%0 Dataset
%T Data set of flood water extraction and comprehensive disaster assessment in Yinan County, Shandong Province (2020)
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/768b0c96-cad8-4b28-9457-76db4366b821
%W NCDC
%R 10.12072/ncdc.Hydro.db2453.2022
%A he zhenfang
%K Flood disaster;risk assessment;emergency assessment
%X It is of great significance to reduce the damage caused by flood to quickly and accurately obtain the information of submerged water body and surface features and conduct scientific and effective flood assessment with the help of multi-source remote sensing data.This study makes use of the characteristics of SAR data that are not affected by cloud and rain weather, and combines the GF-3 pre disaster and disaster radar images with Sentinel-1A disaster radar images through the cooperation of two satellites, giving play to its resolution advantages and time advantages respectively, monitoring and extracting flood water bodies cooperatively, and using threshold segmentation method, object-oriented method and random forest and other methods to achieve the extraction of flood water body information through comparative research, so as to obtain the relevant data sets of flood water bodies. With the help of high resolution optical images GF-3, GF-6, etc., the accurate extraction and statistics of submerged objects are realized, and the submerged object data set is obtained; Finally, through the extracted water body and surface feature information, the risk assessment model and emergency assessment model are constructed to obtain the comprehensive assessment data set of flood disaster. Data results and flood disaster extraction and evaluation algorithms can provide scientific basis for flood disaster prevention and emergency rescue.