Madlene Nussbaum

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

Tomislav Hengl, Madlene Nussbaum, Marvin N. Wright et al. · PeerJ · 2018 · 1K citations · Full text

Evaluation of digital soil mapping approaches with large sets of environmental covariates

Madlene Nussbaum, Kay Spiess, Andri Baltensweiler et al. · SOIL · 2018 · 276 citations · Full text

Soil Functions, Engineering, Land Use +17

Mapping the geogenic radon potential for Germany by machine learning

Eric Petermann, Hanna Meyer, Madlene Nussbaum et al. · The Science of The Total Environment · 2020 · 77 citations · Full text

Environmental Monitoring, Engineering, Forestry +20

Machine learning based soil maps for a wide range of soil properties for the forested area of Switzerland

Andri Baltensweiler, Lorenz Walthert, Marc Hanewinkel et al. · Geoderma Regional · 2021 · 71 citations · Full text

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

Tomislav Hengl, Madlene Nussbaum, Marvin N. Wright et al. · 2018 · 59 citations · Full text

Engineering, Machine Learning, Geospatial Modeling +25