Rapid and large-scale mapping of flood inundation via integrating spaceborne synthetic aperture radar imagery with unsupervised deep learning
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Title
Rapid and large-scale mapping of flood inundation via integrating spaceborne synthetic aperture radar imagery with unsupervised deep learning
Authors
Keywords
Flood inundation, Sentinel-1, Unsupervised machine learning, Google Earth Engine, Disaster assessment
Journal
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
Volume 178, Issue -, Pages 36-50
Publisher
Elsevier BV
Online
2021-06-10
DOI
10.1016/j.isprsjprs.2021.05.019
References
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