0
Collection("COP_DEM_GLO30_DGED")
| id: |
'COP_DEM_GLO30_DGED', |
| title: |
'Copernicus DEM GLO-30 DGED', |
| description: |
'Defence Gridded Elevation Data (DGED, 32 Bit floating point) formatted Copernicus DEM GLO-30 data.
The Copernicus Digital Elevation Model is a Digital Surface Model (DSM) that represents the surface of the Earth
including buildings, infrastructure and vegetation. The Copernicus DEM is provided in 3 different instances: EEA-10,
GLO-30 and GLO-90. GLO-30 provides worldwide coverage at 30 meters.Data were acquired through the TanDEM-X mission
between 2011 and 2015. The datasets were made available for use in 2019 and will be maintained until 2026.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2010-06-21 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['TerraSAR'
, 'TanDEM-X'
, 'DEM'
, 'surface'
, 'GLO-30'
, 'DSM'
, 'GDGED'
], |
| license: |
'other', |
| constellation: |
'TerraSAR', |
| instruments: |
[], |
| eodag:sensor_type: |
'ALTIMETRIC', |
|
|
1
Collection("COP_DEM_GLO30_DTED")
| id: |
'COP_DEM_GLO30_DTED', |
| title: |
'Copernicus DEM GLO-30 DTED', |
| description: |
'Digital Terrain Elevation Data (DTED, 16 Bit signed integer) formatted Copernicus DEM GLO-30 data.
The Copernicus Digital Elevation Model is a Digital Surface Model (DSM) that represents the surface of the Earth
including buildings, infrastructure and vegetation. The Copernicus DEM is provided in 3 different instances: EEA-10,
GLO-30 and GLO-90. GLO-30 provides worldwide coverage at 30 meters.Data were acquired through the TanDEM-X mission
between 2011 and 2015. The datasets were made available for use in 2019 and will be maintained until 2026.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2010-06-21 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['TerraSAR'
, 'TanDEM-X'
, 'DEM'
, 'surface'
, 'GLO-30'
, 'DSM'
, 'DTED'
], |
| license: |
'other', |
| constellation: |
'TerraSAR', |
| instruments: |
[], |
| eodag:sensor_type: |
'ALTIMETRIC', |
|
|
2
Collection("COP_DEM_GLO90_DGED")
| id: |
'COP_DEM_GLO90_DGED', |
| title: |
'Copernicus DEM GLO-90 DGED', |
| description: |
'Defence Gridded Elevation Data (DGED, 32 Bit floating point) formatted Copernicus DEM GLO-90 data.
The Copernicus Digital Elevation Model is a Digital Surface Model (DSM) that represents the surface of the Earth
including buildings, infrastructure and vegetation. The Copernicus DEM is provided in 3 different instances: EEA-10,
GLO-30 and GLO-90. GLO-90 provides worldwide coverage at 90 meters.Data were acquired through the TanDEM-X mission
between 2011 and 2015. The datasets were made available for use in 2019 and will be maintained until 2026.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2010-06-21 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['TerraSAR'
, 'TanDEM-X'
, 'DEM'
, 'surface'
, 'GLO-90'
, 'DSM'
, 'GDGED'
], |
| license: |
'other', |
| constellation: |
'TerraSAR', |
| instruments: |
[], |
| eodag:sensor_type: |
'ALTIMETRIC', |
|
|
3
Collection("COP_DEM_GLO90_DTED")
| id: |
'COP_DEM_GLO90_DTED', |
| title: |
'Copernicus DEM GLO-90 DTED', |
| description: |
'Digital Terrain Elevation Data (DTED, 16 Bit signed integer) formatted Copernicus DEM GLO-90 data.
The Copernicus Digital Elevation Model is a Digital Surface Model (DSM) that represents the surface of the Earth
including buildings, infrastructure and vegetation. The Copernicus DEM is provided in 3 different instances: EEA-10,
GLO-30 and GLO-90. GLO-90 provides worldwide coverage at 90 meters.Data were acquired through the TanDEM-X mission
between 2011 and 2015. The datasets were made available for use in 2019 and will be maintained until 2026.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2010-06-21 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['TerraSAR'
, 'TanDEM-X'
, 'DEM'
, 'surface'
, 'GLO-90'
, 'DSM'
, 'DTED'
], |
| license: |
'other', |
| constellation: |
'TerraSAR', |
| instruments: |
[], |
| eodag:sensor_type: |
'ALTIMETRIC', |
|
|
4
Collection("GHS_BUILT_C")
| id: |
'GHS_BUILT_C', |
| title: |
'GHS Settlement Characteristics, derived from Sentinel2 composite (2018) and other GHS R2023A data', |
| description: |
'The spatial raster dataset delineates the boundaries of the human settlements at 10m resolution, and describe
their inner characteristics in terms of the morphology of the built environment and the functional use.
The Morphological Settlement Zone (MSZ) delineates the spatial domain of all the human settlements at the neighboring
scale of approx. 100m, based on the spatial generalization of the built-up surface fraction (BUFRAC) function.
The objective is to fill the open spaces that are surrounded by large patches of built space.
MSZ, open spaces, and built spaces basic class abstractions are derived by mathematical morphology spatial filtering
(opening, closing, regional maxima) from the BUFRAC function.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2018-01-01 00:00:00+00:00
, 2018-12-31 00:00:00+00:00
]
]
}
}, |
| keywords: |
['GHS'
, 'Settlement'
, 'Built-up'
, 'Boundaries'
, 'GHS-BUILT-C'
, 'MSZ'
, 'BUFRAC'
, 'Sentinel-2'
], |
| license: |
'other', |
| constellation: |
'Sentinel-2', |
| eodag:sensor_type: |
'multi', |
|
|
5
Collection("GHS_BUILT_H")
| id: |
'GHS_BUILT_H', |
| title: |
'GHS-BUILT-H R2023A - GHS building height, derived from AW3D30, SRTM30, and Sentinel2 composite (2018)', |
| description: |
'The spatial raster dataset depicts the spatial distribution of the building heights as extracted from the filtering of a composite
of global digital elevation models (DEM) and the filtering of satellite imagery using linear regression techniques.
The used input DEMs are the ALOS World 3D - 30m (AW3D30, 2006-2011) and the Shuttle Radar Topography Mission 30m (SRTM30, 2000).
The building heights extracted from these sources are updated using the support of the shadow markers extracted from the Sentinel2 image
data composite of the year 2018 (GHS-composite-S2 R2020A).
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2018-01-01 00:00:00+00:00
, 2018-12-31 00:00:00+00:00
]
]
}
}, |
| keywords: |
['GHS'
, 'Settlement'
, 'Built-up'
, 'Height'
, 'GHS-BUILT-H'
, 'AW3D3'
, 'SRTM30'
, 'Sentinel-2'
], |
| license: |
'other', |
| constellation: |
'Sentinel-2', |
| eodag:sensor_type: |
'multi', |
|
|
6
Collection("GHS_BUILT_LAUSTAT")
| id: |
'GHS_BUILT_LAUSTAT', |
| title: |
'GHS built-up surface statistics in European LAU, multitemporal (1975-2020)', |
| description: |
'This product contains the summary statistics of GHS-BUILT-S multi-temporal (1975-2020) at Local Administrative Unit Level (LAU)
from the 2020 layer provided by GISCO. For each LAU the table contains the sum of built-up surface (GHS-BUILT-S) between
1975 and 2020 in 5 years interval, expressed in square kilometres.
', |
| extent: |
{
'spatial': {
'bbox': [[-79.7
, -26.64
, 62.29
, 88.92
]
]
}
,
'temporal': {
'interval': [[1975-01-01 00:00:00+00:00
, 2020-12-31 00:00:00+00:00
]
]
}
}, |
| keywords: |
['GHS'
, 'Settlement'
, 'BUILT'
, 'LAU'
, 'GISCO'
, 'Surface'
], |
| license: |
'other', |
| eodag:sensor_type: |
'multi', |
|
|
7
Collection("GHS_BUILT_S")
| id: |
'GHS_BUILT_S', |
| title: |
'GHS built-up surface spatial raster dataset, derived from Sentinel-2 composite and Landsat, multi-temporal (1975-2030)', |
| description: |
'The GHS-BUILT-S spatial raster dataset depicts the distribution of the built-up (BU) surfaces estimates between
1975 and 2030 in 5 year intervals and two functional use components a) the total BU surface and b) the non-
residential (NRES) BU surface. The data is made by spatial-temporal interpolation of five observed collections
of multiple-sensor, multiple-platform satellite imageries: Landsat (MSS, TM, ETM sensor) data supports the
1975, 1990, 2000, and 2014 epochs, while a Sentinel-2 (S2) image composite (GHS-composite-S2 R2020A)
supports the 2018 epoch.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[1975-01-01 00:00:00+00:00
, 2030-12-31 00:00:00+00:00
]
]
}
}, |
| keywords: |
['GHS'
, 'Settlement'
, 'Built-up'
, 'Surface'
, 'GHS-BUILT-S'
, 'Landsat'
, 'Sentinel-2'
], |
| license: |
'other', |
| constellation: |
'Sentinel-2, LANDSAT', |
| eodag:sensor_type: |
'multi', |
|
|
8
Collection("GHS_BUILT_V")
| id: |
'GHS_BUILT_V', |
| title: |
'GHS built-up volume grids derived from joint assessment of Sentinel2, Landsat, and global DEM data, multitemporal (1975-2030)', |
| description: |
'The spatial raster dataset depicts the distribution of built-up volumes, expressed as number of cubic metres.
The data report about the total built-up volume and the built-up volume allocated to dominant non-residential (NRES) uses.
Data are spatial-temporal interpolated or extrapolated from 1975 to 2030 in 5 years intervals.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[1975-01-01 00:00:00+00:00
, 2030-12-31 00:00:00+00:00
]
]
}
}, |
| keywords: |
['GHS'
, 'Settlement'
, 'Built-up'
, 'Volume'
, 'GHS-BUILT-V'
, 'TanDEM-X'
, 'Landsat'
, 'Sentinel-2'
], |
| license: |
'other', |
| constellation: |
'Sentinel-2, LANDSAT, TanDEM-X', |
| eodag:sensor_type: |
'multi', |
|
|
9
Collection("GHS_DUC")
| id: |
'GHS_DUC', |
| title: |
'GHS Degree of Urbanisation Classification, application of the Degree of Urbanisation methodology (stage II) to GADM 4.1 layer, multitemporal (1975-2030)', |
| description: |
'This dataset contains the Global Degree of Urbanisation Classification of administrative units delineated by the Global ADMinistrative layer version 4.1 (GADM41)
according to the application of stage II of the Degree of Urbanisation.
The classification is based on the Global Human Settlement Layer (GHSL) global datasets GHS R2023: the settlement classification GHS-SMOD (GHS-SMOD_GLOBE_R2023A) and
the population grid GHS-POP (GHS-POP_GLOBE_R2023A) layers for target years 1975-2030 (5 years timestep).
This dataset contains a package composed by one excel table, a summary table gathering global summary statistics and by countries and territories in GADM4.1,
and 72 CSV files, one per GADM level (from 0 to 5) and epoch (1975-2030), with all administrative units classified according to the Degree of Urbanisation.
The spatial delineation of GADM 4.1 administrative units is available on the GADM official website. Please select the whole world shapefile as six separate
layers (one for each level of subdivision/aggregation). The vector layers can be used to join each classification table (csv) with the actual spatial units.
Version 2 includes the improvement of the classification of small spatial units by Degree of Urbanisation level 2 as described in the updated (EUROSTAT manual).
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[1975-01-01 00:00:00+00:00
, 2030-12-31 00:00:00+00:00
]
]
}
}, |
| keywords: |
['GHS'
, 'Settlement'
, 'Urbanisation'
, 'Classification'
, 'GADM'
], |
| license: |
'other', |
| eodag:sensor_type: |
'multi', |
|
|
10
Collection("GHS_ENACT_POP")
| id: |
'GHS_ENACT_POP', |
| title: |
'ENACT-POP R2020A - ENACT 2011 Population Grid', |
| description: |
'This spatial raster dataset depicts the seasonal nighttime and daytime population grids for 2011 (coverage: EU28-2013) produced in the ENACT project.
Values are expressed as decimals (Float) representing the number of people per cell. The data is published at 1 km resolution in
Lambert Azimuthal Equal Area (EPSG:3035, 12 monthly nighttime grids and 12 daytime grids), and at 30 arc-seconds in WGS-84 (EPSG:4326, 12 monthly
nighttime grids and 12 daytime grids). The compressed ZIP files contain TIF files and short documentation.
', |
| extent: |
{
'spatial': {
'bbox': [[-53.51
, 24.791
, 58.715
, 70.916
]
]
}
,
'temporal': {
'interval': [[2011-01-01 00:00:00+00:00
, 2011-12-31 00:00:00+00:00
]
]
}
}, |
| keywords: |
['GHS'
, 'Settlement'
, 'ENACT'
, 'Population'
, 'grid'
], |
| license: |
'other', |
| eodag:sensor_type: |
'multi', |
|
|
11
Collection("GHS_ESM")
| id: |
'GHS_ESM', |
| title: |
'European Settlement Map from Copernicus Very High Resolution data for reference year 2015', |
| description: |
'The European Settlement Map is a spatial raster dataset that is mapping human settlements in Europe based on
Copernicus Very High Resolution optical coverage for reference year 2015 (VHR_IMAGE_2015).The ESM_2015 product
exploits the Copernicus VHR_IMAGE_2015 dataset made of satellite images Pleiades, Deimos-02, WorldView-2,
WorldView-3, GeoEye-01 and Spot 6/7 ranging from 2014 to 2016.
', |
| extent: |
{
'spatial': {
'bbox': [[-31.39
, 27.55
, 44.93
, 71.27
]
]
}
,
'temporal': {
'interval': [[2015-01-01 00:00:00+00:00
, 2015-12-31 00:00:00+00:00
]
]
}
}, |
| keywords: |
['GHS'
, 'Settlement'
, 'ESM'
, 'Europe'
, 'VHR_IMAGE_2015'
], |
| license: |
'other', |
| constellation: |
'Deimos, Pleiades, WorldView, SPOT', |
| platform: |
'Deimos-02, Pleiades-1A, Pleiades-1B, WorldView-2, WorldView-3, GeoEye-01, Spot 6, Spot 7', |
| eodag:sensor_type: |
'multi', |
|
|
12
Collection("GHS_FUA")
| id: |
'GHS_FUA', |
| title: |
'GHS functional urban areas, derived from GHS-UCDB R2019A, (2015), R2019A', |
| description: |
'The GHS Functional Urban Areas (GHS-FUA) delineate the spatial entities representing the commuting area of the Urban Centres of 2015.
The Functional Urban Areas for the epoch 2015 are estimated through an automated classification procedure developed in collaboration
with the OECD, based on objective characteristics (i.e. travel time to the Urban Centres, area of the Urban Centres, local population and country GDP per capita).
Information on the Urban Centres are derived from the GHS-UCDB R2019A dataset (GHS_STATS_UCDB2015MT_GLOBE_R2019A_V1_0); population information
are calculated from the 2015 GHS-POP R2019A dataset (GHS_POP_E2015_GLOBE_R2019A_V1_0); travel time from each cell towards the edge of
the closest (in time) Urban Centre is estimated by using the global friction matrix; the Urban Centre GDP is inherited from the
country GDP per capita (World Development Indicators: NY.GDP.PCAP.CD), as provided by The World Bank.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2015-01-01 00:00:00+00:00
, 2015-12-31 00:00:00+00:00
]
]
}
}, |
| keywords: |
['GHS'
, 'Settlement'
, 'FUA'
, 'functional areas'
, 'Centres'
], |
| license: |
'other', |
| eodag:sensor_type: |
'multi', |
|
|
13
Collection("GHS_LAND")
| id: |
'GHS_LAND', |
| title: |
'Land fraction as derived from Sentinel2 image composite (2018) and OSM data', |
| description: |
'Land fraction per pixel as derived from Sentinel2 data composite and OpenStreetMap (OSM) data.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2018-01-01 00:00:00+00:00
, 2018-12-31 00:00:00+00:00
]
]
}
}, |
| keywords: |
['GHS'
, 'Settlement'
, 'Land'
, 'OSM'
, 'Sentinel-2'
, 'Landsat'
], |
| license: |
'other', |
| constellation: |
'Sentinel-2, Landsat', |
| eodag:sensor_type: |
'multi', |
|
|
14
Collection("GHS_POP")
| id: |
'GHS_POP', |
| title: |
'GHS population grid multitemporal (1975-2030)', |
| description: |
'The spatial raster dataset depicts the distribution of residential population, expressed as the number of people per cell.
Residential population estimates between 1975 and 2020 in 5-year intervals and projections to 2025 and 2030 derived from CIESIN GPWv4.11
were disaggregated from census or administrative units to grid cells, informed by the distribution, volume, and classification of
built-up as mapped in the Global Human Settlement Layer (GHSL) global layer per corresponding epoch.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[1975-01-01 00:00:00+00:00
, 2030-12-31 00:00:00+00:00
]
]
}
}, |
| keywords: |
['GHS'
, 'Settlement'
, 'Population'
, 'residential'
, 'CIESIN'
, 'GPW'
], |
| license: |
'other', |
| eodag:sensor_type: |
'multi', |
|
|
15
Collection("GHS_SMOD")
| id: |
'GHS_SMOD', |
| title: |
'GHS settlement layers, application of the Degree of Urbanisation methodology (stage I) to GHS-POP R2023A and GHS-BUILT-S R2023A, multitemporal (1975-2030)', |
| description: |
'The layers present the application of the Degree of Urbanisation stage I methodology recommended by UN Statistical Commission to
the global population grid generated by the JRC in the epochs 1975-2030 (5 years timestep).
They have been generated by integration of built-up surface extracted from Landsat and Sentinel-2 image data processing (GHS-BUILT-S R2023),
and population data derived from the CIESIN GPW v4.11 (GHS-POP R2023).
This product (v2) is an update of the data released in 2023 (v1) based on GHS-BUILT-S, GHS-POP and uses an updated definition of
Semi-Dennse Urban Clusters. The Settlement Model is provided at the detailed level (Second Level - L2). First level can be obtained aggregating L2.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[1975-01-01 00:00:00+00:00
, 2030-12-31 00:00:00+00:00
]
]
}
}, |
| keywords: |
['GHS'
, 'Settlement'
, 'Urbanisation'
, 'Sentinel-2'
, 'Landsat'
, 'CIESIN'
, 'GPW'
], |
| license: |
'other', |
| constellation: |
'Landsat, Sentinel-2', |
| eodag:sensor_type: |
'multi', |
|
|
16
Collection("GHS_UCDB_DOMAIN")
| id: |
'GHS_UCDB_DOMAIN', |
| title: |
'Stats in the City - the GHS Urban Centre Database UCDB R2024A by Thematic Domain', |
| description: |
'The GHS Urban Centre Database (GHS-UCDB) describes spatial entities called “Urban Centres” described through a set of multi-temporal thematic
attributes from the GHSL data combined with other free and open data sets. The Urban Centres are defined by specific cut-off values on
resident population and built-up surface share in a 1x1 km uniform global grid. The input data is generated by the GHSL, and the
operating parameters are set in the frame of the “Degree of Urbanisation” (DEGURBA) methodology. The data is grouped by thematic domain.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[1975-01-01 00:00:00+00:00
, 2030-12-31 00:00:00+00:00
]
]
}
}, |
| keywords: |
['GHS'
, 'Settlement'
, 'UCDB'
, 'Urbanisation'
, 'thematic domain'
, 'DEGURBA'
], |
| license: |
'other', |
| eodag:sensor_type: |
'multi', |
|
|
17
Collection("GHS_UCDB_REGION")
| id: |
'GHS_UCDB_REGION', |
| title: |
'Stats in the City - the GHS Urban Centre Database UCDB R2024A by Region', |
| description: |
'The GHS Urban Centre Database (GHS-UCDB) describes spatial entities called “Urban Centres” described through a set of multi-temporal thematic
attributes from the GHSL data combined with other free and open data sets. The Urban Centres are defined by specific cut-off values on
resident population and built-up surface share in a 1x1 km uniform global grid. The input data is generated by the GHSL, and the
operating parameters are set in the frame of the “Degree of Urbanisation” (DEGURBA) methodology. The data is grouped by region.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[1975-01-01 00:00:00+00:00
, 2030-12-31 00:00:00+00:00
]
]
}
}, |
| keywords: |
['GHS'
, 'Settlement'
, 'UCDB'
, 'Urbanisation'
, 'region'
, 'DEGURBA'
], |
| license: |
'other', |
| eodag:sensor_type: |
'multi', |
|
|
18
Collection("HIRS_FDR_1_MULTI")
| id: |
'HIRS_FDR_1_MULTI', |
| title: |
'HIRS Level 1C Fundamental Data Record Release 2 - Multimission - Global', |
| description: |
'This is Release 2 of the Fundamental Data Record (FDR) brightness temperatures
from the High Resolution Infrared Radiation Sounder (HIRS) on board NOAA and Metop
satellites. The data record covers more than 40 years from 29 October 1978 to 31
December 2022. Release 2 provides recalibrated Level 1c brightness temperatures
based on the V4.0 calibration method developed by Cao et al. (2007). This method
was implemented into the NWP-SAF software ATOVS and AVHRR processing Package (AAPP).
This software was consistently used to recalibrate and reprocess data from all HIRS
instruments on board TIROS-N, NOAA-06 to NOAA-19, Metop-A, and Metop-B. Input HIRS
data were collected from NOAA/CLASS and ECMWF archives and merged to produce a
longer time series of some of the satellites.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[1978-10-29 00:00:00+00:00
, 2020-12-31 23:59:59+00:00
]
]
}
}, |
| keywords: |
['HIRS'
, 'L1C'
, 'HIRS'
, 'TIROS'
, 'Metop'
, 'NOAA'
, 'Sounder'
, 'FDR'
], |
| license: |
'other', |
| constellation: |
'Metop,TIROS,NOAA', |
| instruments: |
['HIRS'
], |
| platform: |
'Metop,TIROS,NOAA', |
| processing:level: |
'L1C', |
| eodag:sensor_type: |
'Sounder', |
|
|
19
Collection("L8_OLI_TIRS_C1L1")
| id: |
'L8_OLI_TIRS_C1L1', |
| title: |
'Landsat 8 Level-1', |
| description: |
'Landsat 8 Operational Land Imager and Thermal Infrared Sensor Collection 1 Level-1 products. Details at
https://landsat.usgs.gov/sites/default/files/documents/LSDS-1656_Landsat_Level-1_Product_Collection_Definition.pdf
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2013-02-11 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['OLI'
, 'TIRS'
, 'LANDSAT'
, 'LANDSAT8'
, 'L8'
, 'L1'
, 'C1'
, 'COLLECTION1'
], |
| license: |
'other', |
| constellation: |
'LANDSAT8', |
| instruments: |
['OLI'
, 'TIRS'
], |
| platform: |
'L8', |
| processing:level: |
'L1', |
| eodag:sensor_type: |
'OPTICAL', |
|
|
20
Collection("LANDSAT_C2L1")
| id: |
'LANDSAT_C2L1', |
| title: |
'Landsat Collection 2 Level-1 Product', |
| description: |
'The Landsat Level-1 product is a top of atmosphere product distributed as scaled and calibrated digital numbers.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[1972-07-25 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['OLI'
, 'TIRS'
, 'LANDSAT'
, 'L1'
, 'L2'
, 'L3'
, 'L4'
, 'L5'
, 'L6'
, 'L7'
, 'L8'
, 'C2'
, 'COLLECTION2'
], |
| license: |
'other', |
| constellation: |
'LANDSAT', |
| instruments: |
['OLI'
, 'TIRS'
], |
| platform: |
'L1,L2,L3,L4,L5,L6,L7,L8', |
| processing:level: |
'L1', |
| eodag:sensor_type: |
'OPTICAL', |
|
|
21
Collection("LANDSAT_C2L2")
| id: |
'LANDSAT_C2L2', |
| title: |
'Landsat OLI and TIRS Collection 2 Level-2 Science Products 30-meter multispectral data.', |
| description: |
'Collection 2 Landsat OLI/TIRS Level-2 Science Products (L2SP) include
Surface Reflectance and Surface Temperature scene-based products.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2013-02-11 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['OLI'
, 'TIRS'
, 'LANDSAT'
, 'L8'
, 'L9'
, 'L2'
, 'C2'
, 'COLLECTION2'
], |
| license: |
'other', |
| constellation: |
'LANDSAT', |
| instruments: |
['OLI'
, 'TIRS'
], |
| platform: |
'L8,L9', |
| processing:level: |
'L1', |
| eodag:sensor_type: |
'OPTICAL', |
|
|
22
Collection("LANDSAT_C2L2ALB_BT")
| id: |
'LANDSAT_C2L2ALB_BT', |
| title: |
'Landsat Collection 2 Level-2 Albers Top of Atmosphere Brightness Temperature (BT) Product', |
| description: |
'The Landsat Top of Atmosphere Brightness Temperature (BT) product is a top of atmosphere product with radiance
calculated 'at-sensor', not atmospherically corrected, and expressed in units of Kelvin.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[1982-08-22 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['OLI'
, 'TIRS'
, 'LANDSAT'
, 'L4'
, 'L5'
, 'L7'
, 'L8'
, 'L2'
, 'BT'
, 'Brightness'
, 'Temperature'
, 'C2'
, 'COLLECTION2'
], |
| license: |
'other', |
| constellation: |
'LANDSAT', |
| instruments: |
['OLI'
, 'TIRS'
], |
| platform: |
'L4,L5,L7,L8', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'OPTICAL', |
|
|
23
Collection("LANDSAT_C2L2ALB_SR")
| id: |
'LANDSAT_C2L2ALB_SR', |
| title: |
'Landsat Collection 2 Level-2 Albers Surface Reflectance (SR) Product', |
| description: |
'The Landsat Surface Reflectance (SR) product measures the fraction of incoming solar radiation that is reflected
from Earth's surface to the Landsat sensor.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[1982-08-22 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['OLI'
, 'TIRS'
, 'LANDSAT'
, 'L4'
, 'L5'
, 'L7'
, 'L8'
, 'L2'
, 'L2ALB'
, 'SR'
, 'Surface'
, 'Reflectance'
, 'C2'
, 'COLLECTION2'
], |
| license: |
'other', |
| constellation: |
'LANDSAT', |
| instruments: |
['OLI'
, 'TIRS'
], |
| platform: |
'L4,L5,L7,L8', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'OPTICAL', |
|
|
24
Collection("LANDSAT_C2L2ALB_ST")
| id: |
'LANDSAT_C2L2ALB_ST', |
| title: |
'Landsat Collection 2 Level-2 Albers Surface Temperature (ST) Product', |
| description: |
'The Landsat Surface Temperature (ST) product represents the temperature of the Earth's surface in Kelvin (K).
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[1982-08-22 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['OLI'
, 'TIRS'
, 'LANDSAT'
, 'L4'
, 'L5'
, 'L7'
, 'L8'
, 'L2'
, 'L2ALB'
, 'Surface'
, 'Temperature'
, 'ST'
, 'C2'
, 'COLLECTION2'
], |
| license: |
'other', |
| constellation: |
'LANDSAT', |
| instruments: |
['OLI'
, 'TIRS'
], |
| platform: |
'L4,L5,L7,L8', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'OPTICAL', |
|
|
25
Collection("LANDSAT_C2L2ALB_TA")
| id: |
'LANDSAT_C2L2ALB_TA', |
| title: |
'Landsat Collection 2 Level-2 Albers Top of Atmosphere (TA) Reflectance Product', |
| description: |
'The Landsat Top of Atmosphere (TA) Reflectance product applies per pixel angle band corrections to the Level-1
radiance product.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[1982-08-22 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['OLI'
, 'TIRS'
, 'LANDSAT'
, 'L4'
, 'L5'
, 'L7'
, 'L8'
, 'L2'
, 'L2ALB'
, 'TA'
, 'Top'
, 'Atmosphere'
, 'Reflectance'
, 'C2'
, 'COLLECTION2'
], |
| license: |
'other', |
| constellation: |
'LANDSAT', |
| instruments: |
['OLI'
, 'TIRS'
], |
| platform: |
'L4,L5,L7,L8', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'OPTICAL', |
|
|
26
Collection("LANDSAT_C2L2_SR")
| id: |
'LANDSAT_C2L2_SR', |
| title: |
'Landsat Collection 2 Level-2 UTM Surface Reflectance (SR) Product', |
| description: |
'The Landsat Surface Reflectance (SR) product measures the fraction of incoming solar radiation that is reflected
from Earth's surface to the Landsat sensor.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[1982-08-22 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['OLI'
, 'TIRS'
, 'LANDSAT'
, 'L4'
, 'L5'
, 'L7'
, 'L8'
, 'L2'
, 'SR'
, 'surface'
, 'reflectance'
, 'C2'
, 'COLLECTION2'
], |
| license: |
'other', |
| constellation: |
'LANDSAT', |
| instruments: |
['OLI'
, 'TIRS'
], |
| platform: |
'L4,L5,L7,L8', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'OPTICAL', |
|
|
27
Collection("LANDSAT_C2L2_ST")
| id: |
'LANDSAT_C2L2_ST', |
| title: |
'Landsat Collection 2 Level-2 UTM Surface Temperature (ST) Product', |
| description: |
'The Landsat Surface Temperature (ST) product represents the temperature of the Earth's surface in Kelvin (K).
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[1982-08-22 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['OLI'
, 'TIRS'
, 'LANDSAT'
, 'L4'
, 'L5'
, 'L7'
, 'L8'
, 'L2'
, 'ST'
, 'surface'
, 'temperature'
, 'C2'
, 'COLLECTION2'
], |
| license: |
'other', |
| constellation: |
'LANDSAT', |
| instruments: |
['OLI'
, 'TIRS'
], |
| platform: |
'L4,L5,L7,L8', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'OPTICAL', |
|
|
28
Collection("METOP_AMSU_L1")
| id: |
'METOP_AMSU_L1', |
| title: |
'AMSU-A Level 1B - Metop - Global', |
| description: |
'The Advanced Microwave Sounding Unit-A (AMSU-A) is a 15-channel microwave radiometer
that is used for measuring global atmospheric temperature profiles and will provide
information on atmospheric water in all of its phases (with the exception of small
ice particles, which are transparent at microwave frequencies). AMSU-A will provide
information even in cloudy conditions. AMSU-A measures Earth radiance at frequencies
(in GHz) as listed under the instrument channel information.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2008-03-01 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['METOP'
, 'AMSU-A'
, 'SOUNDER'
, 'L1'
, 'L1B'
, 'WATER'
, 'ATHMOSPHERE'
, 'TEMPERATURE'
, 'AMSxxx1B'
, 'AMSUL1'
], |
| license: |
'other', |
| constellation: |
'METOP', |
| instruments: |
['AMSU-A'
], |
| platform: |
'METOP', |
| processing:level: |
'L1', |
| eodag:sensor_type: |
'SOUNDER', |
|
|
29
Collection("METOP_ASCSZF1B")
| id: |
'METOP_ASCSZF1B', |
| title: |
'ASCAT Level 1 Sigma0 Full Resolution - Metop - Global', |
| description: |
'The prime objective of the Advanced SCATterometer (ASCAT) is to measure wind speed
and direction over the oceans, and the main operational application is the
assimilation of ocean winds in NWP models. Other operational applications, based on
the use of measurements of the backscattering coefficient, are sea ice edge
detection and monitoring, monitoring sea ice, snow cover, soil moisture and surface
parameters. This product consists of geo-located radar backscatter values along the
six ASCAT beams. The different beam measurements are not collocated into a regular
swath grid and the individual measurements are not spatially averaged. The
resolution of each of the 255 backscatter values per each beam varies slightly along
the beam, but it is approximately 10km (in the along beam direction) x 25 km (across
the beam). This product is usually referred to as 'ASCAT Level 1B Full resolution
product'. Note that some of the data are reprocessed. Please refer to the associated
product validation reports or product release notes for further information.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2007-05-31 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['METOP'
, 'ASCAT'
, 'SCATTEROMETER'
, 'L1'
, 'OCEAN'
, 'RADAR-BACKSCATTER-NRCS'
, 'ASCSZF1B'
], |
| license: |
'other', |
| constellation: |
'METOP', |
| instruments: |
['ASCAT'
], |
| platform: |
'METOP', |
| processing:level: |
'L1', |
| eodag:sensor_type: |
'SCATTEROMETER', |
|
|
30
Collection("METOP_ASCSZFR02")
| id: |
'METOP_ASCSZFR02', |
| title: |
'ASCAT Level 1 SZF Climate Data Record Release 2 - Metop', |
| description: |
'Reprocessed L1B data from the Advanced Scatterometer (ASCAT) on METOP-A, resampled
at full resolution (SZF). Normalized radar cross section (NRCS) of the Earth surface
together with measurement time, location (latitude and longitude) and geometrical
information (incidence and azimuth angles). The prime objective of the Advanced
SCATterometer (ASCAT) is to measure wind speed and direction over the oceans, and
the main operational application is the assimilation of ocean winds in NWP models.
Other operational applications, based on the use of measurements of the
backscattering coefficient, are sea ice edge detection and monitoring, monitoring
sea ice, snow cover, soil moisture and surface parameters. This product is also
available at 12.5 and 25 km Swath Grids. This is a Fundamental Climate Data Record
(FCDR).
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2007-01-01 00:00:00+00:00
, 2014-04-01 00:00:00+00:00
]
]
}
}, |
| keywords: |
['METOP'
, 'ASCAT'
, 'SCATTEROMETER'
, 'L1'
, 'CLIMATE'
, 'FUNDAMENTAL-CLIMATE-DATA-RECORD'
, 'ASCSZF1B0200'
, 'ASCSZFR02'
], |
| license: |
'other', |
| constellation: |
'METOP', |
| instruments: |
['ASCAT'
], |
| platform: |
'METOP', |
| processing:level: |
'L1', |
| eodag:sensor_type: |
'SCATTEROMETER', |
|
|
31
Collection("METOP_ASCSZO1B")
| id: |
'METOP_ASCSZO1B', |
| title: |
'ASCAT Level 1 Sigma0 resampled at 25 km Swath Grid - Metop - Global', |
| description: |
'The prime objective of the Advanced SCATterometer (ASCAT) is to measure wind speed
and direction over the oceans, and the main operational application is the
assimilation of ocean winds in NWP models. Other operational applications, based on
the use of measurements of the backscattering coefficient, are sea ice edge
detection and monitoring, monitoring sea ice, snow cover, soil moisture and surface
parameters. The product is available from the archive in 2 different spatial
resolutions; 25 km and 12.5 km. Note that some of the data are reprocessed. Please
refer to the associated product validation reports or product release notes for
further information. Near real-time distribution discontinued on 29/09/2015 but the
product contents are now available in the corresponding Level 2 product 'ASCAT Soil
Moisture at 25 km Swath Grid'.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2007-03-01 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['METOP'
, 'ASCAT'
, 'SCATTEROMETER'
, 'L1'
, 'LAND'
, 'OCEAN'
, 'RADAR-BACKSCATTER-NRCS'
, 'ASCSZO1B'
], |
| license: |
'other', |
| constellation: |
'METOP', |
| instruments: |
['ASCAT'
], |
| platform: |
'METOP', |
| processing:level: |
'L1', |
| eodag:sensor_type: |
'SCATTEROMETER', |
|
|
32
Collection("METOP_ASCSZOR02")
| id: |
'METOP_ASCSZOR02', |
| title: |
'ASCAT Level 1 SZO Climate Data Record Release 2 - Metop', |
| description: |
'Reprocessed L1B data from the Advanced Scatterometer (ASCAT) on METOP-A, resampled
at 25 km Swath Grid (SZO). Normalized radar cross section (NRCS) triplets of the
Earth surface together with measurement time, location (latitude and longitude) and
geometrical information (incidence and azimuth angles). The prime objective of the
Advanced SCATterometer (ASCAT) is to measure wind speed and direction over the
oceans, and the main operational application is the assimilation of ocean winds in
NWP models. Other operational applications, based on the use of measurements of the
backscattering coefficient, are sea ice edge detection and monitoring, monitoring
sea ice, snow cover, soil moisture and surface parameters. This product is also
available at full resolution and at 12.5 km Swath Grid. This is a Fundamental
Climate Data Record (FCDR).
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2007-01-01 00:00:00+00:00
, 2014-04-01 00:00:00+00:00
]
]
}
}, |
| keywords: |
['METOP'
, 'ASCAT'
, 'SCATTEROMETER'
, 'L1'
, 'CLIMATE'
, 'FUNDAMENTAL-CLIMATE-DATA-RECORD'
, 'ASCSZOR02'
, 'ASCSZO1B0200'
], |
| license: |
'other', |
| constellation: |
'METOP', |
| instruments: |
['ASCAT'
], |
| platform: |
'METOP', |
| processing:level: |
'L1', |
| eodag:sensor_type: |
'SCATTEROMETER', |
|
|
33
Collection("METOP_ASCSZR1B")
| id: |
'METOP_ASCSZR1B', |
| title: |
'ASCAT Level 1 Sigma0 resampled at 12.5 km Swath Grid - Metop - Global', |
| description: |
'The prime objective of the Advanced SCATterometer (ASCAT) is to measure wind speed
and direction over the oceans, and the main operational application is the
assimilation of ocean winds in NWP models. Other operational applications, based on
the use of measurements of the backscattering coefficient, are sea ice edge
detection and monitoring, monitoring sea ice, snow cover, soil moisture and surface
parameters. The product is available from the archive in 2 different spatial
resolutions; 25 km and 12.5 km. Note that some of the data are reprocessed. Please
refer to the associated product validation reports or product release notes for
further information. Near real-time distribution discontinued on 29/09/2015 but the
product contents are now available in the corresponding Level 2 product 'ASCAT Soil
Moisture at 12.5 km Swath Grid'.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2007-03-01 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['METOP'
, 'ASCAT'
, 'SCATTEROMETER'
, 'L1'
, 'LAND'
, 'OCEAN'
, 'RADAR-BACKSCATTER-NRCS'
, 'ASCSZR1B'
], |
| license: |
'other', |
| constellation: |
'METOP', |
| instruments: |
['ASCAT'
], |
| platform: |
'METOP', |
| processing:level: |
'L1', |
| eodag:sensor_type: |
'SCATTEROMETER', |
|
|
34
Collection("METOP_ASCSZRR02")
| id: |
'METOP_ASCSZRR02', |
| title: |
'ASCAT Level 1 SZR Climate Data Record Release 2 - Metop', |
| description: |
'Reprocessed L1B data from the Advanced Scatterometer (ASCAT) on METOP-A, resampled
at 12.5 km Swath Grid (SZR). Normalized radar cross section (NRCS) triplets of the
Earth surface together with measurement time, location (latitude and longitude) and
geometrical information (incidence and azimuth angles). The prime objective of the
Advanced SCATterometer (ASCAT) is to measure wind speed and direction over the
oceans, and the main operational application is the assimilation of ocean winds in
NWP models. Other operational applications, based on the use of measurements of the
backscattering coefficient, are sea ice edge detection and monitoring, monitoring
sea ice, snow cover, soil moisture and surface parameters. This product is also
available at full resolution and at 25 km Swath Grid. This is a Fundamental Climate
Data Record (FCDR).
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2007-01-01 00:00:00+00:00
, 2014-04-01 00:00:00+00:00
]
]
}
}, |
| keywords: |
['METOP'
, 'ASCAT'
, 'SCATTEROMETER'
, 'L1'
, 'CLIMATE'
, 'FUNDAMENTAL-CLIMATE-DATA-RECORD'
, 'ASCSZR1B0200'
, 'ASCSZRR02'
], |
| license: |
'other', |
| constellation: |
'METOP', |
| instruments: |
['ASCAT'
], |
| platform: |
'METOP', |
| processing:level: |
'L1', |
| eodag:sensor_type: |
'SCATTEROMETER', |
|
|
35
Collection("METOP_AVHRRGACR02")
| id: |
'METOP_AVHRRGACR02', |
| title: |
'AVHRR GAC Atmospheric Motion Vectors Climate Data Record Release 2 - Multimission - Polar', |
| description: |
'This is the second release of the reprocessed polar Atmospheric Motion Vectors (AMV)
Thematic Climate Data Record (TCDR) from the Advanced Very High Resolution
Radiometer (AVHRR) in Global Area Coverage (GAC), from TIROS-N, NOAA-06, 07, 08, 09,
10, 11, 12, 14, 15, 16, 17, 18 and 19 and Metop-A and -B. It contains AMVs at all
heights below the tropopause, derived from images in the Infrared channel at 10.8
microns. Vectors are retrieved by tracking the motion of clouds in two consecutive
images. The height assignment of the AMVs is calculated using the Cross-Correlation
Contribution (CCC) function to determine the height using the pixels that contribute
the most to the vectors. A quality indicator is derived for each vector to assess
the reliability of the retrieval. Products are stored in netCDF4 format and cover
the period from January 1979 to September 2019.
This is a Thematic Climate Data Record (TCDR).
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[1979-01-01 00:00:00+00:00
, 2019-09-01 00:00:00+00:00
]
]
}
}, |
| keywords: |
['METOP'
, 'AVHRR'
, 'RADIOMETER'
, 'L2'
, 'WIND'
, 'CLIMATE'
, 'ATMOSPHERE'
, 'THEMATIC-CLIMATE-DATA-RECORD'
, 'AVHGAC020200'
], |
| license: |
'other', |
| constellation: |
'METOP,TIROS,NOAA', |
| instruments: |
['AVHRR'
], |
| platform: |
'METOP,TIROS,NOAA', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'RADIOMETER', |
|
|
36
Collection("METOP_AVHRRL1")
| id: |
'METOP_AVHRRL1', |
| title: |
'AVHRR Level 1B - Metop - Global', |
| description: |
'The Advanced Very High Resolution Radiometer (AVHRR) operates at 5 different channels simultaneously in the visible
and infrared bands, with wavelengths specified in the instrument channels description. Channel 3 switches between 3a
and 3b for daytime and nighttime. As a high-resolution imager (about 1.1 km near nadir) its main purpose is to
provide cloud and surface information such as cloud coverage, cloud top temperature, surface temperature over land
and sea, and vegetation or snow/ice. In addition, AVHRR products serve as input for the level 2 processing of IASI
and ATOVS.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2008-03-01 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['METOP'
, 'AVHRR'
, 'RADIOMETER'
, 'L1'
, 'ATMOSPHERE'
, 'OCEAN'
, 'AVHXXX1B'
, 'AVHRRL1'
], |
| license: |
'other', |
| constellation: |
'METOP', |
| instruments: |
['AVHRR'
], |
| platform: |
'METOP', |
| processing:level: |
'L1', |
| eodag:sensor_type: |
'RADIOMETER', |
|
|
37
Collection("METOP_GLB_SST_NC")
| id: |
'METOP_GLB_SST_NC', |
| title: |
'Global L3C AVHRR Sea Surface Temperature (GHRSST) - Metop', |
| description: |
'Global Metop/AVHRR sub-skin Sea Surface Temperature (GBL SST) is a 12 hourly synthesis on a 0.05° global grid. The
product format is compliant with the Data Specification (GDS) version 2 from the Group for High Resolution Sea
Surface Temperatures (GHRSST).
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2016-07-12 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['METOP'
, 'AVHRR'
, 'RADIOMETER'
, 'L3'
, 'OCEAN'
, 'SEA-SURFACE-TEMPERATURE'
, 'OSSTGLBN'
, 'OSI-201-B'
, 'GLB-SST'
, 'OSSTGLB'
], |
| license: |
'other', |
| constellation: |
'METOP', |
| instruments: |
['AVHRR'
], |
| platform: |
'METOP', |
| processing:level: |
'L3', |
| eodag:sensor_type: |
'RADIOMETER', |
|
|
38
Collection("METOP_GOMEL1")
| id: |
'METOP_GOMEL1', |
| title: |
'GOME-2 Level 1B - Metop - Global', |
| description: |
'The Global Ozone Monitoring Experiment-2 (GOME-2) spectrometer measures profiles and total columns of ozone and of
other atmospheric constituents that are related to the depletion of ozone in the stratosphere and its production in
the troposphere, as well as to natural and anthropogenic sources of pollution.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2007-01-01 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['METOP'
, 'GOME-2'
, 'SPECTROMETER'
, 'L1'
, 'ATMOSPHERE'
, 'GOMEL1'
, 'GOMXXX1B'
], |
| license: |
'other', |
| constellation: |
'METOP', |
| instruments: |
['GOME-2'
], |
| platform: |
'METOP', |
| processing:level: |
'L1', |
| eodag:sensor_type: |
'SPECTROMETER', |
|
|
39
Collection("METOP_GOMEL1R03")
| id: |
'METOP_GOMEL1R03', |
| title: |
'GOME-2 Level 1B Fundamental Data Record Release 3 - Metop-A and -B', |
| description: |
'This is release 3 of the Global Ozone Monitoring Experiment 2 (GOME-2) Level 1B Fundamental Data Record from Metop-A
and -B. GOME-2 is an optical spectrometer. GOME-2 senses the Earth's backscattered radiance and extra-terrestrial
solar irradiance in the ultraviolet and visible part of the spectrum (240 nm - 790 nm) at a high spectral resolution
between 0.26 nm and 0.51 nm. There are 4096 spectral points from four detector channels transferred for each
individual GOME-2 measurement. This is a Fundamental Data Record (FDR). Disclaimer: GOME2-A channel 3 should be
careful to use for the period: April 2007 until March 2009 when doing DOAS retrievals.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2007-04-01 00:00:00+00:00
, 2020-08-01 00:00:00+00:00
]
]
}
}, |
| keywords: |
['METOP'
, 'GOME-2'
, 'SPECTROMETER'
, 'L1'
, 'CLIMATE'
, 'FUNDAMENTAL-DATA-RECORD'
, 'FDR'
, 'CLOUDS'
, 'ATMOSPHERE'
, 'RADIATION'
, 'GOMXXX1B0300'
], |
| license: |
'other', |
| constellation: |
'METOP', |
| instruments: |
['GOME-2'
], |
| platform: |
'METOP', |
| processing:level: |
'L1', |
| eodag:sensor_type: |
'SPECTROMETER', |
|
|
40
Collection("METOP_HIRSL1")
| id: |
'METOP_HIRSL1', |
| title: |
'HIRS Level 1B - Metop - Global', |
| description: |
'The High Resolution Infrared Sounder (HIRS) operates at 20 channels (19 channels in the infrared and one in the
visible). Its main purpose is to provide input for the vertical temperature and humidity profile retrievals. In
addition, the HIRS pixel resolution serves as the standard grid resolution for all ATOVS level 2 products.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2009-03-23 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['METOP'
, 'HIRS'
, 'SOUNDER'
, 'L1'
, 'L1B'
, 'ATMOSPHERE'
, 'HIRxxx1B'
, 'HIRSL1'
], |
| license: |
'other', |
| constellation: |
'METOP', |
| instruments: |
['HIRS'
], |
| platform: |
'METOP', |
| processing:level: |
'L1', |
| eodag:sensor_type: |
'SOUNDER', |
|
|
41
Collection("METOP_IASIL1C_ALL")
| id: |
'METOP_IASIL1C_ALL', |
| title: |
'IASI Level 1C - All Spectral Samples - Metop - Global', |
| description: |
'This product covers all spectral samples. The main objective of the Infrared Atmospheric Sounding Interferometer
(IASI) is to provide high resolution atmospheric emission spectra to derive temperature and humidity profiles with
high spectral and vertical resolution and accuracy. Additionally it is used for the determination of trace gases
such as ozone, nitrous oxide, carbon dioxide and methane, as well as land and sea surface temperature, emissivity
and cloud properties. The IASI L1c product contains infra-red radiance spectra at 0.5cm-1 resolution. The EUMETCast
product has for each sounder pixel 8461 spectral samples covering the range between 645.0 cm-1 and 2760 cm-1.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2009-03-23 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['METOP'
, 'IASI'
, 'INTERFEROMETER'
, 'L1'
, 'L1C'
, 'ATMOSPHERE'
, 'IASIL1C-ALL'
, 'IASxxx1C'
], |
| license: |
'other', |
| constellation: |
'METOP', |
| instruments: |
['IASI'
], |
| platform: |
'METOP', |
| processing:level: |
'L1', |
| eodag:sensor_type: |
'INTERFEROMETER', |
|
|
42
Collection("METOP_IASSND02")
| id: |
'METOP_IASSND02', |
| title: |
'IASI Combined Sounding Products - Metop', |
| description: |
'The main objective of the Infrared Atmospheric Sounding Interferometer (IASI) is to provide high resolution
atmospheric emission spectra to derive temperature and humidity profiles with high spectral and vertical resolution
and accuracy. Additionally, it is used for the determination of trace gases such as ozone, as well as land and sea
surface temperature, emissivity and cloud properties. This combined product (IASI Atmospheric Temperature Water
Vapour and Surface Skin Temperature; IASI Cloud Parameters; IASI Ozone and IASI Trace Gases contains temperature
Profiles, Humidity Profiles, Surface Temperature, Surface Emissivity, Fractional Cloud Cover, Cloud Top Temperature,
Cloud Top Pressure, Cloud Phase, Total Column Ozone, Columnar ozone amounts in thick layers, Total column N2O, CO,
CH4, CO2 - all combined in one product.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2008-02-13 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['METOP'
, 'IASI'
, 'INTERFEROMETER'
, 'L2'
, 'CLIMATE'
, 'TEMPERATURE'
, 'ATMOSPHERE'
, 'HUMIDITY'
, 'IASSND02'
], |
| license: |
'other', |
| constellation: |
'METOP', |
| instruments: |
['IASI'
], |
| platform: |
'METOP', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'INTERFEROMETER', |
|
|
43
Collection("METOP_IASTHR011")
| id: |
'METOP_IASTHR011', |
| title: |
'IASI All Sky Temperature and Humidity Profiles - Climate Data Record Release 1.1 - Metop-A and -B', |
| description: |
'This is the release 1.1 of the climate data record of "all-sky" temperature and humidity profiles and their
associated quality parameters. The CDR was processed using the latest operational EUMETSAT algorithms available
(V6.5.4, 12/2019). It consists of the outputs of the statistical retrieval module Piece Wise Linear Regression only.
This provides a homogeneous CDR throughout the time period.
On the 8 August 2023, year 2022 was added to the CDR.
This is a Thematic Climate Data Record (TCDR).
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2007-07-10 00:00:00+00:00
, 2023-01-01 00:00:00+00:00
]
]
}
}, |
| keywords: |
['METOP'
, 'IASI'
, 'INTERFEROMETER'
, 'L2'
, 'CLIMATE'
, 'TEMPERATURE'
, 'ATMOSPHERE'
, 'HUMIDITY'
, 'LAND-SURFACE-TEMPERATURE'
, 'THEMATIC-CLIMATE-DATA-RECORD'
, 'SEA-SURFACE-TEMPERATURE'
, 'IASTHPW30101'
], |
| license: |
'other', |
| constellation: |
'METOP', |
| instruments: |
['IASI'
], |
| platform: |
'METOP', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'INTERFEROMETER', |
|
|
44
Collection("METOP_LSA_002")
| id: |
'METOP_LSA_002', |
| title: |
'Daily Land Surface Temperature - Metop', |
| description: |
'The EDLST (EPS Daily Land Surface Temperature) provides a composite of day-time and nigh-time retrievals of LST
based on clear-sky measurements from the Advanced Very High Resolution Radiometer (AVHRR) on-board EUMETSAT polar
system satellites, the Metop series.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2015-01-01 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['METOP'
, 'AVHRR'
, 'RADIOMETER'
, 'L3'
, 'LAND-SURFACE-TEMPERATURE'
, 'SURFACE-RADIATION-BUDGET'
, 'LAND'
, 'EDLST'
, 'LSA-002'
], |
| license: |
'other', |
| constellation: |
'METOP', |
| instruments: |
['AVHRR'
], |
| platform: |
'METOP', |
| processing:level: |
'L3', |
| eodag:sensor_type: |
'RADIOMETER', |
|
|
45
Collection("METOP_MHSL1")
| id: |
'METOP_MHSL1', |
| title: |
'MHS Level 1B - Metop - Global', |
| description: |
'The Microwave Humidity Sounder (MHS) is a 5 channel instrument used to provide input to the retrieval of surface
temperatures, emissivities, and atmospheric humidity. In combination with AMSU-A information it can also be used to
process precipitation rates and related cloud properties, as well as to detect sea ice and snow coverage.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2009-03-23 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['METOP'
, 'MHS'
, 'SOUNDER'
, 'L1'
, 'L1B'
, 'ATMOSPHERE'
, 'MHSxxx1B'
, 'MHSL1'
], |
| license: |
'other', |
| constellation: |
'METOP', |
| instruments: |
['MHS'
], |
| platform: |
'METOP', |
| processing:level: |
'L1', |
| eodag:sensor_type: |
'SOUNDER', |
|
|
46
Collection("METOP_OSI_104")
| id: |
'METOP_OSI_104', |
| title: |
'ASCAT Coastal Winds at 12.5 km Swath Grid - Metop', |
| description: |
'Equivalent neutral 10m winds over the global oceans, with specific sampling to
provide as many observations as possible near the coasts. Better than using this
archived NRT product, please use the reprocessed ASCAT winds data records
(METOP_OSI_150A, METOP_OSI_150B).
For Metop-A, t is recommended that the reprocessed ASCAT winds data records
(10.15770/EUM_SAF_OSI_0007) are used instead of this archived NRT product for the
period before 1 April 2014.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2013-04-16 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['METOP'
, 'ASCAT'
, 'SCATTEROMETER'
, 'L2'
, 'WEATHER'
, 'OCEAN-SURFACE-WIND'
, 'OCEAN'
, 'RADAR-BACKSCATTER-NRCS'
, 'OSI-104'
, 'ASCAT12+'
, 'OSI-104-C'
, 'OSI-104-B'
, 'OASWC12'
], |
| license: |
'other', |
| constellation: |
'METOP', |
| instruments: |
['ASCAT'
], |
| platform: |
'METOP', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'SCATTEROMETER', |
|
|
47
Collection("METOP_OSI_150A")
| id: |
'METOP_OSI_150A', |
| title: |
'ASCAT L2 25 km Winds Data Record Release 1 - Metop', |
| description: |
'The ASCAT Wind Product contains stress equivalent 10m winds (speed and direction)
over the global oceans. The winds are obtained through the processing of reprocessed
scatterometer backscatter data originating from the ASCAT instrument on EUMETSAT's
Metop satellite.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2007-01-01 00:00:00+00:00
, 2014-04-01 00:00:00+00:00
]
]
}
}, |
| keywords: |
['METOP'
, 'ASCAT'
, 'SCATTEROMETER'
, 'L2'
, 'WEATHER'
, 'OCEAN-SURFACE-WIND'
, 'OCEAN'
, 'RADAR-BACKSCATTER-NRCS'
, 'OSI-150-A'
, 'OR1ASW025'
, 'REPASC25'
], |
| license: |
'other', |
| constellation: |
'METOP', |
| instruments: |
['ASCAT'
], |
| platform: |
'METOP', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'SCATTEROMETER', |
|
|
48
Collection("METOP_OSI_150B")
| id: |
'METOP_OSI_150B', |
| title: |
'ASCAT L2 12.5 km Winds Data Record Release 1 - Metop', |
| description: |
'The ASCAT Wind Product contains stress equivalent 10m winds (speed and direction)
over the global oceans. The winds are obtained through the processing of reprocessed
scatterometer backscatter data originating from the ASCAT instrument on EUMETSAT's
Metop satellite.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2007-01-01 00:00:00+00:00
, 2014-04-01 00:00:00+00:00
]
]
}
}, |
| keywords: |
['METOP'
, 'ASCAT'
, 'SCATTEROMETER'
, 'L2'
, 'WEATHER'
, 'OCEAN-SURFACE-WIND'
, 'OCEAN'
, 'RADAR-BACKSCATTER-NRCS'
, 'OSI-150-B'
, 'OR1ASWC12'
, 'REPASC12+'
], |
| license: |
'other', |
| constellation: |
'METOP', |
| instruments: |
['ASCAT'
], |
| platform: |
'METOP', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'SCATTEROMETER', |
|
|
49
Collection("METOP_SOMO12")
| id: |
'METOP_SOMO12', |
| title: |
'ASCAT Soil Moisture at 12.5 km Swath Grid in NRT - Metop', |
| description: |
'The Soil Moisture (SM) product is derived from the Advanced SCATterometer (ASCAT)
backscatter observations and given in swath orbit geometry (12.5 km sampling). This
SM product provides an estimate of the water content of the 0-5 cm topsoil layer,
expressed in degree of saturation between 0 and 100 [%]. The algorithm used to
derive this parameter is based on a linear relationship of SM and scatterometer
backscatter and uses change detection techniques to eliminate the contributions of
vegetation, land cover and surface topography, considered invariant from year to
year. Seasonal vegetation effects are modelled by exploiting the multi-angle viewing
capabilities of ASCAT. The SM processor has been developed by Vienna University of
Technology (TU Wien). Note that some of the data are reprocessed. Please refer to
the associated product validation reports or product release notes for further
information.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2007-06-01 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['METOP'
, 'ASCAT'
, 'SCATTEROMETER'
, 'L2'
, 'LAND'
, 'SOIL-MOISTURE'
, 'SOMO12'
, 'ASCSMR02'
, 'SSM-ASCAT-C-NRT-O12.5'
, 'H101'
, 'H16'
, 'H104'
], |
| license: |
'other', |
| constellation: |
'METOP', |
| instruments: |
['ASCAT'
], |
| platform: |
'METOP', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'SCATTEROMETER', |
|
|
50
Collection("METOP_SOMO25")
| id: |
'METOP_SOMO25', |
| title: |
'ASCAT Soil Moisture at 25 km Swath Grid in NRT - Metop', |
| description: |
'The Soil Moisture (SM) product is derived from the Advanced SCATterometer (ASCAT)
backscatter observations and given in swath orbit geometry (25 km sampling). This SM
product provides an estimate of the water content of the 0-5 cm topsoil layer,
expressed in degree of saturation between 0 and 100 [%]. The algorithm used to
derive this parameter is based on a linear relationship of SM and scatterometer
backscatter and uses change detection techniques to eliminate the contributions of
vegetation, land cover and surface topography, considered invariant from year to
year. Seasonal vegetation effects are modelled by exploiting the multi-angle viewing
capabilities of ASCAT. The SM processor has been developed by Vienna University of
Technology (TU Wien). Note that some of the data are reprocessed. Please refer to
the associated product validation reports or product release notes for further
information.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2007-06-01 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['METOP'
, 'ASCAT'
, 'SCATTEROMETER'
, 'L2'
, 'LAND'
, 'SOIL-MOISTURE'
, 'ASCSMO02'
, 'H102'
, 'H103'
, 'SOMO25'
, 'H105'
, 'SSM-ASCAT-C-NRT-O25'
], |
| license: |
'other', |
| constellation: |
'METOP', |
| instruments: |
['ASCAT'
], |
| platform: |
'METOP', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'SCATTEROMETER', |
|
|
51
Collection("MFG_GSA_57")
| id: |
'MFG_GSA_57', |
| title: |
'GSA Level 2 Climate Data Record Release 2 - MFG - 57 degree', |
| description: |
'Release 2 of the Thematic Climate Data Record (TCDR) of the Meteosat First
Generation (MFG) Level 2 land surface albedo. The variables estimated are
black-sky albedo (BSA) and white-sky albedo (WSA) with the corresponding
uncertainties as explained in the Product User Guide (PUM). The data record
validation and limitations are provided in the Validation Report (VR). The
products are available in netCDF4 format. This release contains products
generated with Meteosat-7.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2006-12-07 00:00:00+00:00
, 2017-03-30 23:59:59+00:00
]
]
}
}, |
| keywords: |
['MVIRI'
, 'L2'
, 'MFG'
, 'Climate'
, 'Thematic'
], |
| license: |
'other', |
| constellation: |
'MFG', |
| instruments: |
['MVIRI'
], |
| platform: |
'MFG', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'OPTICAL', |
|
|
52
Collection("MFG_GSA_63")
| id: |
'MFG_GSA_63', |
| title: |
'GSA Level 2 Climate Data Record Release 2 - MFG - 63 degree', |
| description: |
'Release 2 of the Thematic Climate Data Record (TCDR) of the Meteosat First
Generation (MFG) Level 2 land surface albedo. The variables estimated are
black-sky albedo (BSA) and white-sky albedo (WSA) with the corresponding
uncertainties as explained in the Product User Guide (PUM). The data record
validation and limitations are provided in the Validation Report (VR). The
products are available in netCDF4 format. This release contains products
generated with Meteosat-5.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[1998-07-10 00:00:00+00:00
, 2007-04-10 23:59:59+00:00
]
]
}
}, |
| keywords: |
['MVIRI'
, 'L2'
, 'MFG'
, 'Climate'
, 'Thematic'
], |
| license: |
'other', |
| constellation: |
'MFG', |
| instruments: |
['MVIRI'
], |
| platform: |
'MFG', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'OPTICAL', |
|
|
53
Collection("MODIS_MCD43A4")
| id: |
'MODIS_MCD43A4', |
| title: |
'MODIS MCD43A4', |
| description: |
'The MODerate-resolution Imaging Spectroradiometer (MODIS) Reflectance product MCD43A4 provides 500 meter
reflectance data adjusted using a bidirectional reflectance distribution function (BRDF) to model the values as if
they were taken from nadir view. The MCD43A4 product contains 16 days of data provided in a level-3 gridded data
set in Sinusoidal projection. Both Terra and Aqua data are used in the generation of this product, providing the
highest probability for quality assurance input data. It is designated with a shortname beginning with MCD, which
is used to refer to 'combined' products, those comprised of data using both Terra and Aqua.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2000-03-05 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['MODIS'
, 'Terra'
, 'Aqua'
, 'EOS'
, 'AM-1+PM-1'
, 'L3'
, 'MCD43A4'
], |
| license: |
'other', |
| constellation: |
'Terra+Aqua', |
| instruments: |
['MODIS'
], |
| platform: |
'EOS AM-1+PM-1', |
| processing:level: |
'L3', |
| eodag:sensor_type: |
'OPTICAL', |
|
|
54
Collection("MO_GLOBAL_ANALYSISFORECAST_BGC_001_028")
| id: |
'MO_GLOBAL_ANALYSISFORECAST_BGC_001_028', |
| title: |
'Global Ocean Biogeochemistry Analysis and Forecast', |
| description: |
'The Operational Mercator Ocean biogeochemical global ocean analysis and forecast system at 1/4 degree is providing
10 days of 3D global ocean forecasts updated weekly. The time series is aggregated in time, in order to reach a two
full year's time series sliding window. This product includes daily and monthly mean files of biogeochemical
parameters (chlorophyll, nitrate, phosphate, silicate, dissolved oxygen, dissolved iron, primary production,
phytoplankton, PH, and surface partial pressure of carbon dioxyde) over the global ocean. The global ocean output
files are displayed with a 1/4 degree horizontal resolution with regular longitude/latitude equirectangular
projection. 50 vertical levels are ranging from 0 to 5700 meters. + NEMO version (v3.6_STABLE) + Forcings:
GLOBAL_ANALYSIS_FORECAST_PHYS_001_024 at daily frequency. + Outputs mean fields are interpolated on a standard
regular grid in NetCDF format. + Initial conditions: World Ocean Atlas 2013 for nitrate, phosphate, silicate and
dissolved oxygen, GLODAPv2 for DIC and Alkalinity, and climatological model outputs for Iron and DOC +
Quality/Accuracy/Calibration information: See the related
QuID[http://catalogue.marine.copernicus.eu/documents/QUID/CMEMS-GLO-QUID-001-028.pdf] DOI (product): https://doi.org/10.48670/moi-00015
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2021-10-01 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['CMEMS'
, 'Mercator'
, 'ocean'
, 'global'
, 'analysis'
, 'forecast'
, 'marine'
, 'biogeochemical'
, 'biogeochemistry'
], |
| license: |
'other', |
| instruments: |
[], |
| processing:level: |
'L4', |
|
|
55
Collection("MO_GLOBAL_ANALYSISFORECAST_PHY_001_024")
| id: |
'MO_GLOBAL_ANALYSISFORECAST_PHY_001_024', |
| title: |
'Global Ocean Physics Analysis and Forecast', |
| description: |
'The Operational Mercator global ocean analysis and forecast system at 1/12 degree is providing 10 days of 3D global
ocean forecasts updated daily. The time series is aggregated in time in order to reach a two full year's time series
sliding window. This product includes daily and monthly mean files of temperature, salinity, currents, sea level,
mixed layer depth and ice parameters from the top to the bottom over the global ocean. It also includes hourly mean
surface fields for sea level height, temperature and currents. The global ocean output files are displayed with a
1/12 degree horizontal resolution with regular longitude/latitude equirectangular projection. 50 vertical levels are
ranging from 0 to 5500 meters. This product also delivers a special dataset for surface current which also includes
wave and tidal drift called SMOC (Surface merged Ocean Current). DOI (product) : https://doi.org/10.48670/moi-00016
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2019-01-01 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['CMEMS'
, 'Mercator'
, 'ocean'
, 'global'
, 'analysis'
, 'forecast'
, 'marine'
, 'physics'
], |
| license: |
'other', |
| instruments: |
[], |
| processing:level: |
'L4', |
|
|
56
Collection("MO_GLOBAL_ANALYSISFORECAST_WAV_001_027")
| id: |
'MO_GLOBAL_ANALYSISFORECAST_WAV_001_027', |
| title: |
'Global Ocean Waves Analysis and Forecast', |
| description: |
'The operational global ocean analysis and forecast system of Météo-France with a resolution of 1/12 degree is
providing daily analyses and 10 days forecasts for the global ocean sea surface waves. This product includes
3-hourly instantaneous fields of integrated wave parameters from the total spectrum (significant height, period,
direction, Stokes drift,...etc), as well as the following partitions: the wind wave, the primary and secondary swell
waves. The global wave system of Météo-France is based on the wave model MFWAM which is a third generation wave
model. MFWAM uses the computing code ECWAM-IFS-38R2 with a dissipation terms developed by Ardhuin et al. (2010). The
model MFWAM was upgraded on november 2014 thanks to improvements obtained from the european research project « my wave »
(Janssen et al. 2014). The model mean bathymetry is generated by using 2-minute gridded global topography data
ETOPO2/NOAA. Native model grid is irregular with decreasing distance in the latitudinal direction close to the poles.
At the equator the distance in the latitudinal direction is more or less fixed with grid size 1/10°. The operational
model MFWAM is driven by 6-hourly analysis and 3-hourly forecasted winds from the IFS-ECMWF atmospheric system. The
wave spectrum is discretized in 24 directions and 30 frequencies starting from 0.035 Hz to 0.58 Hz. The model MFWAM
uses the assimilation of altimeters with a time step of 6 hours. The global wave system provides analysis 4 times a
day, and a forecast of 10 days at 0:00 UTC. The wave model MFWAM uses the partitioning to split the swell spectrum
in primary and secondary swells. DOI (product) : https://doi.org/10.48670/moi-00017
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2021-01-01 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['CMEMS'
, 'Mercator'
, 'ocean'
, 'global'
, 'analysis'
, 'forecast'
, 'marine'
, 'waves'
, 'surface'
], |
| license: |
'other', |
| instruments: |
[], |
| processing:level: |
'L4', |
|
|
57
Collection("MO_GLOBAL_MULTIYEAR_BGC_001_033")
| id: |
'MO_GLOBAL_MULTIYEAR_BGC_001_033', |
| title: |
'Global ocean low and mid trophic levels biomass content hindcast', |
| description: |
'The Low and Mid-Trophic Levels (LMTL) reanalysis for global ocean is produced at [https://www.cls.fr CLS] on behalf
of Global Ocean Marine Forecasting Center. It provides 2D fields of biomass content of zooplankton and six functional
groups of micronekton. It uses the LMTL component of SEAPODYM dynamical population model (http://www.seapodym.eu).
No data assimilation has been done. This product also contains forcing data: net primary production, euphotic depth,
depth of each pelagic layers zooplankton and micronekton inhabit, average temperature and currents over pelagic layers.
Forcings sources: + Ocean currents and temperature (CMEMS multiyear product) + Net Primary Production computed from
chlorophyll a, Sea Surface Temperature and Photosynthetically Active Radiation observations (chlorophyll from CMEMS
multiyear product, SST from NOAA NCEI AVHRR-only Reynolds, PAR from INTERIM) and relaxed by model outputs at high
latitudes (CMEMS biogeochemistry multiyear product)
Vertical coverage: + Epipelagic layer + Upper mesopelagic layer + Lower mesopelagic layer (max. 1000m)
DOI (product) : https://doi.org/10.48670/moi-00020
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[1998-01-01 00:00:00+00:00
, 2022-12-31 23:59:59+00:00
]
]
}
}, |
| keywords: |
['CMEMS'
, 'Mercator'
, 'ocean'
, 'global'
, 'hindcast'
, 'marine'
, 'biomass'
, 'LMTL'
], |
| license: |
'other', |
| instruments: |
[], |
| processing:level: |
'L4', |
|
|
58
Collection("MO_GLOBAL_MULTIYEAR_PHY_ENS_001_031")
| id: |
'MO_GLOBAL_MULTIYEAR_PHY_ENS_001_031', |
| title: |
'Global Ocean Ensemble Physics Reanalysis', |
| description: |
'You can find here the CMEMS Global Ocean Ensemble Reanalysis product at ¼ degree resolution: monthly means of Temperature, Salinity,
Currents and Ice variables for 75 vertical levels, starting from 1993 onward.\n \nGlobal ocean reanalyses are homogeneous 3D gridded
descriptions of the physical state of the ocean covering several decades, produced with a numerical ocean model constrained with data
assimilation of satellite and in situ observations. These reanalyses are built to be as close as possible to the observations
(i.e. realistic) and in agreement with the model physics The multi-model ensemble approach allows uncertainties or error bars in
the ocean state to be estimated.\n\nThe ensemble mean may even provide for certain regions and/or periods a more reliable estimate
than any individual reanalysis product.\n\nThe four reanalyses, used to create the ensemble, covering “altimetric era” period
(starting from 1st of January 1993) during which altimeter altimetry data observations are available:\n GLORYS2V4 from Mercator Ocean (Fr);
\n ORAS5 from ECMWF;\n GloSea5 from Met Office (UK);\n and C-GLORSv7 from CMCC (It);\n
\nThese four products provided four different time series of global ocean simulations 3D monthly estimates. All numerical products
available for users are monthly or daily mean averages describing the ocean.
\n\n**DOI (product):** \nhttps://doi.org/10.48670/moi-00024
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[1993-01-01 00:00:00+00:00
, 2022-12-31 00:00:00+00:00
]
]
}
}, |
| keywords: |
['CMEMS'
, 'Mercator'
, 'ocean'
, 'global'
, 'ensemble'
, 'multiyear'
, 'reanalysis'
, 'temperature'
, 'currents'
, 'salinity'
, 'ice'
, 'physics'
], |
| license: |
'other', |
| instruments: |
[], |
| processing:level: |
'L4', |
|
|
59
Collection("MO_GLOBAL_MULTIYEAR_WAV_001_032")
| id: |
'MO_GLOBAL_MULTIYEAR_WAV_001_032', |
| title: |
'Global Ocean Waves Reanalysis', |
| description: |
'GLOBAL_REANALYSIS_WAV_001_032 for the global wave reanalysis describing past sea states since years 1993. This product
also bears the name of WAVERYS within the GLO-HR MFC. for correspondence to other global multi-year products like GLORYS.
BIORYS. etc. The core of WAVERYS is based on the MFWAM model. a third generation wave model that calculates the wave
spectrum. i.e. the distribution of sea state energy in frequency and direction on a 1/5° irregular grid. Average wave
quantities derived from this wave spectrum, such as the SWH (significant wave height) or the average wave period, are
delivered on a regular 1/5° grid with a 3h time step. The wave spectrum is discretized into 30 frequencies obtained from
a geometric sequence of first member 0.035 Hz and a reason 7.5. WAVERYS takes into account oceanic currents from the
GLORYS12 physical ocean reanalysis and assimilates significant wave height observed from historical altimetry missions
and directional wave spectra from Sentinel 1 SAR from 2017 onwards. DOI (product): https://doi.org/10.48670/moi-00022
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[1993-01-01 00:00:00+00:00
, 2024-01-31 21:00:00+00:00
]
]
}
}, |
| keywords: |
['CMEMS'
, 'Mercator'
, 'ocean'
, 'reanalysis'
, 'forecast'
, 'marine'
, 'waves'
, 'WAVERYS'
], |
| license: |
'other', |
| instruments: |
[], |
| processing:level: |
'L4', |
|
|
60
Collection("MO_INSITU_GLO_PHY_TS_OA_MY_013_052")
| id: |
'MO_INSITU_GLO_PHY_TS_OA_MY_013_052', |
| title: |
'Global Ocean- Delayed Mode gridded CORA- In-situ Observations objective analysis in Delayed Mode', |
| description: |
'Global Ocean- Gridded objective analysis fields of temperature and salinity using profiles from the reprocessed in-situ global
product CORA (INSITU_GLO_TS_REP_OBSERVATIONS_013_001_b) using the ISAS software. Objective analysis is based on a statistical
estimation method that allows presenting a synthesis and a validation of the dataset, providing a validation source for operational
models, observing seasonal cycle and inter-annual variability.\n\n**DOI (product):** \nhttps://doi.org/10.17882/46219
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[1960-01-01 00:00:00+00:00
, 2023-12-01 00:00:00+00:00
]
]
}
}, |
| keywords: |
['CMEMS'
, 'Mercator'
, 'ocean'
, 'insitu'
, 'delayed'
, 'gridded'
, 'global'
, 'L4'
, 'analysis'
, 'temperature'
, 'salinity'
, 'CORA'
], |
| license: |
'other', |
| instruments: |
[], |
| processing:level: |
'L4', |
|
|
61
Collection("MO_INSITU_GLO_PHY_TS_OA_NRT_013_002")
| id: |
'MO_INSITU_GLO_PHY_TS_OA_NRT_013_002', |
| title: |
'Global Ocean- Real time in-situ observations objective analysis', |
| description: |
'For the Global Ocean- Gridded objective analysis fields of temperature and salinity using profiles from the in-situ near
real time database are produced monthly. Objective analysis is based on a statistical estimation method that allows presenting
a synthesis and a validation of the dataset, providing a support for localized experience (cruises), providing a validation
source for operational models, observing seasonal cycle and inter-annual variability.
\n\nDOI (product): \nhttps://doi.org/10.48670/moi-00037
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2023-01-15 00:00:00+00:00
, 2024-12-01 00:00:00+00:00
]
]
}
}, |
| keywords: |
['CMEMS'
, 'Mercator'
, 'ocean'
, 'insitu'
, 'NRT'
, 'gridded'
, 'monthly'
, 'global'
, 'L4'
, 'analysis'
], |
| license: |
'other', |
| instruments: |
[], |
| processing:level: |
'L4', |
|
|
62
Collection("MO_INSITU_GLO_PHY_UV_DISCRETE_NRT_013_048")
| id: |
'MO_INSITU_GLO_PHY_UV_DISCRETE_NRT_013_048', |
| title: |
'Global Ocean- in-situ Near real time observations of ocean currents', |
| description: |
'This product is entirely dedicated to ocean current data observed in near-real time. Current data from 3 different types
of instruments are distributed:\n The near-surface zonal and meridional velocities calculated along the trajectories of
the drifting buoys which are part of the DBCP's Global Drifter Program. These data are delivered together with wind stress
components and surface temperature. \n The near-surface zonal and meridional total velocities, and near-surface radial
velocities, measured by High Frequency radars that are part of the European High Frequency radar Network. These data are
delivered together with standard deviation of near-surface zonal and meridional raw velocities, Geometrical Dilution of
Precision (GDOP), quality flags and metadata.\n The zonal and meridional velocities, at parking depth and in surface,
calculated along the trajectories of the floats which are part of the Argo Program.\n\nDOI (product):\nhttps://doi.org/10.48670/moi-00041
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[1997-01-01 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['CMEMS'
, 'Mercator'
, 'ocean'
, 'insitu'
, 'NRT'
, 'currents'
, 'global'
, 'L2'
], |
| license: |
'other', |
| instruments: |
[], |
| processing:level: |
'L2', |
|
|
63
Collection("MO_MULTIOBS_GLO_BGC_NUTRIENTS_CARBON_PROFILES_MYNRT_015_009")
| id: |
'MO_MULTIOBS_GLO_BGC_NUTRIENTS_CARBON_PROFILES_MYNRT_015_009', |
| title: |
'Nutrient and carbon profiles vertical distribution', |
| description: |
'This product consists of vertical profiles of the concentration of nutrients (nitrates, phosphates, and silicates) and
carbonate system variables (total alkalinity, dissolved inorganic carbon, pH, and partial pressure of carbon dioxide),
computed for each Argo float equipped with an oxygen sensor.\nThe method called CANYON (Carbonate system and Nutrients
concentration from hYdrological properties and Oxygen using a Neural-network) is based on a neural network trained using
high-quality nutrient data collected over the last 30 years (GLODAPv2 database, https://www.glodap.info/). The method is
applied to each Argo float equipped with an oxygen sensor using as input the properties measured by the float (pressure,
temperature, salinity, oxygen), and its date and position.\n\nProduct Citation: Please refer to our Technical FAQ for
citing products: http://marine.copernicus.eu/faq/cite-cmems-products-cmems-credit/?idpage=169.\n\nDOI (product):
\nhttps://doi.org/10.48670/moi-00048\n\nReferences:\n\n Sauzede R., H. C. Bittig, H. Claustre, O. Pasqueron de Fommervault,
J.-P. Gattuso, L. Legendre and K. S. Johnson, 2017: Estimates of Water-Column Nutrient Concentrations and Carbonate System
Parameters in the Global Ocean: A novel Approach Based on Neural Networks. Front. Mar. Sci. 4:128.
doi: 10.3389/fmars.2017.00128.\n Bittig H. C., T. Steinhoff, H. Claustre, B. Fiedler, N. L. Williams, R. Sauzède,
A. Körtzinger and J.-P. Gattuso,2018: An Alternative to Static Climatologies: Robust Estimation of Open Ocean CO2 Variables
and Nutrient Concentrations From T, S, and O2 Data Using Bayesian Neural Networks. Front. Mar. Sci. 5:328. doi: 10.3389/fmars.2018.00328.\n
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2002-09-01 00:00:00+00:00
, 2022-08-31 00:00:00+00:00
]
]
}
}, |
| keywords: |
['CMEMS'
, 'Mercator'
, 'ocean'
, 'global'
, 'vertical'
, 'nutrients'
, 'carbon'
, 'carbonate'
, 'L3'
], |
| license: |
'other', |
| instruments: |
[], |
| processing:level: |
'L3', |
|
|
64
Collection("MO_MULTIOBS_GLO_BIO_BGC_3D_REP_015_010")
| id: |
'MO_MULTIOBS_GLO_BIO_BGC_3D_REP_015_010', |
| title: |
'Global Ocean 3D Chlorophyll-a concentration, Particulate Backscattering coefficient and Particulate Organic Carbon', |
| description: |
'This product consists of 3D fields of Particulate Organic Carbon (POC), Particulate Backscattering coefficient (bbp)
and Chlorophyll-a concentration (Chla) at depth. The reprocessed product is provided at 0.25°x0.25° horizontal resolution,
over 36 levels from the surface to 1000 m depth. A neural network method estimates both the vertical distribution of
Chla concentration and of particulate backscattering coefficient (bbp), a bio-optical proxy for POC, from merged surface
ocean color satellite measurements with hydrological properties and additional relevant drivers.
DOI (product): https://doi.org/10.48670/moi-00046 Product Citation: Please refer to our Technical FAQ for citing
products: http://marine.copernicus.eu/faq/cite-cmems-products-cmems-credit/?idpage=169.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[1998-01-07 00:00:00+00:00
, 2021-12-29 00:00:00+00:00
]
]
}
}, |
| keywords: |
['CMEMS'
, 'Mercator'
, 'ocean'
, 'global'
, 'marine'
, 'POC'
, 'organic'
, 'carbon'
, 'particulate'
, 'chlorophyll'
, 'backscattering'
, 'bbp'
, 'Chla'
], |
| license: |
'other', |
| instruments: |
[], |
| processing:level: |
'L4', |
|
|
65
Collection("MO_MULTIOBS_GLO_BIO_CARBON_SURFACE_MYNRT_015_008")
| id: |
'MO_MULTIOBS_GLO_BIO_CARBON_SURFACE_MYNRT_015_008', |
| title: |
'Global Ocean Surface Carbon', |
| description: |
'This product corresponds to a REP L4 time series of monthly global reconstructed surface ocean pCO2, air-sea fluxes of CO2,
pH, total alkalinity, dissolved inorganic carbon, saturation state with respect to calcite and aragonite, and associated
uncertainties on a 0.25° x 0.25° regular grid. The product is obtained from an ensemble-based forward feed neural network
approach mapping situ data for surface ocean fugacity (SOCAT data base, Bakker et al. 2016, https://www.socat.info/) and
sea surface salinity, temperature, sea surface height, chlorophyll a, mixed layer depth and atmospheric CO2 mole fraction.
Sea-air flux fields are computed from the air-sea gradient of pCO2 and the dependence on wind speed of Wanninkhof (2014).
Surface ocean pH on total scale, dissolved inorganic carbon, and saturation states are then computed from surface ocean pCO2
and reconstructed surface ocean alkalinity using the CO2sys speciation software.\n\nProduct Citation: Please refer to our
Technical FAQ for citing products: http://marine.copernicus.eu/faq/cite-cmems-products-cmems-credit/?idpage=169.
\n\nDOI (product):\nhttps://doi.org/10.48670/moi-00047\n\nReferences:\n\n Chau, T. T. T., Gehlen, M., and
Chevallier, F.: A seamless ensemble-based reconstruction of surface ocean pCO2 and air-sea CO2 fluxes over the global
coastal and open oceans, Biogeosciences, 19, 1087-1109, https://doi.org/10.5194/bg-19-1087-2022, 2022.\n
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[1985-01-01 00:00:00+00:00
, 2023-12-01 00:00:00+00:00
]
]
}
}, |
| keywords: |
['CMEMS'
, 'Mercator'
, 'ocean'
, 'global'
, 'surface'
, 'carbon'
, 'L4'
, 'REP'
], |
| license: |
'other', |
| instruments: |
[], |
| processing:level: |
'L4', |
|
|
66
Collection("MO_MULTIOBS_GLO_PHY_MYNRT_015_003")
| id: |
'MO_MULTIOBS_GLO_PHY_MYNRT_015_003', |
| title: |
'Global Total (COPERNICUS-GLOBCURRENT), Ekman and Geostrophic currents at the Surface and 15m', |
| description: |
'This product is a L4 REP and NRT global total velocity field at 0m and 15m together wiht its individual components
(geostrophy and Ekman) and related uncertainties. It consists of the zonal and meridional velocity at a 1h frequency and
at 1/4 degree regular grid. The total velocity fields are obtained by combining CMEMS satellite Geostrophic surface currents
and modelled Ekman currents at the surface and 15m depth (using ERA5 wind stress in REP and ERA5 in NRT). 1 hourly product,
daily and monthly means are available. This product has been initiated in the frame of CNES/CLS projects. Then it has been
consolidated during the Globcurrent project (funded by the ESA User Element Program).
\n\nProduct Citation:\nPlease refer to our Technical FAQ for citing products:
http://marine.copernicus.eu/faq/cite-cmems-products-cmems-credit/?idpage=169.
\n\nDOI (product): \nhttps://doi.org/10.48670/mds-00327\n\nReferences:\n\n Rio, M.-H., S. Mulet, and N. Picot:
Beyond GOCE for the ocean circulation estimate: Synergetic use of altimetry, gravimetry, and in situ data provides new
insight into geostrophic and Ekman currents, Geophys. Res. Lett., 41, doi:10.1002/2014GL061773, 2014.\n
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[1993-01-01 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['CMEMS'
, 'Mercator'
, 'ocean'
, 'global'
, 'REP'
, 'NRT'
, 'geostrophic'
, 'currents'
, 'GLOBCURRENT'
, 'L4'
], |
| license: |
'other', |
| instruments: |
[], |
| processing:level: |
'L4', |
|
|
67
Collection("MO_MULTIOBS_GLO_PHY_S_SURFACE_MYNRT_015_013")
| id: |
'MO_MULTIOBS_GLO_PHY_S_SURFACE_MYNRT_015_013', |
| title: |
'Multi Observation Global Ocean Sea Surface Salinity and Sea Surface Density', |
| description: |
'This product consits of daily global gap-free Level-4 (L4) analyses of the Sea Surface Salinity (SSS) and Sea Surface Density (SSD)
at 1/8° of resolution, obtained through a multivariate optimal interpolation algorithm that combines sea surface salinity images
from multiple satellite sources as NASA's Soil Moisture Active Passive (SMAP) and ESA's Soil Moisture Ocean Salinity (SMOS) satellites
with in situ salinity measurements and satellite SST information. The product was developed by the Consiglio Nazionale delle Ricerche (CNR)
and includes 4 datasets:\n cmems_obs-mob_glo_phy-sss_nrt_multi_P1D, which provides near-real-time (NRT) daily data
\n cmems_obs-mob_glo_phy-sss_nrt_multi_P1M, which provides near-real-time (NRT) monthly data\n cmems_obs-mob_glo_phy-sss_my_multi_P1D,
which provides multi-year reprocessed (REP) daily data \n cmems_obs-mob_glo_phy-sss_my_multi_P1M, which provides multi-year reprocessed (REP)
monthly data \n\nProduct citation: \nPlease refer to our Technical FAQ for citing products:
http://marine.copernicus.eu/faq/cite-cmems-products-cmems-credit/?idpage=169.\n\nDOI
(product): \nhttps://doi.org/10.48670/moi-00051\n\nReferences:\n\n Droghei, R., B. Buongiorno Nardelli, and
R. Santoleri, 2016: Combining in-situ and satellite observations to retrieve salinity and density at the ocean surface.
J. Atmos. Oceanic Technol. doi:10.1175/JTECH-D-15-0194.1.\n Buongiorno Nardelli, B., R. Droghei, and R. Santoleri,
2016: Multi-dimensional interpolation of SMOS sea surface salinity with surface temperature and in situ salinity data.
Rem. Sens. Environ., doi:10.1016/j.rse.2015.12.052.\n Droghei, R., B. Buongiorno Nardelli, and R. Santoleri,
2018: A New Global Sea Surface Salinity and Density Dataset From Multivariate Observations (1993-2016), Front. Mar. Sci., 5(March),
1-13, doi:10.3389/fmars.2018.00084.\n Sammartino, Michela, Salvatore Aronica, Rosalia Santoleri, and Bruno Buongiorno Nardelli. (2022).
Retrieving Mediterranean Sea Surface Salinity Distribution and Interannual Trends from Multi-Sensor Satellite and In Situ Data,
Remote Sensing 14, 2502: https://doi.org/10.3390/rs14102502.\n
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[1993-01-01 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['CMEMS'
, 'Mercator'
, 'ocean'
, 'global'
, 'surface'
, 'salinity'
, 'density'
, 'NRT'
, 'daily'
, 'REP'
, 'L4'
], |
| license: |
'other', |
| instruments: |
[], |
| processing:level: |
'L4', |
|
|
68
Collection("MO_MULTIOBS_GLO_PHY_TSUV_3D_MYNRT_015_012")
| id: |
'MO_MULTIOBS_GLO_PHY_TSUV_3D_MYNRT_015_012', |
| title: |
'Multi Observation Global Ocean 3D Temperature Salinity Height Geostrophic Current and MLD', |
| description: |
'You can find here the Multi Observation Global Ocean ARMOR3D L4 analysis and multi-year reprocessing. It consists of 3D Temperature,
Salinity, Heights, Geostrophic Currents and Mixed Layer Depth, available on a 1/4 degree regular grid and on 50 depth levels from
the surface down to the bottom. The product includes 4 datasets: \n dataset-armor-3d-nrt-weekly, which delivers near-real-time (NRT)
weekly data\n dataset-armor-3d-nrt-monthly, which delivers near-real-time (NRT) monthly data\n dataset-armor-3d-rep-weekly, which
delivers multi-year reprocessed (REP) weekly data \n dataset-armor-3d-rep-monthly, which delivers multi-year reprocessed (REP)
monthly data\n\nDOI (product): \nhttps://doi.org/10.48670/moi-00052\n\n\nProduct Citation: \nPlease refer to our
Technical FAQ for citing products: http://marine.copernicus.eu/faq/cite-cmems-products-cmems-credit/?idpage=169.
\n\nReferences:\n\n Guinehut S., A.-L. Dhomps, G. Larnicol and P.-Y. Le Traon, 2012: High resolution 3D temperature
and salinity fields derived from in situ and satellite observations. Ocean Sci., 8(5):845-857.\n Mulet, S., M.-H. Rio,
A. Mignot, S. Guinehut and R. Morrow, 2012: A new estimate of the global 3D geostrophic ocean circulation based on satellite
data and in-situ measurements. Deep Sea Research Part II : Topical Studies in Oceanography, 77-80(0):70-81.\n
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[1993-01-01 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['CMEMS'
, 'Mercator'
, 'ocean'
, 'global'
, 'REP'
, 'NRT'
, 'ARMOR3D'
, 'temperature'
, 'salinity'
, 'heights'
, 'Geostrophic'
, 'currents'
, 'L4'
], |
| license: |
'other', |
| instruments: |
[], |
| processing:level: |
'L4', |
|
|
69
Collection("MO_MULTIOBS_GLO_PHY_UVW_3D_MYNRT_015_007")
| id: |
'MO_MULTIOBS_GLO_PHY_UVW_3D_MYNRT_015_007', |
| title: |
'Global Observed Ocean Physics 3D Quasi-Geostrophic Currents (OMEGA3D)', |
| description: |
'You can find here the OMEGA3D observation-based quasi-geostrophic vertical and horizontal ocean currents developed by the
Consiglio Nazionale delle RIcerche. The data are provided weekly over a regular grid at 1/4° horizontal resolution, from
the surface to 1500 m depth (representative of each Wednesday). The velocities are obtained by solving a diabatic formulation
of the Omega equation, starting from ARMOR3D data (MULTIOBS_GLO_PHY_TSUV_3D_MYNRT_015_012 ) and ERA5 surface fluxes.
\n\nDOI (product): \nhttps://doi.org/10.48670/moi-00053\n\n
\n\nReferences:\n\n Buongiorno Nardelli, B. A Multi-Year Timeseries of Observation-Based 3D Horizontal and Vertical
Quasi-Geostrophic Global Ocean Currents. Earth Syst. Sci. Data 2020, No. 12, 1711–1723. https://doi.org/10.5194/essd-12-1711-2020.
', |
| extent: |
{
'spatial': {
'bbox': [[-179.87
, -82.12
, 179.88
, 89.88
]
]
}
,
'temporal': {
'interval': [[1993-01-06 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['CMEMS'
, 'Mercator'
, 'ocean'
, 'global'
, 'ARMOR3D'
, 'weekly'
, 'ERA5'
, 'quasi-geostrophic'
, 'currents'
, 'L4'
, 'OMEGA3D'
], |
| license: |
'other', |
| instruments: |
[], |
| processing:level: |
'L4', |
|
|
70
Collection("MO_OCEANCOLOUR_GLO_BGC_L3_MY_009_103")
| id: |
'MO_OCEANCOLOUR_GLO_BGC_L3_MY_009_103', |
| title: |
'Global Ocean Colour (Copernicus-GlobColour), Bio-Geo-Chemical, L3 (daily) from Satellite Observations (1997-ongoing)', |
| description: |
'For the **Global** Ocean **Satellite Observations**, ACRI-ST company (Sophia Antipolis, France) is providing **Bio-Geo-Chemical (BGC)**
products based on the **Copernicus-GlobColour** processor.\n Upstreams: SeaWiFS, MODIS, MERIS, VIIRS-SNPP & JPSS1, OLCI-S3A & S3B for
the **"multi"** products, and S3A & S3B only for the **"olci"** products.\n* Variables: Chlorophyll-a (**CHL**), Phytoplankton Functional
types and sizes (**PFT**), Suspended Matter (**SPM**), Secchi Transparency Depth (**ZSD**), Diffuse Attenuation (**KD490**), Particulate
Backscattering (**BBP**), Absorption Coef. (**CDM**) and Reflectance (**RRS**).\n\n Temporal resolutions: **daily**.\n Spatial resolutions:
**4 km** and a finer resolution based on olci **300 meters** inputs.\n* Recent products are organized in datasets called Near Real Time (**NRT**)
and long time-series (from 1997) in datasets called Multi-Years (**MY**).\n\nTo find the **Copernicus-GlobColour** products in the catalogue,
use the search keyword **"GlobColour"**.\n\n**DOI (product):** \nhttps://doi.org/10.48670/moi-00280
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[1997-09-04 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['CMEMS'
, 'Mercator'
, 'ocean'
, 'global'
, 'colour'
, 'L3'
, 'bio-geo-chemical'
, 'BGC'
, 'Copernicus-GlobColour'
, 'MY'
, 'multi-years'
], |
| license: |
'other', |
| instruments: |
[], |
| processing:level: |
'L3', |
|
|
71
Collection("MO_OCEANCOLOUR_GLO_BGC_L3_MY_009_107")
| id: |
'MO_OCEANCOLOUR_GLO_BGC_L3_MY_009_107', |
| title: |
'Global Ocean Colour Plankton and Reflectances MY L3 daily observations', |
| description: |
'For the **Global** Ocean **Satellite Observations**, Brockmann Consult (BC) is providing **Bio-Geo_Chemical (BGC)** products
based on the ESA-CCI inputs.\n* Upstreams: SeaWiFS, MODIS, MERIS, VIIRS-SNPP, OLCI-S3A & OLCI-S3B for the **""multi""** products.\n
Variables: Chlorophyll-a (**CHL**), Phytoplankton Functional types and sizes (**PFT**) and Reflectance (**RRS**).\n\n
Temporal resolutions: **daily**, **monthly**.\n* Spatial resolutions: **4 km** (multi).\n
Recent products are organized in datasets called Near Real Time (**NRT**) and long time-series (from 1997) in datasets called Multi-Years (**MY**).
\n\nTo find these products in the catalogue, use the search keyword **""ESA-CCI""**.
\n\n**DOI (product):** \nhttps://doi.org/10.48670/moi-00282
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[1997-09-04 00:00:00+00:00
, 2024-04-30 00:00:00+00:00
]
]
}
}, |
| keywords: |
['CMEMS'
, 'Mercator'
, 'ocean'
, 'global'
, 'L3'
, 'bio-geo-chemical'
, 'BGC'
, 'chlorophyll'
, 'phytoplankton'
, 'reflectance'
], |
| license: |
'other', |
| instruments: |
[], |
| processing:level: |
'L3', |
| eodag:sensor_type: |
'multi', |
|
|
72
Collection("MO_OCEANCOLOUR_GLO_BGC_L3_NRT_009_101")
| id: |
'MO_OCEANCOLOUR_GLO_BGC_L3_NRT_009_101', |
| title: |
'Global Ocean Colour (Copernicus-GlobColour), Bio-Geo-Chemical, L3 (daily) from Satellite Observations (Near Real Time)', |
| description: |
'For the **Global** Ocean **Satellite Observations**, ACRI-ST company (Sophia Antipolis, France) is providing **Bio-Geo-Chemical (BGC)**
products based on the **Copernicus-GlobColour** processor.\n* Upstreams: SeaWiFS, MODIS, MERIS, VIIRS-SNPP & JPSS1, OLCI-S3A & S3B
for the **"multi"** products, and S3A & S3B only for the **"olci"** products.\n* Variables: Chlorophyll-a (**CHL**), Phytoplankton
Functional types and sizes (**PFT**), Suspended Matter (**SPM**), Secchi Transparency Depth (**ZSD**), Diffuse Attenuation (**KD490**),
Particulate Backscattering (**BBP**), Absorption Coef. (**CDM**) and Reflectance (**RRS**).\n\n* Temporal resolutions: **daily**
\n* Spatial resolutions: **4 km** and a finer resolution based on olci **300 meters** inputs.\n* Recent products are organized in
datasets called Near Real Time (**NRT**) and long time-series (from 1997) in datasets called Multi-Years (**MY**).\n
\nTo find the **Copernicus-GlobColour** products in the catalogue, use the search keyword **"GlobColour"**.
\n\n**DOI (product):** \nhttps://doi.org/10.48670/moi-00278
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2023-04-25 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['CMEMS'
, 'Mercator'
, 'ocean'
, 'global'
, 'colour'
, 'L3'
, 'bio-geo-chemical'
, 'BGC'
, 'Copernicus-GlobColour'
, 'NRT'
], |
| license: |
'other', |
| instruments: |
[], |
| processing:level: |
'L3', |
|
|
73
Collection("MO_OCEANCOLOUR_GLO_BGC_L4_MY_009_104")
| id: |
'MO_OCEANCOLOUR_GLO_BGC_L4_MY_009_104', |
| title: |
'Global Ocean Colour (Copernicus-GlobColour), Bio-Geo-Chemical, L4 (monthly and interpolated) from Satellite Observations (1997-ongoing)', |
| description: |
'For the **Global** Ocean **Satellite Observations**, ACRI-ST company (Sophia Antipolis, France) is providing **Bio-Geo-Chemical (BGC)**
products based on the **Copernicus-GlobColour** processor.\n Upstreams: SeaWiFS, MODIS, MERIS, VIIRS-SNPP & JPSS1, OLCI-S3A & S3B for the
**""multi""** products, and S3A & S3B only for the **""olci""** products.\n Variables: Chlorophyll-a (**CHL**), Phytoplankton Functional
types and sizes (**PFT**), Primary Production (**PP**), Suspended Matter (**SPM**), Secchi Transparency Depth (**ZSD**), Diffuse Attenuation
(**KD490**), Particulate Backscattering (**BBP**), Absorption Coef. (**CDM**) and Reflectance (**RRS**).\n\n Temporal resolutions:
**monthly** plus, for some variables, **daily gap-free** based on a space-time interpolation to provide a ""cloud free"" product.\n
Spatial resolutions: **4 km** and a finer resolution based on olci **300 meters** inputs.\n Recent products are organized
in datasets called Near Real Time (**NRT**) and long time-series (from 1997) in datasets called Multi-Years (**MY**).
\n\nTo find the **Copernicus-GlobColour** products in the catalogue, use the search keyword **""GlobColour""**."
\n\n**DOI (product):** \nhttps://doi.org/10.48670/moi-00281
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[1997-09-01 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['CMEMS'
, 'Mercator'
, 'ocean'
, 'global'
, 'colour'
, 'L4'
, 'bio-geo-chemical'
, 'BGC'
, 'Copernicus-GlobColour'
, 'MY'
, 'multi-years'
, 'monthly'
, 'interpolated'
], |
| license: |
'other', |
| instruments: |
[], |
| processing:level: |
'L4', |
|
|
74
Collection("MO_OCEANCOLOUR_GLO_BGC_L4_MY_009_108")
| id: |
'MO_OCEANCOLOUR_GLO_BGC_L4_MY_009_108', |
| title: |
'Global Ocean Colour Plankton MY L4 monthly observations', |
| description: |
'For the **Global** Ocean **Satellite Observations**, Brockmann Consult (BC) is providing **Bio-Geo_Chemical (BGC)** products
based on the ESA-CCI inputs.\n* Upstreams: SeaWiFS, MODIS, MERIS, VIIRS-SNPP, OLCI-S3A & OLCI-S3B for the **""multi""** products.
\n Variables: Chlorophyll-a (**CHL**).\n\n* Temporal resolutions: **monthly**.\n* Spatial resolutions: **4 km** (multi).
\n Recent products are organized in datasets called Near Real Time (**NRT**) and long time-series (from 1997) in datasets
called Multi-Years (**MY**).\n\nTo find these products in the catalogue, use the search keyword **""ESA-CCI""**.
\n\n**DOI (product):** \nhttps://doi.org/10.48670/moi-00283
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[1997-09-01 00:00:00+00:00
, 2024-04-01 00:00:00+00:00
]
]
}
}, |
| keywords: |
['CMEMS'
, 'Mercator'
, 'ocean'
, 'global'
, 'colour'
, 'L4'
, 'bio-geo-chemical'
, 'BGC'
, 'chlorophyll'
, 'MY'
, 'multi-years'
, 'monthly'
], |
| license: |
'other', |
| instruments: |
[], |
| processing:level: |
'L4', |
| eodag:sensor_type: |
'multi', |
|
|
75
Collection("MO_OCEANCOLOUR_GLO_BGC_L4_NRT_009_102")
| id: |
'MO_OCEANCOLOUR_GLO_BGC_L4_NRT_009_102', |
| title: |
'Global Ocean Colour (Copernicus-GlobColour), Bio-Geo-Chemical, L4 (monthly and interpolated) from Satellite Observations (Near Real Time)', |
| description: |
'For the **Global** Ocean **Satellite Observations**, ACRI-ST company (Sophia Antipolis, France) is providing **Bio-Geo-Chemical (BGC)**
products based on the **Copernicus-GlobColour** processor.\n* Upstreams: SeaWiFS, MODIS, MERIS, VIIRS-SNPP & JPSS1, OLCI-S3A & S3B for the
**"multi"** products, and S3A & S3B only for the **"olci"** products.\n* Variables: Chlorophyll-a (**CHL**), Phytoplankton Functional
types and sizes (**PFT**), Primary Production (**PP**), Suspended Matter (**SPM**), Secchi Transparency Depth (**ZSD**), Diffuse
Attenuation (**KD490**), Particulate Backscattering (**BBP**), Absorption Coef. (**CDM**) and Reflectance (**RRS**).\n
\n* Temporal resolutions: **monthly** plus, for some variables, **daily gap-free** based on a space-time interpolation to provide a
"cloud free" product.\n* Spatial resolutions: **4 km** and a finer resolution based on olci **300 meters** inputs.
\n* Recent products are organized in datasets called Near Real Time (**NRT**) and long time-series (from 1997) in datasets
called Multi-Years (**MY**).\n\nTo find the **Copernicus-GlobColour** products in the catalogue, use the search keyword
**"GlobColour"**.\n\n**DOI (product):** \nhttps://doi.org/10.48670/moi-00279
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2023-04-01 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['CMEMS'
, 'Mercator'
, 'ocean'
, 'global'
, 'colour'
, 'L4'
, 'bio-geo-chemical'
, 'BGC'
, 'Copernicus-GlobColour'
, 'NRT'
, 'monthly'
, 'interpolated'
], |
| license: |
'other', |
| instruments: |
[], |
| processing:level: |
'L4', |
|
|
76
Collection("MO_SEAICE_GLO_SEAICE_L4_NRT_OBSERVATIONS_011_001")
| id: |
'MO_SEAICE_GLO_SEAICE_L4_NRT_OBSERVATIONS_011_001', |
| title: |
'Global Ocean - Arctic and Antarctic - Sea Ice Concentration, Edge, Type and Drift (OSI-SAF)', |
| description: |
'For the Global - Arctic and Antarctic - Ocean. The OSI SAF delivers three global sea ice products in operational mode:
sea ice concentration, sea ice edge, sea ice type (OSI-401 OSI-402 and OSI-403). These products are delivered daily at
10km resolution in a polar stereographic projection covering the Northern Hemisphere and the Southern Hemisphere. It is
the Sea Ice operational nominal product for the Global Ocean. In addition, a sea ice drift product is delivered at 60km
resolution in a polar stereographic projection covering the Northern and Southern Hemispheres. The sea ice motion vectors
have a time-span of 2 days.\n\nDOI (product): \nhttps://doi.org/10.48670/moi-00134
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2019-05-04 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['CMEMS'
, 'Mercator'
, 'ocean'
, 'global'
, 'ice'
, 'arctic'
, 'antarctic'
, 'concentration'
, 'edge'
, 'type'
, 'L4'
], |
| license: |
'other', |
| instruments: |
[], |
| processing:level: |
'L4', |
|
|
77
Collection("MO_SEAICE_GLO_SEAICE_L4_NRT_OBSERVATIONS_011_006")
| id: |
'MO_SEAICE_GLO_SEAICE_L4_NRT_OBSERVATIONS_011_006', |
| title: |
'Global Ocean - High Resolution SAR Sea Ice Drift', |
| description: |
'DTU Space produces polar covering Near Real Time gridded ice displacement fields obtained by MCC processing of Sentinel-1 SAR,
Envisat ASAR WSM swath data or RADARSAT ScanSAR Wide mode data . The nominal temporal span between processed swaths is 24hours,
the nominal product grid resolution is a 10km.\n\nDOI (product): \nhttps://doi.org/10.48670/moi-00135
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2019-05-04 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['CMEMS'
, 'Mercator'
, 'ocean'
, 'global'
, 'NRT'
, 'gridded'
, 'MCC'
, 'DTU'
, 'displacement'
, 'L4'
], |
| license: |
'other', |
| instruments: |
[], |
| processing:level: |
'L4', |
|
|
78
Collection("MO_SEAICE_GLO_SEAICE_L4_REP_OBSERVATIONS_011_009")
| id: |
'MO_SEAICE_GLO_SEAICE_L4_REP_OBSERVATIONS_011_009', |
| title: |
'Global Ocean Sea Ice Concentration Time Series REPROCESSED (OSI-SAF)', |
| description: |
'The CDR and ICDR sea ice concentration dataset of the EUMETSAT OSI SAF (OSI-450-a and OSI-430-a), covering the period from
October 1978 to present, with 16 days delay. It used passive microwave data from SMMR, SSM/I and SSMIS. Sea ice concentration
is computed from atmospherically corrected PMW brightness temperatures, using a combination of state-of-the-art algorithms and
dynamic tie points. It includes error bars for each grid cell (uncertainties). This version 3.0 of the CDR (OSI-450-a, 1978-2020)
and ICDR (OSI-430-a, 2021-present with 16 days latency) was released in November 2022
\n\nDOI (product): \nhttps://doi.org/10.48670/moi-00136\n
\nReferences:\n\n [http://osisaf.met.no/docs/osisaf_cdop2_ss2_pum_sea-ice-conc-reproc_v2p2.pdf]\n
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[1978-10-25 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['CMEMS'
, 'Mercator'
, 'ocean'
, 'global'
, 'ice'
, 'concentration'
, 'CDR'
, 'ICDR'
, 'REP'
, 'reprocessed'
, 'L4'
], |
| license: |
'other', |
| instruments: |
[], |
| processing:level: |
'L4', |
|
|
79
Collection("MO_SEALEVEL_GLO_PHY_L4_NRT_008_046")
| id: |
'MO_SEALEVEL_GLO_PHY_L4_NRT_008_046', |
| title: |
'GLOBAL OCEAN GRIDDED L4 SEA SURFACE HEIGHTS AND DERIVED VARIABLES NRT', |
| description: |
'Altimeter satellite gridded Sea Level Anomalies (SLA) computed with respect to a twenty-year [1993, 2012] mean. The SLA is
estimated by Optimal Interpolation, merging the L3 along-track measurement from the different altimeter missions available.
Part of the processing is fitted to the Global Ocean. (see QUID document or http://duacs.cls.fr [](http://duacs.cls.fr) pages
for processing details). The product gives additional variables (i.e. Absolute Dynamic Topography and geostrophic currents
(absolute and anomalies)). It serves in near-real time applications.\nThis product is processed by the DUACS multimission
altimeter data processing system. \n\nDOI (product): \nhttps://doi.org/10.48670/moi-00149
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2022-01-01 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['CMEMS'
, 'Mercator'
, 'ocean'
, 'global'
, 'gridded'
, 'surface'
, 'heights'
, 'SLA'
, 'NRT'
, 'L4'
], |
| license: |
'other', |
| instruments: |
[], |
| processing:level: |
'L4', |
|
|
80
Collection("MO_SEALEVEL_GLO_PHY_MDT_008_063")
| id: |
'MO_SEALEVEL_GLO_PHY_MDT_008_063', |
| title: |
'GLOBAL OCEAN MEAN DYNAMIC TOPOGRAPHY', |
| description: |
'Mean Dynamic Topography that combines the global CNES-CLS-2022 MDT, the Black Sea CMEMS2020 MDT and the Med Sea CMEMS2020 MDT.
It is an estimate of the mean over the 1993-2012 period of the sea surface height above geoid. This is consistent with the
reference time period also used in the DUACS products\n\nDOI (product): \nhttps://doi.org/10.48670/moi-00150
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[1993-01-06 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['CMEMS'
, 'Mercator'
, 'ocean'
, 'global'
, 'sealevel'
, 'topography'
, 'surface'
, 'height'
, 'L4'
], |
| license: |
'other', |
| instruments: |
[], |
| processing:level: |
'L4', |
|
|
81
Collection("MO_SST_GLO_SST_L3S_NRT_OBSERVATIONS_010_010")
| id: |
'MO_SST_GLO_SST_L3S_NRT_OBSERVATIONS_010_010', |
| title: |
'ODYSSEA Global Ocean - Sea Surface Temperature Multi-sensor L3 Observations', |
| description: |
'For the Global Ocean- Sea Surface Temperature L3 Observations . This product provides daily foundation sea surface temperature
from multiple satellite sources. The data are intercalibrated. This product consists in a fusion of sea surface temperature
observations from multiple satellite sensors, daily, over a 0.1° resolution global grid. It includes observations by polar
orbiting (NOAA-18 & NOAAA-19/AVHRR, METOP-A/AVHRR, ENVISAT/AATSR, AQUA/AMSRE, TRMM/TMI) and geostationary (MSG/SEVIRI, GOES-11)
satellites . The observations of each sensor are intercalibrated prior to merging using a bias correction based on a multi-sensor
median reference correcting the large-scale cross-sensor biases.3 more datasets are available that only contain "per sensor type" data:
Polar InfraRed (PIR), Polar MicroWave (PMW), Geostationary InfraRed (GIR)\n\nDOI (product): \nhttps://doi.org/10.48670/moi-00164
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2020-12-31 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['CMEMS'
, 'Mercator'
, 'ocean'
, 'global'
, 'surface'
, 'temperature'
, 'L3'
, 'PIR'
, 'PMW'
, 'GIR'
], |
| license: |
'other', |
| instruments: |
[], |
| processing:level: |
'L3', |
|
|
82
Collection("MO_SST_GLO_SST_L4_NRT_OBSERVATIONS_010_001")
| id: |
'MO_SST_GLO_SST_L4_NRT_OBSERVATIONS_010_001', |
| title: |
'Global Ocean OSTIA Sea Surface Temperature and Sea Ice Analysis', |
| description: |
'For the Global Ocean- the OSTIA global foundation Sea Surface Temperature product provides daily gap-free maps of: Foundation
Sea Surface Temperature at 0.05° x 0.05° horizontal grid resolution, using in-situ and satellite data from both infrared and
microwave radiometers. \n\nThe Operational Sea Surface Temperature and Ice Analysis (OSTIA) system is run by the UK's Met
Office and delivered by IFREMER PU. OSTIA uses satellite data provided by the GHRSST project together with in-situ observations
to determine the sea surface temperature.\nA high resolution (1/20° - approx. 6 km) daily analysis of sea surface temperature (SST)
is produced for the global ocean and some lakes.\n\nDOI (product): \nhttps://doi.org/10.48670/moi-00165\n\nReferences:
\n\n Good, S.; Fiedler, E.; Mao, C.; Martin, M.J.; Maycock, A.; Reid, R.; Roberts-Jones, J.; Searle, T.; Waters, J.; While, J.;
Worsfold, M. The Current Configuration of the OSTIA System for Operational Production of Foundation Sea Surface Temperature and
Ice Concentration Analyses. Remote Sens. 2020, 12, 720. doi: 10.3390/rs12040720\n Donlon, C.J., Martin, M., Stark, J., Roberts-Jones,
J., Fiedler, E., and Wimmer, W., 2012, The Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA) system. Remote Sensing
of the Environment. doi: 10.1016/j.rse.2010.10.017 2011.\n John D. Stark, Craig J. Donlon, Matthew J. Martin and Michael E. McCulloch,
2007, OSTIA : An operational, high resolution, real time, global sea surface temperature analysis system., Oceans 07 IEEE Aberdeen,
conference proceedings. Marine challenges: coastline to deep sea. Aberdeen, Scotland.IEEE.\n
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2007-01-01 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['CMEMS'
, 'Mercator'
, 'ocean'
, 'global'
, 'surface'
, 'temperature'
, 'L4'
, 'OSTIA'
], |
| license: |
'other', |
| instruments: |
[], |
| processing:level: |
'L4', |
|
|
83
Collection("MO_SST_GLO_SST_L4_REP_OBSERVATIONS_010_011")
| id: |
'MO_SST_GLO_SST_L4_REP_OBSERVATIONS_010_011', |
| title: |
'Global Ocean OSTIA Sea Surface Temperature and Sea Ice Reprocessed', |
| description: |
'The OSTIA (Good et al., 2020) global sea surface temperature reprocessed product provides daily gap-free maps of foundation
sea surface temperature and ice concentration (referred to as an L4 product) at 0.05deg.x 0.05deg. horizontal grid resolution,
using in-situ and satellite data. This product provides the foundation Sea Surface Temperature, which is the temperature free
of diurnal variability.\n\nDOI (product): \nhttps://doi.org/10.48670/moi-00168\n
\nReferences:\n\n Good, S.; Fiedler, E.; Mao, C.; Martin, M.J.; Maycock, A.; Reid, R.; Roberts-Jones, J.; Searle, T.;
Waters, J.; While, J.; Worsfold, M. The Current Configuration of the OSTIA System for Operational Production of Foundation
Sea Surface Temperature and Ice Concentration Analyses. Remote Sens. 2020, 12, 720, doi:10.3390/rs12040720\n
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[1981-10-01 00:00:00+00:00
, 2022-05-31 00:00:00+00:00
]
]
}
}, |
| keywords: |
['CMEMS'
, 'Mercator'
, 'ocean'
, 'global'
, 'surface'
, 'temperature'
, 'concentration'
, 'L4'
, 'OSTIA'
, 'reprocessed'
, 'REP'
], |
| license: |
'other', |
| instruments: |
[], |
| processing:level: |
'L4', |
|
|
84
Collection("MO_SST_GLO_SST_L4_REP_OBSERVATIONS_010_024")
| id: |
'MO_SST_GLO_SST_L4_REP_OBSERVATIONS_010_024', |
| title: |
'ESA SST CCI and C3S reprocessed sea surface temperature analyses', |
| description: |
'The ESA SST CCI and C3S global Sea Surface Temperature Reprocessed product provides gap-free maps of daily average SST at 20 cm
depth at 0.05deg. x 0.05deg. horizontal grid resolution, using satellite data from the (A)ATSRs, SLSTR and the AVHRR series of
sensors (Merchant et al., 2019). The ESA SST CCI and C3S level 4 analyses were produced by running the Operational Sea Surface
Temperature and Sea Ice Analysis (OSTIA) system (Good et al., 2020) to provide a high resolution (1/20deg. - approx. 5km grid resolution)
daily analysis of the daily average sea surface temperature (SST) at 20 cm depth for the global ocean. Only (A)ATSR, SLSTR and AVHRR
satellite data processed by the ESA SST CCI and C3S projects were used, giving a stable product. It also uses reprocessed sea-ice
concentration data from the EUMETSAT OSI-SAF (OSI-450 and OSI-430; Lavergne et al., 2019).
\n\nDOI (product): \nhttps://doi.org/10.48670/moi-00169\n\nReferences:\n\n Good, S., Fiedler, E., Mao, C., Martin,
M.J., Maycock, A., Reid, R., Roberts-Jones, J., Searle, T., Waters, J., While, J., Worsfold, M. The Current Configuration of the
OSTIA System for Operational Production of Foundation Sea Surface Temperature and Ice Concentration Analyses. Remote Sens.
2020, 12, 720, doi:10.3390/rs12040720.\n Lavergne, T., Sørensen, A. M., Kern, S., Tonboe, R., Notz, D., Aaboe, S., Bell, L., Dybkjær,
G., Eastwood, S., Gabarro, C., Heygster, G., Killie, M. A., Brandt Kreiner, M., Lavelle, J., Saldo, R., Sandven, S., and Pedersen,
L. T.: Version 2 of the EUMETSAT OSI SAF and ESA CCI sea-ice concentration climate data records, The Cryosphere, 13, 49-78,
doi:10.5194/tc-13-49-2019, 2019.\n Merchant, C.J., Embury, O., Bulgin, C.E. et al. Satellite-based time-series of sea-surface
temperature since 1981 for climate applications. Sci Data 6, 223 (2019) doi:10.1038/s41597-019-0236-x.\n
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[1981-09-01 00:00:00+00:00
, 2022-10-31 00:00:00+00:00
]
]
}
}, |
| keywords: |
['CMEMS'
, 'Mercator'
, 'ocean'
, 'global'
, 'surface'
, 'temperature'
, 'ESA'
, 'SST'
, 'CCI'
, 'C3S'
, 'L4'
, 'reprocessed'
, 'REP'
], |
| license: |
'other', |
| instruments: |
[], |
| processing:level: |
'L4', |
|
|
85
Collection("MO_WAVE_GLO_PHY_SPC_FWK_L3_NRT_014_002")
| id: |
'MO_WAVE_GLO_PHY_SPC_FWK_L3_NRT_014_002', |
| title: |
'Global Ocean L 3 Spectral Parameters From Nrt Satellite Measurements', |
| description: |
'Near-Real-Time mono-mission satellite-based integral parameters derived from the directional wave spectra. Using linear
propagation wave model, only wave observations that can be back-propagated to wave converging regions are considered.
The dataset parameters includes partition significant wave height, partition peak period and partition peak or principal
direction given along swell propagation path in space and time at a 3-hour timestep, from source to land. Validity flags
are also included for each parameter and indicates the valid time steps along propagation (eg. no propagation for significant
wave height close to the storm source or any integral parameter when reaching the land). The integral parameters at observation
point are also available together with a quality flag based on the consistency between each propagated observation and the overall
swell field.This product is processed by the WAVE-TAC multi-mission SAR data processing system. It serves in near-real time
the main operational oceanography and climate forecasting centers in Europe and worldwide. It processes near-real-time data
from the following SAR missions: Sentinel-1A and Sentinel-1B.One file is produced for each mission and is available in two
formats: one gathering in one netcdf file all observations related to the same swell field, and for another all observations
available in a 3-hour time range, and for both formats, propagated information from source to land.
\n\nDOI (product): \nhttps://doi.org/10.48670/moi-00178
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2018-04-22 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['CMEMS'
, 'Mercator'
, 'ocean'
, 'global'
, 'NRT'
, 'wave'
, 'L3'
, 'WAVE-TAC'
, 'SAR'
, 'spectral'
, 'mono-mission'
], |
| license: |
'other', |
| instruments: |
[], |
| processing:level: |
'L3', |
|
|
86
Collection("MO_WAVE_GLO_PHY_SWH_L3_NRT_014_001")
| id: |
'MO_WAVE_GLO_PHY_SWH_L3_NRT_014_001', |
| title: |
'GLOBAL OCEAN L3 SIGNIFICANT WAVE HEIGHT FROM NRT SATELLITE MEASUREMENTS', |
| description: |
'Near-Real-Time mono-mission satellite-based along-track significant wave height. Only valid data are included, based on a
rigorous editing combining various criteria such as quality flags (surface flag, presence of ice) and thresholds on parameter
values. Such thresholds are applied on parameters linked to significant wave height determination from retracking (e.g. SWH,
sigma0, range, off nadir angle…). All the missions are homogenized with respect to a reference mission (Jason-3 until April 2022,
Sentinel-6A afterwards) and calibrated on in-situ buoy measurements. Finally, an along-track filter is applied to reduce the
measurement noise.\n\nAs a support of information to the significant wave height, wind speed measured by the altimeters is also
processed and included in the files. Wind speed values are provided by upstream products (L2) for each mission and are based on
different algorithms. Only valid data are included and all the missions are homogenized with respect to the reference mission.
\n\nThis product is processed by the WAVE-TAC multi-mission altimeter data processing system. It serves in near-real time the
main operational oceanography and climate forecasting centers in Europe and worldwide. It processes operational data (OGDR and NRT,
produced in near-real-time) from the following altimeter missions: Sentinel-6A, Jason-3, Sentinel-3A, Sentinel-3B, Cryosat-2,
SARAL/AltiKa, CFOSAT ; and interim data (IGDR, 1 to 2 days delay) from Hai Yang-2B mission.\n\nOne file containing valid SWH
is produced for each mission and for a 3-hour time window. It contains the filtered SWH (VAVH), the unfiltered SWH (VAVH_UNFILTERED)
and the wind speed (wind_speed).\n\nDOI (product): \nhttps://doi.org/10.48670/moi-00179
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2021-01-01 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['CMEMS'
, 'Mercator'
, 'ocean'
, 'global'
, 'NRT'
, 'wave'
, 'height'
, 'L3'
, 'wind'
, 'speed'
, 'WAVE-TAC'
, 'mono-mission'
], |
| license: |
'other', |
| instruments: |
[], |
| processing:level: |
'L3', |
|
|
87
Collection("MO_WAVE_GLO_PHY_SWH_L4_NRT_014_003")
| id: |
'MO_WAVE_GLO_PHY_SWH_L4_NRT_014_003', |
| title: |
'GLOBAL OCEAN L4 SIGNIFICANT WAVE HEIGHT FROM NRT SATELLITE MEASUREMENTS', |
| description: |
'Near-Real-Time gridded multi-mission merged satellite significant wave height. Only valid data are included. This product
is processed in Near-Real-Time by the WAVE-TAC multi-mission altimeter data processing system and is based on CMEMS level-3
SWH datasets (see the product WAVE_GLO_WAV_L3_SWH_NRT_OBSERVATIONS_014_001).\nIt merges along-track SWH data from the following
missions: Jason-3, Sentinel-3A, Sentinel-3B, SARAL/AltiKa, Cryosat-2, CFOSAT and HaiYang-2B. The resulting gridded product has
a 2° horizontal resolution and is produced daily. Different SWH fields are produced: VAVH_DAILY fields are daily statistics
computed from all available level 3 along-track measurements from 00 UTC until 23:59 UTC ; VAVH_INST field provides an estimate
of the instantaneous wave field at 12:00UTC (noon), using all available Level 3 along-track measurements and accounting for
their spatial and temporal proximity.\n\nDOI (product): \nhttps://doi.org/10.48670/moi-00180
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2020-01-01 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['CMEMS'
, 'Mercator'
, 'ocean'
, 'global'
, 'NRT'
, 'wave'
, 'height'
, 'L4'
, 'gridded'
, 'WAVE-TAC'
, 'multi-mission'
], |
| license: |
'other', |
| instruments: |
[], |
| processing:level: |
'L4', |
|
|
88
Collection("MO_WIND_GLO_PHY_CLIMATE_L4_MY_012_003")
| id: |
'MO_WIND_GLO_PHY_CLIMATE_L4_MY_012_003', |
| title: |
'Global Ocean Monthly Mean Sea Surface Wind and Stress from Scatterometer and Model', |
| description: |
'For the Global Ocean - The product contains monthly Level-4 sea surface wind and stress fields at 0.25 degrees horizontal
spatial resolution. The monthly averaged wind and stress fields are based on monthly average ECMWF ERA5 reanalysis fields,
corrected for persistent biases using all available Level-3 scatterometer observations from the Metop-A, Metop-B and Metop-C ASCAT,
QuikSCAT SeaWinds, ERS-1 and ERS-2 SCAT satellite instruments. The product provides monthly mean stress-equivalent wind and
stress variables as well as their standard deviation. The number of observations used to calculate the monthly averages are
included in the product.\n\nDOI (product): \nhttps://doi.org/10.48670/moi-00181
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[1999-08-01 00:00:00+00:00
, 2024-01-01 00:00:00+00:00
]
]
}
}, |
| keywords: |
['CMEMS'
, 'Mercator'
, 'ocean'
, 'global'
, 'L4'
, 'surface'
, 'wind'
, 'stress'
, 'monthly'
, 'Scatterometer'
], |
| license: |
'other', |
| instruments: |
[], |
| processing:level: |
'L4', |
|
|
89
Collection("MO_WIND_GLO_PHY_L3_MY_012_005")
| id: |
'MO_WIND_GLO_PHY_L3_MY_012_005', |
| title: |
'Global Ocean Daily Gridded Reprocessed L3 Sea Surface Winds from Scatterometer', |
| description: |
'For the Global Ocean - The product contains daily L3 gridded sea surface wind observations from available scatterometers
with resolutions corresponding to the L2 swath products:\n0.5 degrees grid for the 50 km scatterometer L2 inputs,
\n0.25 degrees grid based on 25 km scatterometer swath observations,\nand 0.125 degrees based on 12.5 km scatterometer
swath observations, i.e., from the coastal products. Data from ascending and descending passes are gridded separately.
\n\nThe product provides stress-equivalent wind and stress variables as well as their divergence and curl. The MY L3 products
follow the availability of the reprocessed EUMETSAT OSI SAF L2 products and are available for: The ASCAT scatterometer
on MetOp-A and Metop-B at 0.125 and 0.25 degrees; The Seawinds scatterometer on QuikSCAT at 0.25 and 0.5 degrees; The AMI
scatterometer on ERS-1 and ERS-2 at 0.25 degrees; The OSCAT scatterometer on Oceansat-2 at 0.25 and 0.5 degrees;
\n\nDOI (product): \nhttps://doi.org/10.48670/moi-00183
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[1991-08-01 00:00:00+00:00
, 2023-12-31 00:00:00+00:00
]
]
}
}, |
| keywords: |
['CMEMS'
, 'Mercator'
, 'ocean'
, 'global'
, 'L3'
, 'surface'
, 'wind'
, 'daily'
, 'gridded'
, 'reprocessed'
, 'REP'
, 'Scatterometer'
], |
| license: |
'other', |
| instruments: |
[], |
| processing:level: |
'L3', |
|
|
90
Collection("MO_WIND_GLO_PHY_L3_NRT_012_002")
| id: |
'MO_WIND_GLO_PHY_L3_NRT_012_002', |
| title: |
'Global Ocean Daily Gridded Sea Surface Winds from Scatterometer', |
| description: |
'For the Global Ocean - The product contains daily L3 gridded sea surface wind observations from available scatterometers
with resolutions corresponding to the L2 swath products:\n\n0.5 degrees grid for the 50 km scatterometer L2 inputs,
\n0.25 degrees grid based on 25 km scatterometer swath observations,\nand 0.125 degrees based on 12.5 km scatterometer
swath observations, i.e., from the coastal products.\n\nData from ascending and descending passes are gridded separately.
\nThe product provides stress-equivalent wind and stress variables as well as their divergence and curl. The NRT L3 products
follow the NRT availability of the EUMETSAT OSI SAF L2 products and are available for:\nThe ASCAT scatterometers on Metop-A
(discontinued on 15/11/2021), Metop-B and Metop-C at 0.125 and 0.25 degrees;\nThe OSCAT scatterometer on Scatsat-1 at 0.25
and 0.5 degrees (discontinued on 28/2/2021); \nThe HSCAT scatterometer on HY-2B, HY-2C and HY-2D at 0.25 and 0.5 degrees
\n\nDOI (product): \nhttps://doi.org/10.48670/moi-00182
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2016-01-01 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['CMEMS'
, 'Mercator'
, 'ocean'
, 'global'
, 'L3'
, 'surface'
, 'wind'
, 'daily'
, 'gridded'
, 'NRT'
, 'Scatterometer'
], |
| license: |
'other', |
| instruments: |
[], |
| processing:level: |
'L3', |
|
|
91
Collection("MO_WIND_GLO_PHY_L4_MY_012_006")
| id: |
'MO_WIND_GLO_PHY_L4_MY_012_006', |
| title: |
'Global Ocean Hourly Reprocessed Sea Surface Wind and Stress from Scatterometer and Model', |
| description: |
'For the Global Ocean - The product contains hourly Level-4 sea surface wind and stress fields at 0.125 and 0.25 degrees horizontal
spatial resolution. Scatterometer observations and their collocated European Centre for Medium-Range Weather Forecasts (ECMWF) ERA5
reanalysis model variables are used to calculate temporally-averaged difference fields. These fields are used to correct for
persistent biases in hourly ECMWF ERA5 model fields. Bias corrections are based on scatterometer observations from Metop-A, Metop-B,
Metop-C ASCAT (0.125 degrees), QuikSCAT SeaWinds, ERS-1 and ERS-2 SCAT (0.25 degrees). The product provides stress-equivalent wind
and stress variables as well as their divergence and curl. The applied bias corrections, the standard deviation of the differences
(for wind and stress fields) and difference of variances (for divergence and curl fields) are included in the product.
\n\nDOI (product): \nhttps://doi.org/10.48670/moi-00185
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[1994-06-01 00:00:00+00:00
, 2024-01-21 23:00:00+00:00
]
]
}
}, |
| keywords: |
['CMEMS'
, 'Mercator'
, 'ocean'
, 'global'
, 'L4'
, 'surface'
, 'wind'
, 'stress'
, 'hourly'
, 'REP'
, 'reprocessed'
, 'Scatterometer'
, 'Metop'
, 'QuikSCAT'
, 'ERS'
], |
| license: |
'other', |
| instruments: |
[], |
| processing:level: |
'L4', |
|
|
92
Collection("MO_WIND_GLO_PHY_L4_NRT_012_004")
| id: |
'MO_WIND_GLO_PHY_L4_NRT_012_004', |
| title: |
'Global Ocean Hourly Sea Surface Wind and Stress from Scatterometer and Model', |
| description: |
'For the Global Ocean - The product contains hourly Level-4 sea surface wind and stress fields at 0.125 degrees horizontal spatial
resolution. Scatterometer observations for Metop-B and Metop-C ASCAT and their collocated European Centre for Medium-Range
Weather Forecasts (ECMWF) operational model variables are used to calculate temporally-averaged difference fields. These fields
are used to correct for persistent biases in hourly ECMWF operational model fields. The product provides stress-equivalent wind
and stress variables as well as their divergence and curl. The applied bias corrections, the standard deviation of the differences
(for wind and stress fields) and difference of variances (for divergence and curl fields) are included in the product.
\n\nDOI (product): \nhttps://doi.org/10.48670/moi-00305
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2020-07-01 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['CMEMS'
, 'Mercator'
, 'ocean'
, 'global'
, 'L4'
, 'surface'
, 'wind'
, 'stress'
, 'hourly'
, 'NRT'
, 'Scatterometer'
, 'Metop'
], |
| license: |
'other', |
| instruments: |
[], |
| processing:level: |
'L4', |
|
|
93
Collection("MSG_AMVR02")
| id: |
'MSG_AMVR02', |
| title: |
'Atmospheric Motion Vectors Climate Data Record Release 2 - MFG and MSG - 0 degree', |
| description: |
'This is the second release of the reprocessed Meteosat First Generation (MFG) and Meteosat Second Generation (MSG) Atmospheric Motion Vectors (AMV)
Thematic Climate Data Record (TCDR). It contains AMV at all heights below the tropopause, derived from images in 2 channels
(Water Vapour 6.2, Infrared 10.8) of the instrument MVIRI on board MFG and SEVIRI on board MSG. Vectors are retrieved by tracking the motion
of clouds and other atmospheric constituents such as water vapour patterns. The height assignment of the AMVs is calculated using the
Cross-Correlation Contribution (CCC) function to determine the height using the pixels that contribute the most to the vectors. The final vector
is estimated averaging the speed and height over 4 consecutive images. A quality indicator is derived for each vector to assess the reliability
of the retrieval. Products are stored in netCDF4 format and generated from Meteosat-2 to Meteosat-11 satellites, covering the period from
September 1981 to August 2019. This is a Thematic Climate Data Record (TCDR).
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[1981-09-03 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['WIND'
, 'CLIMATE'
, 'ATMOSPHERE'
, 'OBSERVATION'
, 'THEMATIC'
, 'OPTICAL'
, 'MXGAMV000200'
, 'AMVR20000'
, 'L2'
], |
| license: |
'other', |
| constellation: |
'MSG,MFG', |
| instruments: |
['SEVIRI'
, 'MVIRI'
], |
| platform: |
'MSG,MFG', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'OPTICAL', |
|
|
94
Collection("MSG_CLM")
| id: |
'MSG_CLM', |
| title: |
'Cloud Mask - MSG - 0 degree', |
| description: |
'The Cloud Mask product describes the scene type (either 'clear' or 'cloudy') on a pixel level. Each pixel is classified
as one of the following four types: clear sky over water, clear sky over land, cloud, or not processed (off Earth disc).
Applications & Uses: The main use is in support of Nowcasting applications, where it frequently serves as a basis for other
cloud products, and the remote sensing of continental and ocean surfaces.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2020-09-01 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['MSG'
, 'SEVIRI'
, 'OPTICAL'
, 'WEATHER'
, 'CLOUDS'
, 'ATMOSPHERE'
, 'VISUALISATION'
, 'L2'
, 'MSGCLMK'
, 'CLM'
], |
| license: |
'other', |
| constellation: |
'MSG', |
| instruments: |
['SEVIRI'
], |
| platform: |
'MSG', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'OPTICAL', |
|
|
95
Collection("MSG_CLM_IODC")
| id: |
'MSG_CLM_IODC', |
| title: |
'Cloud Mask - MSG - Indian Ocean', |
| description: |
'The Cloud Mask product describes the scene type (either 'clear' or 'cloudy') on a pixel level. Each pixel is classified
as one of the following four types: clear sky over water, clear sky over land, cloud, or not processed (off Earth disc).
Applications & Uses: The main use is in support of Nowcasting applications, where it frequently serves as a basis for other
cloud products, and the remote sensing of continental and ocean surfaces.
From 1 June 2022, Meteosat-9 at 45.5° E is the prime satellite for the IODC service, replacing Meteosat-8 (located at 41.5° E while in operation).
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2017-02-01 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['MSG'
, 'SEVIRI'
, 'OPTICAL'
, 'WEATHER'
, 'CLOUDS'
, 'ATMOSPHERE'
, 'ATMOSPHERIC'
, 'COMPOSITION'
, 'VISUALISATION'
, 'L2'
, 'MSGCLMK'
, 'CLM'
], |
| license: |
'other', |
| constellation: |
'MSG', |
| instruments: |
['SEVIRI'
], |
| platform: |
'MSG', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'OPTICAL', |
|
|
96
Collection("MSG_CTH")
| id: |
'MSG_CTH', |
| title: |
'Cloud Top Height - MSG - 0 degree', |
| description: |
'The product indicates the height of highest cloud. Based on a subset of the information derived during Scenes and Cloud Analysis,
but also makes use of other external meteorological data. Applications and Users: Aviation meteorology.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2020-09-01 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['MSG'
, 'SEVIRI'
, 'OPTICAL'
, 'WEATHER'
, 'CLOUDS'
, 'ATMOSPHERE'
, 'VISUALISATION'
, 'L2'
, 'MSGCLTH'
, 'CTH'
], |
| license: |
'other', |
| constellation: |
'MSG', |
| instruments: |
['SEVIRI'
], |
| platform: |
'MSG', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'OPTICAL', |
|
|
97
Collection("MSG_CTH_IODC")
| id: |
'MSG_CTH_IODC', |
| title: |
'Cloud Top Height - MSG - Indian Ocean', |
| description: |
'The product indicates the height of highest cloud. Based on a subset of the information derived during Scenes and Cloud Analysis,
but also makes use of other external meteorological data. Applications and Users: Aviation meteorology. From 1 June 2022,
Meteosat-9 at 45.5° E is the prime satellite for the IODC service, replacing Meteosat-8 (located at 41.5° E while in operation).
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2020-09-01 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['MSG'
, 'SEVIRI'
, 'OPTICAL'
, 'WEATHER'
, 'CLOUDS'
, 'ATMOSPHERE'
, 'VISUALISATION'
, 'L2'
, 'MSGCLTH'
, 'CTH'
], |
| license: |
'other', |
| constellation: |
'MSG', |
| instruments: |
['SEVIRI'
], |
| platform: |
'MSG', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'OPTICAL', |
|
|
98
Collection("MSG_GSAL2R02")
| id: |
'MSG_GSAL2R02', |
| title: |
'GSA Level 2 Climate Data Record Release 2 - MFG and MSG - 0 degree', |
| description: |
'Release 2 of the Thematic Climate Data Record (TCDR) of the Meteosat First Generation (MFG) and Meteosat Second Generation (MSG)
Level 2 land surface albedo. The variables estimated are black-sky albedo (BSA) and white-sky albedo (WSA) with the corresponding
uncertainties as explained in the Product User Guide (PUM). The data record validation and limitations are provided in the
Validation Report (VR). The products are available in netCDF4 format. This release contains products generated with Meteosat-2
to Meteosat-10.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[1982-02-10 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['MSG'
, 'MFG'
, 'SEVIRI'
, 'MVIRI'
, 'OPTICAL'
, 'CLIMATE'
, 'L2'
, 'MxGGSA000200'
], |
| license: |
'other', |
| constellation: |
'MSG,MFG', |
| instruments: |
['MVIRI'
, 'SEVIRI'
], |
| platform: |
'MSG,MFG', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'OPTICAL', |
|
|
99
Collection("MSG_HRSEVIRI")
| id: |
'MSG_HRSEVIRI', |
| title: |
'High Rate SEVIRI Level 1.5 Image Data - MSG - 0 degree', |
| description: |
'Rectified (level 1.5) Meteosat SEVIRI image data. The data is transmitted as High Rate transmissions in 12 spectral channels.
Level 1.5 image data corresponds to the geolocated and radiometrically pre-processed image data, ready for further processing,
e.g. the extraction of meteorological products. Any spacecraft specific effects have been removed, and in particular, linearisation
and equalisation of the image radiometry has been performed for all SEVIRI channels. The on-board blackbody data has been processed.
Both radiometric and geometric quality control information is included. Images are made available with different timeliness according
to their latency: quarter-hourly images if latency is more than 3 hours and hourly images if latency is less than 3 hours
(for a total of 87 images per day). To enhance the perception for areas which are on the night side of the Earth a different mapping
with increased contrast is applied for IR3.9 product. The greyscale mapping is based on the EBBT which allows to map the ranges 200 K
to 300 K for the night and 250 K to 330 K for the day.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2004-01-19 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['MSG'
, 'SEVIRI'
, 'OPTICAL'
, 'OCEAN'
, 'ATMOSPHERE'
, 'VISUALISATION'
, 'L1'
, 'MSG15'
, 'HRSEVIRI'
], |
| license: |
'other', |
| constellation: |
'MSG', |
| instruments: |
['SEVIRI'
], |
| platform: |
'MSG', |
| processing:level: |
'L1', |
| eodag:sensor_type: |
'OPTICAL', |
|
|
100
Collection("MSG_HRSEVIRI_IODC")
| id: |
'MSG_HRSEVIRI_IODC', |
| title: |
'High Rate SEVIRI Level 1.5 Image Data - MSG - Indian Ocean', |
| description: |
'Rectified (level 1.5) Meteosat SEVIRI image data. The data is transmitted as High Rate transmissions in 12 spectral channels.
Level 1.5 image data corresponds to the geolocated and radiometrically pre-processed image data, ready for further processing,
e.g. the extraction of meteorological products. Any spacecraft specific effects have been removed, and in particular, linearisation
and equalisation of the image radiometry has been performed for all SEVIRI channels. The on-board blackbody data has been processed.
Both radiometric and geometric quality control information is included. Images are made available with different timeliness according
to the latency: quarter-hourly images with a latency of more than 3 hours and hourly images if latency is less than 3 hours
(for a total of 87 images per day). To enhance the perception for areas which are on the night side of the Earth a different mapping
with increased contrast is applied for IR3.9 product. The greyscale mapping is based on the EBBT which allows to map the ranges 200 K
to 300 K for the night and 250 K to 330 K for the day.
From 1 June 2022, Meteosat-9 at 45.5° E is the prime satellite for the IODC service, replacing Meteosat-8 (located at 41.5° E while in operation).
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2017-02-01 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['MSG'
, 'SEVIRI'
, 'OPTICAL'
, 'OCEAN'
, 'ATMOSPHERE'
, 'VISUALISATION'
, 'L1'
, 'MSG15'
, 'HRSEVIRI'
, 'IODC'
], |
| license: |
'other', |
| constellation: |
'MSG', |
| instruments: |
['SEVIRI'
], |
| platform: |
'MSG', |
| processing:level: |
'L1', |
| eodag:sensor_type: |
'OPTICAL', |
|
|
101
Collection("MSG_LSA_FRM")
| id: |
'MSG_LSA_FRM', |
| title: |
'Fire Risk Map - Released Energy Based - MSG', |
| description: |
'Fire risk by merging NWP & remotely sensed (FRP) data. The product includes 24h, 48h, 72h, 96h and 120h forecasts of: risk of fire (5 classes)
and the probability of ignitions reaching energy releases over 2000GJ (both covering Southern Europe); Fire Weather Index (FWI)
and respective components estimated for the whole MSG disk.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2023-09-21 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['LSA-504.2'
, 'FRMV2'
, 'FIRE'
, 'VEGETATION'
, 'LAND'
, 'MSG'
, 'SEVIRI'
, 'OPTICAL'
, 'LAND'
, 'L2'
], |
| license: |
'other', |
| constellation: |
'MSG', |
| instruments: |
['SEVIRI'
], |
| platform: |
'MSG', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'OPTICAL', |
|
|
102
Collection("MSG_LSA_LSTDE")
| id: |
'MSG_LSA_LSTDE', |
| title: |
'Land Surface Temperature with Directional Effects - MSG', |
| description: |
'Land Surface Temperature (LST) is the radiative skin temperature over land. LST plays an important role in the physics of land surface as
it is involved in the processes of energy and water exchange with the atmosphere. LST is useful for the scientific community, namely for
those dealing with meteorological and climate models. Accurate values of LST are also of special interest in a wide range of areas related
to land surface processes, including meteorology, hydrology, agrometeorology, climatology and environmental studies.
Land Surface Emissivity (EM), a crucial parameter for LST retrieval from space, is independently estimated as a function of (satellite derived)
Fraction of Vegetation Cover (FVC) and land cover classification. In the most recent version of the dataset, information on the expected
deviation of LST estimates from SEVIRI/MSG with respect to a reference view - here considered to be nadir view - has been added to the
original product (LSA-001) as an extra data layer (LSA-004).
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2005-01-16 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['LSA-004'
, 'LSA-001'
, 'MLST_DIR'
, 'FIRE'
, 'VEGETATION'
, 'LAND'
, 'MSG'
, 'SEVIRI'
, 'OPTICAL'
, 'LAND'
, 'L2'
], |
| license: |
'other', |
| constellation: |
'MSG', |
| instruments: |
['SEVIRI'
], |
| platform: |
'MSG', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'OPTICAL', |
|
|
103
Collection("MSG_LSA_LST_CDR")
| id: |
'MSG_LSA_LST_CDR', |
| title: |
'Land Surface Temperature Climate Data Record - MSG', |
| description: |
'The full archive of MSG/SEVIRI data was reprocessed to provide the user community a consistent, homogeneous and continuous Data Record of
the 15-min Land Surface Temperature (LST) for the period 2004-2015. This Data Record was obtained with the best version of its equivalent
NRT product (MLST) which can also complement the time series from 2016 onwards.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2004-01-21 00:00:00+00:00
, 2015-12-31 00:00:00+00:00
]
]
}
}, |
| keywords: |
['LSA-050'
, 'MLST-R'
, 'FIRE'
, 'VEGETATION'
, 'LAND'
, 'MSG'
, 'SEVIRI'
, 'OPTICAL'
, 'LAND'
, 'L3'
], |
| license: |
'other', |
| constellation: |
'MSG', |
| instruments: |
['SEVIRI'
], |
| platform: |
'MSG', |
| processing:level: |
'L3', |
| eodag:sensor_type: |
'OPTICAL', |
|
|
104
Collection("MSG_MFG_GSA_0")
| id: |
'MSG_MFG_GSA_0', |
| title: |
'GSA Level 2 Climate Data Record Release 2 - MFG and MSG - 0 degree', |
| description: |
'Release 2 of the Thematic Climate Data Record (TCDR) of the Meteosat First
Generation (MFG) and Meteosat Second Generation (MSG) Level 2 land surface
albedo. The variables estimated are black-sky albedo (BSA) and white-sky
albedo (WSA) with the corresponding uncertainties as explained in the
Product User Guide (PUM). The data record validation and limitations are
provided in the Validation Report (VR). The products are available in
netCDF4 format. This release contains products generated with Meteosat-2 to
Meteosat-10.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[1982-02-10 00:00:00+00:00
, 2017-12-31 23:59:59+00:00
]
]
}
}, |
| keywords: |
['MVIRI'
, 'SEVIRI'
, 'L2'
, 'MFG'
, 'MSG'
, 'Climate'
, 'Thematic'
, 'Meteosat'
, 'TCDR'
], |
| license: |
'other', |
| constellation: |
'MFG,MSG', |
| instruments: |
['MVIRI'
, 'SEVIRI'
], |
| platform: |
'MFG,MSG', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'OPTICAL', |
|
|
105
Collection("MSG_MSG15_RSS")
| id: |
'MSG_MSG15_RSS', |
| title: |
'Rapid Scan High Rate SEVIRI Level 1.5 Image Data - MSG', |
| description: |
'Rectified (level 1.5) Meteosat SEVIRI Rapid Scan image data. The baseline scan region is a reduced area of the top 1/3 of a nominal
repeat cycle, covering a latitude range from approximately 15 degrees to 70 degrees. The service generates repeat cycles at
5-minute intervals (the same as currently used for weather radars). The dissemination of RSS data is similar to the normal dissemination,
with image segments based on 464 lines and compatible with the full disk level 1.5 data scans. Epilogue and prologue
(L1.5 Header and L1.5 Trailer) have the same structure. Calibration is as in Full Earth Scan. Image rectification is to 9.5 degreesE.
The scans start at 00:00, 00:05, 00:10, 00:15 ... etc. (5 min scan). The differences from the nominal Full Earth scan are that for
channels 1 - 11, only segments 6 - 8 are disseminated and for the High Resolution Visible Channel only segments 16 - 24 are disseminated.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2008-05-13 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['MSG15-RSS'
, 'MSG15'
, 'MSG'
, 'SEVIRI'
, 'OPTICAL'
, 'OCEAN'
, 'ATMOSPHERE'
, 'LAND'
, 'L1'
], |
| license: |
'other', |
| constellation: |
'MSG', |
| instruments: |
['SEVIRI'
], |
| platform: |
'MSG', |
| processing:level: |
'L1', |
| eodag:sensor_type: |
'OPTICAL', |
|
|
106
Collection("MSG_OCA_CDR")
| id: |
'MSG_OCA_CDR', |
| title: |
'Optimal Cloud Analysis Climate Data Record Release 1 - MSG - 0 degree', |
| description: |
'The OCA Release 1 Climate Data Record (CDR) covers the MSG observation
period from 2004 up to 2019, providing a homogenous cloud properties time
series. It is generated at full Meteosat repeat cycle (15 minutes)
fequency. Cloud properties retrieved by OCA are cloud top pressure, cloud
optical thickness, and cloud effective radius, together with uncertainties.
The OCA algorithm has been slightly adapted for climate data record
processing. The adaptation mainly consists in the usage of different
inputs, because the one used for Near Real Time (NRT) were not available
for the reprocessing (cloud mask, clear sky reflectance map) and also not
homogenous (reanalysis) over the complete time period. it extends the NRT
data record more than 9 years back in time. This is a Thematic Climate Data
Record (TCDR).
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2004-01-19 00:00:00+00:00
, 2019-08-31 23:59:59+00:00
]
]
}
}, |
| keywords: |
['MSG'
, 'L2'
, 'SEVIRI'
, 'Climate'
, 'Clouds'
, 'Atmosphere'
, 'Observation'
, 'Thematic'
, 'TCDR'
, 'OCA'
], |
| license: |
'other', |
| constellation: |
'MSG', |
| instruments: |
['SEVIRI'
], |
| platform: |
'MSG', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'MSG', |
|
|
107
Collection("MSG_RSS_CLM")
| id: |
'MSG_RSS_CLM', |
| title: |
'Rapid Scan Cloud Mask - MSG', |
| description: |
'The Rapid Scanning Services (RSS) Cloud Mask product describes the scene type (either 'clear' or 'cloudy') on a pixel level. Each pixel
is classified as one of the following four types: clear sky over water, clear sky over land, cloud, or not processed (off Earth disc).
Applications & Uses: The main use is in support of Nowcasting applications, where it frequently serves as a basis for other cloud products,
and the remote sensing of continental and ocean surfaces.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2013-02-28 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['RSS-CLM'
, 'MSGCLMK'
, 'MSG'
, 'SEVIRI'
, 'OPTICAL'
, 'CLOUDS'
, 'ATMOSPHERE'
, 'L2'
], |
| license: |
'other', |
| constellation: |
'MSG', |
| instruments: |
['SEVIRI'
], |
| platform: |
'MSG', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'OPTICAL', |
|
|
108
Collection("MSG_SEVIRI_RSS_AMV_CDR_V1")
| id: |
'MSG_SEVIRI_RSS_AMV_CDR_V1', |
| title: |
'SEVIRI Rapid Scan Atmospheric Motion Vectors Climate Data Record Release 1 - MSG', |
| description: |
'Release 1 of the Climate Data Record (CDR) of MSG imager SEVIRI
(Spinning Enhanced Visible Infra-Red Imager) High-Resolution Wind (HRW)
from the Rapid Scan Service (RSS). This release covers the MSG SEVIRI
RSS record from three different satellite platforms Meteosat-8 to -10.
The CDR covers 12 years’ worth of data from 2008-05-06 until 2020-04-03
and there is a product every five minutes in NetCDF format. It provides
information on Atmospheric motion vectors (AMV) speed (ms-1),
direction (degree), and height (given in pressure units Pa) of vectors
which are derived by tracking cloud or water vapour features between
two images in time. AMV are wind vectors retrieved at all heights below
the tropopause, derived from High Resolution Visible (HRV), Visible 0.6
microns Water Vapour (6.2 microns and 7.3 microns) and 10.8 microns.
Infrared channels. In all channels, winds are retrieved by tracking cloud
features. For the two WV channels, water vapour features are also tracked
(clear sky winds).\nThe data record has been generated using the NWC SAF
software for geostationary satellites (NWC/GEO).
', |
| extent: |
{
'spatial': {
'bbox': [[-64.0
, 16.0
, 70.0
, 70.0
]
]
}
,
'temporal': {
'interval': [[2008-05-06 00:00:00+00:00
, 2020-04-03 00:00:00+00:00
]
]
}
}, |
| keywords: |
['Wind'
, 'Level 2 Data'
, 'SEVIRI'
, 'MSG'
], |
| license: |
'CC-BY-4.0', |
| constellation: |
'MSG', |
| instruments: |
['SEVIRI'
], |
| platform: |
'MSG', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'Optical', |
|
|
109
Collection("MSG_SEVIRI_RSS_HR_IMG_L1_5_V1")
| id: |
'MSG_SEVIRI_RSS_HR_IMG_L1_5_V1', |
| title: |
'SEVIRI Rapid Scan High Rate Level 1.5 Image Data Climate Data Record Release 1 - MSG', |
| description: |
'Release 1 of the Fundamental Climate Data Record (FCDR) of MSG imager
SEVIRI (Spinning Enhanced Visible Infra-Red Imager) level 1.5 counts
and recalibration coefficients (only for the infrared channels) from
the Rapid Scan Service (RSS). This release covers the MSG SEVIRI RSS
record from three different satellite platforms Meteosat-8 to -10.
Both operational and recalibrated calibration coefficients are provided.
The FCDR covers 13 years’ worth of data from 2008-05-06 until 2021-09-17,
but recalibrated parameters are only available until 2020-04. To improve
usability, the data are reformatted to NetCDF and additionally contain
variable grouping, geolocation information, and sun/satellite angles.
', |
| extent: |
{
'spatial': {
'bbox': [[-71.22
, 12.78
, 90.22
, 81.26
]
]
}
,
'temporal': {
'interval': [[2008-05-06 00:00:00+00:00
, 2021-09-17 00:00:00+00:00
]
]
}
}, |
| keywords: |
['Calibration'
, 'Level 1 Data'
, 'Fundamental Climate Data Record'
, 'Radiation'
, 'SEVIRI'
, 'MSG'
], |
| license: |
'proprietary', |
| constellation: |
'MSG', |
| instruments: |
['SEVIRI'
], |
| platform: |
'MSG', |
| processing:level: |
'L1', |
| eodag:sensor_type: |
'Optical', |
|
|
110
Collection("MSG_SEVIRI_SARAH_CDR_V003")
| id: |
'MSG_SEVIRI_SARAH_CDR_V003', |
| title: |
'Surface Radiation Data Set - Heliosat (SARAH) - Edition 3', |
| description: |
'The third edition of the Surface Solar Radiation Data Set - Heliosat
(SARAH-3) is a satellite-based climate data record of the solar
surface irradiance (SIS), the surface direct irradiance ((direct
horizontal and direct normalized, SID and DNI), the sunshine duration
(SDU), the photosynthetically active radiation (PAR), daylight (DAL),
and the effective cloud albedo derived (CAL) from satellite-observations
of the visible channels of the MVIRI and the SEVIRI instruments onboard
the geostationary Meteosat satellites. SARAH-3 covers the time period
1 Jan 1983 - 31 Dec 2020 as climate data record (CDR) and is
operationally extended as Interim Climate Data Record (ICDR) to the
present with a latency of 5 days; the data cover the region ±65°
longitude and ±65° latitude. The products are available as monthly
(P1M) and daily (P1D) means, and as 30-min instantaneous data (PT30M)
(sunshine duration is available as monthly and daily sum) on a regular
latitude/longitude grid with a spatial resolution of 0.05° x 0.05°
degrees. The data record is complemented with a comprehensive
documentation of the algorithms used and the generation of the data
record. Validation report and user guidance are also available.\n\n
All product are available via the CM SAF Web User Interface. The
daily and monthly mean surface incoming shortwave radiation (SIS)
and the daily and monthly sums of sunshine duration (SDU) are also
provided via EUMETCast.\n\nNote: the CDR coverage ends on the
31/12/2020. Dates after 31/12/2020 are covered by the ICDR.
', |
| extent: |
{
'spatial': {
'bbox': [[-65.0
, -65.0
, 65.0
, 65.0
]
]
}
,
'temporal': {
'interval': [[1983-01-01 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['Climate'
, 'Interim Climate Data Record'
, 'Radiation'
, 'Thematic Climate Data Record'
, 'SEVIRI'
, 'MSG'
], |
| license: |
'CC-BY-4.0', |
| constellation: |
'MSG', |
| instruments: |
['SEVIRI'
, 'MVIRI'
], |
| platform: |
'MSG,MFG', |
| eodag:sensor_type: |
'Optical', |
|
|
111
Collection("MTG_FCI_ACTIVE_FIRE_L2_V1")
| id: |
'MTG_FCI_ACTIVE_FIRE_L2_V1', |
| title: |
'Active Fire Monitoring (netCDF) - MTG - 0 degree', |
| description: |
'The Active Fire Monitoring product indicates the presence of fire within a pixel.
The key input to the algorithm is the FCI channel IR-3.8, which is very sensitive to hot spots caused by fire.
', |
| extent: |
{
'spatial': {
'bbox': [[-67.5
, -67.5
, 67.5
, 67.5
]
]
}
,
'temporal': {
'interval': [[2025-07-03 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['Fire'
, 'Level 2 Data'
, 'MTG'
], |
| license: |
'CC-BY-4.0', |
| constellation: |
'MTG', |
| instruments: |
['FCI'
], |
| platform: |
'MTG', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'Imager', |
|
|
112
Collection("MTG_FCI_AMV_BUFR")
| id: |
'MTG_FCI_AMV_BUFR', |
| title: |
'Atmospheric Motion Vectors (BUFR) - MTG - 0 degree', |
| description: |
'The Atmospheric Motion Vector (AMV) product is realised by tracking
clouds or water vapour features in consecutive FCI satellite images
based on feature tracking between each pair of consecutive repeat
cycles, leading to two intermediate AMV products for an image triplet.
The final product is then derived from these two intermediate products,
and includes information on wind speed, direction, height, and quality.
AMVs are extracted from the FCI VIS 0.8, IR 3.8 (night only), IR 10.5,
WV 6.3 and WV 7.3 channels. The AMV product is available in BUFR and
netCDF format, every 30 minutes.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2025-01-22 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['MTG'
, 'L2'
, 'FCI'
, 'AMV'
, 'Clouds'
, 'BUFR'
], |
| license: |
'other', |
| constellation: |
'MTG', |
| instruments: |
['FCI'
], |
| platform: |
'MTG', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'Imager', |
|
|
113
Collection("MTG_FCI_AMV_NETCDF")
| id: |
'MTG_FCI_AMV_NETCDF', |
| title: |
'Atmospheric Motion Vectors (netCDF) - MTG - 0 degree', |
| description: |
'The Atmospheric Motion Vector (AMV) product is realised by tracking
clouds or water vapour features in consecutive FCI satellite images
based on feature tracking between each pair of consecutive repeat
cycles, leading to two intermediate AMV products for an image triplet.
The final product is then derived from these two intermediate products,
and includes information on wind speed, direction, height, and quality.
AMVs are extracted from the FCI VIS 0.8, IR 3.8 (night only), IR 10.5,
WV 6.3 and WV 7.3 channels. The AMV product is available in BUFR and
netCDF format, every 30 minutes.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2025-01-22 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['MTG'
, 'L2'
, 'FCI'
, 'AMV'
, 'Clouds'
, 'netCDF'
], |
| license: |
'other', |
| constellation: |
'MTG', |
| instruments: |
['FCI'
], |
| platform: |
'MTG', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'Imager', |
|
|
114
Collection("MTG_FCI_ASR_BUFR")
| id: |
'MTG_FCI_ASR_BUFR', |
| title: |
'All Sky Radiance (BUFR) - MTG - 0 degree', |
| description: |
'The All-Sky Radiance (ASR) product is a segmented product that provides
FCI Level 1C data statistics within processing segments referred to as
Field-of-Regard (FoR). The statistics are computed on the L1C radiances
(for all FCI channels), brightness temperatures (for the eight IR
channels) and reflectances (for the eight visible and near-infrared
channels) and include the mean value, standard deviation, minimum and
maximum values within the FoR. The ASR product is available in BUFR
and netCDF format, every 10 minutes, at a spatial resolution of 16x16
pixels (IR) and 32x32 pixels (VIS).
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2025-01-22 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['MTG'
, 'L2'
, 'FCI'
, 'ASR'
, 'Radiance'
, 'BUFR'
], |
| license: |
'other', |
| constellation: |
'MTG', |
| instruments: |
['FCI'
], |
| platform: |
'MTG', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'Imager', |
|
|
115
Collection("MTG_FCI_ASR_NETCDF")
| id: |
'MTG_FCI_ASR_NETCDF', |
| title: |
'All Sky Radiance (netCDF) - MTG - 0 degree', |
| description: |
'The All-Sky Radiance (ASR) product is a segmented product that provides
FCI Level 1C data statistics within processing segments referred to as
Field-of-Regard (FoR). The statistics are computed on the L1C radiances
(for all FCI channels), brightness temperatures (for the eight IR
channels) and reflectances (for the eight visible and near-infrared
channels) and include the mean value, standard deviation, minimum and
maximum values within the FoR. The ASR product is available in BUFR
and netCDF format, every 10 minutes, at a spatial resolution of 16x16
pixels (IR) and 32x32 pixels (VIS).
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2025-01-22 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['MTG'
, 'L2'
, 'FCI'
, 'ASR'
, 'Radiance'
, 'netCDF'
], |
| license: |
'other', |
| constellation: |
'MTG', |
| instruments: |
['FCI'
], |
| platform: |
'MTG', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'Imager', |
|
|
116
Collection("MTG_FCI_CLM")
| id: |
'MTG_FCI_CLM', |
| title: |
'Cloud Mask - MTG - 0 degree', |
| description: |
'The central aim of the cloud mask (CLM) product is to identify cloudy and
cloud free FCI Level 1c pixels with high confidence. The product also
provides information on the presence of snow/sea ice, volcanic ash and
dust. This information is crucial both for spatiotemporal analyses of the
cloud coverage and for the subsequent retrieval of other meteorological
products that are only valid for cloudy (e.g. cloud properties) or clear
pixels (e.g. clear sky reflectance maps or global instability indices).
The algorithm is based on multispectral threshold techniques applied to
each pixel of the image. CLM is available in netCDF and GRIB format,
every 10 minutes, at a spatial resolution of 2 km at nadir.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2025-01-22 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['MTG'
, 'L2'
, 'FCI'
, 'CLM'
, 'Clouds'
], |
| license: |
'other', |
| constellation: |
'MTG', |
| instruments: |
['FCI'
], |
| platform: |
'MTG', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'Imager', |
|
|
117
Collection("MTG_FCI_FDHSI")
| id: |
'MTG_FCI_FDHSI', |
| title: |
'FCI Level 1c Normal Resolution Image Data - MTG - 0 degree', |
| description: |
'The rectified (Level 1c) Meteosat FCI full disc image data in normal
spatial (FDHSI) resolution. The FCI instrument consists of 16 imaging
spectral channels ranging from 0.4 µm to 13.3 µm with the channel at 3.8 µm
having an extended dynamic range dedicated to fire monitoring. The spatial
resolution is 1km for visible and near-infrared channels and 2 km for
infrared channels. FCI Level 1c rectified radiance dataset consists of a
set of files that contain the level 1c science data rectified to a
reference grid together with the auxiliary data associated with the
processing configuration and the quality assessment of the dataset. Level
1c image data here corresponds to initially geolocated and radiometrically
pre-processed image data, without full georeferencing and cal/val in
spatial and spectral domains applied. The data are ready for further
processing and testing, e.g. value chains and initial tests for extracting
meteorological products, however, we generally do not recommend the
generation of Level 2 products due to known limitations in the Level 1c
data.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2024-09-24 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['MTG'
, 'L1'
, 'FCI'
, 'FDHSI'
, 'Atmosphere'
, 'Ocean'
, 'Land'
], |
| license: |
'other', |
| constellation: |
'MTG', |
| instruments: |
['FCI'
], |
| platform: |
'MTG', |
| processing:level: |
'L1', |
| eodag:sensor_type: |
'Imager', |
|
|
118
Collection("MTG_FCI_GII")
| id: |
'MTG_FCI_GII', |
| title: |
'Global Instability Indices - MTG - 0 degree', |
| description: |
'The Global Instability Index (GII) product provides information about
instability of the atmosphere and thus can identify regions of convective
potential. GII is a segmented product that uses an optimal estimation
scheme to fit clear-sky vertical profiles of temperature and humidity,
constrained by NWP forecast products, to FCI observations in the seven
channels WV6.3, WV7.3, IR8.7, IR9.7, IR10.5, IR12.3, and IR13.3. The
retrieved profiles are then used to compute atmospheric instability
indices: Lifted Index, K Index, Layer Precipitable Water, Total
Precipitable Water. The GII product is available in netCDF format, every
10 minutes, in 3x3 pixels (IR channels), leading to a spatial resolution
of 6 km at nadir.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2025-01-22 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['MTG'
, 'L2'
, 'FCI'
, 'GII'
, 'atmosphere'
], |
| license: |
'other', |
| constellation: |
'MTG', |
| instruments: |
['FCI'
], |
| platform: |
'MTG', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'Imager', |
|
|
119
Collection("MTG_FCI_HRFI")
| id: |
'MTG_FCI_HRFI', |
| title: |
'FCI Level 1c High Resolution Image Data - MTG - 0 degree', |
| description: |
'The rectified (Level 1c) Meteosat FCI full disc image data in high spatial
(HRFI) resolution.The FCI instrument consists of 16 imaging spectral
channels ranging from 0.4 µm to 13.3 µm with the channel at 3.8 µm having
an extended dynamic range dedicated to fire monitoring. The high-resolution
HRFI dataset has 4 spectral channels at VIS 0.6 µm, NIR 2.2 µm, IR 3.8 µm
and IR 13.3 µm with a spatial resolution of 0.5 km for visible and
near-infrared channels and 1 km for infrared channels. FCI Level 1c
rectified radiance dataset consists of a set of files that contain the
level 1c science data rectified to a reference grid together with the
auxiliary data associated with the processing configuration and the quality
assessment of the dataset. Level 1c image data here corresponds to
initially geolocated and radiometrically pre-processed image data, without
full georeferencing and cal/val in spatial and spectral domains applied.
The data are ready for further processing and testing, e.g. value chains
and initial tests for extracting meteorological products, however, we
generally do not recommend the generation of Level 2 products due to known
limitations in the Level 1c data. A selection of single channel data are
visualised in our EUMETView service.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2024-09-24 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['MTG'
, 'L1'
, 'FCI'
, 'HRFI'
, 'Atmosphere'
, 'Ocean'
, 'Land'
], |
| license: |
'other', |
| constellation: |
'MTG', |
| instruments: |
['FCI'
], |
| platform: |
'MTG', |
| processing:level: |
'L1', |
| eodag:sensor_type: |
'Imager', |
|
|
120
Collection("MTG_FCI_OCA")
| id: |
'MTG_FCI_OCA', |
| title: |
'Optimal Cloud Analysis - MTG - 0 degree', |
| description: |
'The Optimal Cloud Analysis (OCA) product uses an optimal estimation
retrieval scheme to retrieve cloud properties (phase, height and
microphysical properties) from visible, near-infrared and thermal
infrared FCI channels. The optimal estimation framework aims to ensure
that measurements and any prior information may be given appropriate
weight in the solution depending on error characteristics whether
instrumental or from modelling sources. The product can also contain
information on dust and volcanic ash clouds if these are flagged in the
corresponding Cloud Analysis Product. The OCA product is available in
netCDF format, every 10 minutes, at 2km spatial resolution at nadir.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2025-01-22 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['MTG'
, 'L2'
, 'FCI'
, 'OCA'
, 'Clouds'
], |
| license: |
'other', |
| constellation: |
'MTG', |
| instruments: |
['FCI'
], |
| platform: |
'MTG', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'Imager', |
|
|
121
Collection("MTG_FCI_OLR")
| id: |
'MTG_FCI_OLR', |
| title: |
'Outgoing LW radiation at TOA - MTG - 0 degree', |
| description: |
'The Outgoing Longwave Radiation (OLR) product is important for Earth
radiation budget studies as well as for weather and climate model
validation purposes, since variations in OLR reflect the response of the
Earth-atmosphere system to solar diurnal forcing. The product is based on
a statistical relationship linking the radiance measured in each FCI
infrared channel to the top-of-atmosphere outgoing longwave flux
integrated over the full infrared spectrum. The computation is done for
each pixel considering the cloud cover characteristics (clear sky,
semi-transparent and opaque cloud cover). The OLR product is available in
netCDF format, every 10 minutes, at 2 km spatial resolution at nadir.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2025-01-22 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['MTG'
, 'L2'
, 'FCI'
, 'OLR'
, 'Radiation'
, 'LW'
], |
| license: |
'other', |
| constellation: |
'MTG', |
| instruments: |
['FCI'
], |
| platform: |
'MTG', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'Imager', |
|
|
122
Collection("MTG_LI_AF")
| id: |
'MTG_LI_AF', |
| title: |
'LI Accumulated Flashes - MTG - 0 degree', |
| description: |
'LI Level 2 Accumulated Flashes (AF) complements the LI Level 2 Accumulated
Flash Area (AFA) by providing one with the variation of the number of
events within those regions reported to have lightning flashes in the
Accumulated Flash Area (AFA). Accumulated Flashes provide users with data
about the mapping of the number of LI events/detections rather than the
mapping of flashes. One should keep in mind that the absolute value within
each pixel of the Accumulated Flashes has no real physical meaning; it is
rather a proxy for the pixel-by-pixel variation of the number of events. It
is worth noting that one can derive the flash rate over a region
encompassing a complete lightning feature (not within an FCI grid pixel) in
Accumulated Flashes; this stems from the definition in Accumulated
(gridded) data.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2024-07-08 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['MTG'
, 'L2'
, 'LI'
, 'AF'
, 'Lightning'
, 'Weather'
, 'Flashes'
], |
| license: |
'other', |
| constellation: |
'MTG', |
| instruments: |
['LI'
], |
| platform: |
'MTG', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'Lightning Imager', |
|
|
123
Collection("MTG_LI_AFA")
| id: |
'MTG_LI_AFA', |
| title: |
'LI Accumulated Flash Area - MTG - 0 degree', |
| description: |
'LI Level 2 Accumulated Flash Area (AFA) provides the user with data about
flash mapping by using the area covered by the optical emission of each
flash in LI Level 2 Lightning Flashes (LFL). It is important to keep in
mind that each flash is treated as a flat (uniform) optical emission in
this data. Accumulated Flash Area allows one to monitor the regions within
a cloud top from which lightning-related optical emissions over 30 sec are
emerging and accumulating and to know the number of flashes that were
observed within the FCI grid pixels composing those regions. For example,
from the Accumulated Flash Area, one can derive the flash rate for each
pixel of the FCI 2km grid. This is a considerable improvement compared to
the simple description of the flash using the variable flash_footprint
available in Lightning Flashes.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2024-07-08 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['MTG'
, 'L2'
, 'LI'
, 'AFA'
, 'Lightning'
, 'Weather'
, 'Flashes'
, 'Accumulated'
], |
| license: |
'other', |
| constellation: |
'MTG', |
| instruments: |
['LI'
], |
| platform: |
'MTG', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'Lightning Imager', |
|
|
124
Collection("MTG_LI_AFR")
| id: |
'MTG_LI_AFR', |
| title: |
'LI Accumulated Flash Radiance - MTG - 0 degree', |
| description: |
'LI Level 2 Accumulated Flash Radiance (AFR) is meant to describe the
pixel-by-pixel variation of the optical emission accumulated over 30 sec
within the FCI 2km grid. This stems from the events contributing to LI
Level 2 Accumulated Flashes (AF) (each one contributing with its radiance)
and it can be thought of as the 'appearance' of the accumulated optical
emissions over 30 sec as seen by LI.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2024-07-08 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['MTG'
, 'L2'
, 'LI'
, 'AFR'
, 'Lightning'
, 'Weather'
, 'Flashes'
, 'Accumulated'
, 'Radiance'
], |
| license: |
'other', |
| constellation: |
'MTG', |
| instruments: |
['LI'
], |
| platform: |
'MTG', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'Lightning Imager', |
|
|
125
Collection("MTG_LI_LEF")
| id: |
'MTG_LI_LEF', |
| title: |
'LI Lightning Events Filtered - MTG - 0 degree', |
| description: |
'LI Level 2 Ligthning Events Filtered (LEF) is one of the initial products,
along with Lightning Flashes (LFL) and Lightning Groups (LGR), and provides
the finest scale over which LI can monitor lightning activity. Lightning
Flashes and Lightning Groups contain two variables that provide the size of
each group and flash in units of LI pixels, ie number_of_events and
flash_footprint, respectively. To compute the exact physical size of a
group/flash, users should use the information available in Ligthning Events
Filtered. One can derive such a descriptor only by knowing which events
compose a group/flash and employing the physical size of the projection of
each event on the Earth's surface for the computation.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2024-07-08 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['MTG'
, 'L2'
, 'LI'
, 'LEF'
, 'Lightning'
, 'Weather'
, 'Flashes'
, 'Filtered'
], |
| license: |
'other', |
| constellation: |
'MTG', |
| instruments: |
['LI'
], |
| platform: |
'MTG', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'Lightning Imager', |
|
|
126
Collection("MTG_LI_LFL")
| id: |
'MTG_LI_LFL', |
| title: |
'LI Lightning Flashes - MTG - 0 degree', |
| description: |
'LI Level 2 Lightning Flashes (LFL) contains LI flashes. The definition of a
flash is shared by LI and GLM; collections of groups that are correlated in
space and time within the two windows of 330 milliseconds (temporal window)
and 16.5km (space window), respectively. Even if the definition of a flash
is not uniform among all lightning location systems, the simple fact that a
flash is a collection of groups/strokes correlated in space and time
somewhat mitigates the differences in the way different types of lightning
sensors interpret different lightning processes. This makes flash datasets
of different lightning location systems more comparable than group/stroke
datasets.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2024-07-08 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['MTG'
, 'L2'
, 'LI'
, 'LFL'
, 'Lightning'
, 'Weather'
, 'Flashes'
], |
| license: |
'other', |
| constellation: |
'MTG', |
| instruments: |
['LI'
], |
| platform: |
'MTG', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'Lightning Imager', |
|
|
127
Collection("MTG_LI_LGR")
| id: |
'MTG_LI_LGR', |
| title: |
'LI Lightning Groups - MTG - 0 degree', |
| description: |
'LI Level 2 Lightning Groups (LGR) contains LI groups. These are closely
related to other similar space-born instruments. The definition of a group is
shared by LI, GLM and ISS-LIS groups: collections of pixel-based lightning
events that are acquired within the same acquisition frame and are spatially
clustered. LI groups provide users with information about the time-slicing
imaging (over the LI acquisition time, ie one millisecond) of lightning
optical emissions. When comparing LI groups with either GLM or ISS-LIS
groups, users must consider the differences in design between instruments,
such as integration time and spatial sampling/resolution. Both GLM and
ISS-LIS acquire over two milliseconds. When observing the same storm, this
difference in design can potentially create considerable differences in the
total number of groups, as well as differences between the acquisition times
of the groups. In addition, differences will be found also for the
geolocation of groups. In general, the discrepancies mentioned above are
expected to be of the order of a few milliseconds for the group time and of
the order of a few kilometres for the group geolocation.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2024-07-08 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['MTG'
, 'L2'
, 'LI'
, 'LGR'
, 'Lightning'
, 'Weather'
, 'groups'
], |
| license: |
'other', |
| constellation: |
'MTG', |
| instruments: |
['LI'
], |
| platform: |
'MTG', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'Lightning Imager', |
|
|
128
Collection("MULT_PMW_IR_GIRAFE_PRECIP_CDR_V001")
| id: |
'MULT_PMW_IR_GIRAFE_PRECIP_CDR_V001', |
| title: |
'GIRAFE v1: CM SAF Global Interpolated RAinFall Estimation version 1', |
| description: |
'The GIRAFE v1 climate data record (CDR) provides precipitation estimates
derived from a combination of passive microwave (PMW) observations onboard
polar orbiting satellites and infrared (IR) observations onboard
geostationary satellites. GIRAFE v1 covers the time period 2002/01/01
until 2022/12/31. The PMW input to GIRAFE v1 is from various microwave
imager and sounder instruments. Precipitation rate estimates are retrieved
from the observed PMW brightness temperatures by precipitation retrieval
algorithms HOAPS, PNPR-CLIM*, and PRPS. The resulting archives of
instantaneous precipitation rate estimates are homogenized using quantile
mapping. The IR input to GIRAFE comes from the five geostationary positions
forming the Geo-Ring, providing observations along all geographical longitudes.
The spatially and temporally highly resolved IR input is trained to detect the
occurrence of precipitation using the PMW-based instantaneous precipitation
rate estimates. Conditional precipitation rates are computed based on PMW
observations only. At latitudes higher than 55°N/S where Geo-Ring IR pixels
are extremely distorted, GIRAFE v1 relies only on the PMW input. GIRAFE v1 is
a gridded product which is available globally at a spatial resolution of 1° x 1°
and at a temporal resolution of 24h as accumulated precipitation computed from
the (IR-based) fraction of precipitation and the conditional precipitation rate.
Additionally, 1° x 1° monthly mean values of the daily accumulated precipitation
are provided. The daily accumulated precipitation features a dedicated sampling
uncertainty at the same 1° x 1° x 24 h resolution which is based on the analysis
of decorrelation scales in space and time in the IR-based precipitation fields.
This is a Thematic Climate Data Record (TCDR).\n*The PNPR-CLIM algorithm has
been developed by CNR-ISAC in the C3S_312b_Lot1 Copernicus project.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2002-01-01 00:00:00+00:00
, 2022-12-31 00:00:00+00:00
]
]
}
}, |
| keywords: |
['GOES'
, 'Himawari'
, 'MFG'
, 'MSG'
, 'Climate'
, 'Precipitation'
, 'Level 3 Data'
, 'GIRAFE'
], |
| license: |
'CC-BY-4.0', |
| constellation: |
'MTG', |
| instruments: |
['GOES Imager'
, 'VISSR'
, 'JAMI'
, 'MVIRI'
, 'AHI'
, 'MTSAT-2 Imager'
, 'ABI'
, 'SEVIRI'
], |
| platform: |
'GOES,Himawari,MFG,MSG', |
| processing:level: |
'L3', |
| eodag:sensor_type: |
'Optical,Imager', |
|
|
129
Collection("NAIP")
| id: |
'NAIP', |
| title: |
'National Agriculture Imagery Program', |
| description: |
'The National Agriculture Imagery Program (NAIP) acquires aerial imagery during the agricultural growing seasons in
the continental U.S. This "leaf-on" imagery and typically ranges from 60 centimeters to 100 centimeters in
resolution and is available from the naip-analytic Amazon S3 bucket as 4-band (RGB + NIR) imagery in MRF format.
NAIP data is delivered at the state level; every year, a number of states receive updates, with an overall update
cycle of two or three years. The tiling format of NAIP imagery is based on a 3.75' x 3.75' quarter quadrangle with
a 300 meter buffer on all four sides. NAIP imagery is formatted to the UTM coordinate system using NAD83. NAIP
imagery may contain as much as 10% cloud cover per tile.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2003-01-01 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['film'
, 'digital'
, 'cameras'
, 'Agriculture'
, 'NAIP'
], |
| license: |
'other', |
| constellation: |
'National Agriculture Imagery Program', |
| instruments: |
['film'
, 'digital-cameras'
], |
| platform: |
'NAIP', |
| processing:level: |
'N/A', |
| eodag:sensor_type: |
'OPTICAL', |
|
|
130
Collection("S1_AUX_GNSSRD")
| id: |
'S1_AUX_GNSSRD', |
| title: |
'SENTINEL1 Auxiliary Product', |
| description: |
'The Auxiliary (AUX) product contains the precise orbit ephemerides and the GNSS-Raw Data (GNSSRD) data.
The precise orbit ephemerides are provided as a text file in the format of the International GNSS Service (IGS).
The GNSS-Raw Data (GNSSRD) data is provided as a binary file in a specific format.
SAFE formatted product, see
https://sentinel.esa.int/web/sentinel/user-guides/sentinel-1-sar/data-formats/safe-specification
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2014-04-06 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SAR'
, 'SENTINEL'
, 'SENTINEL1'
, 'S1'
, 'S1A'
, 'S1B'
, 'S1C'
, 'AUX'
, 'GNSSRD'
, 'SAFE'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL1', |
| instruments: |
['SAR'
], |
| platform: |
'S1A,S1B,S1C', |
| processing:level: |
'AUX', |
| eodag:sensor_type: |
'RADAR', |
|
|
131
Collection("S1_AUX_MOEORB")
| id: |
'S1_AUX_MOEORB', |
| title: |
'SENTINEL1 Auxiliary Product', |
| description: |
'The Auxiliary (AUX) product contains the precise orbit ephemerides and the GNSS-Raw Data (GNSSRD) data.
The precise orbit ephemerides are provided as a text file in the format of the European Space Operations Centre
(ESOC).
The GNSS-Raw Data (GNSSRD) data is provided as a binary file in a specific format.
SAFE formatted product, see
https://sentinel.esa.int/web/sentinel/user-guides/sentinel-1-sar/data-formats/safe-specification
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2014-04-06 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SAR'
, 'SENTINEL'
, 'SENTINEL1'
, 'S1'
, 'S1A'
, 'S1B'
, 'S1C'
, 'AUX'
, 'MOEORB'
, 'SAFE'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL1', |
| instruments: |
['SAR'
], |
| platform: |
'S1A,S1B,S1C', |
| processing:level: |
'AUX', |
| eodag:sensor_type: |
'RADAR', |
|
|
132
Collection("S1_AUX_POEORB")
| id: |
'S1_AUX_POEORB', |
| title: |
'SENTINEL1 Auxiliary Product', |
| description: |
'The Auxiliary (AUX) product contains the precise orbit ephemerides and the GNSS-Raw Data (GNSSRD) data.
The precise orbit ephemerides are provided as a text file in the format of the European Space Operations Centre
(ESOC).
The GNSS-Raw Data (GNSSRD) data is provided as a binary file in a specific format.
SAFE formatted product, see
https://sentinel.esa.int/web/sentinel/user-guides/sentinel-1-sar/data-formats/safe-specification
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2014-04-06 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SAR'
, 'SENTINEL'
, 'SENTINEL1'
, 'S1'
, 'S1A'
, 'S1B'
, 'S1C'
, 'AUX'
, 'POEORB'
, 'SAFE'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL1', |
| instruments: |
['SAR'
], |
| platform: |
'S1A,S1B,S1C', |
| processing:level: |
'AUX', |
| eodag:sensor_type: |
'RADAR', |
|
|
133
Collection("S1_AUX_PREORB")
| id: |
'S1_AUX_PREORB', |
| title: |
'SENTINEL1 Auxiliary Product', |
| description: |
'The Auxiliary (AUX) product contains the precise orbit ephemerides and the GNSS-Raw Data (GNSSRD) data.
The precise orbit ephemerides are provided as a text file in the format of the European Space Operations Centre
(ESOC).
The GNSS-Raw Data (GNSSRD) data is provided as a binary file in a specific format.
SAFE formatted product, see
https://sentinel.esa.int/web/sentinel/user-guides/sentinel-1-sar/data-formats/safe-specification
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2014-04-06 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SAR'
, 'SENTINEL'
, 'SENTINEL1'
, 'S1'
, 'S1A'
, 'S1B'
, 'S1C'
, 'AUX'
, 'PREORB'
, 'SAFE'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL1', |
| instruments: |
['SAR'
], |
| platform: |
'S1A,S1B,S1C', |
| processing:level: |
'AUX', |
| eodag:sensor_type: |
'RADAR', |
|
|
134
Collection("S1_AUX_PROQUA")
| id: |
'S1_AUX_PROQUA', |
| title: |
'SENTINEL1 Auxiliary Product', |
| description: |
'The Auxiliary (AUX) product contains the precise orbit ephemerides and the GNSS-Raw Data (GNSSRD) data.
The precise orbit ephemerides are provided as a text file in the format of the European Space Operations Centre
(ESOC).
The GNSS-Raw Data (GNSSRD) data is provided as a binary file in a specific format.
SAFE formatted product, see
https://sentinel.esa.int/web/sentinel/user-guides/sentinel-1-sar/data-formats/safe-specification
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2014-04-06 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SAR'
, 'SENTINEL'
, 'SENTINEL1'
, 'S1'
, 'S1A'
, 'S1B'
, 'S1C'
, 'AUX'
, 'PROQUA'
, 'SAFE'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL1', |
| instruments: |
['SAR'
], |
| platform: |
'S1A,S1B,S1C', |
| processing:level: |
'AUX', |
| eodag:sensor_type: |
'RADAR', |
|
|
135
Collection("S1_AUX_RESORB")
| id: |
'S1_AUX_RESORB', |
| title: |
'SENTINEL1 Auxiliary Product', |
| description: |
'The Auxiliary (AUX) product contains the precise orbit ephemerides and the GNSS-Raw Data (GNSSRD) data.
The precise orbit ephemerides are provided as a text file in the format of the European Space Operations Centre
(ESOC).
The GNSS-Raw Data (GNSSRD) data is provided as a binary file in a specific format.
SAFE formatted product, see
https://sentinel.esa.int/web/sentinel/user-guides/sentinel-1-sar/data-formats/safe-specification
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2014-04-06 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SAR'
, 'SENTINEL'
, 'SENTINEL1'
, 'S1'
, 'S1A'
, 'S1B'
, 'S1C'
, 'AUX'
, 'RESORB'
, 'SAFE'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL1', |
| instruments: |
['SAR'
], |
| platform: |
'S1A,S1B,S1C', |
| processing:level: |
'AUX', |
| eodag:sensor_type: |
'RADAR', |
|
|
136
Collection("S1_SAR_GRD")
| id: |
'S1_SAR_GRD', |
| title: |
'SENTINEL1 Level-1 Ground Range Detected', |
| description: |
'Level-1 Ground Range Detected (GRD) products consist of focused SAR data that has been detected, multi-looked and
projected to ground range using an Earth ellipsoid model. Phase information is lost. The resulting product has
approximately square spatial resolution pixels and square pixel spacing with reduced speckle at the cost of worse
spatial resolution.
GRD products can be in one of three resolutions: |
Full Resolution (FR),
High Resolution (HR),
Medium Resolution (MR).
The resolution is dependent upon the amount of multi-looking performed. Level-1 GRD products are available in MR
and HR for IW and EW modes, MR for WV mode and MR, HR and FR for SM mode.
SAFE formatted product, see
https://sentinel.esa.int/web/sentinel/user-guides/sentinel-1-sar/data-formats/safe-specification
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2014-04-03 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SAR'
, 'SENTINEL'
, 'SENTINEL1'
, 'S1'
, 'S1A'
, 'S1B'
, 'S1C'
, 'L1'
, 'GRD'
, 'SAFE'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL1', |
| instruments: |
['SAR'
], |
| platform: |
'S1A,S1B,S1C', |
| processing:level: |
'L1', |
| eodag:sensor_type: |
'RADAR', |
|
|
137
Collection("S1_SAR_GRD_COG")
| id: |
'S1_SAR_GRD_COG', |
| title: |
'SENTINEL1 Level-1 Ground Range Detected', |
| description: |
'Level-1 Ground Range Detected (GRD) products consist of focused SAR data that has been detected, multi-looked and
projected to ground range using an Earth ellipsoid model. Phase information is lost. The resulting product has
approximately square spatial resolution pixels and square pixel spacing with reduced speckle at the cost of worse
spatial resolution.
GRD products can be in one of three resolutions: |
Full Resolution (FR),
High Resolution (HR),
Medium Resolution (MR).
The resolution is dependent upon the amount of multi-looking performed. Level-1 GRD products are available in MR
and HR for IW and EW modes, MR for WV mode and MR, HR and FR for SM mode.
Product containing Cloud Optimized GeoTIFF images, without SAFE formatting.
https://sentinel.esa.int/web/sentinel/user-guides/sentinel-1-sar/data-formats/safe-specification
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2014-04-03 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SAR'
, 'SENTINEL'
, 'SENTINEL1'
, 'S1'
, 'S1A'
, 'S1B'
, 'S1C'
, 'L1'
, 'GRD'
, 'COG'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL1', |
| instruments: |
['SAR'
], |
| platform: |
'S1A,S1B,S1C', |
| processing:level: |
'L1', |
| eodag:sensor_type: |
'RADAR', |
|
|
138
Collection("S1_SAR_L3_DH_MCM")
| id: |
'S1_SAR_L3_DH_MCM', |
| title: |
'SENTINEL1 Level-3 DH MCM', |
| description: |
'Level-3 DH (Dual polarization High Resolution) products are terrain corrected (geocoded) products in map geometry,
projected using the Range-Doppler model and resampled using nearest neighbor method. The pixel spacing is
approximately 10 m x 10 m. The product is available in dual polarization (HH+HV or VV+VH). The product is provided
in GeoTIFF format.
Product containing Cloud Optimized GeoTIFF images, without SAFE formatting.
https://sentinel.esa.int/web/sentinel/user-guides/sentinel-1-sar/data-formats/safe-specification
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2023-01-01 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SAR'
, 'SENTINEL'
, 'SENTINEL1'
, 'S1'
, 'S1A'
, 'S1B'
, 'S1C'
, 'L3'
, 'DH'
, 'MCM'
, 'COG'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL1', |
| instruments: |
['SAR'
], |
| platform: |
'S1A,S1B,S1C', |
| processing:level: |
'L3', |
| eodag:sensor_type: |
'RADAR', |
|
|
139
Collection("S1_SAR_L3_IW_MCM")
| id: |
'S1_SAR_L3_IW_MCM', |
| title: |
'SENTINEL1 Level-3 IW MCM', |
| description: |
'Level-3 IW (Interferometric Wide Swath) products are terrain corrected (geocoded) products in map geometry,
projected using the Range-Doppler model and resampled using nearest neighbor method. The pixel spacing is
approximately 10 m x 10 m. The product is available in two polarizations: Single (HH or VV) and Dual (HH+HV or
VV+VH). The product is provided in GeoTIFF format.
Product containing Cloud Optimized GeoTIFF images, without SAFE formatting.
https://sentinel.esa.int/web/sentinel/user-guides/sentinel-1-sar/data-formats/safe-specification
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2023-01-01 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SAR'
, 'SENTINEL'
, 'SENTINEL1'
, 'S1'
, 'S1A'
, 'S1B'
, 'S1C'
, 'L3'
, 'IW'
, 'MCM'
, 'COG'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL1', |
| instruments: |
['SAR'
], |
| platform: |
'S1A,S1B,S1C', |
| processing:level: |
'L3', |
| eodag:sensor_type: |
'RADAR', |
|
|
140
Collection("S1_SAR_OCN")
| id: |
'S1_SAR_OCN', |
| title: |
'SENTINEL1 Level-2 OCN', |
| description: |
'Level-2 OCN products include components for Ocean Swell spectra (OSW) providing continuity with ERS and ASAR WV
and two new components: Ocean Wind Fields (OWI) and Surface Radial Velocities (RVL).
The OSW is a two-dimensional ocean surface swell spectrum and includes an estimate of the wind speed and direction
per swell spectrum. The OSW is generated from Stripmap and Wave modes only. For Stripmap mode, there are multiple
spectra derived from internally generated Level-1 SLC images. For Wave mode, there is one spectrum per vignette.
The OWI is a ground range gridded estimate of the surface wind speed and direction at 10 m above the surface
derived from internally generated Level-1 GRD images of SM, IW or EW modes.
The RVL is a ground range gridded difference between the measured Level-2 Doppler grid and the Level-1 calculated
geometrical Doppler.
SAFE formatted product, see
https://sentinel.esa.int/web/sentinel/user-guides/sentinel-1-sar/data-formats/safe-specification
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2014-04-03 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SAR'
, 'SENTINEL'
, 'SENTINEL1'
, 'S1'
, 'S1A'
, 'S1B'
, 'S1C'
, 'L2'
, 'OCN'
, 'SAFE'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL1', |
| instruments: |
['SAR'
], |
| platform: |
'S1A,S1B,S1C', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'RADAR', |
|
|
141
Collection("S1_SAR_RAW")
| id: |
'S1_SAR_RAW', |
| title: |
'SENTINEL1 SAR Level-0', |
| description: |
'The SAR Level-0 products consist of the sequence of Flexible Dynamic Block Adaptive Quantization (FDBAQ) compressed
unfocused SAR raw data. For the data to be usable, it will need to be decompressed and processed using a SAR
processor.
SAFE formatted product, see
https://sentinel.esa.int/web/sentinel/user-guides/sentinel-1-sar/data-formats/safe-specification
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2014-04-03 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SAR'
, 'SENTINEL'
, 'SENTINEL1'
, 'S1'
, 'S1A'
, 'S1B'
, 'S1C'
, 'L0'
, 'RAW'
, 'SAFE'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL1', |
| instruments: |
['SAR'
], |
| platform: |
'S1A,S1B,S1C', |
| processing:level: |
'RAW', |
| eodag:sensor_type: |
'RADAR', |
|
|
142
Collection("S1_SAR_SLC")
| id: |
'S1_SAR_SLC', |
| title: |
'SENTINEL1 Level-1 Single Look Complex', |
| description: |
'Level-1 Single Look Complex (SLC) products consist of focused SAR data geo-referenced using orbit and attitude
data from the satellite and provided in zero-Doppler slant-range geometry. The products include a single look in
each dimension using the full transmit signal bandwidth and consist of complex samples preserving the phase
information.
SAFE formatted product, see
https://sentinel.esa.int/web/sentinel/user-guides/sentinel-1-sar/data-formats/safe-specification
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2014-04-03 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SAR'
, 'SENTINEL'
, 'SENTINEL1'
, 'S1'
, 'S1A'
, 'S1B'
, 'S1C'
, 'L1'
, 'SLC'
, 'SAFE'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL1', |
| instruments: |
['SAR'
], |
| platform: |
'S1A,S1B,S1C', |
| processing:level: |
'L1', |
| eodag:sensor_type: |
'RADAR', |
|
|
143
Collection("S2_MSI_L1C")
| id: |
'S2_MSI_L1C', |
| title: |
'SENTINEL2 Level-1C', |
| description: |
'The Level-1C product is composed of 100x100 km2 tiles (ortho-images in UTM/WGS84 projection). It results from
using a Digital Elevation Model (DEM) to project the image in cartographic geometry. Per-pixel radiometric
measurements are provided in Top Of Atmosphere (TOA) reflectances along with the parameters to transform them
into radiances. Level-1C products are resampled with a constant Ground Sampling Distance (GSD) of 10, 20 and 60
meters depending on the native resolution of the different spectral bands. In Level-1C products, pixel
coordinates refer to the upper left corner of the pixel. Level-1C products will additionally include Cloud Masks
and ECMWF data (total column of ozone, total column of water vapour and mean sea level pressure).
SAFE formatted product, see https://sentinel.esa.int/web/sentinel/user-guides/sentinel-2-msi/data-formats
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2015-06-23 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['MSI'
, 'SENTINEL'
, 'SENTINEL2'
, 'S2'
, 'S2A'
, 'S2B'
, 'S2C'
, 'L1'
, 'L1C'
, 'SAFE'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL2', |
| instruments: |
['MSI'
], |
| platform: |
'S2A,S2B,S2C', |
| processing:level: |
'L1', |
| eodag:sensor_type: |
'OPTICAL', |
|
|
144
Collection("S2_MSI_L2A")
| id: |
'S2_MSI_L2A', |
| title: |
'SENTINEL2 Level-2A', |
| description: |
'The Level-2A product provides Bottom Of Atmosphere (BOA) reflectance images derived from the associated Level-1C
products. Each Level-2A product is composed of 100x100 km2 tiles in cartographic geometry (UTM/WGS84 projection).
SAFE formatted product, see https://sentinel.esa.int/web/sentinel/user-guides/sentinel-2-msi/data-formats
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2018-03-26 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['MSI'
, 'SENTINEL'
, 'SENTINEL2'
, 'S2'
, 'S2A'
, 'S2B'
, 'S2C'
, 'L2'
, 'L2A'
, 'SAFE'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL2', |
| instruments: |
['MSI'
], |
| platform: |
'S2A,S2B,S2C', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'OPTICAL', |
|
|
145
Collection("S2_MSI_L2A_COG")
| id: |
'S2_MSI_L2A_COG', |
| title: |
'SENTINEL2 Level-2A', |
| description: |
'The Level-2A product provides Bottom Of Atmosphere (BOA) reflectance images derived from the associated Level-1C
products. Each Level-2A product is composed of 100x100 km2 tiles in cartographic geometry (UTM/WGS84 projection).
Product containing Cloud Optimized GeoTIFF images, without SAFE formatting.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2015-06-23 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['MSI'
, 'SENTINEL'
, 'SENTINEL2'
, 'S2'
, 'S2A'
, 'S2B'
, 'S2C'
, 'L2'
, 'L2A'
, 'COG'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL2', |
| instruments: |
['MSI'
], |
| platform: |
'S2A,S2B,S2C', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'OPTICAL', |
|
|
146
Collection("S2_MSI_L2A_MAJA")
| id: |
'S2_MSI_L2A_MAJA', |
| title: |
'SENTINEL2 Level-2A', |
| description: |
'The level 2A products correct the data for atmospheric effects and detect the clouds and their shadows using MAJA.
MAJA uses MUSCATE processing center at CNES, in the framework of THEIA land data center. Sentinel-2 level 1C data
are downloaded from PEPS. The full description of the product format is available at
https://theia.cnes.fr/atdistrib/documents/PSC-NT-411-0362-CNES_01_00_SENTINEL-2A_L2A_Products_Description.pdf
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2015-06-23 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['MSI'
, 'SENTINEL'
, 'SENTINEL2'
, 'S2'
, 'S2A'
, 'S2B'
, 'S2C'
, 'L2'
, 'L2A'
, 'MAJA'
], |
| license: |
'other', |
| providers: |
[{
'name': 'Centre National d'Etudes Spatiales (CNES)'
,
'roles': ['processor'
]
,
'url': 'https://www.cnes.fr'
}
], |
| constellation: |
'SENTINEL2', |
| instruments: |
['MSI'
], |
| platform: |
'S2A,S2B,S2C', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'OPTICAL', |
|
|
147
Collection("S2_MSI_L2B_MAJA_SNOW")
| id: |
'S2_MSI_L2B_MAJA_SNOW', |
| title: |
'SENTINEL2 snow product', |
| description: |
'The Theia snow product is derived from Sentinel-2 L2A images generated by Theia. It indicates the snow presence or
absence on the land surface every fifth day if there is no cloud. The product is distributed by Theia as a raster
file (8 bits GeoTIFF) of 20 m resolution and a vector file (Shapefile polygons). More details about the snow
products description are available at http://www.cesbio.ups-tlse.fr/multitemp/?page_id=10748#en
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2015-06-23 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['MSI'
, 'MAJA'
, 'SENTINEL'
, 'sentinel2'
, 'S2'
, 'S2A'
, 'S2B'
, 'S2C'
, 'L2'
, 'L2B'
, 'SNOW'
], |
| license: |
'other', |
| providers: |
[{
'name': 'Centre National d'Etudes Spatiales (CNES)'
,
'roles': ['processor'
]
,
'url': 'https://www.cnes.fr'
}
], |
| constellation: |
'SENTINEL2', |
| instruments: |
['MSI'
], |
| platform: |
'S2A,S2B,S2C', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'OPTICAL', |
|
|
148
Collection("S2_MSI_L2B_MAJA_WATER")
| id: |
'S2_MSI_L2B_MAJA_WATER', |
| title: |
'SENTINEL2 L2B-WATER', |
| description: |
'A description of the Land Water Quality data distributed by Theia is available at
https://theia.cnes.fr/atdistrib/documents/THEIA-ST-411-0477-CNES_01-03_Format_Specification_of_OBS2CO_WaterColor_Products.pdf
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2015-06-23 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['MSI'
, 'MAJA'
, 'SENTINEL'
, 'sentinel2'
, 'S2'
, 'S2A'
, 'S2B'
, 'S2C'
, 'L2'
, 'L2B'
, 'WATER'
], |
| license: |
'other', |
| providers: |
[{
'name': 'Centre National d'Etudes Spatiales (CNES)'
,
'roles': ['processor'
]
,
'url': 'https://www.cnes.fr'
}
], |
| constellation: |
'SENTINEL2', |
| instruments: |
['MSI'
], |
| platform: |
'S2A,S2B,S2C', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'OPTICAL', |
|
|
149
Collection("S3_EFR")
| id: |
'S3_EFR', |
| title: |
'SENTINEL3 EFR', |
| description: |
'OLCI (Ocean and Land Colour Instrument) Full resolution: 300m at nadir. Level 1 products are calibrated
Top Of Atmosphere radiance values at OLCI 21 spectral bands. Radiances are computed from the instrument digital
counts by applying geo-referencing, radiometric processing (non-linearity correction, smear correction, dark offset
correction, absolute gain calibration adjusted for gain evolution with time), and stray-light correction for
straylight effects in OLCI camera's spectrometer and ground imager. Additionally, spatial resampling of OLCI pixels
to the 'ideal' instrument grid, initial pixel classification, and annotation at tie points with auxiliary
meteorological data and acquisition geometry are provided. The radiance products are accompanied by error estimate
products, however the error values are currently not available. - All Sentinel-3 NRT products are available at
pick-up point in less than 3h. - All Sentinel-3 Non Time Critical (NTC) products are available at pick-up point in
less than 30 days. Sentinel-3 is part of a series of Sentinel satellites, under the umbrella of the
EU Copernicus programme.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2016-02-16 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['OLCI'
, 'SENTINEL'
, 'SENTINEL3'
, 'S3'
, 'S3A'
, 'S3B'
, 'L1'
, 'EFR'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL3', |
| instruments: |
['OLCI'
], |
| platform: |
'S3A,S3B', |
| processing:level: |
'L1', |
| eodag:sensor_type: |
'OPTICAL', |
|
|
150
Collection("S3_EFR_BC002")
| id: |
'S3_EFR_BC002', |
| title: |
'OLCI Level 1B Full Resolution (version BC002) - Sentinel-3 - Reprocessed', |
| description: |
'OLCI (Ocean and Land Colour Instrument) Full resolution: 300m at nadir. Level 1 products are calibrated
Top Of Atmosphere radiance values at OLCI 21 spectral bands. Radiances are computed from the instrument digital
counts by applying geo-referencing, radiometric processing (non-linearity correction, smear correction, dark offset
correction, absolute gain calibration adjusted for gain evolution with time), and stray-light correction for
straylight effects in OLCI camera's spectrometer and ground imager. Additionally, spatial resampling of OLCI pixels
to the 'ideal' instrument grid, initial pixel classification, and annotation at tie points with auxiliary
meteorological data and acquisition geometry are provided. The radiance products are accompanied by error estimate
products, however the error values are currently not available. - All Sentinel-3 NRT products are available at
pick-up point in less than 3h. - All Sentinel-3 Non Time Critical (NTC) products are available at pick-up point in
less than 30 days. Sentinel-3 is part of a series of Sentinel satellites, under the umbrella of the
EU Copernicus programme.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2016-04-25 00:00:00+00:00
, 2019-10-29 00:00:00+00:00
]
]
}
}, |
| keywords: |
['OLCI'
, 'SENTINEL'
, 'SENTINEL3'
, 'S3'
, 'S3A'
, 'S3B'
, 'L1'
, 'EFR'
, 'BC002'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL3', |
| instruments: |
['OLCI'
], |
| platform: |
'S3A,S3B', |
| processing:level: |
'L1', |
| eodag:sensor_type: |
'OPTICAL', |
|
|
151
Collection("S3_ERR")
| id: |
'S3_ERR', |
| title: |
'SENTINEL3 ERR', |
| description: |
'OLCI (Ocean and Land Colour Instrument) Reduced resolution: 1200m at nadir. All Sentinel-3 NRT products are
available at pick-up point in less than 3h. Level 1 products are calibrated Top Of Atmosphere radiance values
at OLCI 21 spectral bands. Radiances are computed from the instrument digital counts by applying geo-referencing,
radiometric processing (non-linearity correction, smear correction, dark offset correction, absolute gain
calibration adjusted for gain evolution with time), and stray-light correction for straylight effects in OLCI
camera's spectrometer and ground imager. Additionally, spatial resampling of OLCI pixels to the 'ideal' instrument
grid, initial pixel classification, and annotation at tie points with auxiliary meteorological data and acquisition
geometry are provided. The radiance products are accompanied by error estimate products, however the error values
are currently not available. - All Sentinel-3 NRT products are available at pick-up point in less than 3h
- All Sentinel-3 Non Time Critical (NTC) products are available at pick-up point in less than 30 days Sentinel-3 is
part of a series of Sentinel satellites, under the umbrella of the EU Copernicus programme.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2016-02-16 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['OLCI'
, 'SENTINEL'
, 'SENTINEL3'
, 'S3'
, 'S3A'
, 'S3B'
, 'L1'
, 'ERR'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL3', |
| instruments: |
['OLCI'
], |
| platform: |
'S3A,S3B', |
| processing:level: |
'L1', |
| eodag:sensor_type: |
'OPTICAL', |
|
|
152
Collection("S3_ERR_BC002")
| id: |
'S3_ERR_BC002', |
| title: |
'OLCI Level 1B Reduced Resolution (version BC002) - Sentinel-3 - Reprocessed', |
| description: |
'OLCI (Ocean and Land Colour Instrument) Reduced resolution: 1200m at nadir. Level 1 products are calibrated
Top Of Atmosphere radiance values at OLCI 21 spectral bands. Radiances are computed from the instrument digital
counts by applying geo-referencing, radiometric processing (non-linearity correction, smear correction, dark
offset correction, absolute gain calibration adjusted for gain evolution with time), and stray-light correction
for straylight effects in OLCI camera's spectrometer and ground imager. Additionally, spatial resampling of
OLCI pixels to the 'ideal' instrument grid, initial pixel classification, and annotation at tie points with
auxiliary meteorological data and acquisition geometry are provided. The radiance products are accompanied
by error estimate products, however the error values are currently not available. Sentinel-3 is part of a
series of Sentinel satellites, under the umbrella of the EU Copernicus programme. This collection contains
reprocessed data from baseline collection 002. Operational data can be found in the corresponding collection.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2016-04-25 00:00:00+00:00
, 2019-10-29 00:00:00+00:00
]
]
}
}, |
| keywords: |
['OLCI'
, 'SENTINEL'
, 'SENTINEL3'
, 'S3'
, 'S3A'
, 'S3B'
, 'L1'
, 'ERR'
, 'BC002'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL3', |
| instruments: |
['OLCI'
], |
| platform: |
'S3A,S3B', |
| processing:level: |
'L1', |
| eodag:sensor_type: |
'OPTICAL', |
|
|
153
Collection("S3_LAN")
| id: |
'S3_LAN', |
| title: |
'SENTINEL3 SRAL Level-2 LAN', |
| description: |
'LAN or SR_2_LAN___', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2016-02-16 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SRAL'
, 'SENTINEL'
, 'SENTINEL3'
, 'S3'
, 'S3A'
, 'S3B'
, 'L2'
, 'LAN'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL3', |
| instruments: |
['SRAL'
], |
| platform: |
'S3A,S3B', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'RADAR', |
|
|
154
Collection("S3_LAN_HY")
| id: |
'S3_LAN_HY', |
| title: |
'SENTINEL3 SRAL Level-2 LAN HYDRO', |
| description: |
'Sentinel-3 STM payload includes two main instruments: the Sentinel-3 Radar ALtimeter (SRAL) and a MicroWave
Radiometer (MWR). SRAL is providing continuous topography measurements of the Earth's surface. It is the first
radar altimeter operating exclusively with delay-Doppler capabilities, which provides a significant improvement of
the along-track resolution compared to conventional Low Resolution Mode (LRM) altimeters. This enhancement is
highly valuable over continental and sea ice surfaces, considering their heterogeneous characteristics.
ESA and the Sentinel-3 Mission Performance Cluster (MPC) have developed in 2021-2022 dedicated delay-Doppler and
Level-2 processing chains for the generation of new Sentinel-3 STM LAND level-2 products over inland waters,
sea-ice, and land ice areas. The main objective of these so-called “Thematic Products” is to address the specific
needs of the user communities related to the three different Thematic surfaces.
For Hydrology Thematic Products, the coverage includes all the continental surfaces, except the Antarctica ice
sheet, and Greenland ice sheet interior. Over coastal zones the 50 km common area between Land and Marine products
remains. Therefore, the Hydrology products cover up to 25 km over surfaces considered as Marine.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2016-02-16 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SRAL'
, 'SENTINEL'
, 'SENTINEL3'
, 'S3'
, 'S3A'
, 'S3B'
, 'L2'
, 'LAN'
, 'HYDROLOGY'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL3', |
| instruments: |
['SRAL'
], |
| platform: |
'S3A,S3B', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'RADAR', |
|
|
155
Collection("S3_LAN_LI")
| id: |
'S3_LAN_LI', |
| title: |
'SENTINEL3 SRAL Level-2 LAN LAND ICE', |
| description: |
'Sentinel-3 STM payload includes two main instruments: the Sentinel-3 Radar ALtimeter (SRAL) and a MicroWave
Radiometer (MWR). SRAL is providing continuous topography measurements of the Earth's surface. It is the first
radar altimeter operating exclusively with delay-Doppler capabilities, which provides a significant improvement of
the along-track resolution compared to conventional Low Resolution Mode (LRM) altimeters. This enhancement is
highly valuable over continental and sea ice surfaces, considering their heterogeneous characteristics.
ESA and the Sentinel-3 Mission Performance Cluster (MPC) have developed in 2021-2022 dedicated delay-Doppler and
Level-2 processing chains for the generation of new Sentinel-3 STM LAND level-2 products over inland waters,
sea-ice, and land ice areas. The main objective of these so-called “Thematic Products” is to address the specific
needs of the user communities related to the three different Thematic surfaces.
Each Sentinel-3 STM Land Thematic Product has a dedicated geographical coverage, defined in a Thematic Mask. For
Land Ice Thematic Products, the mask includes the Antarctica and Greenland ice sheets, along with glacier areas as
defined in the Randolph Glacier Inventory (RGI) database.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2016-02-16 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SRAL'
, 'SENTINEL'
, 'SENTINEL3'
, 'S3'
, 'S3A'
, 'S3B'
, 'L2'
, 'LAN'
, 'LAND'
, 'ICE'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL3', |
| instruments: |
['SRAL'
], |
| platform: |
'S3A,S3B', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'RADAR', |
|
|
156
Collection("S3_LAN_SI")
| id: |
'S3_LAN_SI', |
| title: |
'SENTINEL3 SRAL Level-2 LAN SEA ICE', |
| description: |
'Sentinel-3 STM payload includes two main instruments: the Sentinel-3 Radar ALtimeter (SRAL) and a MicroWave
Radiometer (MWR). SRAL is providing continuous topography measurements of the Earth's surface. It is the first
radar altimeter operating exclusively with delay-Doppler capabilities, which provides a significant improvement of
the along-track resolution compared to conventional Low Resolution Mode (LRM) altimeters. This enhancement is
highly valuable over continental and sea ice surfaces, considering their heterogeneous characteristics.
ESA and the Sentinel-3 Mission Performance Cluster (MPC) have developed in 2021-2022 dedicated delay-Doppler and
Level-2 processing chains for the generation of new Sentinel-3 STM LAND level-2 products over inland waters,
sea-ice, and land ice areas. The main objective of these so-called “Thematic Products” is to address the specific
needs of the user communities related to the three different Thematic surfaces.
Each Sentinel-3 STM Land Thematic Product has a dedicated geographical coverage, defined in a Thematic Mask. For Sea
Ice Thematic Products, the mask remains static, and the coverage was calculated by the Expert Support
Laboratories (ESL) of the Sentinel-3 MPC, based on the maximum of sea ice extent given a NSIDC sea ice climatology.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2016-02-16 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SRAL'
, 'SENTINEL'
, 'SENTINEL3'
, 'S3'
, 'S3A'
, 'S3B'
, 'L2'
, 'LAN'
, 'SEA'
, 'ICE'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL3', |
| instruments: |
['SRAL'
], |
| platform: |
'S3A,S3B', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'RADAR', |
|
|
157
Collection("S3_OLCI_L2LFR")
| id: |
'S3_OLCI_L2LFR', |
| title: |
'SENTINEL3 OLCI Level-2 Land Full Resolution', |
| description: |
'The OLCI Level-2 Land Full Resolution (OL_2_LFR) products contain land and atmospheric geophysical products at Full
resolution with a spatial sampling of approximately 300 m. The products are assumed to be computed in Near Real
Time (NRT) (i.e. delivered to users less than 3 hours after acquisition), in Non-Time Critical (NTC) (i.e.
within 1 month after acquisition) or in re-processed NTC.
Details at https://sentinel.esa.int/web/sentinel/user-guides/sentinel-3-olci/product-types/level-2-land
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2016-02-16 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['OLCI'
, 'SENTINEL'
, 'SENTINEL3'
, 'S3'
, 'S3A'
, 'S3B'
, 'L2'
, 'L2LFR'
, 'LFR'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL3', |
| instruments: |
['OLCI'
], |
| platform: |
'S3A,S3B', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'OPTICAL', |
|
|
158
Collection("S3_OLCI_L2LRR")
| id: |
'S3_OLCI_L2LRR', |
| title: |
'SENTINEL3 OLCI Level-2 Land Reduced Resolution', |
| description: |
'The OLCI Level-2 Land Reduced Resolution (OL_2_LRR) products contain land and atmospheric geophysical products
at Reduced resolution with a spatial sampling of approximately 1.2 km. The products are assumed to be computed
in Near Real Time (NRT) (i.e. delivered to users less than 3 hours after acquisition), in Non-Time Critical
(NTC) (i.e. within 1 month after acquisition) or in re-processed NTC.
Details at https://sentinel.esa.int/web/sentinel/user-guides/sentinel-3-olci/product-types/level-2-land
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2016-02-16 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['OLCI'
, 'SENTINEL'
, 'SENTINEL3'
, 'S3'
, 'S3A'
, 'S3B'
, 'L2'
, 'L2LRR'
, 'LRR'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL3', |
| instruments: |
['OLCI'
], |
| platform: |
'S3A,S3B', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'OPTICAL', |
|
|
159
Collection("S3_OLCI_L2WFR")
| id: |
'S3_OLCI_L2WFR', |
| title: |
'SENTINEL3 OLCI Level-2 Water Full Resolution', |
| description: |
'The OLCI Level-2 Water Full Resolution (OL_2_WFR) products contain water and atmospheric geophysical products at Full
resolution with a spatial sampling of approximately 300 m. The products are assumed to be computed in Near Real
Time (NRT) (i.e. delivered to users less than 3 hours after acquisition), in Non-Time Critical (NTC) (i.e.
within 1 month after acquisition) or in re-processed NTC.
Details at https://sentinel.esa.int/web/sentinel/user-guides/sentinel-3-olci/product-types/level-2-water
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2016-02-16 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['OLCI'
, 'SENTINEL'
, 'SENTINEL3'
, 'S3'
, 'S3A'
, 'S3B'
, 'L2'
, 'L2WFR'
, 'WFR'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL3', |
| instruments: |
['OLCI'
], |
| platform: |
'S3A,S3B', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'OPTICAL', |
|
|
160
Collection("S3_OLCI_L2WFR_BC003")
| id: |
'S3_OLCI_L2WFR_BC003', |
| title: |
'SENTINEL3 OLCI Level-2 Water Full Resolution Reprocessed from BC003', |
| description: |
'OLCI Level 2 Marine products provide spectral information on the colour of the oceans (water reflectances). These
radiometric products are used to estimate geophysical parameters e.g. estimates of phytoplankton biomass through
determining the Chlorophyll-a (Chl) concentration. In coastal areas, they also allow monitoring of the sediment
load via the Total Suspended Matter (TSM) product. Full resolution products are at a nominal 300m resolution. This
collection contains reprocessed data from baseline collection 003. Operational data can be found in the
corresponding collection.
Details at https://sentinel.esa.int/web/sentinel/user-guides/sentinel-3-olci/product-types/level-2-water
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2016-02-16 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['OLCI'
, 'SENTINEL'
, 'SENTINEL3'
, 'S3'
, 'S3A'
, 'S3B'
, 'L2'
, 'L2WFR'
, 'WFR'
, 'REPROCESSED'
, 'BC003'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL3', |
| instruments: |
['OLCI'
], |
| platform: |
'S3A,S3B', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'OPTICAL', |
|
|
161
Collection("S3_OLCI_L2WRR")
| id: |
'S3_OLCI_L2WRR', |
| title: |
'SENTINEL3 OLCI Level-2 Water Reduced Resolution', |
| description: |
'The OLCI Level-2 Water Reduced Resolution (OL_2_WRR) products contain water and atmospheric geophysical products
at Reduced resolution with a spatial sampling of approximately 1.2 km. The products are assumed to be computed
in Near Real Time (NRT) (i.e. delivered to users less than 3 hours after acquisition), in Non-Time Critical
(NTC) (i.e. within 1 month after acquisition) or in re-processed NTC.
Details at https://sentinel.esa.int/web/sentinel/user-guides/sentinel-3-olci/product-types/level-2-water
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2016-02-16 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['OLCI'
, 'SENTINEL'
, 'SENTINEL3'
, 'S3'
, 'S3A'
, 'S3B'
, 'L2'
, 'L2WRR'
, 'WRR'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL3', |
| instruments: |
['OLCI'
], |
| platform: |
'S3A,S3B', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'OPTICAL', |
|
|
162
Collection("S3_OLCI_L2WRR_BC003")
| id: |
'S3_OLCI_L2WRR_BC003', |
| title: |
'SENTINEL3 OLCI Level-2 Water Reduced Resolution Reprocessed from BC003', |
| description: |
'OLCI Level 2 Marine products provide spectral information on the colour of the oceans (water reflectances). These
radiometric products are used to estimate geophysical parameters e.g. estimates of phytoplankton biomass through
determining the Chlorophyll-a (Chl) concentration. In coastal areas, they also allow monitoring of the sediment
load via the Total Suspended Matter (TSM) product. Reduced resolution products are at a nominal 1km resolution.
This collection contains reprocessed data from baseline collection 003. Operational data can be found in the
corresponding collection.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2016-02-16 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['OLCI'
, 'SENTINEL'
, 'SENTINEL3'
, 'S3'
, 'S3A'
, 'S3B'
, 'L2'
, 'L2WRR'
, 'WRR'
, 'REPROCESSED'
, 'BC003'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL3', |
| instruments: |
['OLCI'
], |
| platform: |
'S3A,S3B', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'OPTICAL', |
|
|
163
Collection("S3_OL_2_WFRBC003")
| id: |
'S3_OL_2_WFRBC003', |
| title: |
'OLCI Level 2 Ocean Colour Full Resolution (version BC003) - Sentinel-3 - Reprocessed', |
| description: |
'OLCI Level 2 Marine products provide spectral information on the colour of the oceans (water reflectances).
These radiometric products are used to estimate geophysical parameters e.g. estimates of phytoplankton biomass
through determining the Chlorophyll-a (Chl) concentration. In coastal areas, they also allow monitoring of
the sediment load via the Total Suspended Matter (TSM) product. Full resolution products are at a nominal
300m resolution. This collection contains reprocessed data from baseline collection 003. Operational data
can be found in the corresponding collection.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2016-04-25 00:00:00+00:00
, 2021-04-28 00:00:00+00:00
]
]
}
}, |
| keywords: |
['OLCI'
, 'SENTINEL'
, 'SENTINEL3'
, 'S3'
, 'S3A'
, 'S3B'
, 'L2'
, 'Radiation'
, 'Ocean'
, 'Ocean Colour'
], |
| license: |
'proprietary', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL3', |
| instruments: |
['OLCI'
], |
| platform: |
'S3A,S3B', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'OPTICAL', |
|
|
164
Collection("S3_RAC")
| id: |
'S3_RAC', |
| title: |
'SENTINEL3 RAC', |
| description: |
'Sentinel 3 OLCI products output during Radiometric Calibration mode
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2016-02-16 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['OLCI'
, 'SENTINEL'
, 'SENTINEL3'
, 'S3'
, 'S3A'
, 'S3B'
, 'L1'
, 'L2'
, 'RAC'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL3', |
| instruments: |
['OLCI'
], |
| platform: |
'S3A,S3B', |
| processing:level: |
'L1', |
| eodag:sensor_type: |
'OPTICAL', |
|
|
165
Collection("S3_SLSTR_L1RBT")
| id: |
'S3_SLSTR_L1RBT', |
| title: |
'SENTINEL3 SLSTR Level-1', |
| description: |
'SLSTR Level-1 observation mode products consisting of full resolution,
geolocated, co-located nadir and along track view, Top of Atmosphere
(TOA) brightness temperatures (in the case of thermal IR channels) or
radiances (in the case of visible, NIR and SWIR channels) from all
SLSTR channels, and quality flags, pixel classification information
and meteorological annotations
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2016-02-16 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SLSTR'
, 'SENTINEL'
, 'SENTINEL3'
, 'S3'
, 'S3A'
, 'S3B'
, 'L1'
, 'L1RBT'
, 'RBT'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL3', |
| instruments: |
['SLSTR'
], |
| platform: |
'S3A,S3B', |
| processing:level: |
'L1', |
| eodag:sensor_type: |
'ATMOSPHERIC', |
|
|
166
Collection("S3_SLSTR_L1RBT_BC003")
| id: |
'S3_SLSTR_L1RBT_BC003', |
| title: |
'SLSTR Level 1B Radiances and Brightness Temperatures (version BC003) - Sentinel-3 - Reprocessed', |
| description: |
'The SLSTR level 1 products contain: the radiances of the 6 visible (VIS), Near Infra-Red (NIR) and
Short Wave Infra-Red (SWIR) bands (on the A and B stripe grids); the Brightness Temperature (BT) for
the 3 Thermal Infra-Red (TIR) bands; the BT for the 2 Fire (FIR) bands. Resolution: 1km at nadir (TIR),
500m (VIS). All are provided for both the oblique and nadir view. These measurements are accompanied
with grid and time information, quality flags, error estimates and meteorological auxiliary data.
Sentinel-3 is part of a series of Sentinel satellites, under the umbrella of the EU Copernicus programme.
This collection contains reprocessed data from baseline collection 003. Operational data can be found
in the corresponding collection.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2016-04-19 00:00:00+00:00
, 2018-04-04 00:00:00+00:00
]
]
}
}, |
| keywords: |
['SLSTR'
, 'SENTINEL'
, 'SENTINEL3'
, 'S3'
, 'S3A'
, 'S3B'
, 'L1'
, 'L1RBT'
, 'RBT'
, 'VIS'
, 'NIR'
, 'SWIR'
, 'BT'
, 'TIR'
, 'FIR'
, 'Reprocessed'
, 'BC003'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL3', |
| instruments: |
['SLSTR'
], |
| platform: |
'S3A,S3B', |
| processing:level: |
'L1', |
| eodag:sensor_type: |
'ATMOSPHERIC', |
|
|
167
Collection("S3_SLSTR_L1RBT_BC004")
| id: |
'S3_SLSTR_L1RBT_BC004', |
| title: |
'SENTINEL3 SLSTR Level-1 RBT - Reprocessed from BC004', |
| description: |
'SLSTR Level 1B Radiances and Brightness Temperatures (version BC004) - Sentinel 3 - Reprocessed
The SLSTR level 1 products contain: the radiances of the 6 visible (VIS), Near Infra-Red (NIR) and Short Wave
Infra-Red (SWIR) bands (on the A and B stripe grids); the Brightness Temperature (BT) for the 3 Thermal Infra-Red
(TIR) bands; the BT for the 2 Fire (FIR) bands. Resolution: 1km at nadir (TIR), 500m (VIS). All are provided for
both the oblique and nadir view. These measurements are accompanied with grid and time information, quality flags,
error estimates and meteorological auxiliary data. Sentinel-3 is part of a series of Sentinel satellites, under the
umbrella of the EU Copernicus programme. This collection contains reprocessed data from baseline collection 004.
Operational data can be found in the corresponding collection.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2018-05-09 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SLSTR'
, 'SENTINEL'
, 'SENTINEL3'
, 'S3'
, 'S3A'
, 'S3B'
, 'L1'
, 'L1RBT'
, 'RBT'
, 'VIS'
, 'NIR'
, 'SWIR'
, 'BT'
, 'TIR'
, 'FIR'
, 'Reprocessed'
, 'BC004'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL3', |
| instruments: |
['SLSTR'
], |
| platform: |
'S3A,S3B', |
| processing:level: |
'L1', |
| eodag:sensor_type: |
'ATMOSPHERIC', |
|
|
168
Collection("S3_SLSTR_L2AOD")
| id: |
'S3_SLSTR_L2AOD', |
| title: |
'SENTINEL3 SLSTR Level-2 AOD', |
| description: |
'The Copernicus NRT S3 AOD processor quantifies the abundance of aerosol particles and monitors their global
distribution and long-range transport, at the scale of 9.5 x 9.5 km2. All observations are made available in
less than three hours from the SLSTR observation sensing time. It is only applicable during daytime.
NOTE: The SLSTR L2 AOD product is generated by EUMETSAT in NRT only. An offline (NTC) AOD product is generated
from SYN data by ESA, exploiting the synergy between the SLSTR and OLCI instruments.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2016-02-16 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SLSTR'
, 'SENTINEL'
, 'SENTINEL3'
, 'S3'
, 'S3A'
, 'S3B'
, 'L2'
, 'L2AOD'
, 'AOD'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL3', |
| instruments: |
['SLSTR'
], |
| platform: |
'S3A,S3B', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'ATMOSPHERIC', |
|
|
169
Collection("S3_SLSTR_L2FRP")
| id: |
'S3_SLSTR_L2FRP', |
| title: |
'SENTINEL3 SLSTR Level-2 FRP', |
| description: |
'The SLSTR Level-2 FRP product is providing one measurement data file, FRP_in.nc, with Fire Radiative Power (FRP)
values and associated parameters generated for each fire detected over land and projected on the SLSTR 1 km grid.
The fire detection is based on a mixed thermal band, combining S7 radiometric measurements and,
for pixels associated with a saturated value of S7 (i.e. above 311 K), F1 radiometric measurements.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2016-02-16 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SLSTR'
, 'SENTINEL'
, 'SENTINEL3'
, 'S3'
, 'S3A'
, 'S3B'
, 'L2'
, 'L2FRP'
, 'FRP'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL3', |
| instruments: |
['SLSTR'
], |
| platform: |
'S3A,S3B', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'ATMOSPHERIC', |
|
|
170
Collection("S3_SLSTR_L2LST")
| id: |
'S3_SLSTR_L2LST', |
| title: |
'SENTINEL3 SLSTR Level-2 LST', |
| description: |
'The SLSTR Level-2 LST product provides land surface parameters generated on the wide 1 km measurement grid.
It contains measurement file with Land Surface Temperature (LST) values with associated parameters (LST
parameters are computed and provided for each pixel (re-gridded or orphan) included in the 1 km measurement grid)
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2016-02-16 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SLSTR'
, 'SENTINEL'
, 'SENTINEL3'
, 'S3'
, 'S3A'
, 'S3B'
, 'L2'
, 'L2LST'
, 'LST'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL3', |
| instruments: |
['SLSTR'
], |
| platform: |
'S3A,S3B', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'ATMOSPHERIC', |
|
|
171
Collection("S3_SLSTR_L2WST")
| id: |
'S3_SLSTR_L2WST', |
| title: |
'SENTINEL3 SLSTR Level-2 WST', |
| description: |
'The SLSTR Level-2 WST product provides water surface parameters generated on the wide 1 km measurement grid.
It contains measurement file with Water Surface Temperature (WST) values with associated parameters (WST
parameters are computed and provided for each pixel (re-gridded or orphan) included in the 1 km measurement grid)
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2016-02-16 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SLSTR'
, 'SENTINEL'
, 'SENTINEL3'
, 'S3'
, 'S3A'
, 'S3B'
, 'L2'
, 'L2WST'
, 'WST'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL3', |
| instruments: |
['SLSTR'
], |
| platform: |
'S3A,S3B', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'ATMOSPHERIC', |
|
|
172
Collection("S3_SLSTR_L2WST_BC003")
| id: |
'S3_SLSTR_L2WST_BC003', |
| title: |
'SENTINEL3 SLSTR Level-2 WST Reprocessed from BC003', |
| description: |
'The SLSTR SST has a spatial resolution of 1km at nadir. Skin Sea Surface Temperature following the
GHRSST L2P GDS2 format specification, see https://www.ghrsst.org/ . Sentinel-3 is part of a series of Sentinel
satellites, under the umbrella of the EU Copernicus programme. This collection contains reprocessed data from
baseline collection 003. Operational data can be found in the corresponding collection.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2016-04-18 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SLSTR'
, 'SENTINEL'
, 'SENTINEL3'
, 'S3'
, 'S3A'
, 'S3B'
, 'L2'
, 'L2WST'
, 'WST'
, 'REPROCESSED'
, 'BC003'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL3', |
| instruments: |
['SLSTR'
], |
| platform: |
'S3A,S3B', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'ATMOSPHERIC', |
|
|
173
Collection("S3_SRA")
| id: |
'S3_SRA', |
| title: |
'SENTINEL3 SRAL Level-1', |
| description: |
'SRAL Level 1B: Complex echoes (In-phase (I) and Quadrature (Q)) for the Low Resolution Mode (LRM) and/or
Synthetic Aperture Radar (SAR) mode both for C Band and Ku band. When the altimeter is in SAR mode, this product
also contains the so-called Pseudo LRM (PLRM) echoes. - All Sentinel-3 Near Real Time (NRT) products are available
at pick-up point in less than 3h. - All Sentinel-3 Non Time Critical (NTC) products are available at pick-up point
in less than 30 days. - All Sentinel-3 Short Time Critical (STC) products are available at pick-up point in less
than 48 hours. Sentinel-3 is part of a series of Sentinel satellites, under the umbrella of the EU Copernicus programme.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2016-02-16 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SRA'
, 'SRAL'
, 'SENTINEL'
, 'SENTINEL3'
, 'S3'
, 'S3A'
, 'S3B'
, 'L1'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL3', |
| instruments: |
['SRAL'
], |
| platform: |
'S3A,S3B', |
| processing:level: |
'L1', |
| eodag:sensor_type: |
'RADAR', |
|
|
174
Collection("S3_SRA_1A_BC004")
| id: |
'S3_SRA_1A_BC004', |
| title: |
'SENTINEL3 SRAL Level-1A Unpacked - Reprocessed from BC004', |
| description: |
'SRAL Level 1A Unpacked L0 Complex Echoes (version BC004) - Sentinel-3 - Reprocessed
Fundamental science and engineering product development supporting operational users. This product is most
relevant to SAR processing specialists allowing fundamental studies on SAR processing such as Doppler beam
formation and for calibration studies using ground-based Transponders. Sentinel-3 is part of a series of Sentinel
satellites, under the umbrella of the EU Copernicus programme. This collection contains reprocessed data from
baseline collection 004. Operational data can be found in the corresponding collection.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2016-03-01 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SRA'
, 'SRAL'
, 'SENTINEL'
, 'SENTINEL3'
, 'S3'
, 'S3A'
, 'S3B'
, 'L1'
, 'L1A'
, 'REPROCESSED'
, 'BC004'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL3', |
| instruments: |
['SRAL'
], |
| platform: |
'S3A,S3B', |
| processing:level: |
'L1A', |
| eodag:sensor_type: |
'RADAR', |
|
|
175
Collection("S3_SRA_1A_BC005")
| id: |
'S3_SRA_1A_BC005', |
| title: |
'SRAL Level 1A Unpacked L0 Complex Echoes (version BC005) - Sentinel-3 - Reprocessed', |
| description: |
'Fundamental science and engineering product development supporting operational users. This product is most relevant
to SAR processing specialists allowing fundamental studies on SAR processing such as Doppler beam formation and for
calibration studies using ground-based Transponders. Sentinel-3 is part of a series of Sentinel satellites, under
the umbrella of the EU Copernicus programme. This dataset contains reprocessed data from Baseline Collection 005,
and is continued by the operational NTC data stream from 10/Mar/2023 onwards.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2016-05-05 00:00:00+00:00
, 2023-03-09 00:00:00+00:00
]
]
}
}, |
| keywords: |
['SRA'
, 'SRAL'
, 'SENTINEL'
, 'SENTINEL3'
, 'S3'
, 'S3A'
, 'S3B'
, 'L1'
, 'L1A'
, 'REPROCESSED'
, 'BC005'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL3', |
| instruments: |
['SRAL'
], |
| platform: |
'S3A,S3B', |
| processing:level: |
'L1A', |
| eodag:sensor_type: |
'RADAR', |
|
|
176
Collection("S3_SRA_1B_BC004")
| id: |
'S3_SRA_1B_BC004', |
| title: |
'SENTINEL3 SRAL Level-1B - Reprocessed from BC004', |
| description: |
'SRAL Level 1B (version BC004) - Sentinel-3 - Reprocessed
SRAL Level 1B: Complex echoes (In-phase (I) and Quadrature (Q)) for the Low Resolution Mode (LRM) and/or
Synthetic Aperture Radar (SAR) mode both for C Band and Ku band. When the altimeter is in SAR mode, this product
also contains the so-called Pseudo LRM (PLRM) echoes. Sentinel-3 is part of a series of Sentinel satellites, under
the umbrella of the EU Copernicus programme. This collection contains reprocessed data from baseline collection 004.
Operational data can be found in the corresponding collection.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2016-03-01 00:00:00+00:00
, 2019-12-31 00:00:00+00:00
]
]
}
}, |
| keywords: |
['SRA'
, 'SRAL'
, 'SENTINEL'
, 'SENTINEL3'
, 'S3'
, 'S3A'
, 'S3B'
, 'L1'
, 'L1B'
, 'REPROCESSED'
, 'BC004'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL3', |
| instruments: |
['SRAL'
], |
| platform: |
'S3A,S3B', |
| processing:level: |
'L1B', |
| eodag:sensor_type: |
'RADAR', |
|
|
177
Collection("S3_SRA_1B_BC005")
| id: |
'S3_SRA_1B_BC005', |
| title: |
'SRAL Level 1B (version BC005) - Sentinel-3 - Reprocessed', |
| description: |
'SRAL Level 1B: Complex echoes (In-phase (I) and Quadrature (Q)) for the Low Resolution Mode (LRM) and/or Synthetic
Aperture Radar (SAR) mode both for C Band and Ku band. When the altimeter is in SAR mode, this product also contains
the so-called Pseudo LRM (PLRM) echoes. Sentinel-3 is part of a series of Sentinel satellites, under the umbrella
of the EU Copernicus programme. This dataset contains reprocessed data from Baseline Collection 005, and is continued
by the operational NTC data stream from 10/Mar/2023 onwards.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2016-05-05 00:00:00+00:00
, 2023-03-09 00:00:00+00:00
]
]
}
}, |
| keywords: |
['SRA'
, 'SRAL'
, 'SENTINEL'
, 'SENTINEL3'
, 'S3'
, 'S3A'
, 'S3B'
, 'L1'
, 'L1B'
, 'REPROCESSED'
, 'BC005'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL3', |
| instruments: |
['SRAL'
], |
| platform: |
'S3A,S3B', |
| processing:level: |
'L1B', |
| eodag:sensor_type: |
'RADAR', |
|
|
178
Collection("S3_SRA_A")
| id: |
'S3_SRA_A', |
| title: |
'SENTINEL3 SRAL Level-1 SRA_A', |
| description: |
'A Level 1A SRAL product contains one "measurement data file" containing the L1A measurements parameters:
ECHO_SAR_Ku: L1A Tracking measurements (sorted and calibrated) in SAR mode - Ku-band (80-Hz)
ECHO_PLRM: L1A Tracking measurements (sorted and calibrated) in pseudo-LRM mode - Ku and C bands (80-Hz)
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2016-02-16 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SRA'
, 'SRAL'
, 'SENTINEL'
, 'SENTINEL3'
, 'S3'
, 'S3A'
, 'S3B'
, 'L1'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL3', |
| instruments: |
['SRAL'
], |
| platform: |
'S3A,S3B', |
| processing:level: |
'L1', |
| eodag:sensor_type: |
'RADAR', |
|
|
179
Collection("S3_SRA_BS")
| id: |
'S3_SRA_BS', |
| title: |
'SENTINEL3 SRAL Level-1 SRA_BS', |
| description: |
'A Level 1B-S SRAL product contains one "measurement data file" containing the L1b measurements parameters:
ECHO_SAR_Ku : L1b Tracking measurements in SAR mode - Ku band (20-Hz) as defined in the L1b MEAS product
completed with SAR expert information
ECHO_PLRM : L1b Tracking measurements in pseudo-LRM mode - Ku and C bands (20-Hz) as defined in the L1b
MEAS product
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2016-02-16 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SRA'
, 'SRAL'
, 'SENTINEL'
, 'SENTINEL3'
, 'S3'
, 'S3A'
, 'S3B'
, 'L1'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL3', |
| instruments: |
['SRAL'
], |
| platform: |
'S3A,S3B', |
| processing:level: |
'L1', |
| eodag:sensor_type: |
'RADAR', |
|
|
180
Collection("S3_SRA_BS_BC004")
| id: |
'S3_SRA_BS_BC004', |
| title: |
'SENTINEL3 SRAL Level-1B Stack Echoes - Reprocessed from BC004', |
| description: |
'SRAL Level 1B Stack Echoes (version BC004) - Sentinel-3 - Reprocessed
SRAL Level 1B: Complex echoes (In-phase (I) and Quadrature (Q)) for the Low Resolution Mode (LRM) and/or Synthetic
Aperture Radar (SAR) mode both for C Band and Ku band. When the altimeter is in SAR mode, this product also
contains the so-called Pseudo LRM (PLRM) echoes. Complex (In-phase and Quadrature) echoes (I's and Q;s) after
slant/Doppler range correction. This product is most relevant to geophysical retrieval algorithm developers
(over ocean, land and ice surfaces), surface characterisations studies (e.g. impact of sea state bias, wave
directional effects etc) and Quality Control systems. Sentinel-3 is part of a series of Sentinel satellites, under
the umbrella of the EU Copernicus programme. This collection contains reprocessed data from baseline collection 004.
Operational data can be found in the corresponding collection.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2016-03-01 00:00:00+00:00
, 2019-12-31 00:00:00+00:00
]
]
}
}, |
| keywords: |
['SRA'
, 'SRAL'
, 'SENTINEL'
, 'SENTINEL3'
, 'S3'
, 'S3A'
, 'S3B'
, 'L1'
, 'L1B'
, 'REPROCESSED'
, 'STACK'
, 'ECHOES'
, 'BC004'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL3', |
| instruments: |
['SRAL'
], |
| platform: |
'S3A,S3B', |
| processing:level: |
'L1B', |
| eodag:sensor_type: |
'RADAR', |
|
|
181
Collection("S3_SRA_BS_BC005")
| id: |
'S3_SRA_BS_BC005', |
| title: |
'SRAL Level 1B Stack Echoes (version BC005) - Sentinel-3 - Reprocessed', |
| description: |
'SRAL Level 1B: Complex echoes (In-phase (I) and Quadrature (Q)) for the Low Resolution Mode (LRM) and/or Synthetic
Aperture Radar (SAR) mode both for C Band and Ku band. When the altimeter is in SAR mode, this product also
contains the so-called Pseudo LRM (PLRM) echoes. Complex (In-phase and Quadrature) echoes (I's and Q;s) after
slant/Doppler range correction. This product is most relevant to geophysical retrieval algorithm developers
(over ocean, land and ice surfaces), surface characterisations studies (e.g. impact of sea state bias, wave
directional effects etc) and Quality Control systems. Sentinel-3 is part of a series of Sentinel satellites, under
the umbrella of the EU Copernicus programme. This dataset contains reprocessed data from Baseline Collection 005,
and is continued by the operational NTC data stream from 10/Mar/2023 onwards.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2016-05-05 00:00:00+00:00
, 2023-03-09 00:00:00+00:00
]
]
}
}, |
| keywords: |
['SRA'
, 'SRAL'
, 'SENTINEL'
, 'SENTINEL3'
, 'S3'
, 'S3A'
, 'S3B'
, 'L1'
, 'L1B'
, 'REPROCESSED'
, 'STACK'
, 'ECHOES'
, 'BC005'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL3', |
| instruments: |
['SRAL'
], |
| platform: |
'S3A,S3B', |
| processing:level: |
'L1B', |
| eodag:sensor_type: |
'RADAR', |
|
|
182
Collection("S3_SY_AOD")
| id: |
'S3_SY_AOD', |
| title: |
'SENTINEL3 SYNERGY Level-2 AOD', |
| description: |
'The Level-2 SYN AOD product (SY_2_AOD) is produced by a dedicated processor including the whole
SYN L1 processing module and a global synergy level 2 processing module retrieving, over land and
sea, aerosol optical thickness. The resolution of this product is wider than classic S3 products,
as the dataset are provided on a 4.5 km² resolution
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2016-02-16 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SYNERGY'
, 'SY'
, 'SENTINEL'
, 'SENTINEL3'
, 'S3'
, 'S3A'
, 'S3B'
, 'L2'
, 'AOD'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL3', |
| instruments: |
['SYNERGY'
], |
| platform: |
'S3A,S3B', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'OPTICAL,RADAR', |
|
|
183
Collection("S3_SY_SYN")
| id: |
'S3_SY_SYN', |
| title: |
'SENTINEL3 SYNERGY Level-2 SYN', |
| description: |
'The Level-2 SYN product (SY_2_SYN) is produced by the Synergy Level-1/2 SDR software and contains
surface reflectance and aerosol parameters over land. All measurement datasets are provided on the
OLCI image grid, similar to the one included in the OLCI L1b product.
Some sub-sampled annotations and atmospheric datasets are provided on the OLCI tie-points grid.
Several associated variables are also provided in annotation data files.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2016-02-16 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SYNERGY'
, 'SY'
, 'SENTINEL'
, 'SENTINEL3'
, 'S3'
, 'S3A'
, 'S3B'
, 'L2'
, 'SYN'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL3', |
| instruments: |
['SYNERGY'
], |
| platform: |
'S3A,S3B', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'OPTICAL,RADAR', |
|
|
184
Collection("S3_SY_V10")
| id: |
'S3_SY_V10', |
| title: |
'SENTINEL3 SYNERGY Level-2 V10', |
| description: |
'The Level-2 VG1 and V10 SYN products (SY_2_VG1 and SY_2_V10 respectively) are produced by the
SYNERGY Level-2 processor and contain 1 km VEGETATION-like product, 1 and 10 days synthesis surface
reflectances and NDVI. The product grid and the four spectral bands are similar to the SYN Level-2
VGP product.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2016-02-16 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SYNERGY'
, 'SY'
, 'SENTINEL'
, 'SENTINEL3'
, 'S3'
, 'S3A'
, 'S3B'
, 'L2'
, 'V10'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL3', |
| instruments: |
['SYNERGY'
], |
| platform: |
'S3A,S3B', |
| processing:level: |
'L2W', |
| eodag:sensor_type: |
'OPTICAL,RADAR', |
|
|
185
Collection("S3_SY_VG1")
| id: |
'S3_SY_VG1', |
| title: |
'SENTINEL3 SYNERGY Level-2 VG1', |
| description: |
'The Level-2 VG1 and V10 SYN products (SY_2_VG1 and SY_2_V10 respectively) are produced by the
SYNERGY Level-2 processor and contain 1 km VEGETATION-like product, 1 and 10 days synthesis surface
reflectances and NDVI. The product grid and the four spectral bands are similar to the SYN Level-2
VGP product.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2016-02-16 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SYNERGY'
, 'SY'
, 'SENTINEL'
, 'SENTINEL3'
, 'S3'
, 'S3A'
, 'S3B'
, 'L2'
, 'VG1'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL3', |
| instruments: |
['SYNERGY'
], |
| platform: |
'S3A,S3B', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'OPTICAL,RADAR', |
|
|
186
Collection("S3_SY_VGP")
| id: |
'S3_SY_VGP', |
| title: |
'SENTINEL3 SYNERGY Level-2 VGP', |
| description: |
'The Level-2 VGP SYN product (SY_2_VGP) is produced by the Global Synergy Level-1/2 software and
contains 1 km VEGETATION-like product TOA reflectances. The "1 km VEGETATION-like product" label
means that measurements are provided on a regular latitude-longitude grid, with an equatorial
sampling distance of approximately 1 km. This product is restricted in longitude, including only filled ones.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2016-02-16 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SYNERGY'
, 'SY'
, 'SENTINEL'
, 'SENTINEL3'
, 'S3'
, 'S3A'
, 'S3B'
, 'L2'
, 'VGP'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL3', |
| instruments: |
['SYNERGY'
], |
| platform: |
'S3A,S3B', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'OPTICAL,RADAR', |
|
|
187
Collection("S3_WAT")
| id: |
'S3_WAT', |
| title: |
'SENTINEL3 SRAL Level-2 WAT', |
| description: |
'The products contain the typical altimetry measurements, like the altimeter range, the sea surface height, the wind
speed, significant wave height and all required geophysical corrections and related flags. Also the sea Ice
freeboard measurement is included. The measurements in the standard data file provide the measurements in low
(1 Hz = approx. 7km) and high resolution (20 Hz = approx. 300 m), in LRM mode or in SAR mode, for both C-band and
Ku band. The SAR mode is the default mode. The reduced measurement data file contains 1 Hz measurements only. The
enhanced measurement data file contains also the waveforms and associated parameters and the pseudo LRM measurements
when in SAR mode. This product contains the following datasets: Sea Level Global(NRT) (PDS_MG3_CORE_14_GLONRT),
Sea Level Global Reduced(NRT)(PDS_MG3_CORE_14_GLONRT_RD), Sea Level Global Standard(NRT) (PDS_MG3_CORE_14_GLONRT_SD),
Sea Level Global Enhanced(NRT) (PDS_MG3_CORE_14_GLONRT_EN) - All Sentinel-3 NRT products are available at pick-up
point in less than 3h. - All Sentinel-3 Non Time Critical (NTC) products are available at pick-up point in less
than 30 days - All Sentinel-3 Short Time Critical (STC) products are available at pick-up point in less than 48
hours Sentinel-3 is part of a series of Sentinel satellites, under the umbrella of the EU Copernicus programme.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2016-02-16 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SRAL'
, 'SENTINEL'
, 'SENTINEL3'
, 'S3'
, 'S3A'
, 'S3B'
, 'L2'
, 'WAT'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL3', |
| instruments: |
['SRAL'
], |
| platform: |
'S3A,S3B', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'RADAR', |
|
|
188
Collection("S3_WAT_BC004")
| id: |
'S3_WAT_BC004', |
| title: |
'SRAL Level 2 Altimetry Global - Reprocessed from BC004', |
| description: |
'The products contain the typical altimetry measurements, like the altimeter range, the sea surface height, the wind
speed, significant wave height and all required geophysical corrections and related flags. Also the sea Ice
freeboard measurement is included. The measurements in the standard data file provide the measurements in low
(1 Hz = approx. 7km) and high resolution (20 Hz = approx. 300 m), in LRM mode or in SAR mode, for both C-band and
Ku band. The SAR mode is the default mode. The reduced measurement data file contains 1 Hz measurements only. The
enhanced measurement data file contains also the waveforms and associated parameters and the pseudo LRM
measurements when in SAR mode. Sentinel-3 is part of a series of Sentinel satellites, under the umbrella of the EU
Copernicus programme. This collection contains reprocessed data from baseline collection 004. Operational data can
be found in the corresponding collection.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2016-03-01 00:00:00+00:00
, 2019-12-31 00:00:00+00:00
]
]
}
}, |
| keywords: |
['SRAL'
, 'SENTINEL'
, 'SENTINEL3'
, 'S3'
, 'S3A'
, 'S3B'
, 'L2'
, 'WAT'
, 'REPROCESSED'
, 'BC004'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL3', |
| instruments: |
['SRAL'
], |
| platform: |
'S3A,S3B', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'RADAR', |
|
|
189
Collection("S3_WAT_BC005")
| id: |
'S3_WAT_BC005', |
| title: |
'SRAL Level 2 Altimetry Global (version BC005) - Sentinel-3 - Reprocessed', |
| description: |
'The products contain the typical altimetry measurements, like the altimeter range, the sea surface height, the wind
speed, significant wave height and all required geophysical corrections and related flags. Also the sea Ice
freeboard measurement is included. The measurements in the standard data file provide the measurements in low
(1 Hz = approx. 7km) and high resolution (20 Hz = approx. 300 m), in LRM mode or in SAR mode, for both C-band and
Ku band. The SAR mode is the default mode. The reduced measurement data file contains 1 Hz measurements only. The
enhanced measurement data file contains also the waveforms and associated parameters and the pseudo LRM
measurements when in SAR mode. Sentinel-3 is part of a series of Sentinel satellites, under the umbrella of the EU
Copernicus programme. This collection contains reprocessed data from baseline collection 004. Operational data can
be found in the corresponding collection.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2016-05-05 00:00:00+00:00
, 2023-03-09 00:00:00+00:00
]
]
}
}, |
| keywords: |
['SRAL'
, 'SENTINEL'
, 'SENTINEL3'
, 'S3'
, 'S3A'
, 'S3B'
, 'L2'
, 'WAT'
, 'REPROCESSED'
, 'BC005'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL3', |
| instruments: |
['SRAL'
], |
| platform: |
'S3A,S3B', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'RADAR', |
|
|
190
Collection("S5P_L1B_IR_SIR")
| id: |
'S5P_L1B_IR_SIR', |
| title: |
'Sentinel-5 Precursor Level 1B Irradiances for the SWIR bands', |
| description: |
'Solar irradiance spectra for the SWIR bands (band 7 and band 8).
TROPOMI utilises a single telescope to form an image of the target area onto a rectangular slit that acts as the
entrance slit of the spectrometer system. There are four different spectrometers, each with its own optics and
detector: mediumwave ultraviolet (UV), longwave ultraviolet combined with visible (UVIS), near infrared (NIR), and
shortwave infrared (SWIR). The spectrometers for UV, UVIS and NIR are jointly referred to as UVN. Radiation for the
SWIR spectrometer is transferred by an optical relay part in the UVN system from the telescope to an interface
position (the pupil stop) for the SWIR spectrometer. This is done because of the more stringent thermal requirements
on the SWIR part of the instrument.
Each of the detectors is divided in two halves, which yields a total of eight spectral bands.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2017-10-13 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SENTINEL'
, 'SENTINEL5P'
, 'S5P'
, 'L1'
, 'L1B'
, 'TROPOMI'
, 'IR'
, 'SIR'
, 'SWIR'
, 'Irradiances'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL5P', |
| instruments: |
['TROPOMI'
], |
| platform: |
'S5P', |
| processing:level: |
'L1B', |
| eodag:sensor_type: |
'ATMOSPHERIC', |
|
|
191
Collection("S5P_L1B_IR_UVN")
| id: |
'S5P_L1B_IR_UVN', |
| title: |
'Sentinel-5 Precursor Level 1B Irradiances for the UVN bands', |
| description: |
'Solar irradiance spectra for the UVN bands (band 1 through band 6).
TROPOMI utilises a single telescope to form an image of the target area onto a rectangular slit that acts as the
entrance slit of the spectrometer system. There are four different spectrometers, each with its own optics and
detector: mediumwave ultraviolet (UV), longwave ultraviolet combined with visible (UVIS), near infrared (NIR), and
shortwave infrared (SWIR). The spectrometers for UV, UVIS and NIR are jointly referred to as UVN. Radiation for the
SWIR spectrometer is transferred by an optical relay part in the UVN system from the telescope to an interface
position (the pupil stop) for the SWIR spectrometer. This is done because of the more stringent thermal requirements
on the SWIR part of the instrument.
Each of the detectors is divided in two halves, which yields a total of eight spectral bands.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2017-10-13 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SENTINEL'
, 'SENTINEL5P'
, 'S5P'
, 'L1'
, 'L1B'
, 'TROPOMI'
, 'IR'
, 'UVN'
, 'Irradiances'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL5P', |
| instruments: |
['TROPOMI'
], |
| platform: |
'S5P', |
| processing:level: |
'L1B', |
| eodag:sensor_type: |
'ATMOSPHERIC', |
|
|
192
Collection("S5P_L1B_RA_BD1")
| id: |
'S5P_L1B_RA_BD1', |
| title: |
'Sentinel-5 Precursor Level 1B Radiances for spectral band 1', |
| description: |
'Sentinel-5 Precursor Level 1B Radiances for spectral band 1.
TROPOMI utilises a single telescope to form an image of the target area onto a rectangular slit that acts as the
entrance slit of the spectrometer system. There are four different spectrometers, each with its own optics and
detector: mediumwave ultraviolet (UV), longwave ultraviolet combined with visible (UVIS), near infrared (NIR), and
shortwave infrared (SWIR). The spectrometers for UV, UVIS and NIR are jointly referred to as UVN. Radiation for the
SWIR spectrometer is transferred by an optical relay part in the UVN system from the telescope to an interface
position (the pupil stop) for the SWIR spectrometer. This is done because of the more stringent thermal requirements
on the SWIR part of the instrument.
Each of the detectors is divided in two halves, which yields a total of eight spectral bands.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2017-10-13 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SENTINEL'
, 'SENTINEL5P'
, 'S5P'
, 'L1'
, 'L1B'
, 'TROPOMI'
, 'RA'
, 'Radiances'
, 'BD1'
, 'BAND1'
, 'B01'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL5P', |
| instruments: |
['TROPOMI'
], |
| platform: |
'S5P', |
| processing:level: |
'L1B', |
| eodag:sensor_type: |
'ATMOSPHERIC', |
|
|
193
Collection("S5P_L1B_RA_BD2")
| id: |
'S5P_L1B_RA_BD2', |
| title: |
'Sentinel-5 Precursor Level 1B Radiances for spectral band 2', |
| description: |
'Sentinel-5 Precursor Level 1B Radiances for spectral band 2.
TROPOMI utilises a single telescope to form an image of the target area onto a rectangular slit that acts as the
entrance slit of the spectrometer system. There are four different spectrometers, each with its own optics and
detector: mediumwave ultraviolet (UV), longwave ultraviolet combined with visible (UVIS), near infrared (NIR), and
shortwave infrared (SWIR). The spectrometers for UV, UVIS and NIR are jointly referred to as UVN. Radiation for the
SWIR spectrometer is transferred by an optical relay part in the UVN system from the telescope to an interface
position (the pupil stop) for the SWIR spectrometer. This is done because of the more stringent thermal requirements
on the SWIR part of the instrument.
Each of the detectors is divided in two halves, which yields a total of eight spectral bands.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2017-10-13 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SENTINEL'
, 'SENTINEL5P'
, 'S5P'
, 'L1'
, 'L1B'
, 'TROPOMI'
, 'RA'
, 'Radiances'
, 'BD2'
, 'BAND2'
, 'B02'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL5P', |
| instruments: |
['TROPOMI'
], |
| platform: |
'S5P', |
| processing:level: |
'L1B', |
| eodag:sensor_type: |
'ATMOSPHERIC', |
|
|
194
Collection("S5P_L1B_RA_BD3")
| id: |
'S5P_L1B_RA_BD3', |
| title: |
'Sentinel-5 Precursor Level 1B Radiances for spectral band 3', |
| description: |
'Sentinel-5 Precursor Level 1B Radiances for spectral band 3.
TROPOMI utilises a single telescope to form an image of the target area onto a rectangular slit that acts as the
entrance slit of the spectrometer system. There are four different spectrometers, each with its own optics and
detector: mediumwave ultraviolet (UV), longwave ultraviolet combined with visible (UVIS), near infrared (NIR), and
shortwave infrared (SWIR). The spectrometers for UV, UVIS and NIR are jointly referred to as UVN. Radiation for the
SWIR spectrometer is transferred by an optical relay part in the UVN system from the telescope to an interface
position (the pupil stop) for the SWIR spectrometer. This is done because of the more stringent thermal requirements
on the SWIR part of the instrument.
Each of the detectors is divided in two halves, which yields a total of eight spectral bands.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2017-10-13 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SENTINEL'
, 'SENTINEL5P'
, 'S5P'
, 'L1'
, 'L1B'
, 'TROPOMI'
, 'RA'
, 'Radiances'
, 'BD3'
, 'BAND3'
, 'B03'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL5P', |
| instruments: |
['TROPOMI'
], |
| platform: |
'S5P', |
| processing:level: |
'L1B', |
| eodag:sensor_type: |
'ATMOSPHERIC', |
|
|
195
Collection("S5P_L1B_RA_BD4")
| id: |
'S5P_L1B_RA_BD4', |
| title: |
'Sentinel-5 Precursor Level 1B Radiances for spectral band 4', |
| description: |
'Sentinel-5 Precursor Level 1B Radiances for spectral band 4.
TROPOMI utilises a single telescope to form an image of the target area onto a rectangular slit that acts as the
entrance slit of the spectrometer system. There are four different spectrometers, each with its own optics and
detector: mediumwave ultraviolet (UV), longwave ultraviolet combined with visible (UVIS), near infrared (NIR), and
shortwave infrared (SWIR). The spectrometers for UV, UVIS and NIR are jointly referred to as UVN. Radiation for the
SWIR spectrometer is transferred by an optical relay part in the UVN system from the telescope to an interface
position (the pupil stop) for the SWIR spectrometer. This is done because of the more stringent thermal requirements
on the SWIR part of the instrument.
Each of the detectors is divided in two halves, which yields a total of eight spectral bands.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2017-10-13 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SENTINEL'
, 'SENTINEL5P'
, 'S5P'
, 'L1'
, 'L1B'
, 'TROPOMI'
, 'RA'
, 'Radiances'
, 'BD4'
, 'BAND4'
, 'B04'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL5P', |
| instruments: |
['TROPOMI'
], |
| platform: |
'S5P', |
| processing:level: |
'L1B', |
| eodag:sensor_type: |
'ATMOSPHERIC', |
|
|
196
Collection("S5P_L1B_RA_BD5")
| id: |
'S5P_L1B_RA_BD5', |
| title: |
'Sentinel-5 Precursor Level 1B Radiances for spectral band 5', |
| description: |
'Sentinel-5 Precursor Level 1B Radiances for spectral band 5.
TROPOMI utilises a single telescope to form an image of the target area onto a rectangular slit that acts as the
entrance slit of the spectrometer system. There are four different spectrometers, each with its own optics and
detector: mediumwave ultraviolet (UV), longwave ultraviolet combined with visible (UVIS), near infrared (NIR), and
shortwave infrared (SWIR). The spectrometers for UV, UVIS and NIR are jointly referred to as UVN. Radiation for the
SWIR spectrometer is transferred by an optical relay part in the UVN system from the telescope to an interface
position (the pupil stop) for the SWIR spectrometer. This is done because of the more stringent thermal requirements
on the SWIR part of the instrument.
Each of the detectors is divided in two halves, which yields a total of eight spectral bands.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2017-10-13 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SENTINEL'
, 'SENTINEL5P'
, 'S5P'
, 'L1'
, 'L1B'
, 'TROPOMI'
, 'RA'
, 'Radiances'
, 'BD5'
, 'BAND5'
, 'B05'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL5P', |
| instruments: |
['TROPOMI'
], |
| platform: |
'S5P', |
| processing:level: |
'L1B', |
| eodag:sensor_type: |
'ATMOSPHERIC', |
|
|
197
Collection("S5P_L1B_RA_BD6")
| id: |
'S5P_L1B_RA_BD6', |
| title: |
'Sentinel-5 Precursor Level 1B Radiances for spectral band 6', |
| description: |
'Sentinel-5 Precursor Level 1B Radiances for spectral band 6.
TROPOMI utilises a single telescope to form an image of the target area onto a rectangular slit that acts as the
entrance slit of the spectrometer system. There are four different spectrometers, each with its own optics and
detector: mediumwave ultraviolet (UV), longwave ultraviolet combined with visible (UVIS), near infrared (NIR), and
shortwave infrared (SWIR). The spectrometers for UV, UVIS and NIR are jointly referred to as UVN. Radiation for the
SWIR spectrometer is transferred by an optical relay part in the UVN system from the telescope to an interface
position (the pupil stop) for the SWIR spectrometer. This is done because of the more stringent thermal requirements
on the SWIR part of the instrument.
Each of the detectors is divided in two halves, which yields a total of eight spectral bands.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2017-10-13 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SENTINEL'
, 'SENTINEL5P'
, 'S5P'
, 'L1'
, 'L1B'
, 'TROPOMI'
, 'RA'
, 'Radiances'
, 'BD6'
, 'BAND6'
, 'B06'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL5P', |
| instruments: |
['TROPOMI'
], |
| platform: |
'S5P', |
| processing:level: |
'L1B', |
| eodag:sensor_type: |
'ATMOSPHERIC', |
|
|
198
Collection("S5P_L1B_RA_BD7")
| id: |
'S5P_L1B_RA_BD7', |
| title: |
'Sentinel-5 Precursor Level 1B Radiances for spectral band 7', |
| description: |
'Sentinel-5 Precursor Level 1B Radiances for spectral band 7.
TROPOMI utilises a single telescope to form an image of the target area onto a rectangular slit that acts as the
entrance slit of the spectrometer system. There are four different spectrometers, each with its own optics and
detector: mediumwave ultraviolet (UV), longwave ultraviolet combined with visible (UVIS), near infrared (NIR), and
shortwave infrared (SWIR). The spectrometers for UV, UVIS and NIR are jointly referred to as UVN. Radiation for the
SWIR spectrometer is transferred by an optical relay part in the UVN system from the telescope to an interface
position (the pupil stop) for the SWIR spectrometer. This is done because of the more stringent thermal requirements
on the SWIR part of the instrument.
Each of the detectors is divided in two halves, which yields a total of eight spectral bands.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2017-10-13 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SENTINEL'
, 'SENTINEL5P'
, 'S5P'
, 'L1'
, 'L1B'
, 'TROPOMI'
, 'RA'
, 'Radiances'
, 'BD7'
, 'BAND7'
, 'B07'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL5P', |
| instruments: |
['TROPOMI'
], |
| platform: |
'S5P', |
| processing:level: |
'L1B', |
| eodag:sensor_type: |
'ATMOSPHERIC', |
|
|
199
Collection("S5P_L1B_RA_BD8")
| id: |
'S5P_L1B_RA_BD8', |
| title: |
'Sentinel-5 Precursor Level 1B Radiances for spectral band 8', |
| description: |
'Sentinel-5 Precursor Level 1B Radiances for spectral band 8.
TROPOMI utilises a single telescope to form an image of the target area onto a rectangular slit that acts as the
entrance slit of the spectrometer system. There are four different spectrometers, each with its own optics and
detector: mediumwave ultraviolet (UV), longwave ultraviolet combined with visible (UVIS), near infrared (NIR), and
shortwave infrared (SWIR). The spectrometers for UV, UVIS and NIR are jointly referred to as UVN. Radiation for the
SWIR spectrometer is transferred by an optical relay part in the UVN system from the telescope to an interface
position (the pupil stop) for the SWIR spectrometer. This is done because of the more stringent thermal requirements
on the SWIR part of the instrument.
Each of the detectors is divided in two halves, which yields a total of eight spectral bands.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2017-10-13 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SENTINEL'
, 'SENTINEL5P'
, 'S5P'
, 'L1'
, 'L1B'
, 'TROPOMI'
, 'RA'
, 'Radiances'
, 'BD8'
, 'BAND8'
, 'B08'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL5P', |
| instruments: |
['TROPOMI'
], |
| platform: |
'S5P', |
| processing:level: |
'L1B', |
| eodag:sensor_type: |
'ATMOSPHERIC', |
|
|
200
Collection("S5P_L2_AER_AI")
| id: |
'S5P_L2_AER_AI', |
| title: |
'Sentinel-5 Precursor Level 2 Ultraviolet Aerosol Index', |
| description: |
'TROPOMI aerosol index is referred to as the Ultraviolet Aerosol Index (UVAI). The relatively simple calculation of
the Aerosol Index is based on wavelength dependent changes in Rayleigh scattering in the UV spectral range where
ozone absorption is very small. UVAI can also be calculated in the presence of clouds so that daily, global coverage
is possible. This is ideal for tracking the evolution of episodic aerosol plumes from dust outbreaks, volcanic ash,
and biomass burning.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2017-10-13 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SENTINEL'
, 'SENTINEL5P'
, 'S5P'
, 'L2'
, 'TROPOMI'
, 'AER'
, 'AI'
, 'Ultraviolet'
, 'Aerosol'
, 'Index'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL5P', |
| instruments: |
['TROPOMI'
], |
| platform: |
'S5P', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'ATMOSPHERIC', |
|
|
201
Collection("S5P_L2_AER_LH")
| id: |
'S5P_L2_AER_LH', |
| title: |
'Sentinel-5 Precursor Level 2 Aerosol Layer Height', |
| description: |
'The TROPOMI Aerosol Layer Height product focuses on retrieval of vertically localised aerosol layers in the free
troposphere, such as desert dust, biomass burning aerosol, or volcanic ash plumes. The height of such layers is
retrieved for cloud-free conditions. Height information for aerosols in the free troposphere is particularly
important for aviation safety. Scientific applications include radiative forcing studies, long-range transport
modelling and studies of cloud formation processes. Aerosol height information also helps to interpret the UV
Aerosol Index (UVAI) in terms of aerosol absorption as the index is strongly height-dependent.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2017-10-13 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SENTINEL'
, 'SENTINEL5P'
, 'S5P'
, 'L2'
, 'TROPOMI'
, 'AER'
, 'LH'
, 'Aerosol'
, 'Layer'
, 'Height'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL5P', |
| instruments: |
['TROPOMI'
], |
| platform: |
'S5P', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'ATMOSPHERIC', |
|
|
202
Collection("S5P_L2_CH4")
| id: |
'S5P_L2_CH4', |
| title: |
'Sentinel-5 Precursor Level 2 Methane', |
| description: |
'Methane (CH4) is, after carbon dioxide (CO2), the most important contributor to the anthropogenically enhanced
greenhouse effect. Roughly three-quarters of methane emissions are anthropogenic and as such it is important to
continue the record of satellite-based measurements. TROPOMI aims at providing CH4 column concentrations with high
sensitivity to the Earth's surface, good spatio/temporal coverage, and sufficient accuracy to facilitate inverse
modelling of sources and sinks.
The output product consists of the retrieved methane column and a row vector referred to as the column averaging
kernel A. The column averaging kernel describes how the retrieved column relates to the true profile and should be
used in validation exercises (when possible) or use of the product in source/sink inverse modelling. The output
product also contains altitude levels of the layer interfaces to which the column averaging kernel corresponds.
Additional output for Level-2 data products: viewing geometry, precision of retrieved methane, residuals of the fit,
quality flags (cloudiness, terrain roughness etc.) and retrieved albedo and aerosol properties. The latter
properties are required for a posteriori filtering and for estimation of total retrieval error.
The Sentinel-5 Precursor mission flies in loose formation (about 3.5 - 5 minutes behind) with the S-NPP
(SUOMI-National Polar-orbiting Partnership) mission to use VIIRS (Visible Infrared Imaging Radiometer Suite) cloud
information to select cloud free TROPOMI pixels for high quality methane retrieval.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2017-10-13 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SENTINEL'
, 'SENTINEL5P'
, 'S5P'
, 'L2'
, 'TROPOMI'
, 'CH4'
, 'Methane'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL5P', |
| instruments: |
['TROPOMI'
], |
| platform: |
'S5P', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'ATMOSPHERIC', |
|
|
203
Collection("S5P_L2_CLOUD")
| id: |
'S5P_L2_CLOUD', |
| title: |
'Sentinel-5 Precursor Level 2 Cloud', |
| description: |
'The TROPOMI instrument, single payload onboard Sentinel-5 Precursor, retrieves operationally the most important
quantities for cloud correction of satellite trace gas retrievals: cloud fraction, cloud optical thickness (albedo),
and cloud-top pressure (height). Cloud parameters from TROPOMI are not only used for enhancing the accuracy of trace
gas retrievals, but also to extend the satellite data record of cloud information derived from oxygen A-band
measurements initiated with GOME.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2017-10-13 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SENTINEL'
, 'SENTINEL5P'
, 'S5P'
, 'L2'
, 'TROPOMI'
, 'CLOUD'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL5P', |
| instruments: |
['TROPOMI'
], |
| platform: |
'S5P', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'ATMOSPHERIC', |
|
|
204
Collection("S5P_L2_CO")
| id: |
'S5P_L2_CO', |
| title: |
'Sentinel-5 Precursor Level 2 Carbon Monoxide', |
| description: |
'The TROPOMI instrument, single payload onboard Sentinel-5 Precursor, retrieves the CO global abundance exploiting
clear-sky and cloudy-sky Earth radiance measurements in the 2.3 µm spectral range of the shortwave infrared (SWIR)
part of the solar spectrum. TROPOMI clear sky observations provide CO total columns with sensitivity to the
tropospheric boundary layer. For cloudy atmospheres, the column sensitivity changes according to the light path.
The TROPOMI CO retrieval uses the same method employed by SCIAMACHY.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2017-10-13 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SENTINEL'
, 'SENTINEL5P'
, 'S5P'
, 'L2'
, 'TROPOMI'
, 'CO'
, 'Carbon'
, 'Monoxide'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL5P', |
| instruments: |
['TROPOMI'
], |
| platform: |
'S5P', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'ATMOSPHERIC', |
|
|
205
Collection("S5P_L2_HCHO")
| id: |
'S5P_L2_HCHO', |
| title: |
'Sentinel-5 Precursor Level 2 Formaldehyde', |
| description: |
'Formaldehyde is an intermediate gas in almost all oxidation chains of Non-Methane Volatile Organic Compounds
(NMVOC), leading eventually to CO2. NMVOCs are, together with NOx, CO and CH4, among the most important precursors
of tropospheric O3. The major HCHO source in the remote atmosphere is CH4 oxidation. Over the continents, the
oxidation of higher NMVOCs emitted from vegetation, fires, traffic and industrial sources results in important and
localised enhancements of the HCHO levels.
In addition to the main product results, such as HCHO slant column, vertical column and air mass factor, the level 2
data files contain several additional parameters and diagnostic information.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2017-10-13 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SENTINEL'
, 'SENTINEL5P'
, 'S5P'
, 'L2'
, 'TROPOMI'
, 'HCHO'
, 'Formaldehyde'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL5P', |
| instruments: |
['TROPOMI'
], |
| platform: |
'S5P', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'ATMOSPHERIC', |
|
|
206
Collection("S5P_L2_NO2")
| id: |
'S5P_L2_NO2', |
| title: |
'Sentinel-5 Precursor Level 2 Nitrogen Dioxide', |
| description: |
'The TROPOMI instrument, single payload onboard Sentinel-5 Precursor, retrieves operationally tropospheric and
stratospheric NO2 column products. The TROPOMI NO2 data products pose an improvement over previous NO2 data sets,
particularly in their unprecedented spatial resolution, but also in the separation of the stratospheric and
tropospheric contributions of the retrieved slant columns, and in the calculation of the air-mass factors used to
convert slant to total columns.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2017-10-13 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SENTINEL'
, 'SENTINEL5P'
, 'S5P'
, 'L2'
, 'TROPOMI'
, 'NO2'
, 'Nitrogen'
, 'Dioxide'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL5P', |
| instruments: |
['TROPOMI'
], |
| platform: |
'S5P', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'ATMOSPHERIC', |
|
|
207
Collection("S5P_L2_NP_BD3")
| id: |
'S5P_L2_NP_BD3', |
| title: |
'Sentinel-5 Precursor Level 2 NPP Cloud for band 3', |
| description: |
'S5P-NPP Cloud for spectral band 3.
The S5P level 2 methane product is dependent on having information on cloud occurrence at spatial resolution finer
than that achievable from TROPOMI itself. This information is also useful for other purposes, including assessing
the influence of cloud on other L2 products and issues related to spatial co-registration. A level 2 auxiliary
product was therefore developed to describe cloud in the TROPOMI field of view (FOV), using co-located observations
of VIIRS (Visible Infra-red Imaging Radiometer Suite) on the U.S. S-NPP (Suomi - National Polar-orbiting
Partnership). S5P flies in a so-called loose formation with the S-NPP with a temporal separation between them of
less than 5 minutes.
The main information contained in the S5P-NPP product is:
1. A statistical summary for each S5P FOV of the NPP-VIIRS L2 Cloud Mask (VCM).
2. The mean and standard deviation of the sun-normalised radiance in a number of VIIRS moderate resolution bands.
This information is provided for three S5P spectral bands (to account for differences in spatial sampling).
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2017-10-13 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SENTINEL'
, 'SENTINEL5P'
, 'S5P'
, 'L2'
, 'TROPOMI'
, 'NP'
, 'NPP'
, 'Cloud'
, 'BD3'
, 'B03'
, 'BAND3'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL5P', |
| instruments: |
['TROPOMI'
], |
| platform: |
'S5P', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'ATMOSPHERIC', |
|
|
208
Collection("S5P_L2_NP_BD6")
| id: |
'S5P_L2_NP_BD6', |
| title: |
'Sentinel-5 Precursor Level 2 NPP Cloud for band 6', |
| description: |
'S5P-NPP Cloud for spectral band 6.
The S5P level 2 methane product is dependent on having information on cloud occurrence at spatial resolution finer
than that achievable from TROPOMI itself. This information is also useful for other purposes, including assessing
the influence of cloud on other L2 products and issues related to spatial co-registration. A level 2 auxiliary
product was therefore developed to describe cloud in the TROPOMI field of view (FOV), using co-located observations
of VIIRS (Visible Infra-red Imaging Radiometer Suite) on the U.S. S-NPP (Suomi - National Polar-orbiting
Partnership). S5P flies in a so-called loose formation with the S-NPP with a temporal separation between them of
less than 5 minutes.
The main information contained in the S5P-NPP product is:
1. A statistical summary for each S5P FOV of the NPP-VIIRS L2 Cloud Mask (VCM).
2. The mean and standard deviation of the sun-normalised radiance in a number of VIIRS moderate resolution bands.
This information is provided for three S5P spectral bands (to account for differences in spatial sampling).
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2017-10-13 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SENTINEL'
, 'SENTINEL5P'
, 'S5P'
, 'L2'
, 'TROPOMI'
, 'NP'
, 'NPP'
, 'Cloud'
, 'BD6'
, 'B06'
, 'BAND6'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL5P', |
| instruments: |
['TROPOMI'
], |
| platform: |
'S5P', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'ATMOSPHERIC', |
|
|
209
Collection("S5P_L2_NP_BD7")
| id: |
'S5P_L2_NP_BD7', |
| title: |
'Sentinel-5 Precursor Level 2 NPP Cloud for band 7', |
| description: |
'S5P-NPP Cloud for spectral band 7.
The S5P level 2 methane product is dependent on having information on cloud occurrence at spatial resolution finer
than that achievable from TROPOMI itself. This information is also useful for other purposes, including assessing
the influence of cloud on other L2 products and issues related to spatial co-registration. A level 2 auxiliary
product was therefore developed to describe cloud in the TROPOMI field of view (FOV), using co-located observations
of VIIRS (Visible Infra-red Imaging Radiometer Suite) on the U.S. S-NPP (Suomi - National Polar-orbiting
Partnership). S5P flies in a so-called loose formation with the S-NPP with a temporal separation between them of
less than 5 minutes.
The main information contained in the S5P-NPP product is:
1. A statistical summary for each S5P FOV of the NPP-VIIRS L2 Cloud Mask (VCM).
2. The mean and standard deviation of the sun-normalised radiance in a number of VIIRS moderate resolution bands.
This information is provided for three S5P spectral bands (to account for differences in spatial sampling).
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2017-10-13 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SENTINEL'
, 'SENTINEL5P'
, 'S5P'
, 'L2'
, 'TROPOMI'
, 'NP'
, 'NPP'
, 'Cloud'
, 'BD7'
, 'B07'
, 'BAND7'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL5P', |
| instruments: |
['TROPOMI'
], |
| platform: |
'S5P', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'ATMOSPHERIC', |
|
|
210
Collection("S5P_L2_O3")
| id: |
'S5P_L2_O3', |
| title: |
'Sentinel-5 Precursor Level 2 Ozone', |
| description: |
'Ozone (O3) is of crucial importance for the equilibrium of the Earth's atmosphere. In the stratosphere, the ozone
layer shields the biosphere from dangerous solar ultraviolet radiation. In the troposphere, it acts as an efficient
cleansing agent, but at high concentration it also becomes harmful to the health of humans, animals, and vegetation.
Ozone is also an important greenhouse-gas contributor to ongoing climate change.
These products are provided in NetCDF-CF format and contain total ozone, ozone temperature, and error information
including averaging kernels.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2017-10-13 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SENTINEL'
, 'SENTINEL5P'
, 'S5P'
, 'L2'
, 'TROPOMI'
, 'O3'
, 'Ozone'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL5P', |
| instruments: |
['TROPOMI'
], |
| platform: |
'S5P', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'ATMOSPHERIC', |
|
|
211
Collection("S5P_L2_O3_PR")
| id: |
'S5P_L2_O3_PR', |
| title: |
'Sentinel-5 Precursor Level 2 Ozone Profile', |
| description: |
'Retrieved ozone profiles are used to monitor the evolution of stratospheric and tropospheric ozone. Such monitoring
is important as the ozone layer protects life on Earth against harmful UV radiation. The ozone layer is recovering
from depletion due to manmade Chlorofluorocarbons (CFCs). Tropospheric ozone is toxic and it plays an important role
in tropospheric chemistry. Also, ozone is a greenhouse gas and is therefore also relevant for climate change.
The main parameters in the file are the retrieved ozone profile at 33 levels and the retrieved sub-columns of ozone
in 6 layers. In addition, the total ozone column and tropospheric ozone columns are provided. For the ozone profile,
the precision and smoothing errors, the a-priori profile and the averaging kernel are also provided.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2017-10-13 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SENTINEL'
, 'SENTINEL5P'
, 'S5P'
, 'L2'
, 'TROPOMI'
, 'O3'
, 'PR'
, 'Ozone'
, 'Profile'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL5P', |
| instruments: |
['TROPOMI'
], |
| platform: |
'S5P', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'ATMOSPHERIC', |
|
|
212
Collection("S5P_L2_O3_TCL")
| id: |
'S5P_L2_O3_TCL', |
| title: |
'Sentinel-5 Precursor Level 2 Tropospheric Ozone', |
| description: |
'Ozone in the tropical troposphere plays various important roles. The intense UV radiation and high humidity in the
tropics stimulate the formation of the hydroxyl radical (OH) by the photolysis of ozone. OH is the most important
oxidant in the troposphere because it reacts with virtually all trace gases, such as CO, CH4 and other hydrocarbons.
The tropics are also characterized by large emissions of nitrogen oxides (NOx), carbon monoxide (CO) and
hydrocarbons, both from natural and anthropogenic sources. Ozone that is formed over regions where large amounts of
these ozone precursors are emitted, can be transported over great distances and affects areas far from the source.
The TROPOMI tropospheric ozone product is a level-2c product that represents three day averaged tropospheric ozone
columns on a 0.5° by 1° latitude-longitude grid for the tropical region between 20°N and 20°S. The TROPOMI
tropospheric ozone column product uses the TROPOMI Level-2 total OZONE and CLOUD products as input.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2017-10-13 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SENTINEL'
, 'SENTINEL5P'
, 'S5P'
, 'L2'
, 'TROPOMI'
, 'O3'
, 'TCL'
, 'Tropospheric'
, 'Ozone'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL5P', |
| instruments: |
['TROPOMI'
], |
| platform: |
'S5P', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'ATMOSPHERIC', |
|
|
213
Collection("S5P_L2_SO2")
| id: |
'S5P_L2_SO2', |
| title: |
'Sentinel-5 Precursor Level 2 Sulphur Dioxide', |
| description: |
'Sulphur dioxide (SO2) enters the Earth's atmosphere through both natural (~30%) and anthropogenic processes (~70%).
It plays a role in chemistry on a local and global scale and its impact ranges from short term pollution to effects
on climate.
Beside the total column of SO2, enhanced levels of SO2 are flagged within the products. The recognition of enhanced
SO2 values is essential in order to detect and monitor volcanic eruptions and anthropogenic pollution sources.
Volcanic SO2 emissions may also pose a threat to aviation, along with volcanic ash.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2017-10-13 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['SENTINEL'
, 'SENTINEL5P'
, 'S5P'
, 'L2'
, 'TROPOMI'
, 'SO2'
, 'Sulphur'
, 'Dioxide'
], |
| license: |
'other', |
| providers: |
[{
'name': 'European Space Agency (ESA)'
,
'roles': ['producer'
, 'processor'
, 'licensor'
]
,
'url': 'https://earth.esa.int'
}
], |
| constellation: |
'SENTINEL5P', |
| instruments: |
['TROPOMI'
], |
| platform: |
'S5P', |
| processing:level: |
'L2', |
| eodag:sensor_type: |
'ATMOSPHERIC', |
|
|
214
Collection("S6_RADIO_OCCULTATION")
| id: |
'S6_RADIO_OCCULTATION', |
| title: |
'Radio Occultation Level 1B Products - Sentinel-6', |
| description: |
'Jason-CS/Sentinel-6 Radio Occultation Level 1B product, providing a bending
angle versus impact parameter profile, as well as other relevant
information derived from the observation.
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2021-11-19 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['Sentinel-6'
, 'L1B'
, 'GNSS-RO'
, 'Radio'
, 'Occultation'
], |
| license: |
'other', |
| constellation: |
'Sentinel-6', |
| instruments: |
['GNSS-RO'
], |
| platform: |
'Sentinel-6', |
| processing:level: |
'L1B', |
| eodag:sensor_type: |
'Radio Occultation', |
|
|
215
Collection("SUPERSITES")
| id: |
'SUPERSITES', |
| title: |
'SUPERSITES', |
| description: |
'Not Available', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[None
, None
]
]
}
}, |
| license: |
'other', |
|
|
216
Collection("TIGGE_CF_SFC")
| id: |
'TIGGE_CF_SFC', |
| title: |
'TIGGE ECMWF Surface Control forecast', |
| description: |
'TIGGE (THORPEX Interactive Grand Global Ensemble) Surface Control forecast
from ECMWF
', |
| extent: |
{
'spatial': {
'bbox': [[-180.0
, -90.0
, 180.0
, 90.0
]
]
}
,
'temporal': {
'interval': [[2006-10-01 00:00:00+00:00
, None
]
]
}
}, |
| keywords: |
['THORPEX'
, 'TIGGE'
, 'CF'
, 'SFC'
, 'ECMWF'
], |
| license: |
'other', |
| constellation: |
'TIGGE', |
| instruments: |
[], |
| platform: |
'TIGGE', |
| eodag:sensor_type: |
'ATMOSPHERIC', |
|
|
.