Urban flood detection with Sentinel-1 Multi-Temporal Synthetic Aperture Radar (SAR) observations in a Bayesian Framework : a case study for Hurricane Matthew

• Main Authors: Lin, Nina Yunung, Yun, Sang-Ho, Bhardwaj, Alok, Hill, Emma M.
• 其他作者: Asian School of the Environment
• 格式: Article
• 語言: English
• 出版: 2019
• 主題: SAR Intensity Time Series; Urban Flood Mapping; Science::Geology
• 在線閱讀: https://hdl.handle.net/10356/85554; http://hdl.handle.net/10220/50441

In this study we explored the application of synthetic aperture radar (SAR) intensity time series for urban flood detection. Our test case was the flood in Lumberton, North Carolina, USA, caused by the landfall of Hurricane Matthew on 8 October 2016, for which airborne imagery—taken on the same day...