WebGL2 powered visualization framework

Long list of geospatial tools and resources

A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment

GRASS GIS - free and open-source geospatial processing engine

A collection of Python packages for geospatial analysis with binder-ready notebook examples

Geo Spatial Data Analytics on Spark

Course materials for: Geospatial Data Science

Geospatial resources for web development 🌍 🗺️

Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.

MicaSense RedEdge and Altum image processing tutorials

Python library for fast, interactive geospatial vector data visualization in Jupyter.

a package to create and plot Voronoi regions within geographic boundaries

Over 60 recipes to work with topology, overlays and indoor routing

A Python library for performing geospatial data analysis which reimplements turf.js.

A lightweight and efficient Python Morton encoder with support for geo-hashing

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-8.3.1/logs/)

Actinia Core is an open source REST API for scalable, distributed, high performance processing of geographical data that uses mainly GRASS GIS for computational tasks (DOI: https://doi.org/10.5281/zenodo.5879231) | Tutorial: https://actinia-org.github.io/actinia-core/ | Docker: https://hub.docker.com/r/mundialis/actinia-core

🌐 Interactive Workshop on GeoAnalysis using PySpark

WASM + JS port of GEOS

An open-source benchmark framework for evaluating state-of-the-art deep learning approaches for image classification in Earth Observation (EO)