Landsat 7 automatic cloud cover assessment

Richard R. Irish

doi:10.1117/12.410358

23 August 2000 Landsat 7 automatic cloud cover assessment

Richard R. Irish;

Author Affiliations +

Proceedings Volume 4049, Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VI; (2000) https://doi.org/10.1117/12.410358
Event: AeroSense 2000, 2000, Orlando, FL, United States

Abstract

An automatic cloud cover assessment algorithm was developed for the Landsat 7 ground system. A scene dependent approach that employs two passes through ETM+ data was developed. In pass one, the reflective and thermal properties of scene features are used to establish the presence or absence of clouds in a scene. If present, a scene-specific thermal profile for clouds is established. In pass two, a unique thermal signature for clouds is developed and used to identify the remaining clouds in a scene. The algorithm appears to be a good cloud discriminator for most areas of the Earth. Some difficulty has appeared in imagery over Antarctica, and snow at high illumination angles is occasionally mistaken for cloud.

Citation Download Citation

Richard R. Irish, "Landsat 7 automatic cloud cover assessment", Proc. SPIE 4049, Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VI, (23 August 2000); doi: 10.1117/12.410358; https://doi.org/10.1117/12.410358

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