Tutorials

The API/CLI user guides explain how eodag’s features should be used. These tutorials show how eodag can be used to achieve some specific tasks. They are Jupyter Notebook that can be viewed online, run online thanks to Binder, or run locally after being downloaded (see how to Run the notebooks locally).

Note

Some tutorials require auxiliary data that can be directly downloaded from Github.

Warning

The tutorials almost always involve downloading one ore several EO product(s). These products are usually in the order of 700-900 Mo, make sure you have a decent internet connection if you plan to run the notebooks.

Warning

Some tutorials make use of additional softwares (e.g. SNAP) for image processing. These processes can be long, intensive and generate outputs in the order of several Go.

Please make sure that you use the right software version. They are mentioned at the beginning of each tutorial.

• Search for products by tile
  • Built-in search by tile
  • Search by tile using custom locations
    • Setup
    • Add a locations configuration
    • Search
      • A single tile
      • Multiple tiles
• Get Copernicus DEM using EODAG
  • Convert downloaded geojson to EODAG serialized search result
  • Filter on a specific area
  • Download the filtered DEM files to workspace
• ECMWF API plugin for EODAG
  • Search (build download request) from an existing product type:
  • Send product retrieval request and download when available
  • Open dataset with xarray and cfgrib, then plot using matplotlib
  • To go further, search using a custom MARS request:
• CDS API plugin for EODAG
  • Search (build download request)
    • Search from an existing product type:
    • Search using a custom request:
    • Send product retrieval request and download when available
    • Open dataset with xarray and plot using matplotlib
• Get forecast data from meteoblue using EODAG
  • 1. Search (get data availability and build download request)
    • 1.a. Search from an existing product type:
    • 1.b. Search using a custom request:
  • 2. Download product
  • 3. Open dataset with xarray and plot over a map using folium
• Sentinel-1 processing for ship detection (SNAP)
  • Configuration
  • Search and download with eodag
  • Post-process the products with SNAP
  • Final results
• Sentinel-2 processing to get a burnt area map (Sen2Cor, SNAP, snappy)
  • Configuration
  • Search and Download with eodag
  • Final result