鄱阳湖流域强高温期水体变化数据集（2022年）

该数据集包含2022年强高温期间鄱阳湖流域主要水体的干旱时空变化信息，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6个shp矢量数据。具体包括PY_20220616.shp，PY_20220628.shp，PY_20220722.shp，PY_20220803.shp，PY_20220815.shp，PY_20220827.shp。

This dataset documents spatiotemporal variation information of drought-induced water body changes in major water bodies of the Poyang Lake Basin during the 2022 extreme high-temperature event. Using the Google Earth Engine platform to retrieve Sentinel-1 Synthetic Aperture Radar (SAR) data, 10-meter resolution water body change data for the middle and lower reaches of the Yangtze River during this period were obtained by determining the optimal threshold via the Sentinel-1 Dual-Polarized Water Index (SDWI) and Otsu's algorithm. The covered areas include the main bodies and surrounding waters of Poyang Lake and Dongting Lake, as well as the waters along the Anhui and Jiangsu sections of the middle and lower Yangtze River and their adjacent regions. After verification, the overall accuracy of this dataset exceeds 96%, which can provide data support for water resources 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 6 SHP vector files, specifically PY_20220616.shp, PY_20220628.shp, PY_20220722.shp, PY_20220803.shp, PY_20220815.shp, and PY_20220827.shp.