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What data changes or improvements will be applied during Collection 1 reprocessing?

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What data changes or improvements will be applied during Collection 1 reprocessing?


Along with the new Landsat Product Identifier, new files and additions to metadata are also being implemented and delivered with the Level-1 data products:

New Files included in Level-1 data products

NOTE: Adding these files creates a larger Level-1 data product. See this FAQ for a comparison of file sizes between Pre-Collection and Collection 1 data products.

Additions to the Metadata (MTL.txt) file

  • Saturation bits field identifies which bands contain saturated pixels (Landsat 4-5 TM, Landsat 7 ETM+, Landsat 8 OLI/TIRS)
  • Land cloud cover assessment estimates the percent of the land in a scene that is covered by clouds (Landsat 1-7; Landsat 8 already displays)

New Cloud Cover Algorithm

The C Function of Mask (CFMask) algorithm will be used to populate fill, cloud, cloud confidence, cloud shadow, and snow/ice in Landsat 4-5, Landsat 7, and Landsat 8 scenes, and will be populated in the Quality Assessment (QA) band.                                                                                                                             

Specific for Landsat 8 OLI/TIRS

Removal of Sensor Chip Assemblies (SCA) overlaps from Band 9 and Band 10

Processing Level Designation Changes

The processing level designations will be changing in Collection 1 Level-1 data products. The table below displays the levels currently used compared to those being implemented for Collection 1 data products.

Landsat Processing Levels

The Landsat Collections Web page contains the details about all aspects of the Collection 1 effort.


Landsat represents the world's longest continuously acquired collection of space-based moderate-resolution land remote sensing data. Four decades of imagery provides a unique resource for those who work in agriculture, geology, forestry, regional planning, education, mapping, and global change research. Landsat images are also invaluable for emergency response and disaster relief.


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