Random Forest Salinity Mapping
Random Forest Salinity Mapping is a machine learning–based salinity mapping method that employs the Random Forest algorithm to predict spatial soil salinity distributions by leveraging remotely sensed data and environmental covariates.
43
Publications
2.1K
Citations
214
Authors
114
Institutions
Publications per year
2017–2026
42
Parents
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Pham Viet Hoa, Vu Giang Nguyen, Nguyễn An Bình et al. · Remote Sensing · 2019 · 163 citations · Full text
Fei Wang, Shengtian Yang, Qian Shi et al. · The Science of The Total Environment · 2020 · 129 citations
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Xinjiang University
Ürümqi, China
8 h-index
42 publications
2.1K citations

Chinese Academy of Sciences
Beijing, China
5 h-index
11 publications
344 citations

University of Tehran
Tehran, Iran
3 h-index
4 publications
328 citations

University of Tübingen
Tübingen, Germany
3 h-index
5 publications
384 citations

Beijing Normal University
Beijing, China
3 h-index
3 publications
209 citations
Ardakan University
Ardakān, Iran
3 h-index
3 publications
250 citations
Shandong Agricultural University
Tai’an, China
3 h-index
11 publications
506 citations
China Agricultural University
Beijing, China
2 h-index
7 publications
217 citations
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10 publications · 637 citations
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3 publications · 273 citations
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JARS · 2 publications · 39 citations
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2 publications · 40 citations
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2 publications · 81 citations
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