Unsupervised GRNN flood mapping approach combined with uncertainty analysis using bi-temporal Sentinel-2 MSI imageries

Unsupervised GRNN flood mapping approach combined with uncertainty analysis using bi-temporal Sentinel-2 MSI imageries

Floods occur frequently worldwide. The timely, accurate mapping of the flooded areas is an important task. Therefore, an unsupervised approach is proposed for automated flooded area mapping from bi-temporal Sentinel-2 multispectral images in this paper. First, spatial–spectral features of the images...

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Bibliographic Details
Main Authors: Qi Zhang, Penglin Zhang, Xudong Hu
Format: Article
Language:English
Published: Taylor & Francis Group 2021-11-01
Series:International Journal of Digital Earth
Subjects:
unsupervised flood mapping
optical remote sensing image
spatial–spectral feature extraction
uncertainty analysis
grnn
sentinel-2
Online Access:http://dx.doi.org/10.1080/17538947.2021.1953160

Internet

http://dx.doi.org/10.1080/17538947.2021.1953160

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