Deep learning for dune pattern mapping with the AW3D30 global surface model
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DOI: 10.1002/esp.4888
Abstract: In this paper we present a deep learning (U‐Net)‐based workflow for classifying linear dune landforms based on the discrete Laplacian convolution of a new global elevation dataset, the AW3D30 digital surface model. Crest vectors were… read more here.
Keywords: dune pattern; surface model; deep learning; dune ... See more keywords