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rioxarray README
The main features of corteva/rioxarray are: Geospatial Data Tools, Raster and Vector Processing.
Projects with overlapping indexed features include: osgeo/gdal — GDAL is an MIT-licensed open source translator library that provides a unified abstract data model for reading and… azavea/loam — A wrapper for running GDAL in the browser using gdal-js. airbusgeo/godal — golang wrapper for github.com/OSGEO/gdal. addresscloud/aws-lambda-docker-rasterio — AWS Lambda Container Image with Python Rasterio for querying Cloud Optimised GeoTiffs. robintw/xarrayandrasterio — Experimental code for loading/saving XArray DataArrays to Geographic Rasters using rasterio. googlemaps/android-maps-utils — This project is a utility library for the Google Maps SDK for Android, providing a suite of specialized tools for…
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.
