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You are here: Home / *BLOG / Around the Web / Data Tip – USGS LandsatLook Viewer

Data Tip – USGS LandsatLook Viewer

July 13, 2015 By GISuser

So, you’re interested in Landsat imagery for any place on Earth… well look no more!

Data Tip - USGS Landsat Look Viewer

Data Tip – USGS Landsat Look Viewer

This viewer provides visual and download access to the USGS LandsatLook “Natural Color” image product archive.

The LandsatLook Viewer displays the LandsatLook Natural Color image product for all Landsat 1-8 images in the USGS archive and was designed primarily for visualization purposes.

The imagery within this Viewer will be of value to anyone who wants to quickly see the full Landsat record for an area, along with major image features or obvious changes to Earth’s surface through time. An area of interest may be extracted and downloaded as a simple graphic file directly through the viewer, and the original full image tile is also available if needed. Any downloaded LandsatLook image product is a georeferenced file and will be compatible within most GIS and Web mapping applications.

If the user needs to perform detailed technical analysis, the full bands of Landsat source data may also be accessed through direct links provided on the LandsatLook Viewer.

The imagery that is visible on this LandsatLook Viewer is based on Web-based ArcGIS image services. The underlying REST service endpoints for the LandsatLook imagery are available athttp://landsatlook.usgs.gov/arcgis/rest/services/LandsatLook/ImageServer .

LandsatLook images are full resolution files derived from Landsat Level 1 data products. The images are compressed and stretched to create an image optimized for image selection and visual interpretation. It is recommended that these images not be used in image analysis.

Get started at http://landsatlook.usgs.gov/viewer.html

See Also:

  • Landsat Mission (USGS)
  • Landsat Science (NASA)
  • Landsat 8 OLI/TIRS

Filed Under: Around the Web, DATA, DATA FEATURES, Earth Imaging - Remote Sensing, Tips, Top Press Tagged With: Imagery, Landsat, Remote Sensing, satellilte, USGS

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