How-to guides

These guides assume you can construct a CQL2 JSON filter. For a first exercise, use the tutorial.

• Download observations and query stations with the CLI.
• Set up development and preview documentation.

Query and visualize observations in notebooks

Use an installed notebook environment with pygeofilter-aeronet, jupyterlab, and folium. Run cells in order; network access and a writable working directory are required.

• Retrieve Level 1.5 AOD from all sites.
• Retrieve Level 2.0 AOD daily averages.
• Retrieve Level 2.0 SDA daily averages.
• Search observations within a geographic bounding box.

Match observations to satellite imagery

These notebooks also fetch a Sentinel-3 STAC Item from the Copernicus Data Space catalogue. Replace the example Item URL to work with another scene.

• Discover stations in a scene footprint.
• Find observations around a satellite acquisition.
• Discover stations, then query each station.

For the different spatial behavior of station and observation queries, see query processing.