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flood Duration Estimation Based on Multisensor,Multitemporal Remote Sensing:The Sardoba Reservoir flood

Journal of Earth Science 2023年第3期34卷 868-878页

作者： Limei Wang Guowang Jin Xin Xiong Institute of Geospatial Information Information Engineering UniversityZhengzhou 450001China

Single-sensor monitoring of flood events at high spatial and temporal resolutions is difficult because of the lack of data owing to instrument defects,cloud contamination,imaging ***,combining multisensor data provides an impressive solution to this *** this study,11 synthetic aperture radar(SAR)images and 13 optical images were collected from the Google Earth Engine(GEE)platform during the Sardoba Reservoir flood event to constitute a time series ***-based and indices-based methods were used for SAR and optical data,respectively,to extract the water *** final sequential flood water maps were obtained by fusing the results from multisensor time series *** show that,when compare with the Global Surface Water Dynamic(GSWD)dataset,the overall accuracy and Kappa coefficient of the water body extent extracted by our methods range from 98.8%to 99.1%and 0.839 to 0.900,*** flooded extent and area increased sharply to a maximum between May 1 and May 4,and then experienced a sustained decline over *** flood lasted for more than a month in the lowland areas in the north,indicating that the northern region is severely *** cover changes could be detected using the temporal spectrum analysis,which indicated that detailed temporal information benefiting from the multisensor data is highly important for time series analyses.

关键词： multitemporal flood monitoring SAR-optical data integration flood area assessment remote sensing flood control

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