| CAST:“caret” Applications for spatial-temporal models H Meyer, C Milà, M Ludwig, J Linnenbrink R package version 0.4 2, 2018 | 67 | 2018 |
| 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 | 62 | 2019 |
| Introduction of an automatic and open‐source radio‐tracking system for small animals J Gottwald, R Zeidler, N Friess, M Ludwig, C Reudenbach, T Nauss Methods in Ecology and Evolution 10 (12), 2163-2172, 2019 | 52 | 2019 |
| Assessing and improving the transferability of current global spatial prediction models M Ludwig, A Moreno‐Martinez, N Hölzel, E Pebesma, H Meyer Global Ecology and Biogeography 32 (3), 356-368, 2023 | 36 | 2023 |
| Quality assessment of photogrammetric methods—A workflow for reproducible UAS orthomosaics M Ludwig, C M. Runge, N Friess, TL Koch, S Richter, S Seyfried, ... Remote Sensing 12 (22), 3831, 2020 | 28 | 2020 |
| CAST:‘caret’applications for spatial-temporal models. R package version 0.6. 0 H Meyer, M Ludwig | 21 | 2022 |
| PioLaG: a piosphere landscape generator for savanna rangeland modelling B Hess, N Dreber, Y Liu, K Wiegand, M Ludwig, H Meyer, KM Meyer Landscape Ecology 35 (9), 2061-2082, 2020 | 17 | 2020 |
| A CMOS RISC CPU with on-chip parallel cache E Rashid, E Delano, K Chan, M Buckley, J Zheng, F Schumacher, ... Proceedings of IEEE International Solid-State Circuits Conference-ISSCC'94 …, 1994 | 17 | 1994 |
| kNNDM: k-fold Nearest Neighbour Distance Matching Cross-Validation for map accuracy estimation J Linnenbrink, C Milà, M Ludwig, H Meyer EGUsphere 2023, 1-16, 2023 | 7 | 2023 |
| Package ‘CAST’ H Meyer, C Reudenbach, M Ludwig, T Nauss, MH Meyer CRAN, Wien 13, 2020 | 6 | 2020 |
| Developing transferable spatial prediction models: a case study of satellite based landcover mapping M Ludwig, J Bahlmann, E Pebesma, H Meyer The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2022 | 5 | 2022 |
| Using GEDI as training data for an ongoing mapping of landscape-scale dynamics of the plant area index A Ziegler, J Heisig, M Ludwig, C Reudenbach, H Meyer, T Nauss Environmental Research Letters 18 (7), 075003, 2023 | 4 | 2023 |
| Nature 4.0-Intelligent networked systems for ecosystem monitoring N Friess, M Ludwig, C Reudenbach, T Nauss EGU General Assembly Conference Abstracts, 22058, 2020 | 2 | 2020 |
| High-resolution soil temperature and soil moisture patterns in space, depth and time: An interpretable machine learning modelling approach M Baumberger, B Haas, S Sivakumar, M Ludwig, N Meyer, H Meyer Geoderma 451, 117049, 2024 | 1 | 2024 |
| Random forests with spatial proxies for environmental modelling: opportunities and pitfalls C Milà, M Ludwig, E Pebesma, C Tonne, H Meyer Geoscientific Model Development 17 (15), 6007-6033, 2024 | 1 | 2024 |
| Optimizing drone-based surface models for prescribed fire monitoring C Mestre-Runge, M Ludwig, MT Sebastià, J Plaixats, A Lobo Fire 6 (11), 419, 2023 | 1 | 2023 |
| Leveraging readily available heterogeneous LiDAR data to enhance modeling of successional stages at tree species level in temperate forests L Bald, A Ziegler, J Gottwald, TL Koch, M Ludwig, H Meyer, S Wöllauer, ... OSF, 0 | 1 | |
| Recent trends in moisture conditions across European peatlands L Giese, M Baumberger, M Ludwig, H Schneidereit, E Sánchez, ... Remote Sensing Applications: Society and Environment 37, 101385, 2025 | | 2025 |
| Soil carbon in the world’s tidal marshes TL Maxwell, MD Spalding, DA Friess, NJ Murray, K Rogers, AS Rovai, ... Nature Communications 15 (1), 10265, 2024 | | 2024 |
| Estimation of local training data point densities to support the assessment of spatial prediction uncertainty FL Schumacher, C Knoth, M Ludwig, H Meyer EGUsphere 2024, 1-25, 2024 | | 2024 |
