Abstract
Land cover information is essential for understanding Earth surface processes and ecosystems. Here, we use K-means clustering to classify Landsat 8 Operational Land Imager (OLI) images covering six proglacial sites of sub-Antarctic islands, the Antarctic Peninsula, and the McMurdo Dry Valleys at 30-m resolution. We quantify spatial patterns of water, bedrock, vegetation, and sediments to an accuracy of 77 percent. Vegetation is most abundant on South Georgia (7 percent of the proglacial area) and the South Shetland Islands (1 to 2 percent). Furthermore, we use change vector analysis (CVA) to discriminate landcover change in the twenty-first century. A latitudinal pattern is evident in ice loss and proglacial landscape change; for example, loss of ice on South Georgia and proglacial landcover change is two orders of magnitude greater than in the McMurdo Dry Valleys. Four of the studied sites had similar landscape stability (64 to 68 percent unchanged), with Alexander Island an exception (50 percent change) due to recent enhanced glacier melt. Overall, we show how landcover of proglacial regions of the climaticallysensitive sub-Antarctic and Antarctica has changed since 2000, with a CVA accuracy of 80 percent. These findings inform understanding of geomorphological activity and sediment and nutrient fluxes and hence terrestrial and marine ecosystems.
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Divisions: | School of Built Environment, Engineering and Computing |
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Identification Number: | https://doi.org/10.1080/15230430.2025.2483474 |
Status: | Published |
Refereed: | Yes |
Publisher: | Informa UK Limited |
Additional Information: | © 2025 The Author(s) |
Uncontrolled Keywords: | 0406 Physical Geography and Environmental Geoscience; Ecology; 3709 Physical geography and environmental geoscience |
SWORD Depositor: | Symplectic |
Depositing User (symplectic) | Deposited by Stringer, Christopher |
Date Deposited: | 14 May 2025 13:10 |
Last Modified: | 03 Jun 2025 17:23 |
Item Type: | Article |
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CD Stringer
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