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.

Geospatial resources for web development :earth_africa: 🗺️

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.

No description provided.

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.

Python library for the Tessera embeddings

THREDDS Data Server v4.6

Raster manipulation for the Julia language

Python based framework to retreive Global Database of Events, Language, and Tone (GDELT) version 1.0 and version 2.0 data.

OSM in memory

A node-friendly typescript port of https://github.com/awslabs/dynamodb-geo

Python toolbox to process large geospatial vector files faster.

Tectonic maps for data analysis applications in solid Earth science

Introduction to Geospatial Raster and Vector Data with Python

(Spatial) data harmonisation with hale»studio (formerly HUMBOLDT Alignment Editor)

A high level API for GDAL - Geospatial Data Abstraction Library