Geospatial Analysis using Python
summary
Demonstrates practical geospatial Python: uses GDAL/OGR for file conversion and automation—example converts 50,000 KML→shapefile in 15 minutes with a shell script—uses GeoPandas+Shapely for vector queries like “points within polygon” and “which countries touch India,” connects PostGIS, and reads CSV lat/long into geometries. For imagery uses rasterio / Google Earth Engine to compute NDVI via raster→numpy arrays and clips by farm polygons. Creates interactive notebooks with ipyleaflet markers and pydeck 3D arcs; H3 and OpenStreetMap are cited for tiling and data.
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chapters (7)
- 0:00Introduction to talk
- 1:48GIS and Python basics
- 5:37GDAL and OGR tools
- 8:09Vector data with GeoPandas
- 16:42Raster data analysis
- 19:53Interactive maps with Python
- 23:22Summary and Q&A
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