Mapping the Flood Inundation Area for Climate Adaptation Planning: A Chinese Case in Xinxiang City, Henan Province China

With global warming, rising sea levels, and more frequent extreme rainfall events, the need for flood climate adaptation planning has become more urgent. At present, there are relatively few planning studies from the perspective of rainstorm climate adaptation in China. In this study, the Sentinel-1 Multi-Temporal Synthetic Aperture Radar (SAR) was used to monitor the urban flood area from the extreme rainfall weather caused by storm surges. Optical remote sensing is not effective on rainy days. However, Synthetic Aperture Radar (SAR) can penetrate the clouds and obtain optical high-resolution radar images, which can be observed all day long. This method is used to identify the spatial distribution of the flood inundation area of extreme rainfall caused by rainstorm in Xinxiang City, Henan Province. The significance of this study is as follows: (1) Based on data-driven, it provides an operable technical process and method for rainstorm hazard mapping for non-flood plains in China, which can be applied to rainwater hazard mapping of other areas and enhance the science of decision-making. (2) By mapping the flood inundation area, we can effectively identify the spatial differentiation characteristics of the flood hazard so as the characteristics of sensitive groups and environment, and provide a reference for the spatial layout of emergency disaster reduction and prevention facilities to strengthen urban adaptability. data-driven, it provides an operable technical process and method for rainwater hazard mapping of climate adaptability planning for non-flood plains in China, which can be applied to rainwater hazard mapping of other areas and enhance the science of decision-making. By mapping the flood inundation area, we can effectively identify the spatial differentiation characteristics the flood risk, so as the characteristics of sensitive groups and environment, and provide a reference for the spatial layout of emergency disaster reduction prevention facilities to strengthen climate change adaptability.