Mapping Surface Features of an Alpine Glacier through Multispectral and Thermal Drone Surveys

Remote. Sens. Pub Date : 2023-07-06 DOI:10.3390/rs15133429
M. Rossini, R. Garzonio, C. Panigada, G. Tagliabue, G. Bramati, G. Vezzoli, S. Cogliati, R. Colombo, B. D. Mauro
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Abstract

Glacier surfaces are highly heterogeneous mixtures of ice, snow, light-absorbing impurities and debris material. The spatial and temporal variability of these components affects ice surface characteristics and strongly influences glacier energy and mass balance. Remote sensing offers a unique opportunity to characterize glacier optical and thermal properties, enabling a better understanding of different processes occurring at the glacial surface. In this study, we evaluate the potential of optical and thermal data collected from field and drone platforms to map the abundances of predominant glacier surfaces (i.e., snow, clean ice, melting ice, dark ice, cryoconite, dusty snow and debris cover) on the Zebrù glacier in the Italian Alps. The drone surveys were conducted on the ablation zone of the glacier on 29 and 30 July 2020, corresponding to the middle of the ablation season. We identified very high heterogeneity of surface types dominated by melting ice (30% of the investigated area), dark ice (24%), clean ice (19%) and debris cover (17%). The surface temperature of debris cover was inversely related to debris-cover thickness. This relation is influenced by the petrology of debris cover, suggesting the importance of lithology when considering the role of debris over glaciers. Multispectral and thermal drone surveys can thus provide accurate high-resolution maps of different snow and ice types and their temperature, which are critical elements to better understand the glacier’s energy budget and melt rates.
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利用多光谱和热无人机测绘高山冰川地表特征
冰川表面是冰、雪、吸收光的杂质和碎片物质高度不均匀的混合物。这些成分的时空变异性影响冰面特征,并强烈影响冰川能量和物质平衡。遥感提供了一个独特的机会来表征冰川的光学和热特性,使人们能够更好地了解冰川表面发生的不同过程。在这项研究中,我们评估了从野外和无人机平台收集的光学和热数据的潜力,以绘制意大利阿尔卑斯山Zebrù冰川上主要冰川表面(即雪、净冰、融化冰、暗冰、冰芯、尘雪和碎屑覆盖)的丰度。无人机调查于2020年7月29日和30日对冰川消融区进行,对应于消融季节的中期。我们确定了非常高的表面类型异质性,主要是融冰(占调查区域的30%)、暗冰(24%)、干净冰(19%)和碎屑覆盖(17%)。覆盖层表面温度与覆盖层厚度成反比。这种关系受到碎屑覆盖的岩石学的影响,这表明在考虑碎屑对冰川的作用时,岩石学的重要性。因此,多光谱和热无人机调查可以提供不同冰雪类型及其温度的精确高分辨率地图,这是更好地了解冰川能量收支和融化速度的关键要素。
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