Extracting Glacier Calving Fronts by Deep Learning: The Benefit of Multispectral, Topographic, and Textural Input Features
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DOI: 10.1109/tgrs.2022.3208454
Abstract: An accurate parameterization of glacier calving is essential for understanding glacier dynamics and constraining ice-sheet models. The increasing availability and quality of remote sensing imagery open the prospect of a continuous and precise mapping of… read more here.
Keywords: remote sensing; glacier calving; calving front; extracting glacier ... See more keywords