rasterio
Raster geospatial data processing — the Python interface to GDAL for satellite imagery, elevation models, and grid-based geographic analysis. Rasterio reads and writes georeferenced raster formats (GeoTIFF, NetCDF, JP2, PNG, JPEG2000), handles Coordinate Reference Systems (CRS) and reprojection, performs band math (NDVI, NDWI, EVI), clips/masks rasters with vector geometries, resamples grids, and supports memory-efficient windowed I/O for multi-gigabyte files. Use when: working with satellite imagery or aerial photos, processing Digital Elevation Models (DEM/DTM/DSM), computing spectral indices from multispectral data, clipping raster data to polygon boundaries, reprojecting between coordinate systems, performing spatial interpolation on gridded data, analyzing land cover or land use change over time, integrating raster data with vector data (geopandas/shapely), or any task involving georeferenced grid/pixel data as opposed to vector points/lines/polygons.
Installation and usage
Raster geospatial data processing — the Python interface to GDAL for satellite imagery, elevation models, and grid-based geographic analysis. Rasterio reads and writes georeferenced raster formats (GeoTIFF, NetCDF, JP2, PNG, JPEG2000), handles Coordinate Reference Systems (CRS) and reprojection, performs band math (NDVI, NDWI, EVI), clips/masks rasters with vector geometries, resamples grids, and supports memory-efficient windowed I/O for multi-gigabyte files. Use when: working with satellite imagery or aerial photos, processing Digital Elevation Models (DEM/DTM/DSM), computing spectral indices from multispectral data, clipping raster data to polygon boundaries, reprojecting between coordinate systems, performing spatial interpolation on gridded data, analyzing land cover or land use change over time, integrating raster data with vector data (geopandas/shapely), or any task involving georeferenced grid/pixel data as opposed to vector points/lines/polygons.
설치 후 터미널에서 다음 명령을 실행하여 이 스킬을 사용할 수 있습니다:
skills use rasterio