Detection of aufeis-related flood areas in a time series of high resolution SAR images using curvelet transform and unsupervised classification

摘要

Due to their weather and illumination independence and due to their large area coverage at high spatial resolution, Synthetic Aperture Radar (SAR) images have been recognized as a valuable data source for the mapping and tracking of aufeis flooding events. We modified and utilized the change detection approach of [1], based on wavelet analysis to map aufeis-related flooding on the Sagavanirktok River in northern Alaska, collected in the spring of 2015. This paper provides near real-time monitoring by generating detailed flood parameters such as flood classification probabilities, flood-related backscatter changes, and flood extent. The generated flood maps show the spatial extent and day-to-day progression of the 2015 flooding event across a 1004 km