Global Soil Grids

Global Soil Grids is a comprehensive, gridded soil property and class dataset that provides standardized, spatially explicit, global-scale predictions of soil characteristics at multiple depths, generated through digital soil mapping techniques and underpinned by machine learning models trained on a global compilation of soil profile data.

21

Publications

3.6K

Citations

471

Authors

279

Institutions

Publications per year

2017–2026

7

Authors

471

  1. NB
    N.H. Batjes

    ISRIC - World Soil Information, Netherlands

    4 publications · 1.5K citations

    4

    h-index

  2. LP
    Laura Poggio

    James Hutton Institute, United Kingdom

    2 publications · 99 citations

    2

    h-index

  3. MK
    Martin Kopecký

    Czech Academy of Sciences, Institute of Botany, Czechia

    2 publications · 340 citations

    2

    h-index

  4. JA
    Juha Aalto

    Finnish Meteorological Institute, Finland

    2 publications · 340 citations

    2

    h-index

  5. TW
    Thomas W. Crowther

    ETH Zurich, Switzerland

    2 publications · 340 citations

    2

    h-index

1–5 of 471

Venues

  1. PLoS ONE

    2 publications · 1.3K citations

    2

    h-index

  2. 2

    h-index

  3. Socio-Environmental Systems Modeling

    SESMO · 2 publications · 145 citations

    2

    h-index

  4. Environmental Modelling & Software

    1 publications · 58 citations

    1

    h-index

  5. Global Change Biology

    1 publications · 311 citations

    1

    h-index

1–5