| Using data mining to model and interpret soil diffuse reflectance spectra RAV Rossel, T Behrens Geoderma 158 (1-2), 46-54, 2010 | 1314 | 2010 |
| A global spectral library to characterize the world's soil RAV Rossel, T Behrens, E Ben-Dor, DJ Brown, JAM Demattê, ... Earth-Science Reviews 155, 198-230, 2016 | 802 | 2016 |
| Soil organic carbon concentrations and stocks on Barro Colorado Island—Digital soil mapping using Random Forests analysis R Grimm, T Behrens, M Märker, H Elsenbeer Geoderma 146 (1-2), 102-113, 2008 | 782 | 2008 |
| Impacts of species richness on productivity in a large-scale subtropical forest experiment Y Huang, Y Chen, N Castro-Izaguirre, M Baruffol, M Brezzi, A Lang, Y Li, ... Science 362 (6410), 80-83, 2018 | 633 | 2018 |
| Multi-scale digital terrain analysis and feature selection for digital soil mapping T Behrens, AX Zhu, K Schmidt, T Scholten Geoderma 155 (3-4), 175-185, 2010 | 391 | 2010 |
| Digital soil mapping using artificial neural networks T Behrens, H Förster, T Scholten, U Steinrücken, ED Spies, M Goldschmitt Journal of plant nutrition and soil science 168 (1), 21-33, 2005 | 326 | 2005 |
| An approach to computing topographic wetness index based on maximum downslope gradient CZ Qin, AX Zhu, T Pei, BL Li, T Scholten, T Behrens, CH Zhou Precision agriculture 12, 32-43, 2011 | 244 | 2011 |
| The spectrum-based learner: A new local approach for modeling soil vis–NIR spectra of complex datasets L Ramirez-Lopez, T Behrens, K Schmidt, A Stevens, JAM Demattê, ... Geoderma 195, 268-279, 2013 | 208 | 2013 |
| Digital soil mapping in Germany—a review T Behrens, T Scholten Journal of Plant Nutrition and Soil Science 169 (3), 434-443, 2006 | 172 | 2006 |
| Improving the spatial prediction of soil organic carbon content in two contrasting climatic regions by stacking machine learning models and rescanning covariate space R Taghizadeh-Mehrjardi, K Schmidt, A Amirian-Chakan, T Rentschler, ... Remote Sensing 12 (7), 1095, 2020 | 157 | 2020 |
| Sampling optimal calibration sets in soil infrared spectroscopy L Ramirez-Lopez, K Schmidt, T Behrens, B Van Wesemael, JAM Demattê, ... Geoderma 226, 140-150, 2014 | 157 | 2014 |
| Assimilating satellite imagery and visible–near infrared spectroscopy to model and map soil loss by water erosion in Australia H Teng, RAV Rossel, Z Shi, T Behrens, A Chappell, E Bui Environmental Modelling & Software 77, 156-167, 2016 | 156 | 2016 |
| Spatial modelling with Euclidean distance fields and machine learning T Behrens, K Schmidt, RA Viscarra Rossel, P Gries, T Scholten, ... European journal of soil science 69 (5), 757-770, 2018 | 155 | 2018 |
| Continental-scale soil carbon composition and vulnerability modulated by regional environmental controls RA Viscarra Rossel, J Lee, T Behrens, Z Luo, J Baldock, A Richards Nature geoscience 12 (7), 547-552, 2019 | 142 | 2019 |
| Hyper-scale digital soil mapping and soil formation analysis T Behrens, K Schmidt, L Ramirez-Lopez, J Gallant, AX Zhu, T Scholten Geoderma 213, 578-588, 2014 | 135 | 2014 |
| Multi-scale digital soil mapping with deep learning T Behrens, K Schmidt, RA MacMillan, RA Viscarra Rossel Scientific reports 8 (1), 15244, 2018 | 128 | 2018 |
| Predictive soil mapping with limited sample data AX Zhu, J Liu, F Du, SJ Zhang, CZ Qin, J Burt, T Behrens, T Scholten European Journal of Soil Science 66 (3), 535-547, 2015 | 122 | 2015 |
| Distance and similarity-search metrics for use with soil vis–NIR spectra L Ramirez-Lopez, T Behrens, K Schmidt, RAV Rossel, JAM Demattê, ... Geoderma 199, 43-53, 2013 | 103 | 2013 |
| Multi-task convolutional neural networks outperformed random forest for mapping soil particle size fractions in central Iran R Taghizadeh-Mehrjardi, M Mahdianpari, F Mohammadimanesh, ... Geoderma 376, 114552, 2020 | 102 | 2020 |
| Improving the spatial prediction of soil salinity in arid regions using wavelet transformation and support vector regression models R Taghizadeh-Mehrjardi, K Schmidt, N Toomanian, B Heung, T Behrens, ... Geoderma 383, 114793, 2021 | 100 | 2021 |
Thomas ScholtenProfessor of Soil Science and Geomorphology在 uni-tuebingen.de 的电子邮件经过验证