Open Source Software

Provides fast and efficient tools for processing and visualizing LiDAR point clouds.

Framework for Operational Radiometric Correction for Environmental monitoring

The open collection of aerial imagery

A C library for parsing and normalizing street addresses worldwide using statistical NLP.

A collaborative deep learning framework for conservation, enabling the creation and sharing of AI models.

A library for efficiently handling and applying diffs for geospatial data.

Async TIFF reader for Rust and Python.

An application for visualizing and exploring fire event data.

A flight software and embedded systems framework developed by NASA for reliable and reusable software.

A simplified, touch-optimized interface for QGIS designed for efficient field data collection.

A general-purpose Python package for simulating terrestrial, mobile, and airborne laser scanning surveys.

An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.

A free and open-source software suite for optimal conservation planning.

A library for fast and accurate raster zonal statistics.

GeoServer is an open source server for sharing geospatial data.

An open-source software-defined receiver for Global Navigation Satellite System signals.

Satellite image time series analysis for Earth Observation data cubes.

A color correction plugin for rasterio, designed for geospatial rasters.

A command line toolkit to generate maps, point clouds, 3D models, and DEMs from drone, balloon, or kite images.

Drone mapping software for generating maps, point clouds, 3D models, and DEMs from various image sources.

An online map creator that simplifies building custom interactive maps with OpenStreetMap data for your website.

An open-source online book providing an introduction to geographic data science using R.

A light-weight, versatile XYZ tile server for raster data, built with Flask and Rasterio.

Visualizes the path of a rain droplet from any point to its endpoint using USGS/MERIT Basin data.

A PyTorch implementation of Google Research's MetNet and MetNet-2 for advanced weather forecasting.

GeoNode is an open source platform that facilitates the creation, sharing, and collaborative use of geospatial data.

An InSAR phase linking library for creating surface displacement maps.

A Python package for robust point cloud registration using various probabilistic models.

A translator library for raster and vector geospatial data formats, released under an MIT style Open Source License.

A curated collection of papers, data, and repositories related to super-resolution.

Open-source Python software for 3D structural geomodeling with implicit and probabilistic capabilities.

A fast, versatile and user-friendly landscape evolution model.

A Python library for geospatial image resampling and reprojection.

Learn to work with geographic data in Python through practical, open-source geocomputation.

A cluster computing system for processing large-scale spatial data with distributed Spatial SQL.

Free and open source software for aerial data storage and management.