Satellite & Aerial Imagery - DigitalTopographyStudios/coords GitHub Wiki
Open Data
Commercial Open Datasets
- Planet
- Digital Globe Open Data
- Satellogic Open Impact - Repository to quickstart impact work with Satellogic [hyperspectral] data
Source Portals
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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.
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NASA Visible Earth - A catalog of NASA images and animations of our home planet
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EarthTime - EarthTime enables users to interact with visualizations of the Earth's transformation over time.
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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.
Guides and other aggregations
- Viewer of Viewers - Table of satellite imagery viewer platforms and data sources
- Acquiring satellite data - Some links/advice on getting and reading satellite data from Philip Austin's EOSC582 Course.
- Python From Space = Data Sources - Sources of public and commercial satellite imagery from Katherine Scott's Python From Space examples
Services
Sensors
Landsat
- Data
- Landsat Science Page - Data
- Landsat on AWS
- LandsatLook - Prototype tool that was developed to allow rapid online viewing and access to the USGS Landsat image archives.
- Landsat Analysis Ready Data (ARD) - U.S. Landsat Analysis Ready Data (ARD) are consistently processed to the highest scientific standards and level of processing required for direct use in monitoring and assessing landscape change.
- Articles & Resources
- #Landsaturated - A Quick Attempt to Catalogue the Burgeoning Underworld of Web-based Landsat Viewers. Article by Joe Morrison of Azavea
- Processing Landsat 8 Imagery - Article from TileMill Docs
- How To Make a True-Color Landsat 8 Image - NASA Earth Observatory article by Robert Simmon
Sentinel
- Sentinel Hub - Sentinel satellite imagery distribution service based on Sinergise's cloud GIS platform Geopedia
Modis
- Ocean color
- Modis level 1b
- Modis SST
- Modis level 2: cloud products
- Modis level 3: Atmosphere
- Modis land
Other Sensors/Missions/Datasets
- NASA Laadsweb
- Cloudsat
- CALIPSO Data and Information - Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations
- Global precipitation measurement mission
- NASA Surface radiation balance
- CERES EBAF - Earth radiation budget
- NSIDC - National Snow and Ice Data Center
- Microwave remote sensing
Journalism & Activism
Image Processing
- GIS Lounge - Open Source Imagery Processing - TODO: add these links elsewhere
- Orfeo ToolBox - Open Source processing of remote sensing images
- mapbox / montilecarlo
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.
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PREDICT - Open-source, multi-user satellite tracking and orbital prediction program written under the Linux operating system by John A. Magliacane, KD2BD.
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python-sgp4 - Python implementation of most recent version of the SGP4 satellite tracking algorithm.
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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.
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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.
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MapKitter - FOSS tool for combining and positioning images in geographic space into a composite image map
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MapMill - Share and sort aerial photos collaboratively
Aggregations
Articles, Resources & Learning
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EOSC 582: Satellite Remote Sensing - University of British Columbia remote sensing course by Philip Austin.
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A Gentle Introduction to GDAL - Intro to GDAL by Robert Simmon
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A hands-on guide to color correction - Planet blog article by Robert Simmon
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Making Sense of Satellite Data, An Open Source Workflow - Series by Robert Simmon
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Python From Space - Jupyter Notebook on accessing Planet satellite imagery
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satellite-imagery topic on Github - Python satellite imagery topic on Github
Misc
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TermTrack - Track orbiting objects (such as the International Space Station) in your terminal!
- CelesTrak - Master TLE Index - List of two-line element sets (TLE) of orbital elements for Earth-orbiting objects
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Tomnod - Digital Globe web app that lets volunteers work together to identify important objects and interesting places in satellite images.
Machine Learning
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Robosat - Mapbox Satellite imagery deep learning framework
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SkyNet-train - Training and test the SegNet neural network on satellite imagery by DevelopmentSeed
- skynet-scrub - GUI for editing machine learning outputs * skynet-scrub-server - Backing store for developmentseed/skynet-scrub
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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).
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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.
- Solaris - An open source machine learning pipeline for geospatial imagery
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Picterra - Geospatial cloud-based-platform specially designed for training deep learning based detectors, quickly and securely.
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geoML - Spatial modeling using machine learning concepts.