Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

awesome-geospatial-list

A curated list of geospatial tools, data, tutorials, information, and more
https://github.com/jerr0328/awesome-geospatial-list

  • QGIS - A Free and Open Source Geographic Information System - Awesome for viewing raster and vector data.
  • GIMP - For editing visual (non-analytic) raster products.
  • GeoJSON.io - Online GeoJSON viewer/editor.
  • GDAL - Geospatial Data Abstraction Library - C/C++ library with Python bindings and helpful command line tools for handling many raster and vector geospatial data formats.
  • Rasterio - Python package for reading/writing raster datasets, based on GDAL.
  • Shapely - Python package for manipulation and analysis of planar geometric objects, based on GEOS.
  • GEOS - GEOS (Geometry Engine - Open Source) is a C++ port of the ​Java Topology Suite (JTS).
  • Copernicus - European Space Agency (ESA) provides vast amounts of public data, most notably Sentinel-1 for radar and Sentinel-2 for optical satellite data.
  • Landsat - Earth-observation satellites from the USGS.
  • AWS Earth - Amazon Web Services (AWS) provides several datasets, including Landsat 8, Sentinel-2, NEXRAD, OpenStreetMap, and more.
  • GIS StackExchange - Question and answer (Q&A) site for geospatial.
  • Gunter's Space Page - Info about spacecraft, launch vehicles, and launches.
  • GDAL Cheat Sheet - Cheat sheet for GDAL/OGR command-line tools.
  • Python GDAL/OGR Cookbook - Simple code snippets on how to use the Python GDAL/OGR API.
  • A Gentle Introduction to GDAL - A multi-part series on GDAL by Robert Simmon of Planet.
  • An Introduction to GDAL - A talk giving an awesome introduction to GDAL by Robert Simmon of Planet (at OpenVisConf 2017).
  • Python from Space: Analyzing Open Satellite Imagery Using the Python Ecosystem - Using Jupyter notebooks to do awesome things with satellite imagery by Katherine Scott of Planet (at PyCon 2017).
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