| TreeSatAI Benchmark Archive: A multi-sensor, multi-label dataset for tree species classification in remote sensing S Ahlswede, C Schulz, C Gava, P Helber, B Bischke, M Förster, F Arias, ... Earth System Science Data Discussions 2022, 1-22, 2022 | 34 | 2022 |
| Hedgerow object detection in very high-resolution satellite images using convolutional neural networks S Ahlswede, S Asam, A Röder Journal of Applied Remote Sensing 15 (1), 018501-018501, 2021 | 12 | 2021 |
| Weakly supervised semantic segmentation of remote sensing images for tree species classification based on explanation methods S Ahlswede, NT Madam, C Schulz, B Kleinschmit, B Demir IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 8 | 2022 |
| Using the Formozov–Malyshev–Pereleshin formula to convert mammal spoor counts into density estimates for long‐term community‐level monitoring S Ahlswede, EC Fabiano, D Keeping, K Birkhofer African Journal of Ecology 57 (2), 177-189, 2019 | 6 | 2019 |
| 3D Tree Models S Lamprecht, S Ahlswede Precision Farming of Hazelnut Orchards (PANTHEON), 2020 | 1 | 2020 |
| Downstream Service/Application Development for Monitoring of Environmental Indicators-Hedgerow Mapping S Asam, S Ahlswede, J Kriese, U Gessner, J Buchner, K Kerler, ... | | 2022 |
| Optimization of Convolutional Neural Networks for Hedgerow Object Detection in Very High-Resolution Satellite Images S Ahlswede Universität Trier, 2020 | | 2020 |
| Drought Stress Detection M Gilcher, S Ahlswede, C Silvestri, M Paolocci | | |
