长江中下游强高温期长江通江湖泊干旱数据集（2022年）

该数据集包含2022年长江中下游强高温期长江通江湖泊干旱数据集，利用GoogleEarthEngine平台调用Sentienl-1 SAR数据，通过双极化水体指数(Sentinel-1 Dual-Polarized Water Index，SDWI）和OTSU算法确定最佳阈值得到2022年强高温期间长江中下游地区10m分辨率的水体变化数据（鄱阳湖、洞庭湖主体及周边地区水体、长江中下游（安徽、江苏段）及附近沿线水体），经过验证本数据及的总体精度达96%以上，可为水资源管理部门在极端天气下及时调整水资源分配与利用政策与水资源的可持续利用提供数据支撑。
数据集包含20个shp矢量数据。

This dataset is the drought-related water body variation dataset of Yangtze River-connected lakes during the extreme high-temperature period in the middle and lower reaches of the Yangtze River in 2022. Using the Google Earth Engine (GEE) platform to call Sentinel-1 Synthetic Aperture Radar (SAR) data, the optimal threshold was determined via the Sentinel-1 Dual-Polarized Water Index (SDWI) and Otsu's algorithm, generating 10-meter resolution water body variation data during the 2022 extreme high-temperature period. The covered areas include the main bodies and surrounding waters of Poyang Lake and Dongting Lake, as well as the mainstream and adjacent waters of the Yangtze River in the Anhui and Jiangsu sections. After validation, the overall accuracy of this dataset exceeds 96%. It can provide data support for water resource management departments to timely adjust water resources allocation and utilization policies and promote the sustainable utilization of water resources under extreme weather conditions. This dataset contains 20 shapefile (SHP) vector data.