GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.
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Updated
Jun 30, 2024 - C++
GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.
GRASS GIS - free and open-source geospatial processing engine
Tools for cartographic production, surveying, digital image processing and spatial analysis.
Module to process rasters and shapefiles with Python geospatial libraries
Fused documentation.
Open Data Cube analyses continental scale Earth Observation data through time
Public Fused UDFs. Build any scale workflows with the Fused Python SDK and Workbench webapp, and integrate them into your stack with the Fused Hosted API.
Raster manipulation for the Julia language
A python package that extends Google Earth Engine.
Geocomputation with R: an open source book
Tool to convert geopandas vector data into rasterized xarray data.
Spatiotemporal Arrays, Raster and Vector Data Cubes
Landscape Metrics for Categorical Map Patterns 🗺️ in R
A list of all the scale and offset parameters for each raster dataset in Google Earth Engine.
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