Gdal
Showing 9 of 9 projects
A Jupyter notebook extension for interactive geospatial visualization and analysis.
A Python framework for scalable organization and processing of SAR satellite data, integrating SNAP and GAMMA.
Convert raster and vector geospatial data to various formats and coordinate systems entirely in the browser using WebAssembly.
A JavaScript library that wraps GDAL for geospatial data processing directly in the browser using WebAssembly.
An idiomatic Go wrapper for the GDAL library, providing efficient raster and vector geospatial data processing.
A software system processing Sentinel-2 satellite imagery for agricultural monitoring and Common Agricultural Policy (CAP) management.
A Python library that calculates precise geodetic locations from drone imagery by combining sensor metadata with digital elevation models.
A Go library to publish GIS vector data to PostGIS and GeoServer.
A Node.js library for transforming large streams of GeoJSON data into CSV, KML, Shapefile, and other GIS formats.
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