There are 23 repositories under geospatial-data topic.
GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.
ππΊοΈ The most powerful leaflet plugin for drawing and editing geometry layers
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
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
Geospatial resources for web development :earth_africa: πΊοΈ
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 land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.
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.
A node-friendly typescript port of https://github.com/awslabs/dynamodb-geo
Introduction to Geospatial Raster and Vector Data with Python
(Spatial) data harmonisation with haleΒ»studio (formerly HUMBOLDT Alignment Editor)
A high level API for GDAL - Geospatial Data Abstraction Library
Tectonic maps for data analysis applications in solid Earth science
Python toolbox to process large geospatial vector files faster.
A geospatial raster processing library for machine learning
Introduction to Geospatial Raster and Vector Data with R
Discover how Matplotlib and Seaborn can help clearly communicate and present your newly acquired insight
Spatialite database JNI wrapper for Android
Python for Atmosphere and Ocean Scientists
StreetDrop πΆ Location based music sharing social service
Application of deep learning on Satellite Imagery of Sentinel-2 satellite that move around the earth from June, 2015. This image patches can be trained and classified using transfer learning techniques.
telluric is a Python library to manage vector and raster geospatial data in an interactive and easy way