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
#Awesome#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.
#Awesome#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
GeoWave provides geospatial and temporal indexing on top of Accumulo, HBase, BigTable, Cassandra, Kudu, Redis, RocksDB, and DynamoDB.
A Python package develop for transportation spatio-temporal big data processing, analysis and visualization.
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
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...
Raster manipulation for the Julia language