1176: AIM
active project
Principal investigator: Tobias Weigel
Deutsches Klimarechenzentrum (Community project)
Project abstract
Report 7/2021 to 6/2022
Report 7/2022 to 6/2023
Report 7/2023 to 6/2024
Report 7/2024 to 6/2025
Publications
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DOI: 10.1109/MGRS.2024.3394040,
Nalepa, ..., Albrecht, Arnold, ... et al.: Estimating Soil Parameters From Hyperspectral Images: A benchmark dataset and the outcome of the HYPERVIEW challenge. IEEE Geoscience and Remote Sensing Magazine (2024)
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DOI: 10.3390/rs16132264,
Alrabayah, Caus, Watson, Schulten, Weigel, Rüpke, Al-Halbouni: Deep-Learning-Based Automatic Sinkhole Recognition: Application to the Eastern Dead Sea. Remote Sensing (2024), Special Issue on Artificial Intelligence for Natural Hazards.
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DOI: 10.5194/gmd-17-4017-2024,
Arnold, Sharma, Weigel, Greenberg: Efficient and stable coupling of the SuperdropNet deep-learning-based cloud microphysics (v0.1.0) with the ICON climate and weather model (v2.6.5). Geoscientific Model Development (2024)
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DOI: 10.1016/j.epsl.2023.118383,
Karimpouli, S., Caus, D., Grover, H., Martínez-Garzón, P., Bohnhoff, M., Beroza, G.C., Dresen, G., Goebel, T., Weigel, T. and Kwiatek, G., 2023. Explainable machine learning for labquake prediction using catalog-driven features. Earth and Planetary Science Letters, 622, p.118383.
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DOI: 10.1088/2632-2153/ace417,
Schanz, T., Möller, K.O., Rühl, S. and Greenberg, D.S., 2023. Robust detection of marine life with label-free image feature learning and probability calibration. Machine Learning: Science and Technology, 4(3), p.035007.
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DOI: doi.org/10.1016/j.rse.2021.112801,
Milad Asgarimehr, Caroline Arnold, Tobias Weigel, Chris Ruf, Jens Wickert, "GNSS reflectometry global ocean wind speed using deep learning: Development and assessment of CyGNSSnet". Remote Sensing of Environment, Volume 269, 2022, 112801, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2021.112801.