| Automated Extraction of Antarctic Glacier and Ice Shelf Fronts from Sentinel-1 Imagery Using Deep Learning CA Baumhoer, AJ Dietz, C Kneisel, C Kuenzer Remote Sensing 11 (21), 2529, 2019 | 145* | 2019 |
| HED-UNet: Combined segmentation and edge detection for monitoring the Antarctic coastline K Heidler, L Mou, C Baumhoer, A Dietz, XX Zhu IEEE Transactions on Geoscience and Remote Sensing 60, 1-14, 2021 | 132 | 2021 |
| Remote Sensing of Antarctic Glacier and Ice-Shelf Front Dynamics—A Review CA Baumhoer, AJ Dietz, S Dech, C Kuenzer Remote Sensing 10 (9), 2018 | 66 | 2018 |
| Environmental drivers of circum-Antarctic glacier and ice shelf front retreat over the last two decades CA Baumhoer, AJ Dietz, C Kneisel, H Paeth, C Kuenzer The Cryosphere 15 (5), 2357-2381, 2021 | 43* | 2021 |
| Remote sensing of the mountain cryosphere: Current capabilities and future opportunities for research LS Taylor, DJ Quincey, MW Smith, CA Baumhoer, M McMillan, ... Progress in Physical Geography: Earth and Environment 45 (6), 931-964, 2021 | 38 | 2021 |
| IceLines–A new data set of Antarctic ice shelf front positions CA Baumhoer, AJ Dietz, K Heidler, C Kuenzer Scientific Data 10 (1), 138, 2023 | 13* | 2023 |
| Drought in Northern Italy: Long Earth Observation Time Series Reveal Snow Line Elevation to Be Several Hundred Meters Above Long-Term Average in 2022 J Koehler, AJ Dietz, P Zellner, CA Baumhoer, M Dirscherl, L Cattani, ... Remote Sensing 14 (23), 6091, 2022 | 10 | 2022 |
| High-Temporal Antarctic Glacier Terminus and Ice Shelf Front Mapping from Sentinel-1–A Deep Learning Approach C Baumhoer, A Dietz, C Kuenzer IUGG, Montreal, 2019 | 1 | 2019 |
| Multi-Sensor Glacier Surface Classification Using Confidence-Aware Explainable Inverse-Mapping Neural Network G Joshi, CA Baumhoer, AJ Dietz, R Natsuaki, A Hirose IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024 | | 2024 |
| Terminus area change of 42 key glaciers of the Antarctic Peninsula from 2013 to 2023 derived from remote sensing and deep learning E Loebel, CA Baumhoer, A Dietz, M Scheinert, M Horwath Technische Universität Dresden, 2024 | | 2024 |
| Operational and Experimental Products on Cold and Polar Regions of the Earth Observation Center (EOC) S Rößler, A Dietz, C Baumhoer, J Köhler | | 2024 |
| Estimating Snow Line Altitude by Optical and SAR Data Fusion: Inverse-mapping Explainable Neural Network-Based Approach—Case Study of the Great Aletsch Glacier G Joshi, CA Baumhoer, AJ Dietz, R Natsuaki, A Hirose EUSAR 2024; 15th European Conference on Synthetic Aperture Radar, 399-404, 2024 | | 2024 |
| Towards monitoring supraglacial lake dynamics in Antarctica with convolutional neural networks CA Baumhoer, J Koehler, S Lhermitte, B Wouters, AJ Dietz EGU24, 2024 | | 2024 |
| Vegetation Changes in the Arctic: A Review of Earth Observation Applications M Wenzl, C Baumhoer, A Dietz, C Kuenzer Remote Sensing, 2024 | | 2024 |
| iQ2300: East Antarctic Sea level rise contribution in 2300–learning from the past and present for increased reliability of future projections I Rogozhina, JL Andersen, C Baumhoer, J Bernales, IA Brown, O Fredin, ... | | 2024 |
| Operational EO Products by the DLR Polar and Cold Regions Group A Dietz, C Baumhoer, S Rößler | | 2023 |
| Antarctic ice shelf front dynamics between 2015 and 2023 CA Baumhoer, AJ Dietz, C Kuenzer EGU General Assembly Conference Abstracts, EGU-7332, 2023 | | 2023 |
| The Potential of Artificial Intelligence and Remote Sensing for Cryospheric Research C Baumhoer, M Dirscherl, K Heidler, E Loebel, I Nitze, S Kaushik, A Dietz | | 2023 |
| AI Detection and Simulation of Calving Fronts of Ice Sheets D Abele, A Humbert, C Baumhoer, A Dietz, P Friedl, A Basermann | | 2023 |
| Using Deep Learning in Operational Data Products-Lessons Learned from the IceLines Dataset on Antarctic Ice Shelf Front Change C Baumhoer, A Dietz, JK Haug, C Künzer | | 2023 |
Andreas DietzGerman Aerospace Center, Earth Observation Center, German Remote Sensing Data CenterVerified email at dlr.de
