Tomislav Hengl
Tomislav Hengl
Director, OpenGeoHub foundation / Envirometrix Ltd, Wageningen
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SoilGrids250m: Global gridded soil information based on machine learning
T Hengl, J Mendes de Jesus, GBM Heuvelink, M Ruiperez Gonzalez, ...
PLoS one 12 (2), e0169748, 2017
A generic framework for spatial prediction of soil variables based on regression-kriging
T Hengl, GBM Heuvelink, A Stein
Geoderma 120 (1-2), 75-93, 2004
SoilGrids1km—global soil information based on automated mapping
T Hengl, JM De Jesus, RA MacMillan, NH Batjes, GBM Heuvelink, ...
PloS one 9 (8), e105992, 2014
A practical guide to geostatistical mapping
T Hengl
Hengl 52, 15, 2009
About regression-kriging: From equations to case studies
T Hengl, GBM Heuvelink, DG Rossiter
Computers & geosciences 33 (10), 1301-1315, 2007
Soil carbon debt of 12,000 years of human land use
J Sanderman, T Hengl, GJ Fiske
Proceedings of the National Academy of Sciences 114 (36), 9575-9580, 2017
Finding the right pixel size
T Hengl
Computers & geosciences 32 (9), 1283-1298, 2006
Mapping soil properties of Africa at 250 m resolution: Random forests significantly improve current predictions
T Hengl, GBM Heuvelink, B Kempen, JGB Leenaars, MG Walsh, ...
PloS one 10 (6), e0125814, 2015
Geomorphometry: concepts, software, applications
T Hengl, HI Reuter
Elsevier, 2008
Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables
T Hengl, M Nussbaum, MN Wright, GBM Heuvelink, B Gräler
PeerJ 6, e5518, 2018
Geomorphometry: a brief guide
RJ Pike, IS Evans, T Hengl
Developments in soil science 33, 3-30, 2009
Islands as model systems in ecology and evolution: Prospects fifty years after MacArthur‐Wilson
BH Warren, D Simberloff, RE Ricklefs, R Aguilée, FL Condamine, ...
Ecology Letters 18 (2), 200-217, 2015
Heavy metals in European soils: a geostatistical analysis of the FOREGS Geochemical database
LR Lado, T Hengl, HI Reuter
Geoderma 148 (2), 189-199, 2008
Improving performance of spatio-temporal machine learning models using forward feature selection and target-oriented validation
H Meyer, C Reudenbach, T Hengl, M Katurji, T Nauss
Environmental Modelling & Software 101, 1-9, 2018
A global map of mangrove forest soil carbon at 30 m spatial resolution
J Sanderman, T Hengl, G Fiske, K Solvik, MF Adame, L Benson, ...
Environmental Research Letters 13 (5), 055002, 2018
Spatio-temporal prediction of daily temperatures using time-series of MODIS LST images
T Hengl, GBM Heuvelink, M Perčec Tadić, EJ Pebesma
Theoretical and applied climatology 107, 265-277, 2012
Soil nutrient maps of Sub-Saharan Africa: assessment of soil nutrient content at 250 m spatial resolution using machine learning
T Hengl, JGB Leenaars, KD Shepherd, MG Walsh, GBM Heuvelink, ...
Nutrient Cycling in Agroecosystems 109, 77-102, 2017
Mapping the global depth to bedrock for land surface modeling
W Shangguan, T Hengl, J Mendes de Jesus, H Yuan, Y Dai
Journal of Advances in Modeling Earth Systems 9 (1), 65-88, 2017
Spatio-temporal interpolation of daily temperatures for global land areas at 1 km resolution
M Kilibarda, T Hengl, G Heuvelink, B Graeler, E Pebesma, ...
Journal of geophysical research 148, 2013
Methods to interpolate soil categorical variables from profile observations: Lessons from Iran
T Hengl, N Toomanian, HI Reuter, MJ Malakouti
Geoderma 140 (4), 417-427, 2007
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Artículos 1–20