| Object Detection and Image Segmentation with Deep Learning on Earth Observation Data: A Review-Part I: Evolution and Recent Trends T Hoeser, C Kuenzer Remote Sensing 12 (10), 2020 | 308 | 2020 |
| Object Detection and Image Segmentation with Deep Learning on Earth Observation Data: A Review—Part II: Applications T Hoeser, F Bachofer, C Kuenzer Remote Sensing 12 (18), 3053, 2020 | 139 | 2020 |
| Rock‐glacier dams in High Asia JH Blöthe, S Rosenwinkel, T Höser, O Korup Earth Surface Processes and Landforms 44 (3), 808-824, 2019 | 30 | 2019 |
| Analysing the Capabilities and Limitations of InSAR using Sentinel-1 Data for Landslide Detection and Monitoring T Höser Department of Geograph University of Bonn, 2018 | 28 | 2018 |
| DeepOWT: A global offshore wind turbine data set derived with deep learning from Sentinel-1 data T Hoeser, S Feuerstein, C Kuenzer Earth System Science Data 14 (9), 4251-4270, 2022 | 17 | 2022 |
| SyntEO: Synthetic dataset generation for earth observation and deep learning–Demonstrated for offshore wind farm detection T Hoeser, C Kuenzer ISPRS Journal of Photogrammetry and Remote Sensing 189, 163-184, 2022 | 15 | 2022 |
| Elevation change of Bhasan Char measured by persistent scatterer interferometry using Sentinel-1 data in a humanitarian context A Braun, T Höser, JMD Blasco European Journal of Remote Sensing, 1-18, 2020 | 14 | 2020 |
| Global dynamics of the offshore wind energy sector monitored with Sentinel-1: Turbine count, installed capacity and site specifications T Hoeser, C Kuenzer International Journal of Applied Earth Observation and Geoinformation 112 …, 2022 | 9 | 2022 |
| Deep Learning on Synthetic Data Enables the Automatic Identification of Deficient Forested Windbreaks in the Paraguayan Chaco J Kriese, T Hoeser, S Asam, P Kacic, E Da Ponte, U Gessner Remote Sensing 14 (17), 4327, 2022 | 7 | 2022 |
| Spatial Modelling and Prediction with the Spatio-Temporal Matrix: A Study on Predicting Future Settlement Growth Z Wang, F Bachofer, J Koehler, J Huth, T Hoeser, M Marconcini, T Esch, ... Land 11 (8), 1174, 2022 | 4 | 2022 |
| The hazard of locust outbreaks-Examples from EO to support locust management I Klein, S van der Woude, F Schwarzenbacher, C Eisfelder, S Uereyen, ... | | 2022 |
| Global Offshore Wind Energy Infrastrucutre Dynamics Derived from Sentinel-1 Imagery with CNNs based on Synthetic Training Data T Höser, F Bachofer, C Künzer | | 2022 |
| Global Dynamics of the Offshore Wind Energy Sector Derived from Earth Observation Data-Deep Learning Based Object Detection Optimised with Synthetic Training Data for Offshore … T Höser Julius-Maximilians-Universität Würzburg, 2022 | | 2022 |
| Potentiale satellitenbasierter Zeitserien für das Küstenmonitoring J Huth, M Ottinger, T Höser, P Reiners, F Bachofer | | 2022 |
| An Introduction to Deep Learning with CNNs Applied on Earth Observation Data T Hoeser, F Bachofer, C Kuenzer https://www.researchgate.net/publication …, 2020 | | 2020 |
| Rock glaciers and the sediment dynamics in arid mountain belts JH Blöthe, T Höser, S Rosenwinkel, O Korup EGU General Assembly Conference Abstracts, EPSC2016-16746, 2016 | | 2016 |
Claudia KuenzerProfessor and Head of Department 'Land Surface Dynamics', German Aerospace Center (DLR)Verified email at dlr.de
