| 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 | 321 | 2018 |
| Importance of spatial predictor variable selection in machine learning applications–Moving from data reproduction to spatial prediction H Meyer, C Reudenbach, S Wöllauer, T Nauss Ecological Modelling 411, 108815, 2019 | 261 | 2019 |
| Predicting into unknown space? Estimating the area of applicability of spatial prediction models H Meyer, E Pebesma Methods in Ecology and Evolution, 2021 | 219 | 2021 |
| Mapping daily air temperature for Antarctica based on MODIS LST H Meyer, M Katurji, T Appelhans, MU Müller, T Nauss, P Roudier, ... Remote Sensing 8 (9), 732, 2016 | 118 | 2016 |
| Retrieval of grassland plant coverage on the Tibetan Plateau based on a multi-scale, multi-sensor and multi-method approach LW Lehnert, H Meyer, Y Wang, G Miehe, B Thies, C Reudenbach, ... Remote sensing of Environment 164, 197-207, 2015 | 112 | 2015 |
| Machine learning-based global maps of ecological variables and the challenge of assessing them H Meyer, E Pebesma Nature Communications 13 (1), 2208, 2022 | 103 | 2022 |
| Hyperspectral data analysis in R: The hsdar package LW Lehnert, H Meyer, WA Obermeier, B Silva, B Regeling, J Bendix arXiv preprint arXiv:1805.05090, 2018 | 103 | 2018 |
| Comparison of four machine learning algorithms for their applicability in satellite-based optical rainfall retrievals H Meyer, M Kühnlein, T Appelhans, T Nauss Atmospheric research 169, 424-433, 2016 | 103 | 2016 |
| Spatio-temporal interpolation of soil water, temperature, and electrical conductivity in 3D+ T: The Cook Agronomy Farm data set CK Gasch, T Hengl, B Gräler, H Meyer, TS Magney, DJ Brown Spatial Statistics 14, 70-90, 2015 | 91 | 2015 |
| A hyperspectral indicator system for rangeland degradation on the Tibetan Plateau: A case study towards spaceborne monitoring LW Lehnert, H Meyer, N Meyer, C Reudenbach, J Bendix Ecological Indicators 39, 54-64, 2014 | 75 | 2014 |
| Regional-scale controls on the spatial activity of rockfalls (Turtmann Valley, Swiss Alps)—A multivariate modeling approach K Messenzehl, H Meyer, JC Otto, T Hoffmann, R Dikau Geomorphology 287, 29-45, 2017 | 71 | 2017 |
| Mapping fractional woody cover in semi-arid savannahs using multi-seasonal composites from Landsat data TP Higginbottom, E Symeonakis, H Meyer, S van der Linden ISPRS Journal of Photogrammetry and Remote Sensing 139, 88-102, 2018 | 63 | 2018 |
| CAST:“caret” Applications for spatial-temporal models H Meyer, C Milà, M Ludwig, J Linnenbrink R package version 0.4 2, 2018 | 52 | 2018 |
| Projecting land-use and land-cover changes in a tropical mountain forest of Southern Ecuador B Thies, H Meyer, T Nauss, J Bendix Journal of Land Use Science 9 (1), 1-33, 2014 | 52 | 2014 |
| Machine learning and multi-sensor based modelling of woody vegetation in the Molopo Area, South Africa M Ludwig, T Morgenthal, F Detsch, TP Higginbottom, ML Valdes, T Nauß, ... Remote Sensing of Environment 222, 195-203, 2019 | 48 | 2019 |
| Environmental changes affecting the Andes of Ecuador T Peters, T Drobnik, H Meyer, M Rankl, M Richter, R Rollenbeck, B Thies, ... Ecosystem services, biodiversity and environmental change in a tropical …, 2013 | 48 | 2013 |
| Mapping the geogenic radon potential for Germany by machine learning E Petermann, H Meyer, M Nussbaum, P Bossew Science of The Total Environment 754, 142291, 2021 | 45 | 2021 |
| From local spectral measurements to maps of vegetation cover and biomass on the Qinghai-Tibet-Plateau: do we need hyperspectral information? H Meyer, LW Lehnert, Y Wang, C Reudenbach, T Nauss, J Bendix International Journal of Applied Earth Observation and Geoinformation 55, 21-31, 2017 | 45 | 2017 |
| Automatic classification of Google Earth images for a larger scale monitoring of bush encroachment in South Africa A Ludwig, H Meyer, T Nauss International journal of applied earth observation and geoinformation 50, 89-94, 2016 | 45 | 2016 |
| hsdar: Manage, analyse and simulate hyperspectral data in R LW Lehnert, H Meyer, J Bendix R Package Version 0.4 1, 2016 | 43 | 2016 |
Thomas NaussProfessor for Environmental Informatics, Marburg UniversityVerified email at staff.uni-marburg.de
