Spatiotemporal Arrays, Raster and Vector Data Cubes
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Updated
May 17, 2024 - R
Spatiotemporal Arrays, Raster and Vector Data Cubes
🌐 dynamic tile server for visualizing rasters in Jupyter with ipyleaflet or folium
Faster raster processing in R using GRASS GIS
Tools for cartographic production, surveying, digital image processing and spatial analysis.
A python package that extends Google Earth Engine.
A list of all the scale and offset parameters for each raster dataset in Google Earth Engine.
GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.
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.
Fused documentation.
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
GRASS GIS - free and open-source geospatial processing engine
R package for spatial data handling https://rspatial.github.io/terra/reference/terra-package.html
Geocomputation with R: an open source book
Tile-based geodata processing using rasterio & Fiona
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
Landscape Metrics for Categorical Map Patterns 🗺️ in R
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