Cloud Mask Validation

Cloud Mask Validation is a methodological framework within satellite data validation that systematically assesses the accuracy and reliability of cloud detection algorithms by comparing their outputs against reference observations to distinguish true cloud cover from clear-sky conditions.

151

Publications

13.3K

Citations

609

Authors

201

Institutions

Publications per year

2017–2026

53

Authors

609

  1. RF
    R. Frey

    University of Wisconsin–Madison, United States

    8 publications · 1.5K citations

    8

    h-index

  2. AK
    Andrew K. Heidinger

    NOAA National Environmental Satellite Data and Information Service, United States

    7 publications · 342 citations

    7

    h-index

  3. SA
    Steven A. Ackerman

    University of Wisconsin–Madison, United States

    6 publications · 1.4K citations

    6

    h-index

  4. KD
    Keith D. Hutchison

    The University of Texas at Austin, United States

    5 publications · 228 citations

    5

    h-index

  5. MM
    Min Min

    China Meteorological Administration, China

    5 publications · 419 citations

    5

    h-index

1–5 of 609

Venues

  1. Remote Sensing of Environment

    17 publications · 4K citations

    16

    h-index

  2. International Journal of Remote Sensing

    15 publications · 956 citations

    13

    h-index

  3. Remote Sensing

    14 publications · 637 citations

    13

    h-index

  4. 12

    h-index

  5. Journal of Atmospheric and Oceanic Technology

    7 publications · 1.2K citations

    7

    h-index

1–5