Split-window Algorithms
Split-Window Algorithms is a class of empirical radiative transfer correction methods that estimate land surface temperature from thermal infrared observations by exploiting the differential atmospheric absorption between two adjacent spectral bands, typically in the 10–12 μm range, to account for atmospheric water vapor effects.
300
Publications
23.1K
Citations
791
Authors
306
Institutions
Publications per year
2017–2026
112
300
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Institute of Agricultural Resources and Regional Planning, China
16 publications · 639 citations
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Institute of Geographic Sciences and Natural Resources Research, China
10 publications · 177 citations
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Chinese Academy of Sciences
Beijing, China
25 h-index
149 publications
6.6K citations
State Key Laboratory of Remote Sensing Science
Beijing, China
24 h-index
111 publications
7.4K citations
Universitat de València
Valencia, Spain
21 h-index
70 publications
9.2K citations
Institute of Geographic Sciences and Natural Resources Research
Beijing, China
16 h-index
45 publications
2.4K citations

Peking University
Beijing, China
15 h-index
69 publications
4K citations

Beijing Normal University
Beijing, China
15 h-index
39 publications
2.3K citations
University of Chinese Academy of Sciences
Beijing, China
15 h-index
38 publications
998 citations
Institute of Agricultural Resources and Regional Planning
Beijing, China
13 h-index
38 publications
1.3K citations
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51 publications · 3.7K citations
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JGR · 16 publications · 3.3K citations
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