Stringer Christopher D, Carrivick Jonathan L, Quincey Duncan J, Nývlt Daniel, Comber Alexis
School of Built Environment, Engineering and Computing, Leeds Beckett University, Leeds, UK.
School of Geography and Water, University of Leeds, Leeds, UK.
Arct Antarct Alp Res. 2025 May 7;57(1):2483474. doi: 10.1080/15230430.2025.2483474. eCollection 2025.
Land cover information is essential for understanding Earth surface processes and ecosystems. Here, we use -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.
土地覆盖信息对于理解地球表面过程和生态系统至关重要。在此,我们使用K均值聚类法对覆盖亚南极岛屿、南极半岛和麦克默多干谷六个冰前区域的陆地卫星8号运行陆地成像仪(OLI)图像进行分类,分辨率为30米。我们将水、基岩、植被和沉积物的空间模式量化,精度达到77%。植被在南乔治亚岛(占冰前区域的7%)和南设得兰群岛(占1%至2%)最为丰富。此外,我们使用变化向量分析(CVA)来判别21世纪的土地覆盖变化。在冰川损失和冰前景观变化方面,纬度模式明显;例如,南乔治亚岛的冰川损失和冰前土地覆盖变化比麦克默多干谷大两个数量级。四个研究地点的景观稳定性相似(64%至68%未发生变化),亚历山大岛除外(变化率为50%),原因是近期冰川融化加剧。总体而言,我们展示了自2000年以来气候敏感的亚南极和南极冰前区域的土地覆盖如何变化,CVA精度为80%。这些发现有助于理解地貌活动以及沉积物和养分通量,进而有助于理解陆地和海洋生态系统。