Learning from the 2018 Western Japan Heavy Rains to Detect Floods during the 2019 Hagibis Typhoon

Learning from the 2018 Western Japan Heavy Rains to Detect Floods during the 2019 Hagibis Typhoon

Applications of machine learning on remote sensing data appear to be endless. Its use in damage identification for early response in the aftermath of a large-scale disaster has a specific issue. The collection of training data right after a disaster is costly, time-consuming, and many times impossib...

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Bibliographic Details
Main Authors: Luis Moya, Erick Mas, Shunichi Koshimura
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Remote Sensing
Subjects:
Sentinel-1 SAR data
flood mapping
training data
machine learning
Online Access:https://www.mdpi.com/2072-4292/12/14/2244

Internet

https://www.mdpi.com/2072-4292/12/14/2244

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