Portraying the Need for Temporal Data in Flood Detection via Sentinel-1

arXiv:2403.03671v1 Announce Type: new
Abstract: Identifying flood affected areas in remote sensing data is a critical problem in earth observation to analyze flood impact and drive responses. While a number of methods have been proposed in the literature, there are two main limitations in available flood detection datasets: (1) a lack of region variability is commonly observed and/or (2) they require to distinguish permanent water bodies from flooded areas from a single image, which becomes an ill-posed setup. Consequently, we …

abstract analyze arxiv cs.cv data datasets detection drive earth earth observation eess.iv flood impact limitations literature observation responses sensing sentinel temporal type via