GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.
- raster
- geospatial-data
- vector
- remote-sensing
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GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
A fast, free and open-source GIS in pure Rust.
An open source library and framework for deep learning on satellite and aerial imagery.
Transform geospatial relations into graphs for Graph Neural Networks and spatial network analysis
GRASS - free and open-source geospatial processing engine
FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability
framework for large-scale SAR satellite data processing
Go library to access geocoding and reverse geocoding APIs
create a map by R
Open source remote sensing dataset with benchmarks
Desktop based tool for viewing, editing and saving road network maps for autonomous vehicle platforms such as Autoware.
A fast, forgiving GTFS reader built on pandas DataFrames
A python Two Source Energy Balance model for estimation of evapotranspiration with remote sensing data
A Python interface to HERE location APIs with support for synchronous and asynchronous HTTP calls.
Using a Kalman Filter to interpolate bus position based on periodic measurements
Public transit ticketing system for customer issues and feedback with: inter-departmental routing with notifications, department/person assigments, simple workflow, ticket searching, pre-canned reports, daily reminders and more.