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

Authors

431

  1. PL
    Philippe Lagacherie

    Institut de Recherche pour le Développement, France

    9 publications · 820 citations

    9

    h-index

  2. RT
    Ruhollah Taghizadeh‐Mehrjardi

    University of Tübingen, Germany

    7 publications · 479 citations

    7

    h-index

  3. AZ
    A‐Xing Zhu

    University of Wisconsin–Madison, United States

    7 publications · 186 citations

    7

    h-index

  4. LY
    Lin Yang

    Chinese Academy of Sciences, China

    6 publications · 173 citations

    6

    h-index

  5. BM
    Budiman Minasny

    The University of Sydney, Australia

    6 publications · 994 citations

    6

    h-index

1–5 of 431

Venues

  1. Geoderma

    37 publications · 4K citations

    27

    h-index

  2. Geoderma Regional

    16 publications · 805 citations

    16

    h-index

  3. CATENA

    12 publications · 745 citations

    12

    h-index

  4. Pedosphere

    4 publications · 142 citations

    4

    h-index

  5. Environmental Monitoring and Assessment

    3 publications · 126 citations

    3

    h-index

1–5