Cloud Contamination Correction

Cloud Contamination Correction is a methodological framework in aerosol remote sensing that specifically addresses the removal or minimization of radiative interference from cloud-affected pixels to enable accurate retrieval of aerosol optical properties from satellite or ground-based observations.

164

Publications

15.5K

Citations

625

Authors

220

Institutions

Publications per year

2017–2026

52

Authors

625

  1. SL
    Shunlin Liang

    University of Maryland, College Park, United States

    4 publications · 874 citations

    4

    h-index

  2. CH
    Chuanmin Hu

    University of South Florida St. Petersburg, United States

    4 publications · 113 citations

    4

    h-index

  3. MX
    Meng Xu

    Shenzhen University, China

    4 publications · 392 citations

    4

    h-index

  4. XJ
    Xiuping Jia

    UNSW Sydney, Australia

    4 publications · 392 citations

    4

    h-index

  5. JC
    J. Cihlar

    Natural Resources Canada, Canada

    3 publications · 464 citations

    3

    h-index

1–5 of 625

Venues

  1. 22

    h-index

  2. International Journal of Remote Sensing

    18 publications · 4.1K citations

    17

    h-index

  3. Remote Sensing

    18 publications · 820 citations

    16

    h-index

  4. Remote Sensing of Environment

    8 publications · 2.4K citations

    8

    h-index

  5. Journal of Atmospheric and Oceanic Technology

    6 publications · 349 citations

    6

    h-index

1–5