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Gerard B M Heuvelink

Showing results (1-10 of 19) with videos related to

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Plos One|September 25, 2014
Incorporating DEM uncertainty in coastal inundation mappingJavier X Leon, Gerard B M Heuvelink, Stuart R Phinn
Journal of Environmental Quality|May 6, 2008
Effect of land cover data on nitrous oxide inventory in fen meadowsLinda Nol, Peter H Verburg, Gerard B M Heuvelink, et al.
Peerj|September 7, 2018
Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variablesTomislav Hengl, Madlene Nussbaum, Marvin N Wright, et al.
Heliyon|September 17, 2024
Random forest machine learning for maize yield and agronomic efficiency prediction in GhanaEric Asamoah, Gerard B M Heuvelink, Ikram Chairi, et al.
Peerj|August 22, 2020
Optimization of rain gauge sampling density for river discharge prediction using Bayesian calibrationAlexandre M J-C Wadoux, Gerard B M Heuvelink, Remko Uijlenhoet, et al.
Environmental Research|September 29, 2014
Impact of input data uncertainty on environmental exposure assessment models: A case study for electromagnetic field modelling from mobile phone base stationsJohan Beekhuizen, Gerard B M Heuvelink, Anke Huss, et al.
The Science of the Total Environment|October 22, 2010
Using rainfall radar data to improve interpolated maps of dose rate in the NetherlandsPaul H Hiemstra, Edzer J Pebesma, Gerard B M Heuvelink, et al.
The Science of the Total Environment|February 9, 2024
Using process-oriented model output to enhance machine learning-based soil organic carbon prediction in space and timeLei Zhang, Gerard B M Heuvelink, Vera L Mulder, et al.
Environmental Science & Technology|June 21, 2024
Importance of Terrain and Climate for Predicting Soil Organic Carbon Is Highly Variable across Local to Continental ScalesTianhong Tan, Giulio Genova, Gerard B M Heuvelink, et al.
Scientific Reports|September 15, 2018
Soil resources and element stocks in drylands to face global issuesCésar Plaza, Claudio Zaccone, Kasia Sawicka, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
Plos One|September 25, 2014
Incorporating DEM uncertainty in coastal inundation mappingJavier X Leon, Gerard B M Heuvelink, Stuart R Phinn
Journal of Environmental Quality|May 6, 2008
Effect of land cover data on nitrous oxide inventory in fen meadowsLinda Nol, Peter H Verburg, Gerard B M Heuvelink, et al.
Peerj|September 7, 2018
Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variablesTomislav Hengl, Madlene Nussbaum, Marvin N Wright, et al.
Heliyon|September 17, 2024
Random forest machine learning for maize yield and agronomic efficiency prediction in GhanaEric Asamoah, Gerard B M Heuvelink, Ikram Chairi, et al.
Peerj|August 22, 2020
Optimization of rain gauge sampling density for river discharge prediction using Bayesian calibrationAlexandre M J-C Wadoux, Gerard B M Heuvelink, Remko Uijlenhoet, et al.
Environmental Research|September 29, 2014
Impact of input data uncertainty on environmental exposure assessment models: A case study for electromagnetic field modelling from mobile phone base stationsJohan Beekhuizen, Gerard B M Heuvelink, Anke Huss, et al.
The Science of the Total Environment|October 22, 2010
Using rainfall radar data to improve interpolated maps of dose rate in the NetherlandsPaul H Hiemstra, Edzer J Pebesma, Gerard B M Heuvelink, et al.
The Science of the Total Environment|February 9, 2024
Using process-oriented model output to enhance machine learning-based soil organic carbon prediction in space and timeLei Zhang, Gerard B M Heuvelink, Vera L Mulder, et al.
Environmental Science & Technology|June 21, 2024
Importance of Terrain and Climate for Predicting Soil Organic Carbon Is Highly Variable across Local to Continental ScalesTianhong Tan, Giulio Genova, Gerard B M Heuvelink, et al.
Scientific Reports|September 15, 2018
Soil resources and element stocks in drylands to face global issuesCésar Plaza, Claudio Zaccone, Kasia Sawicka, et al.
Pageof 2