Open Source Software

Entwine is a powerful data organization library specifically built for managing massive point cloud datasets, including those with trillions of points. It can index anything readable by PDAL, supporting various sources like S3 and Dropbox. The library ensures completely lossless builds, preserving all points, metadata, and precision.

This GitHub repository provides tools and methods for performing road corrections and measurements using Airborne Laser Scanning (ALS) data. It focuses on extracting valuable information about road infrastructure from high-resolution LiDAR scans. The project aims to facilitate accurate analysis and management of road networks.

Satlas Super Resolution offers globally generated AI-enhanced imagery for 2023, aiming for high accuracy and frequent updates. This GitHub repository provides the training and inference code, data, and model weights for the super-resolution outputs. It supports the mission of Satlas to provide open, AI-generated geospatial data.

This GitHub repository serves as a comprehensive collection of tools and libraries for working with GeoJSON data. It aims to make the process of manipulating, validating, and visualizing geospatial information more efficient and accessible for developers and GIS professionals alike.

EOReader is a powerful open-source Python library designed for remote sensing applications. It provides a sensor-agnostic framework for reading and processing data from a wide range of optical and Synthetic Aperture Radar (SAR) satellite constellations. Users can efficiently load and stack various components such as spectral bands, cloud masks, Digital Elevation Models (DEMs), and spectral indices, simplifying complex satellite imagery workflows.

H3 is a discrete global grid system, developed at Uber, designed for indexing geographies into a hexagonal grid. It enables efficient joining and aggregation of disparate datasets at various precision levels. The system supports a range of algorithms and optimizations for grid-based geospatial operations.

FlatGeobuf provides a high-performance binary encoding solution for geographic data, utilizing flatbuffers to store collections of Simple Features, including circular interpolations. It is engineered for handling large volumes of static data, offering substantially faster performance compared to legacy formats without limitations on content or metadata size. The format supports streaming, random access, and includes an optional spatial index based on a packed Hilbert R-Tree for rapid bounding box spatial filtering.

Rtree is a Python library that provides a spatial index, a critical component for Geographic Information Systems (GIS) applications. This tool enables developers to efficiently query and manage geospatial data, significantly speeding up operations like finding objects within a certain area or determining intersections. It leverages R-tree data structures for optimized performance in spatial lookups.

GRASS GIS is a powerful open-source geospatial processing engine designed for advanced modeling, time series analysis, and spatial data management. It supports terrain and ecosystem modeling, hydrology, and imagery processing, offering robust capabilities for large-scale analysis.

Open-Meteo offers an open-source weather API providing free access for non-commercial applications without the need for an API key. It delivers hourly weather forecasts for up to 16 days, historical weather data spanning 80 years, and integrates various global and regional weather models.

leafmap is a Python package designed for interactive geospatial analysis and mapping. It simplifies complex GIS tasks within Jupyter environments, enabling users to create dynamic maps and perform advanced spatial analysis with minimal coding.

OSGeo, the Open Source Geospatial Foundation, champions the global adoption of open geospatial technology. It serves as an inclusive software foundation, supporting a wide array of open-source projects and initiatives. The foundation provides resources for community engagement, education, and news within the open-source geo ecosystem.

Loop is an open-source platform for 3D probabilistic geological and geophysical modelling. Initiated by Geoscience Australia and OneGeology, it is funded by various Australian geological surveys, the Australian Research Council, and the MinEx CRC, supporting advanced subsurface analysis.

Cartographer is an open-source software system designed to provide robust real-time simultaneous localization and mapping (SLAM) capabilities. It supports both 2D and 3D environments, enabling precise navigation and mapping across various platforms and sensor configurations. This system is crucial for applications requiring accurate self-localization and environmental modeling.

vecnet is an open-source project hosted on GitHub, developed by r-lidar-lab, focused on the automated vectorization of road networks. This tool is designed to process geospatial data, likely LiDAR or similar imagery, to extract and convert road features into vector formats. It aims to streamline the creation of structured road network data for various GIS and transportation applications.

GeoMesa is an open-source suite of tools designed for large-scale geospatial querying and analytics on distributed systems. It provides spatio-temporal indexing on top of databases like Accumulo, HBase, Redis, and Cassandra for massive data storage. The platform also supports near real-time stream processing by layering spatial semantics on Apache Kafka and facilitates integration with mapping clients via GeoServer and OGC APIs.

Titiler is an open-source project hosted on GitHub by Development Seed, providing a powerful tool to create dynamic map tile services from raster data. It enables users to serve geospatial imagery and other raster datasets as web-friendly tiles, facilitating interactive mapping applications.

GeostatsPy is a robust Python package designed for spatial data analytics and geostatistics. It began as a reimplementation of GSLIB (Geostatistical Library) from Fortran to Python, making advanced geostatistical methods accessible. The package now includes numerous additional methods, supporting both 2D and 3D spatial analysis and simulation.

Martin is an open-source, high-performance tile server designed for geospatial data. It provides efficient serving of tiles from PostGIS databases, MBtiles, and PMtiles formats. Additionally, it offers robust tooling for tile generation and management, making it a comprehensive solution for web mapping applications.

The protomaps/basemaps GitHub repository offers a robust solution for creating custom basemaps. It focuses on generating PMTiles, an efficient single-file format for vector and raster tiles, directly from OpenStreetMap data. The project also includes various cartographic styles, enabling users to customize the visual presentation of their maps.

This website serves as a comprehensive catalog for community datasets accessible within Google Earth Engine. It provides users with organized access to a wide array of geospatial data, along with resources to facilitate their exploration and utilization. The platform also features tutorials, publications, and tools for getting started with GEE community assets.

This GitHub repository compiles a comprehensive collection of open-source and proprietary tools, libraries, data, and educational materials related to GNSS. It serves as a central hub for developers, researchers, and enthusiasts looking for resources in satellite navigation. The list covers various platforms, including Android, iOS, and desktop, alongside academic and social media resources.

This open-source project provides ready-to-use basemaps for mapping historical data on global or continental scales. The datasets consist of georeferenced boundaries of past political entities, primarily for academic and research applications. Users are encouraged to verify the data against other sources due to its work-in-progress nature.

Kats is a toolkit developed by Facebook's Infrastructure Data Science team for time series analysis. It provides a lightweight, easy-to-use, and generalizable framework to perform various tasks from understanding key statistics, detecting change points and anomalies, to forecasting future trends. The framework aims to be a one-stop shop for detection, forecasting, feature extraction/embedding, and multivariate analysis in time series data.

Ai2, founded by Paul Allen, conducts high-impact research and engineering to tackle key problems in artificial intelligence. This institute focuses on developing and providing open models, applications for science and the environment, and advancing AI research.

OmniCloudMask is a Python library designed for state-of-the-art cloud and cloud shadow segmentation in high to moderate resolution satellite imagery. It offers higher accuracy and supports a wide range of resolutions, sensors, and processing levels, validated on data from Sentinel-2, PlanetScope, Landsat, and Maxar.

Whitebox Geospatial is the home of WhiteboxTools, an open-source, fast, and innovative geospatial software. It offers a suite of tools and workflows for Python, along with extensions and a core library, enabling advanced geospatial analysis. The platform emphasizes open-source development and provides resources for learning and implementation.

Organic Maps is a free Android & iOS offline maps application designed for travelers, tourists, hikers, and cyclists. It leverages crowd-sourced OpenStreetMap data and is developed by the community, emphasizing no ads, tracking, or data collection. Users are encouraged to donate to support its development.

TopoToolbox is a suite of MATLAB-based software tools designed for advanced topographic and geomorphological analysis. It provides functionalities for processing and interpreting digital elevation models, with applications spanning hydrology, erosion, and landscape evolution studies. The software is actively developed and maintained, offering robust capabilities for scientific research and data analysis.

rGEDI is an R package designed for working with NASA's Global Ecosystem Dynamics Investigation (GEDI) data. It provides a suite of functions for downloading, visualizing, clipping, gridding, simulating, and exporting GEDI data. This package facilitates comprehensive analysis and management of GEDI geospatial information within the R environment.

S1Tiling is an open-source software project hosted on GitLab, designed for the automatic ortho-rectification of Sentinel-1 Synthetic Aperture Radar (SAR) data. It processes this data to align with the Sentinel-2 tiling grid, making it suitable for integration with optical imagery analysis. The tool aims to simplify the preparation of Sentinel-1 data for various geospatial applications.

This GitHub repository hosts an open-source project dedicated to the detection of mining activities. It provides tooling and code for analyzing geospatial data to identify and monitor mining operations, contributing to environmental awareness. The project likely leverages remote sensing and machine learning techniques for automated detection.

leaflet-geoman is a robust and feature-rich plugin designed to extend the capabilities of Leaflet, a popular JavaScript library for interactive maps. It empowers developers to easily integrate drawing and editing tools for various geometry layers directly into their web mapping applications. This plugin simplifies the process of creating, modifying, and managing geospatial data within a browser environment.

libpointmatcher is a robust and modular C++ library designed for aligning point clouds using the Iterative Closest Point (ICP) algorithm. It provides essential functionalities for 2D and 3D mapping tasks, making it highly valuable for applications in robotics and computer vision. The library also offers convenient Python bindings for broader accessibility.

lonboard is a powerful Python library designed to enable rapid and interactive visualization of geospatial vector data. It integrates seamlessly into Jupyter notebooks, providing a robust solution for data scientists and GIS professionals to explore and analyze spatial information directly within their development environment.

DeepForest is an open-source Python package designed for tree crown detection and analysis in airborne RGB imagery. It leverages deep learning techniques to process high-resolution aerial data, providing tools for ecological research and conservation. The package aims to streamline the extraction of individual tree information from diverse environmental datasets.