Predictive Soil Mapping
Predictive Soil Mapping is a geospatial modeling approach that systematically infers the spatial distribution of soil properties or classes by leveraging environmental covariates and statistical or machine learning methods to predict soil variation in unsampled locations.
146
Publications
10K
Citations
529
Authors
249
Institutions
Publications per year
2017–2026
79
Variants
Digital Soil Mapping
146
Mapping high resolution National Soil Information Grids of China
Feng Liu, Huayong Wu, Yu-Guo Zhao et al. · Science Bulletin · 2021 · 583 citations · Full text
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529
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249

Chinese Academy of Sciences
Beijing, China
15 h-index
48 publications
6.3K citations

The University of Sydney
Sydney, Australia
12 h-index
25 publications
4.3K citations
Institute of Geographic Sciences and Natural Resources Research
Beijing, China
11 h-index
26 publications
2.3K citations
Institute of Soil Science
Nanjing, China
8 h-index
30 publications
4.3K citations
Nanjing Normal University
Nanjing, China
8 h-index
15 publications
1.2K citations
University of Chinese Academy of Sciences
Beijing, China
7 h-index
17 publications
2.9K citations
University of Wisconsin–Madison
Madison, United States
7 h-index
16 publications
1K citations
Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application
Nanjing, China
6 h-index
11 publications
596 citations
1–8 of 249
37 publications · 3.4K citations
29
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10 publications · 634 citations
10
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5 publications · 556 citations
5
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4 publications · 238 citations
4
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SSSAJ · 4 publications · 219 citations
4
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