Mapping ice cliffs on debris-covered glaciers using multispectral satellite images
نویسندگان
چکیده
Ice cliffs play a key role in the mass balance of debris-covered glaciers, but assessing their importance is limited by lack datasets on distribution and evolution at scales larger than an individual glacier. These are often derived using operator-biased time-consuming manual delineation approaches, despite recent emergence semi-automatic mapping methods. methods have used elevation or multispectral data, varying slope mixed spectral signal these dynamic features makes transferability approaches particularly challenging. We develop three semi-automated objective new based Spectral Curvature Linear Unmixing images, to map glacier regional scale. The each method assessed applying it sites Himalaya, where glaciers widespread, with lithologic, glaciological climatic settings, encompassing different periods melt season. keeping mind wide range remote sensing platforms currently use, focus particular two products: we apply site near-contemporaneous atmospherically-corrected Pléiades (2 m resolution) Sentinel-2 (10 images assess effects spatial resolution results. find that works best for high resolution, four band Pléaides while modification scaling factor unmixing coarser additional information products. In both cases ice mapped Dice coefficient higher 0.48. Comparison results other existing shows approach performs better more robust any automated approaches. Both outline number small, sometimes shallow-sloping thinly patches differ from our traditional understanding may non-negligible impact glaciers. Overall pave way large scale efforts cliff can enable inclusion models, as well allow generation multiple study processes formation, decline. • Transferable multi-spectral imagery Mapping fine Pléiades. Cliff be confidence images. Objective identifies small escape delineation.
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ژورنال
عنوان ژورنال: Remote Sensing of Environment
سال: 2021
ISSN: ['0034-4257', '1879-0704']
DOI: https://doi.org/10.1016/j.rse.2020.112201