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
Parents
72
Global integrated drought monitoring and prediction system
Zengchao Hao, Amir AghaKouchak, Navid Nakhjiri et al. · Scientific Data · 2014 · 755 citations · Full text
Nathan O. Agutu, Joseph L. Awange, Ayalsew Zerihun et al. · Remote Sensing of Environment · 2017 · 244 citations · Full text
1–5 of 72
354
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NOAA National Environmental Satellite Data and Information Service, United States
3 publications · 765 citations
3
h-index
3
h-index
1–5 of 354
183
University of Nebraska–Lincoln
Lincoln, United States
8 h-index
15 publications
949 citations
United States Geological Survey
Reston, United States
4 h-index
6 publications
354 citations

Chinese Academy of Sciences
Beijing, China
4 h-index
15 publications
796 citations
University of California, Santa Barbara
Santa Barbara, United States
3 h-index
13 publications
642 citations
NOAA Center for Satellite Applications and Research
College Park, United States
3 h-index
4 publications
913 citations
Princeton University
Princeton, United States
3 h-index
9 publications
3K citations
Goddard Space Flight Center
Greenbelt, United States
3 h-index
14 publications
780 citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
5 publications
309 citations
1–8 of 183
10 publications · 533 citations
10
h-index
4 publications · 344 citations
4
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BAMS · 4 publications · 1.1K citations
4
h-index
3 publications · 144 citations
3
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3 publications · 274 citations
3
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1–5