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
Parents
164
Cloud-Screening and Quality Control Algorithms for the AERONET Database
A. Smirnov, B. N. Holben, T. F. Eck et al. · Remote Sensing of Environment · 2000 · 1.5K citations · Full text
Zhiqiang Xiao, Shunlin Liang, Jindi Wang et al. · IEEE Transactions on Geoscience and Remote Sensing · 2013 · 771 citations · Full text
Holger Vömel, Donald E. David, Katherine Smith · Journal of Geophysical Research Atmospheres · 2007 · 285 citations · Full text
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220
Goddard Space Flight Center
Greenbelt, United States
18 h-index
51 publications
14K citations

Chinese Academy of Sciences
Beijing, China
15 h-index
35 publications
1.6K citations
Wuhan University
Wuhan, China
12 h-index
36 publications
1.9K citations
State Key Laboratory of Remote Sensing Science
Beijing, China
11 h-index
40 publications
5.7K citations
University of Maryland, College Park
College Park, United States
10 h-index
16 publications
1.6K citations
National Oceanic and Atmospheric Administration
Washington, United States
8 h-index
11 publications
367 citations
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
Wuhan, China
7 h-index
18 publications
646 citations
Science Systems and Applications (United States)
Lanham, United States
7 h-index
21 publications
4K citations
1–8 of 220
23 publications · 2.5K citations
22
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18 publications · 4.1K citations
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18 publications · 820 citations
16
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8 publications · 2.4K citations
8
h-index
6 publications · 349 citations
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