GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.
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Updated
Dec 23, 2024 - C++
GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.
🍂🗺️ The most powerful leaflet plugin for drawing and editing geometry layers
Satellite imagery for dummies.
Geocomputation with R: an open source book
A curated list of awesome tools, tutorials, code, projects, links, stuff about Earth Observation, Geospatial Satellite Imagery
High-level geospatial data visualization library for Python.
Community Datasets added by users and made available for use at large
Transform, query, and download geospatial data on the web.
Course materials for: Geospatial Data Science
A list of open geospatial datasets available on AWS, Earth Engine, Planetary Computer, NASA CMR, and STAC Index
Distributed version-control for geospatial and tabular data
A Python package develop for transportation spatio-temporal big data processing, analysis and visualization.
Geospatial resources for web development 🌍 🗺️
Repository for Digital Earth Australia Jupyter Notebooks: tools and workflows for geospatial analysis with Open Data Cube and Xarray
Tutorial on geospatial data manipulation with Python
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.
THREDDS Data Server v4.6
OSM in memory
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