Cloud Contamination Detection
Cloud Contamination Detection is a methodological framework in remote sensing that identifies and filters cloud-affected pixels in satellite imagery to ensure accurate surface temperature retrieval by distinguishing cloudy from clear-sky conditions based on spectral, temporal, or spatial anomalies.
167
Publications
10K
Citations
635
Authors
264
Institutions
Publications per year
2017–2026
57
167
Holger Vömel, Donald E. David, Katherine Smith · Journal of Geophysical Research Atmospheres · 2007 · 285 citations · Full text
The assimilation of AIRS radiance data at ECMWF
A. P. McNally, P. D. Watts, J. A. Smith et al. · Quarterly Journal of the Royal Meteorological Society · 2006 · 263 citations
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Chinese Academy of Sciences
Beijing, China
16 h-index
56 publications
2.6K citations
Goddard Space Flight Center
Greenbelt, United States
13 h-index
34 publications
1.7K citations
National Oceanic and Atmospheric Administration
Washington, United States
9 h-index
12 publications
553 citations
Wuhan University
Wuhan, China
8 h-index
20 publications
1.3K citations
State Key Laboratory of Remote Sensing Science
Beijing, China
8 h-index
28 publications
1.2K citations
Aerospace Information Research Institute
Beijing, China
6 h-index
17 publications
874 citations
University of Chinese Academy of Sciences
Beijing, China
5 h-index
14 publications
589 citations
NOAA Center for Satellite Applications and Research
College Park, United States
5 h-index
8 publications
285 citations
1–8 of 264
20 publications · 1.3K citations
20
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19 publications · 1.1K citations
16
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14 publications · 630 citations
13
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GRSL · 7 publications · 460 citations
7
h-index
7 publications · 354 citations
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