A Comprehensive Evaluation of Flooding’s Effect on Crops Using Satellite Time Series Data

Shuangxi Miao

The study proposed a framework to detect the flooding area and evaluated the degree of loss using satellite time series data. First, a double-Gaussian model to adaptively determine the threshold for flooding extraction using Synthetic Aperture Radar (SAR) data. Then, researchers evaluated the disaster levels of flooding with field survey samples and optical satellite images. Finally, given that crops vary in their resilience to flooding, the study measured the vegetation index change before and after the flooding event using satellite time series data.




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