Tomislav Hengl

Research interests

Publications

• African soil properties and nutrients mapped at 30 m spatial resolution using two-scale ensemble machine learning

  Scientific Reports · 2021 · 10.1038/s41598-021-85639-y

• Soil structure is an important omission in Earth System Models

  Nature Communications · 2020 · https://doi.org/10.1038/s41467-020-14411-z

• A global map of mangrove forest soil carbon at 30 m spatial resolution

  Environmental Research Letters · 2018 · 10.1088/1748-9326/aabe1c

• Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables

  PeerJ · 2018 · 10.7717/peerj.5518

• Global mapping of potential natural vegetation: an assessment of machine learning algorithms for estimating land potential

  PeerJ · 2018 · 10.7717/peerj.5457

• Soil Property and Class Maps of the Conterminous United States at 100‐Meter Spatial Resolution

  Soil Science Society of America Journal · 2018 · 10.2136/sssaj2017.04.0122

• Improving performance of spatio-temporal machine learning models using forward feature selection and target-oriented validation

  Environmental Modelling & Software · 2017 · 10.1016/j.envsoft.2017.12.001

• WoSIS: providing standardised soil profile data for the world

  Earth system science data · 2017 · 10.5194/essd-9-1-2017

• Soil nutrient maps of Sub-Saharan Africa: assessment of soil nutrient content at 250 m spatial resolution using machine learning

  Nutrient Cycling in Agroecosystems · 2017 · 10.1007/s10705-017-9870-x

• Soil carbon debt of 12,000 years of human land use

  Proceedings of the National Academy of Sciences · 2017 · 10.1073/pnas.1706103114

• 3D soil hydraulic database of Europe at 250 m resolution

  Hydrological Processes · 2017 · 10.1002/hyp.11203

• SoilGrids250m: Global gridded soil information based on machine learning

  PLoS ONE · 2017 · 10.1371/journal.pone.0169748

• Mapping the global depth to bedrock for land surface modeling

  Journal of Advances in Modeling Earth Systems · 2016 · 10.1002/2016ms000686

• Islands as model systems in ecology and evolution: prospects fifty years after MacArthur‐Wilson

  Ecology Letters · 2015 · 10.1111/ele.12398

• Mapping Soil Properties of Africa at 250 m Resolution: Random Forests Significantly Improve Current Predictions

  PLoS ONE · 2015 · 10.1371/journal.pone.0125814

• Spatio‐temporal interpolation of daily temperatures for global land areas at 1 km resolution

  Journal of Geophysical Research Atmospheres · 2014 · 10.1002/2013jd020803

• SoilGrids1km — Global Soil Information Based on Automated Mapping

  PLoS ONE · 2014 · 10.1371/journal.pone.0105992

• Spatio-temporal prediction of daily temperatures using time-series of MODIS LST images

  Theoretical and Applied Climatology · 2011 · 10.1007/s00704-011-0464-2

• A Practical Guide to Geostatistical Mapping

  · 2009

• Geomorphometry - Concepts, Software, Applications

  Developments in psychiatry · 2009 · 10.1016/s0166-2481(08)x0001-7

• Heavy metals in European soils: A geostatistical analysis of the FOREGS Geochemical database

  Geoderma · 2008 · 10.1016/j.geoderma.2008.09.020

• A practical guide to geostatistical mapping of environmental variables

  · 2007

• About regression-kriging: From equations to case studies

  Computers & Geosciences · 2007 · 10.1016/j.cageo.2007.05.001

• Finding the right pixel size

  Computers & Geosciences · 2006 · 10.1016/j.cageo.2005.11.008

• A generic framework for spatial prediction of soil variables based on regression-kriging

  Geoderma · 2003 · https://doi.org/10.1016/j.geoderma.2003.08.018

Current projects

No projects listed.