Digital Soil Texture Mapping
Digital Soil Texture Mapping is a geospatial modeling technique that distinguishes itself by quantitatively predicting the spatial distribution of soil texture classes or particle size fractions across landscapes using statistical or machine learning methods integrated with environmental covariates.
113
Publications
7.7K
Citations
431
Authors
228
Institutions
Publications per year
2017–2026
69
Parents
113
Digital soil mapping: A brief history and some lessons
Budiman Minasny, Alex B. McBratney · Geoderma · 2015 · 725 citations
1–5 of 113
431
Institut de Recherche pour le Développement, France
9 publications · 820 citations
9
h-index
7
h-index
7
h-index
6
h-index
6
h-index
1–5 of 431
228

Chinese Academy of Sciences
Beijing, China
10 h-index
43 publications
3.1K citations

The University of Sydney
Sydney, Australia
9 h-index
18 publications
2.7K citations
Institute of Soil Science
Nanjing, China
9 h-index
33 publications
2.8K citations
University of Wisconsin–Madison
Madison, United States
8 h-index
9 publications
326 citations
Institute of Geographic Sciences and Natural Resources Research
Beijing, China
7 h-index
23 publications
734 citations

University of Tübingen
Tübingen, Germany
6 h-index
8 publications
669 citations
Institut de Recherche pour le Développement
Marseille, France
6 h-index
8 publications
217 citations
Nanjing Normal University
Nanjing, China
6 h-index
12 publications
291 citations
1–8 of 228
37 publications · 4K citations
27
h-index
16 publications · 805 citations
16
h-index
12 publications · 745 citations
12
h-index
4 publications · 142 citations
4
h-index
3 publications · 126 citations
3
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1–5