WebGL2 powered visualization framework
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Updated
Jun 12, 2024 - TypeScript
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
Geo Spatial Data Analytics on Spark
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-8.3.2/logs/)
MicaSense RedEdge and Altum image processing tutorials
A collection of Python packages for geospatial analysis with binder-ready notebook examples
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.
Course materials for: Geospatial Data Science
Over 60 recipes to work with topology, overlays and indoor routing
This repo is used to organize and collaborate in sprints for code projects, hackathons, STAC and metadata specs development
🌐 Interactive Workshop on GeoAnalysis using PySpark
Public Fused UDFs. Build any scale workflows with the Fused Python SDK and Workbench webapp, and integrate them into your stack with the Fused Hosted API.
a package to create and plot Voronoi regions within geographic boundaries
A Python library for performing geospatial data analysis which reimplements turf.js.
A Python library for fast, interactive geospatial vector data visualization in Jupyter.
A crash course into using Python for geospatial analysis.
AI bootcamp 2019 materials.
Extract and Visualize location from any file
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