Cloud Interference Correction

Cloud Interference Correction is a methodological framework in atmospheric remote sensing that enables the accurate retrieval of vertical atmospheric profiles from satellite radiance measurements by mitigating the radiative effects of clouds through physical or statistical modeling.

29

Publications

1.6K

Citations

98

Authors

41

Institutions

Publications per year

2017–2026

11

Authors

98

  1. JC
    J. Cihlar

    Natural Resources Canada, Canada

    2 publications · 118 citations

    2

    h-index

  2. ZL
    Zhanqing Li

    University of Maryland, College Park, United States

    2 publications · 118 citations

    2

    h-index

  3. AC
    Ana Cláudia Teodoro

    Universidade do Porto, Portugal

    1 publications · 33 citations

    1

    h-index

  4. MX
    Miaomiao Xu

    Nanjing University of Science and Technology, China

    1 publications · 13 citations

    1

    h-index

  5. YX
    Yuyue Xu

    Nanjing University, China

    1 publications · 22 citations

    1

    h-index

1–5 of 98

Venues

  1. Remote Sensing

    5 publications · 279 citations

    5

    h-index

  2. Journal of Geophysical Research Atmospheres

    JGR · 3 publications · 131 citations

    3

    h-index

  3. Applied Optics

    2 publications · 27 citations

    2

    h-index

  4. Journal of Atmospheric and Oceanic Technology

    2 publications · 94 citations

    2

    h-index

  5. International Journal of Remote Sensing

    2 publications · 656 citations

    2

    h-index

1–5