Satellite-based Drought Forecasting

Satellite-Based Drought Forecasting is a drought forecasting methodology that utilizes remote sensing data acquired from satellite platforms to monitor, assess, and predict drought conditions by analyzing植被, soil moisture, temperature, and other land surface indicators over large spatial scales.

72

Publications

5.3K

Citations

354

Authors

183

Institutions

Publications per year

2017–2026

42

Authors

354

  1. TT
    Tsegaye Tadesse

    University of Nebraska–Lincoln, United States

    6 publications · 375 citations

    6

    h-index

  2. CF
    Chris Funk

    University of California, Santa Barbara, United States

    4 publications · 160 citations

    4

    h-index

  3. JP
    J. P. Verdin

    United States Geological Survey, United States

    3 publications · 146 citations

    3

    h-index

  4. FK
    Felix Kogan

    NOAA National Environmental Satellite Data and Information Service, United States

    3 publications · 765 citations

    3

    h-index

  5. EF
    Eric F. Wood

    Princeton University, United States

    3 publications · 667 citations

    3

    h-index

1–5 of 354

Venues

  1. Remote Sensing

    10 publications · 533 citations

    10

    h-index

  2. International Journal of Remote Sensing

    4 publications · 344 citations

    4

    h-index

  3. Bulletin of the American Meteorological Society

    BAMS · 4 publications · 1.1K citations

    4

    h-index

  4. International Journal of Climatology

    3 publications · 144 citations

    3

    h-index

  5. Journal of Hydrometeorology

    3 publications · 274 citations

    3

    h-index

1–5