GDAL is an MIT-licensed open source translator library that provides a unified abstract data model for reading and writing geospatial raster and vector data across hundreds of file formats. It serves as a foundational geospatial data translation library, enabling access to diverse geospatial data formats through a single, consistent interface. The library exposes its core functionality through command-line utilities that allow users to translate, convert, and process geospatial data between formats. A coordinate transformation engine handles conversions between spatial reference systems, whil
AWS Lambda Container Image with Python Rasterio for querying Cloud Optimised GeoTiffs.
golang wrapper for github.com/OSGEO/gdal
The main features of airbusgeo/godal are: Geospatial Data Tools, Geospatial Tools, Go Geospatial Libraries, Raster and Vector Processing.
Open-source alternatives to airbusgeo/godal include: osgeo/gdal — GDAL is an MIT-licensed open source translator library that provides a unified abstract data model for reading and… golang/geo — S2 geometry library in Go. azavea/loam — A wrapper for running GDAL in the browser using gdal-js. addresscloud/aws-lambda-docker-rasterio — AWS Lambda Container Image with Python Rasterio for querying Cloud Optimised GeoTiffs. corteva/rioxarray — rioxarray README. robintw/xarrayandrasterio — Experimental code for loading/saving XArray DataArrays to Geographic Rasters using rasterio.