Terminus area change of 42 key glaciers of the Antarctic Peninsula from 2013 to 2023 derived from remote sensing and deep learning
Type of the data | Dataset | |
Total size of the dataset | 39542 | |
Author | Loebel, Erik | |
Author | Baumhoer, Celia A. | |
Author | Dietz, Andreas | |
Author | Scheinert, Mirko | |
Author | Horwath, Martin | |
Upload date | 2024-07-23T11:43:53Z | |
Publication date | 2024-07-23T11:43:53Z | |
Publication date | 2024-07-23 | |
Abstract of the dataset | Glacier terminus area changes are derived using the rectilinear box method applied to time series of glacier calving front locations. Terminus changes are provided in text file format. The following glaciers are included in this data record: Akaga-Sinion Glacier system, Avsyuk Glacier, Birley Glacier, Bleriot Glacier, Boydell Glacier, Cadman Glacier, Carlson Glacier, Cayley Glacier, Clarke Glacier, Crane Glacier, Darvari-Boryana-Desudava Glacier system, Dinsmore-Bombardier-Edgeworth Glacier system, Drygalski Glacier, Drummond Glacier, Erskine Glacier, Fleming Glacier, Funk Glacier, Hariot Glacier, Heim Glacier, Hektoria-Green-Evans Glacier system, Hopkins Glacier, Hugi Glacier, Jorum Glacier, Keith Glacier, Malorad Glacier, McCance Glacier, Murphy Wilkinson Glacier, Otlet Glacier, Peter Glacier, Prospect Glacier, Punchbowl Glacier, Pyke Glacier, Remus-Snowshoe Glacier, Renard-Krebs Glacier, Sjogren Glacier, Stringfellow Glacier, Swithinbank Glacier, Temple Glacier, Trooz Glacier, Valot Glacier, Widdowson Glacier and Zaychar Glacier. | |
Public reference to this page | https://opara.zih.tu-dresden.de/handle/123456789/784 | |
Public reference to this page | https://doi.org/10.25532/OPARA-557 | |
Publisher | Technische Universität Dresden | |
Licence | Attribution 4.0 International | en |
URI of the licence text | http://creativecommons.org/licenses/by/4.0/ | |
Specification of the discipline(s) | 3::34::315::315-02 | |
Title of the dataset | Terminus area change of 42 key glaciers of the Antarctic Peninsula from 2013 to 2023 derived from remote sensing and deep learning |
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