Landsat 8

Description

An ongoing collection of satellite imagery of all land on Earth produced by the Landsat 8 satellite.

Update Frequency

New Landsat 8 scenes are added regularly as soon as they are available.

License

There are no restrictions on the use of data received from the U.S. Geological Survey's Earth Resources Observation and Science (EROS) Center or NASA's Land Processes Distributed Active Archive Center (LP DAAC), unless expressly identified prior to or at the time of receipt. More information on licensing and Landsat data citation is available from USGS.

Documentation

https://docs.opendata.aws/landsat-pds/readme.html

Managed By

See all datasets managed by Planet.

Contact

https://lists.osgeo.org/mailman/listinfo/landsat-pds

Usage Examples

Tutorials

• A Gentle Introduction to GDAL Part 4: Working with Satellite Data by Planet
  
• Exploring the Chile wildfires with Landsat and Sentinel-2 imagery by Timothy Whitehead
  
• Integrate imagery from the full Landsat archive into your own apps, maps, and analysis with Landsat image services by Esri
  
• Using Cloud-Optimized GeoTIFF by acgeospatial
  
• Using Vector tiles and AWS Lambda, we can build a really simple API to get Landsat and Sentinel images by Remote Pixel
  

Tools & Applications

• Aggi: the fire detecting Twitter bot by Aggi
  
• Apps for exploring and analyzing Landsat imagery on the fly by Esri
  
• COG-Explorer - View Cloud Optimized GeoTIFF images in the browser directly from object storage by EOX
  
• Development Seed Geolambda by Matthew Hanson
  
• Dynamic map tiling with Cloud-Optimized GeoTIFFs by Kyle Barron
  
• EOS Land Viewer by Earth Observing System
  
• FME Landsat-8 on AWS Reader by Safe Software
  
• FME Landsat-8/Sentinel-2 File Selector by Safe Software
  
• landsatlive.live by Development Seed
  
• Sentinel Hub WMS/WMTS/WCS Service for Landsat by Sinergise
  
• Sentinel Playground for Landsat by Sinergise
  
• Spectator - tracking Landsat 8, accessing the data and quick preview by Spectator
  

Publications

• Using Remote Sensing Images and Cloud Services on AWS to Improve Land Use and Cover Monitoring by K. R. Ferreira, et al.