Globally scalable glacier mapping by deep learning matches expert delineation accuracy
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A new method of glacier mapping using deep learning has been developed, which reportedly matches the accuracy of expert delineation. This technology has been applied to create a glacier inventory in Tajikistan and may also be used to study glacier-related phenomena such as glacier collapse and glacial erosion rates. The use of deep learning for glacier mapping appears to be a growing area of research, with potential applications in various regions, including High Mountain Asia and the Tibetan basin.
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