GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.
-
Updated
May 11, 2024 - C++
GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.
A list of all the scale and offset parameters for each raster dataset in Google Earth Engine.
Fused documentation.
geospatial xarray extension powered by rasterio
GRASS GIS - free and open-source geospatial processing engine
GRASS GIS addon for running r.learn.predict in parallel
Boost.GIL - Generic Image Library | Requires C++14 since Boost 1.80
MDCS is an acronym for Mosaic Dataset Configuration Script and is the entry point to a collection of Python classes/libraries that could be consumed by a Python client application to complete a given workflow for creating a mosaic dataset, populating it with data, and setting all required/desired parameters.
Faster raster processing in R using GRASS GIS
A high level API for GDAL - Geospatial Data Abstraction Library
A python package that extends Google Earth Engine.
GRASS GIS Addons Repository (Manuals: https://grass.osgeo.org/grass-stable/manuals/addons/ | Linux-logs: https://grass.osgeo.org/addons/grass8/logs/ | Windows logs: https://wingrass.fsv.cvut.cz/grass83/addons/grass-8.3.2/logs/)
Computing landscape metrics in the Python ecosystem
Command line interface (CLI) and Rust libraries for the SpatioTemporal Asset Catalog (STAC) specification
R package for spatial data handling https://rspatial.github.io/terra/reference/terra-package.html
Add a description, image, and links to the raster topic page so that developers can more easily learn about it.
To associate your repository with the raster topic, visit your repo's landing page and select "manage topics."