Cloud Mask Retrieval

Cloud Mask Retrieval is a satellite remote sensing method that distinguishes cloudy from clear-sky pixels in Earth observation imagery using multispectral radiance measurements to produce a binary classification map indicating the presence or absence of clouds.

207

Publications

20.8K

Citations

752

Authors

255

Institutions

Publications per year

2017–2026

64

Authors

752

  1. RF
    R. Frey

    University of Wisconsin–Madison, United States

    12 publications · 3.8K citations

    12

    h-index

  2. SP
    Steven Platnick

    Goddard Space Flight Center, United States

    9 publications · 4.3K citations

    9

    h-index

  3. SA
    Steven A. Ackerman

    University of Wisconsin–Madison, United States

    8 publications · 5.3K citations

    8

    h-index

  4. AK
    Andrew K. Heidinger

    NOAA National Environmental Satellite Data and Information Service, United States

    8 publications · 419 citations

    8

    h-index

  5. WP
    W. Paul Menzel

    University of Wisconsin–Madison, United States

    7 publications · 4.1K citations

    7

    h-index

1–5 of 752

Venues

  1. Remote Sensing of Environment

    25 publications · 5.5K citations

    23

    h-index

  2. 16

    h-index

  3. Remote Sensing

    17 publications · 498 citations

    15

    h-index

  4. Atmospheric measurement techniques

    14 publications · 1.5K citations

    12

    h-index

  5. International Journal of Remote Sensing

    11 publications · 736 citations

    11

    h-index

1–5