Stringer, C.D. orcid.org/0000-0002-2902-9435, Carrivick, J.L. orcid.org/0000-0002-9286-5348, Quincey, D.J. orcid.org/0000-0002-7602-7926 et al. (1 more author) (2022) Contemporary (2016–2020) land cover across West Antarctica and the McMurdo Dry Valleys. [Preprint - Earth System Science Data (ESSD)]
Abstract
Continental-scale land cover information is essential to furthering our understanding of the terrestrial environment, atmosphere and climate change. Several global land cover products have been released in recent years but they typically do not include Antarctica. The lack of land cover data in Antarctica is concerning because mountain glaciers and icecaps there have been losing mass at a rate well above the global average, leading to expansion of proglacial regions. Proglacial regions comprise transient land cover types with high rates of geomorphological activity that delivers sediment into the Southern Ocean and supports its rich biodiversity. With Antarctic mountain glaciers and icecaps projected to lose more mass in the coming decades, and active layer soils expected to increase in thickness, it is timely to establish a baseline land cover dataset for Antarctica with which future classifications can be compared. Here, we use Landsat-8 Operational Land Imager (OLI) images to classify six proglacial regions of Antarctica at 30 m resolution, with an overall accuracy of 77.0 % for proglacial land classes. We conducted this classification using an unsupervised K-means clustering approach, which circumvented the need for training data and was highly effective at picking up key land classes, such as vegetation, water, and different sedimentary surfaces. We have highlighted the spatial pattern in land cover and emphasise a need for more and higher quality field data. The land cover maps produced from this paper are available at: Stringer, C. (2022). Contemporary (2016–2020) land cover classification across West Antarctica and the McMurdo Dry Valleys (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/5A5EE38C-E296-48A2-85D2-E29DB66E5E24.
Metadata
| Item Type: | Preprint |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © Author(s) 2022. This work is distributed under the Creative Commons Attribution 4.0 License. |
| Dates: |
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| Institution: | The University of Leeds |
| Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) |
| Date Deposited: | 27 Mar 2026 15:33 |
| Last Modified: | 27 Mar 2026 15:33 |
| Identification Number: | 10.5194/essd-2022-250 |
| Related URLs: | |
| Sustainable Development Goals: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:239513 |


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