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geospatial-data
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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
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.
Distributed version-control for geospatial and tabular data
Course materials for: Geospatial Data Science
A list of open geospatial datasets available on AWS, Earth Engine, Planetary Computer, NASA CMR, and STAC Index
A Python package develop for transportation spatio-temporal big data processing, analysis and visualization.
GeoWave provides geospatial and temporal indexing on top of Accumulo, HBase, BigTable, Cassandra, Kudu, Redis, RocksDB, and DynamoDB.
Open-source Jupyter Notebooks and Python tools for geospatial analysis with Digital Earth Australia, Open Data Cube, and Xarray
Tutorial on geospatial data manipulation with Python
An open standard for querying geospatial information on the web.
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.
Raster manipulation for the Julia language