Satellite & Aerial Imagery - DigitalTopographyStudios/coords GitHub Wiki

Open Data

Commercial Open Datasets

Source Portals

  • NASA WorldView - App from NASA's EOSDIS provides the capability to interactively browse over 600 global, full-resolution satellite imagery layers and then download the underlying data.

  • NASA Visible Earth - A catalog of NASA images and animations of our home planet

  • EarthTime - EarthTime enables users to interact with visualizations of the Earth's transformation over time.

  • USGS LandLook Viewer - A prototype tool that was developed to allow rapid online viewing and access to the USGS Landsat and Sentinel-2 image archives.

  • Imagehunter

Guides and other aggregations

Services

Sensors

Landsat

Sentinel

Modis

Other Sensors/Missions/Datasets

Journalism & Activism

Image Processing

Tools

  • telluric - telluric is a Python library by Satellogic to manage vector and raster geospatial data in an interactive and easy way
  • Open Data Cube - Open Source project providing data to manage satellite data for Earth Observation.
  • bv - Quickly view satellite imagery, hyperspectral imagery, and machine learning image outputs directly in your iTerm2 terminal.
  • tv - Quickly view (satellite) imagery directly in your terminal using Unicode 9.0 characters and true color.
  • ascii_qgis - ASCII maps for QGIS projects
  • gj2ascii - Render spatial vectors as ASCII and/or emoji on the command line with Python.

satellite.js - Modular set of functions for SGP4 and SDP4 propagation of TLEs.

  • PREDICT - Open-source, multi-user satellite tracking and orbital prediction program written under the Linux operating system by John A. Magliacane, KD2BD.

    • JsPredict - A Javascript port of the popular predict satellite tracking library
    • pypredict - PyPredict is a C Python extension directly adapted from the ubiquitous predict satellite tracking command line application.
  • python-sgp4 - Python implementation of most recent version of the SGP4 satellite tracking algorithm.

  • CSPP - Community Satellite Processing Package - The Community Satellite Processing Package (CSPP) supports the Direct Broadcast (DB) meteorological and environmental satellite community through the packaging and distribution of open source science software. CSPP supports DB users of both polar orbiting and geostationary satellite data processing and regional real-time applications through distribution of free open source software, and through training in local product applications.

  • SIFT - Satellite Information Familiarization Tool - A meteorological satellite imagery visualization software application with a graphical user interface designed at the University of Wisconsin Space Science and Engineering Center (SSEC) to run on mid-range consumer grade computers and notebooks. Built on Python, SIFT runs on Windows, Mac, and some Linux operating systems.

  • MapKitter - FOSS tool for combining and positioning images in geographic space into a composite image map

  • MapMill - Share and sort aerial photos collaboratively

Aggregations

Articles, Resources & Learning

Misc

  • TermTrack - Track orbiting objects (such as the International Space Station) in your terminal!

  • Tomnod - Digital Globe web app that lets volunteers work together to identify important objects and interesting places in satellite images.

Machine Learning

  • Robosat - Mapbox Satellite imagery deep learning framework

  • SkyNet-train - Training and test the SegNet neural network on satellite imagery by DevelopmentSeed

  • Raster Vision - Open source Python framework from Azavea for building computer vision models on satellite, aerial, and other large imagery sets (including oblique drone imagery).

  • CosmiQ Works - CosmiQ Works has focused on the geospatial analytics market and provided technical insights, targeted research, and reports. Our work supports In-Q-Tel’s mission of accelerating the development and delivery of cutting-edge technologies to U.S. intelligence and defense agencies that keep our nation safe.

  • Picterra - Geospatial cloud-based-platform specially designed for training deep learning based detectors, quickly and securely.

  • geoML - Spatial modeling using machine learning concepts.