Monitoring the summer flooding in the Poyang Lake area of China in 2020 based on Sentinel-1 data and multiple convolutional neural networks

Monitoring the summer flooding in the Poyang Lake area of China in 2020 based on Sentinel-1 data and multiple convolutional neural networks

Precise monitoring of floods is significant in disaster management and loss reduction; however, remote sensing data resource and methods can largely affect the monitoring accuracy of flooded areas. In this study, we use cloud-free Sentinel-1 Synthetic Aperture Radar (SAR) imagery, preferable to the...

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Bibliographic Details
Main Authors: Zhen Dong, Guojie Wang, Solomon Obiri Yeboah Amankwah, Xikun Wei, Yifan Hu, Aiqing Feng
Format: Article
Language:English
Published: Elsevier 2021-10-01
Series:International Journal of Applied Earth Observations and Geoinformation
Subjects:
Convolutional neural networks
SAR
Flood monitoring
Poyang Lake area
Online Access:http://www.sciencedirect.com/science/article/pii/S0303243421001070

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http://www.sciencedirect.com/science/article/pii/S0303243421001070

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