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publications
Remote Sensing of Antarctic Glacier and Ice-Shelf Front Dynamics - A Review
Published in Remote Sensing, 2018
Recommended citation: Baumhoer, C. und Dietz, A. und Dech, S. und Kuenzer, C. (2018): Remote Sensing of Antarctic Glacier and Ice-Shelf Front Dynamics - A Review. Remote Sensing, 10 (9), 1445. https://doi.org/10.3390/rs10091445.
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Automated Extraction of Antarctic Glacier and Ice Shelf Fronts from Sentinel-1 Imagery Using Deep Learning
Published in Remote Sensing, 2019
Recommended citation: Baumhoer, C. und Dietz, A. und Kneisel, C. und Kuenzer, C. (2019): Automated Extraction of Antarctic Glacier and Ice Shelf Fronts from Sentinel-1 Imagery Using Deep Learning. Remote Sensing, 11 (21), 2529. https://doi.org/10.3390/rs11212529.
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HED-UNet: Combined Segmentation and Edge Detection for Monitoring the Antarctic Coastline.
Published in IEEE Transactions on Geoscience and Remote Sensing, 2021
Recommended citation: Heidler, K., Mou, L., Baumhoer, C., Dietz, A., Zhu, X. (2021): HED-UNet: Combined Segmentation and Edge Detection for Monitoring the Antarctic Coastline. IEEE Transactions on Geoscience and Remote Sensing. https://doi.org/10.1109/TGRS.2021.3064606.
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Remote Sensing of the Mountain Cryosphere: Current Capabilities, and Future Opportunities for Research.
Published in Progress in Physical Geography, 2021
Recommended citation: Taylor, L., Quincey, D., Smith, M., Baumhoer, C., McMillan, M., Mansell, D. (2021): Remote Sensing of the Mountain Cryosphere: Current Capabilities, and Future Opportunities for Research. Progress in Physical Geography. https://doi.org/10.1177/03091333211023690.
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Environmental Drivers of Circum-Antarctic Glacier and Ice Shelf Front Retreat over the Last Two Decades.
Published in The Cryosphere, 2021
Recommended citation: Baumhoer, C., A. J. Dietz, C. Kneisel, H. Paeth, und C. Kuenzer (2021): Environmental Drivers of Circum-Antarctic Glacier and Ice Shelf Front Retreat over the Last Two Decades. The Cryosphere. https://doi.org/10.5194/tc-2020-224.
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Drought in Northern Italy: Long Earth Observation Time Series Reveal Snow Line Elevation to Be Several Hundred Meters Above Long-Term Average in 2022
Published in Remote Sensing, 2022
Recommended citation: Koehler, J., Dietz, A. J., Zellner, P., Baumhoer, C. A., Dirscherl, M., Cattani, L., Vlahović, Ž., Alasawedah, M. H., Mayer, K., Haslinger, K., Bertoldi, G., Jacob, A., and Kuenzer, C.(2022): Drought in Northern Italy: Long Earth Observation Time Series Reveal Snow Line Elevation to Be Several Hundred Meters Above Long-Term Average in 2022, Remote Sensing, 14, https://doi.org/10.3390/rs14236091.
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IceLines – A new data set of Antarctic ice shelf front positions
Published in Nature Scientific Data, 2023
Recommended citation: Baumhoer, C. A., Dietz, A. J., Heidler, K., and Kuenzer, C. (2023): IceLines – A new data set of Antarctic ice shelf front positions, Sci Data, 10, 138, https://doi.org/10.1038/s41597-023-02045-x.
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Multi-Sensor Glacier Surface Classification Using Confidence-Aware Explainable Inverse-Mapping Neural Network
Published in Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024
Recommended citation: G. Joshi, C. Baumhoer, A. Dietz, R. Natusaki, A. Hirose (2024): Multi-Sensor Glacier Surface Classification Using Confidence-Aware Explainable Inverse-Mapping Neural Network, Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
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Vegetation Changes in the Arctic: A Review of Earth Observation Applications
Published in Remote Sensing, 2024
Recommended citation: Wenzl, M., Baumhoer, C.A., Dietz, A.J., Kuenzer, C., (2024): Vegetation Changes in the Arctic: A Review of Earth Observation Applications. Remote Sensing 16, 4509. https://doi.org/10.3390/rs16234509
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Calving front positions for 42 key glaciers of the Antarctic Peninsula Ice Sheet: a sub-seasonal record from 2013 to 2023 based on a deep learning application to Landsat multispectral imagery
Published in Earth System Science Data, 2025
Recommended citation: Loebel, E., Baumhoer, C.A., Dietz, A., Scheinert, M., Horwath, M., 2025. Calving front positions for 42 key glaciers of the Antarctic Peninsula Ice Sheet: a sub-seasonal record from 2013 to 2023 based on deep-learning application to Landsat multi-spectral imagery. Earth System Science Data 17, 65–78. https://doi.org/10.5194/essd-17-65-2025 .
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Automated crevasse mapping for Alpine glaciers: A multitask deep neural network approach
Published in International Journal of Applied Earth Observation and Geoinformation, 2025
Recommended citation: C. A. Baumhoer, S. Leibrock, C. Zapf, W. Beer, und C. Kuenzer (2025): „Automated crevasse mapping for Alpine glaciers: A multitask deep neural network approach“, International Journal of Applied Earth Observation and Geoinformation, Bd. 139, S. 104495, doi: https://doi.org/10.1016/j.jag.2025.104495.
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talks
USA meets the Alps: Alpine Innovation
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The future of Arctic research
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teaching
Remote Sensing of Polar Regions
Seminar (Advanced Methods and Modeling), University Würzburg, 2022
Seminar for M.Sc. Applied Earth Observation and Geoanalysis, 2 SWS
Time Series Remote Sensing of Polar Regions
Seminar (Advanced Methods and Modeling), University Würzburg, 2023
Seminar for M.Sc. Applied Earth Observation and Geoanalysis, 2 SWS
Machine Learning for Earth Observation Data
Seminar (Advanced Methods and Modeling), University Würzburg, 2024
Seminar for M.Sc. and PhD students in Physical Geography, University Wurzburg, 2 SWS
Machine Learning for Earth Observation Data
Hands-on Seminar, RWTH Aachen, 2024
Seminar for B.Sc. / M.Sc. Physical geography and climatology, RWTH Aachen, 2 SWS