Landsat Missions

Cloud Cover Assessment Validation Datasets

Landsat Cloud Cover Assessment (CCA) validation datasets are comprised of satellite imagery with accompanying cloud truth masks that specify which Landsat pixels in the scene are cloudy or clear, or have other conditions such as cloud shadow or snow cover. 

The cloud truth masks were created manually by operators digitizing clouds by hand using image-editing software.  These masks are essential for validating existing CCA algorithms and can also be used to train new cloud detection algorithms.

Landsat 7 Cloud Cover Assessment Validation Data

Landsat 7 Cloud Cover Assessment Validation Data

Used to validate CCA algorithms for Landsat 7 ETM+ and Landsat 4-5 TM data, and to develop new CCA algorithms for the Landsat 8 OLI instrument prior to launch.

L7 Validation Data

Landsat 8 Cloud Cover Assessment Validation Data

Landsat 8 Cloud Cover Assessment Validation Data

Created to validate CCA algorithms for Landsat 8 OLI / TIRS data.

L8 Validation Data

Spatial Procedures for Automated Removal of Cloud and Shadow

Spatial Procedures for Automated Removal of Cloud and Shadow

Derived manually from Landsat 8 OLI scenes to validate cloud and cloud shadow masking.

SPARCS Data