GlacierNet: A Deep-Learning Approach for Debris-Covered Glacier Mapping
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DOI: 10.1109/access.2020.2991187
Abstract: Rising global temperatures over the past decades is directly affecting glacier dynamics. To understand glacier fluctuations and document regional glacier-state trends, glacier-boundary detection is necessary. Debris-covered glacier (DCG) mapping, however, is notoriously difficult using conventional… read more here.
Keywords: glaciernet; debris covered; learning approach; covered glacier ... See more keywords