12-day time-resolution dataset of surface water area in Lijiang River Basin from 2015 to 2022

Based on the Lijiang River basin in Guangxi, Sentinel-1 SAR data and Sentinel-2 optical data were selected for the low frequency of surface water remote sensing monitoring, incomplete identification of small water bodies, low algorithm generalization, and difficulty in applying to cloudy weather and complex terrain areas. Combined with auxiliary data such as land cover data, river and lake vector data, and based on the different imaging principles of radar and optical sensors, topological relationship of vectors was applied to extract fine surface water bodies, and remote sensing monitoring dataset of water area in the Lijiang River basin with a time resolution of 12 days and a spatial resolution of 10 meters from 2015 to 2022 was constructed. A total of 196 periods of surface water distribution vector data were included. Through the spatial distribution and quantitative accuracy verification of the dataset, the results show that the dataset can effectively eliminate the influence factors such as terrain shad