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This skill should be used when working with GDAL command line tools for raster and vector geospatial processing. Covers inspection, reprojection, clipping, raster conversion, mosaics, tiling, rasterization, and COG creation.
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SOC 職業分類に基づく
Build visually stunning geospatial demo webapps with MapLibre globe, DuckDB-WASM, and a warm dark HUD aesthetic. Use when building satellite imagery retrieval demos, embedding visualization tools, geospatial search UIs, or any map-centric data exploration frontend. Triggers on requests to scaffold a new geo demo, build a map-based UI, or create a retrieval/search visualization over satellite data.
GeoZarr conventions for geospatial Zarr stores: CF grid_mapping, coordinate arrays, Zarr v2/v3 dimension declarations, multiscales, proj:/spatial: namespaces, and xarray/rioxarray/GDAL interop. Use when authoring, patching, validating, or ingesting Zarr stores intended to round-trip as georeferenced rasters.
This skill should be used when viewing, previewing, or inspecting geospatial files from the command line. Covers interactive raster viewing (viewtif), interactive vector viewing (viewgeom), and non-interactive terminal-inline viewing (viewinline) for GeoTIFF, Shapefile, GeoJSON, GeoPackage, GeoParquet, CSV, HDF, NetCDF, and more.
Use when working with TESSERA satellite embeddings — downloading via CLI, sampling via the Python or R library, choosing between point-based and mosaic approaches, or exporting to GeoTIFF/NPY/Zarr.
Use when working with TESSERA satellite embeddings — downloading via CLI, sampling via the Python or R library, choosing between point-based and mosaic approaches, or exporting to GeoTIFF/NPY/Zarr.
This skill should be used when working with gpio for GeoParquet inspection, validation, optimization, and distribution. Covers GeoParquet best practices using gpio CLI and DuckDB.
| name | gdal |
| description | This skill should be used when working with GDAL command line tools for raster and vector geospatial processing. Covers inspection, reprojection, clipping, raster conversion, mosaics, tiling, rasterization, and COG creation. |
Use GDAL command line tools for common raster and vector geospatial workflows.
Prefer the smallest tool that fits the task:
gdalinfoogrinfogdalwarpgdal_translategdalbuildvrtgdaltindexgdal_rasterizegdal2tiles.pyogr2ogrIf GDAL is not installed, ask the user to install it before continuing.
gdalinfo INPUT.tif
ogrinfo INPUT.shp -so
gdalwarp, gdal_translate, gdalbuildvrt, gdal_rasterize, gdal2tiles.pyogr2ogr, ogrinfo, gdaltindexgdalinfo OUTPUT.tif
ogrinfo OUTPUT.geojson -so
# Inspect
gdalinfo INPUT.tif
ogrinfo INPUT.shp -so
# Vector conversion and clipping
ogr2ogr -f GeoJSON -t_srs epsg:4326 OUTPUT.geojson INPUT.shp
gdaltindex -t_srs epsg:4326 -f GeoJSON OUTPUT_EXTENT.geojson INPUT_RASTER.tif
ogr2ogr -f GeoJSON -clipsrc OUTPUT_EXTENT.geojson OUTPUT_CLIPPED.geojson INPUT.shp
# Raster reprojection and clipping
gdalwarp -t_srs epsg:4326 INPUT.tif OUTPUT.tif
gdalwarp -cutline INPUT.shp -crop_to_cutline -dstalpha INPUT.tif OUTPUT.tif
# Raster conversion
gdal_translate -b 1 -b 2 -b 3 INPUT.tif OUTPUT.tif
gdal_translate -b 1 -b 2 -b 3 -of JPEG -outsize 400 0 INPUT.tif OUTPUT.jpg
# Mosaic and stack
gdalbuildvrt OUTPUT.vrt path/to/tiffs/*.tif
gdal_translate -co BIGTIFF=YES -co NUM_THREADS=ALL_CPUS -co COMPRESS=LZW -co PREDICTOR=2 OUTPUT.vrt OUTPUT.tif
# Rasterize and tile
gdal_rasterize -burn 1.0 -ot Byte -of GTiff -co COMPRESS=LZW -co BIGTIFF=YES INPUT.shp OUTPUT.tif
gdal2tiles.py -z 10-16 INPUT_BYTE.tif OUTPUT/
# COG
gdalwarp -co BIGTIFF=YES -co NUM_THREADS=ALL_CPUS -co COMPRESS=LZW -co PREDICTOR=2 -of COG INPUT.tif OUTPUT.tif
references/gdal-recipes.md