WebGL2 powered visualization framework
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Updated
Jun 19, 2023 - JavaScript
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 Geographic Information System (GIS)
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
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
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.
Awesome Frontend GIS is a collection of geospatial-related resources for front end web development
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/grass82/addons/grass-8.2.0/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/
Extract and Visualize location from any file
A Python package for installing optional dependencies for geemap and leafmap.
Pipeline for Observational Data Processing Analysis and Collaboration
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