强高温期洞庭湖干旱数据集（2022年）

该数据集包含2022年强高温期间洞庭湖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年强高温期间洞庭湖主体及周边地区水体，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3个shp矢量数据。具体包括，DT_20220602.shp，DT_20220801.shp，DT_20220813.shp。

This dataset documents the spatiotemporal variations of drought over Dongting Lake during the 2022 extreme high temperature event. Sentinel-1 SAR data were accessed through the Google Earth Engine (GEE) platform, and water bodies in the main body and surrounding areas of Dongting Lake during this period were extracted by employing the Sentinel-1 Dual-Polarized Water Index (SDWI) and the Otsu algorithm to identify the optimal threshold. Validated results indicate that the overall accuracy of this dataset exceeds 96%. This dataset can provide data support for water resource management authorities to timely adjust water resource allocation and utilization policies and facilitate the sustainable utilization of water resources under extreme weather conditions.
This dataset includes three shapefile (SHP) vector datasets, specifically DT_20220602.shp, DT_20220801.shp, and DT_20220813.shp.

搜集汇总

背景与挑战

背景概述

该数据集提供了2022年强高温期间洞庭湖的干旱时空变化信息，基于Sentienl-1 SAR数据和高精度算法（SDWI和OTSU）生成，总体精度超过96%，包含3个shp矢量文件，适用于水资源管理和极端天气研究。