APR-170: Replace Google Earth Engine with STAC API for satellite LST#46
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- Add satellite_lst_stac.py: drop-in replacement using Microsoft Planetary Computer for Landsat thermal and Sentinel-2 NDCI data - No credentials required for Landsat (free SAS-signed URLs) - Sentinel-2 NDCI via Planetary Computer (free) or Copernicus (auth) - Windowed rasterio reads for performance (~9s vs ~93s full scene) - Heatmap generation via matplotlib (PNG bytes, not URL) - Add pyproject.toml and requirements.txt deps: pystac-client, planetary-computer, rioxarray, rasterio, pyproj - Spike validation: all 4 spikes pass (LST, heatmap, NDCI, ScienceBase eval) - 24 unit tests covering bbox, cloud mask, band key detection, fallback paths
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Summary
satellite_lst_stac.py: credential-free replacement forsatellite_lst.pyusing Microsoft Planetary Computer (free SAS-signed URLs)pystac-client,planetary-computer,rioxarray,rasterio,pyprojSpike validation results
Follow-up (separate tickets)
satellite_lst_stacintoapp/pages/fishing.pyreplacing the GEE importget_lst_heatmap_url()call →get_lst_heatmap()(returns PNG bytes;st.image()accepts bytes directly)satellite_lst.py(GEE) or keeping as opt-in fallbackTest plan
pytest tests/test_satellite_lst_stac.py)Closes APR-170
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