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.
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 .
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
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.
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.
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.
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.
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.
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.
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.
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.
Talk at AniMove Summer School at Max Planck Institute (MPI) of Animal Behavior, Radolfzell, Germany
Talk in the section seminar earth surface process modelling at German Research Centre for Geosciences (GFZ), Potsdam, Germany
Panel discussion with science attachés of various embassies at Helmholtz Science Lunch, Berlin, Germany
Panel discussion at Embassy of Switzerland in the United States, Washington DC, USA
Colloquium at Physical Geography Department FAU Erlangen, Erlangen, Germany
Talk at SIOS training course on Artificial Intelligence in Svalbard, Svalbard/virtual
Talk at AGU 2019, San Francisco, California