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 | 75 | 2019 |
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 | 43 | 2018 |
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 | 36 | 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 | 14 | 2021 |
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 | 13 | 2021 |
Driving Forces 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 Discussions 2020, 1-30, 2020 | 5 | 2020 |
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 |
Polar Monitor-Cross-institute collaboration project on remote sensing of polar regions S Rößler, A Dietz, C Baumhoer Alfred Wegener Institute for Polar and Marine Research 762, 1, 2022 | | 2022 |
IceLines–A new service to monitor Antarctic ice shelf front dynamics CA Baumhoer, AJ Dietz, K Heidler, C Kuenzer EGU22, 2022 | | 2022 |
The AI-CORE Project-Artificial Intelligence for Cold Regions A Dietz, C Baumhoer EGU22, 2022 | | 2022 |
The AI-CORE Project-Artificial Intelligence for Cold Regions C Baumhoer, A Dietz, K Heidler, XX Zhu, M Scheinert, E Loebel, I Nitze, ... | | 2022 |
IceLines-Monitoring Antarctic ice shelf front dynamics with Sentinel-1 C Baumhoer, A Dietz, C Künzer | | 2022 |
Status of the Artificial Intelligence for Cold Regions (AI-CORE) project-data integration and method implementation on the infrastructures A Dietz, C Baumhoer, K Heidler, LC Mou, I Nitze, M Scheinert, T Dinter, ... | | 2021 |
Hed-Unet: A Multi-Scale Framework for Simultaneous Segmentation and Edge Detection K Heidler, L Mou, C Baumhoer, A Dietz, XX Zhu 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 3037 …, 2021 | | 2021 |
Two decades of Antarctic coastal-change revealed by satellite imagery and deep learning CA Baumhoer, A Dietz, M Dirscherl, C Kuenzer EGU General Assembly Conference Abstracts, EGU21-5344, 2021 | | 2021 |
A novel technique for automated mapping of Antarctic supraglacial lakes in Sentinel-1 SAR imagery using deep learning M Dirscherl, A Dietz, C Baumhoer, C Kneisel, C Kuenzer EGU General Assembly Conference Abstracts, EGU21-508, 2021 | | 2021 |
Glacier Front Dynamics of Antarctica-Analysing Changes in Glacier and Ice Shelf Front Position based on SAR Time Series CA Baumhoer Universität Würzburg, 2021 | | 2021 |
Towards an Antarctic Ice Shelf and Glacier Front Monitoring Service based on Sentinel-1 Data C Baumhoer, A Dietz, K Heidler, LC Mou, XX Zhu, C Künzer | | 2021 |
Developing Artificial Intelligence methods for addressing major challenges in cryosphere research: The AI-CORE project A Dietz, XX Zhu, K Heidler, L Mou, I Nitze, M Scheinert, T Dinter, ... AGU Fall Meeting Abstracts 2020, C004-0004, 2020 | | 2020 |
Deep learning reveals seasonal patterns of Antarctic ice shelf front fluctuations CA Baumhoer, AJ Dietz, M Dirscherl, C Kuenzer EGU General Assembly Conference Abstracts, 4486, 2020 | | 2020 |