Thomas Scholten

发表

A novel convolutional neural network for digital soil mapping

Thorsten Behrens, Masoud Mahdianpari, Fariba Mohammadimanesh, 2019 .

Predicting and Mapping of Soil Organic Carbon Using Machine Learning Algorithms in Northern Iran

Amir Mosavi, Ruhollah Taghizadeh-Mehrjardi, Thomas Scholten, 2020, Remote. Sens..

Synthetic resampling strategies and machine learning for digital soil mapping in Iran

Mohammad Jamshidi, Thorsten Behrens, Ruhollah Taghizadeh-Mehrjardi, 2020, European Journal of Soil Science.

Erosion modeling in Central China : soil data acquisition by conditioned Latin Hypercube Sampling and incorporation of legacy data; [EGU General Assembly 2013; 07-12 April 2013, Vienna, Austria]

Sarah Schönbrodt-Stitt, Thorsten Behrens, Thomas Scholten, 2013 .

Integrating legacy soil information in a Digital Soil Mapping approach based on a modified conditioned Latin Hypercube Sampling design

Thorsten Behrens, Thomas Scholten, Karsten Schmidt, 2014 .

Multi-scale digital terrain analysis and feature selection for digital soil mapping

A-Xing Zhu, Thorsten Behrens, A-Xing Zhu, 2010 .

A Distributed Neural Network Architecture for Robust Non-Linear Spatio-Temporal Prediction

Martin V. Butz, Sebastian Otte, Matthias Karlbauer, 2019, ESANN.

Improving the Spatial Prediction of Soil Organic Carbon Content in Two Contrasting Climatic Regions by Stacking Machine Learning Models and Rescanning Covariate Space

Thorsten Behrens, Roozbeh Valavi, Tobias Rentschler, 2020, Remote. Sens..

Enhancing the accuracy of machine learning models using the super learner technique in digital soil mapping

Maryam Hassanzadeh, Ruhollah Taghizadeh-Mehrjardi, Thomas Scholten, 2021 .

Spatio-Temporal Analysis of Heavy Metals in Arid Soils at the Catchment Scale Using Digital Soil Assessment and a Random Forest Model

Ruhollah Taghizadeh-Mehrjardi, Thomas Scholten, Brandon Heung, 2021, Remote. Sens..

Optimization of Rain Gauge Networks for Arid Regions Based on Remote Sensing Data

Peter Dietrich, Ruhollah Taghizadeh-Mehrjardi, Thomas Scholten, 2021, Remote. Sens..

Spatial prediction of soil thickness with Gaussian Process Regression using pedological knowledge described by partial differential equations

Philipp Hennig, Tobias Rentschler, Thomas Scholten, 2021 .

Bio-Inspired Hybridization of Artificial Neural Networks: An Application for Mapping the Spatial Distribution of Soil Texture Fractions

Amir Mosavi, Ruhollah Taghizadeh-Mehrjardi, Thomas Scholten, 2021, Remote. Sens..

Comparative Analysis of TMPA and IMERG Precipitation Datasets in the Arid Environment of El-Qaa Plain, Sinai

Silas C. Michaelides, Peter Dietrich, Thomas Scholten, 2021, Remote. Sens..

Sampling optimal calibration sets in soil infrared spectroscopy

Thorsten Behrens, Thomas Scholten, Bas van Wesemael, 2014 .

Potential CO2 emissions from defrosting permafrost soils of the Qinghai-Tibet Plateau under different scenarios of climate change in 2050 and 2070

Thomas Scholten, Karsten Schmidt, Jinsheng He, 2017 .

Assessing the USLE crop and management factor C for soil erosion modeling in a large mountainous watershed in Central China

Thorsten Behrens, Thomas Scholten, T. Behrens, 2010 .

Degradation of cultivated bench terraces in the Three Gorges Area: Field mapping and data mining

Sarah Schönbrodt-Stitt, Thorsten Behrens, Thomas Scholten, 2013 .

Comparison of conditioned Latin hypercube and feature space coverage sampling for predicting soil classes using simulation from soil maps

A-Xing Zhu, Thomas Scholten, Tianwu Ma, 2020 .

SoilTemp: A global database of near‐surface temperature

Jonas Ardö, Ben Somers, Nico Eisenhauer, 2020, Global change biology.

Spatial and vertical variation of soil carbon at two grassland sites — Implications for measuring soil carbon stocks

Thomas Scholten, Axel Don, Michael Scherer-Lorenzen, 2007 .

An Approach to Removing Uncertainties in Nominal Environmental Covariates and Soil Class Maps

Thorsten Behrens, Thomas Scholten, Karsten Schmidt, 2008 .

Instance selection and classification tree analysis for large spatial datasets in digital soil mapping

Thorsten Behrens, Thomas Scholten, Karsten Schmidt, 2008 .

The ConMap approach for terrain-based digital soil mapping

A-Xing Zhu, Thorsten Behrens, Thomas Scholten, 2010 .

An approach to computing topographic wetness index based on maximum downslope gradient

Tao Pei, A-Xing Zhu, Cheng-Zhi Qin, 2011, Precision Agriculture.

Approximation and spatial regionalization of rainfall erosivity based on sparse data in a mountainous catchment of the Yangtze River in Central China

Sarah Schönbrodt-Stitt, Thorsten Behrens, Thomas Scholten, 2013, Environmental Science and Pollution Research.

The spectrum-based learner: A new local approach for modeling soil vis–NIR spectra of complex datasets

Thomas Scholten, Antoine Stevens, José Alexandre Melo Demattê, 2013 .

Predictive soil mapping with limited sample data

A-Xing Zhu, Cheng-Zhi Qin, Thorsten Behrens, 2015 .

Analysis on pedodiversity and spatial subset representativity—the German soil map 1:1,000,000

Thorsten Behrens, Thomas Scholten, Volker Hennings, 2009 .

Pedogenesis, permafrost, and soil moisture as controlling factors for soil nitrogen and carbon contents across the Tibetan Plateau

Thomas Scholten, Jin-Sheng He, Karsten Schmidt, 2009 .

Digital soil mapping in Germany—a review

Thorsten Behrens, Thomas Scholten, T. Behrens, 2006 .

Thorsten Behrens, Thomas Scholten, José Alexandre Melo Demattê, 2013 .

Soil Respiration in Tibetan Alpine Grasslands: Belowground Biomass and Soil Moisture, but Not Soil Temperature, Best Explain the Large-Scale Patterns

Shaopeng Wang, Thomas Scholten, Hui Zeng, 2012, PloS one.

Incorporating limited field operability and legacy soil samples in a hypercube sampling design for digital soil mapping

Sarah Schönbrodt-Stitt, Thorsten Behrens, Thomas Scholten, 2016 .