Antarctic Supraglacial Lake Detection Using Landsat 8 and Sentinel-2 Imagery: Towards Continental Generation of Lake Volumes
Antarctic Supraglacial Lake Detection Using Landsat 8 and Sentinel-2 Imagery: Towards Continental Generation of Lake Volumes
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DOI：
10.3390/rs12010134
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发表时间：
2020-01
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影响因子：
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通讯作者：
M. Moussavi;A. Pope;A. Halberstadt;L. Trusel;L. Cioffi;W. Abdalati
中科院分区：
文献类型：
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作者：
M. Moussavi;A. Pope;A. Halberstadt;L. Trusel;L. Cioffi;W. Abdalati
融化和冰上湖是冰架崩溃和随后加速冰盖质量损失的前兆。我们使用Landsat 8和Sentinel-2卫星的数据开发了一种基于阈值的方法，用于检测南极冰架上发现的湖泊，计算它们的深度和体积。为了实现这一目标，我们专注于四个关键领域：Amery，Roi Baudouin，Nivlison和Riiser-Larsen冰架，这些冰架都具有广泛的表面融水特征。为了验证我们的产品，我们将我们的结果与基于监督分类方案的独立方法（例如，随机森林算法）。通过人工检查近1000幅Landsat 8和Sentinel-2图像的结果提供了额外的验证。我们的双传感器方法将能够构建湖泊体积的高分辨率时间序列。因此，为了确保两个数据集之间的互操作性，我们评估了同期Landsat 8和Sentinel-2图像对的深度。我们的评估指出高度的对应性，产生的平均R2值为0.85，无偏差，平均RMSE为0.2 m。我们展示了我们的方法的能力，表征湖泊演变的排水事件外的南极半岛的埃默里冰架的第一个证据。这里介绍的方法铺平了道路，在整个陆地卫星8号和哨兵-2观测记录整个南极洲，以产生有史以来第一个大陆数据集的冰上湖量的升级。这样的数据集将提高我们对地表水文对冰架稳定性影响的了解，从而提高我们对南极洲对海平面上升贡献的未来预测。
Melt and supraglacial lakes are precursors to ice shelf collapse and subsequent accelerated ice sheet mass loss. We used data from the Landsat 8 and Sentinel-2 satellites to develop a threshold-based method for detection of lakes found on the Antarctic ice shelves, calculate their depths and thus their volumes. To achieve this, we focus on four key areas: the Amery, Roi Baudouin, Nivlisen, and Riiser-Larsen ice shelves, which are all characterized by extensive surface meltwater features. To validate our products, we compare our results against those obtained by an independent method based on a supervised classification scheme (e.g., Random Forest algorithm). Additional verification is provided by manual inspection of results for nearly 1000 Landsat 8 and Sentinel-2 images. Our dual-sensor approach will enable constructing high-resolution time series of lake volumes. Therefore, to ensure interoperability between the two datasets, we evaluate depths from contemporaneous Landsat 8 and Sentinel-2 image pairs. Our assessments point to a high degree of correspondence, producing an average R2 value of 0.85, no bias, and an average RMSE of 0.2 m. We demonstrate our method’s ability to characterize lake evolution by presenting first evidence of drainage events outside of the Antarctic Peninsula on the Amery Ice shelf. The methods presented here pave the way to upscaling throughout the Landsat 8 and Sentinel-2 observational record across Antarctica to produce a first-ever continental dataset of supraglacial lake volumes. Such a dataset will improve our understanding of the influence of surface hydrology on ice shelf stability, and thus, future projections of Antarctica’s contribution to sea level rise.