基于Sentienl-1、GF-3号卫星多源雷达影像的2020年7月-8月鄱阳湖流域性洪水灾情程度分布数据集

2020年7月，受长江上游来水及江西省境内大面积致灾暴雨影响，鄱阳湖流域的平均水位不断升高，至7月6日2时，鄱阳湖湖口水文站水位涨至警戒水位19.50米，达到洪水编号标准，“鄱阳湖2020年第一号洪水”形成。本数据集基于鄱阳湖2020年洪水的长时序监测，获取多源密集时相的遥感数据为依据，构建此次鄱阳湖流域性洪水期间不同地区的淹没历时空间分布模型，依据行政边界对乡镇级行政单位的受灾情况进行科学评估，获取灾情程度分布数据集，为此次流域性洪水的防灾减灾工作提供科学支撑和理论依据。

In July 2020, driven by the inflow from the upper reaches of the Yangtze River and widespread disastrous rainfall within Jiangxi Province, the average water level of the Poyang Lake Basin continued to rise. At 2:00 on July 6, the water level at the Hukou Hydrological Station of Poyang Lake rose to the warning water level of 19.50 meters, meeting the flood numbering standard, and the "2020 No.1 Flood of Poyang Lake" was formed. This dataset is developed based on the long-term monitoring of the 2020 Poyang Lake flood, taking multi-source and dense-temporal remote sensing data as the core basis. We constructed a spatial distribution model of inundation duration for different regions during this basin-wide flood event in Poyang Lake, scientifically evaluated the disaster status of township-level administrative units based on their administrative boundaries, and obtained the disaster severity distribution dataset, which provides scientific support and theoretical basis for the flood prevention and disaster mitigation work of this basin-wide flood event.

搜集汇总

背景与挑战

背景概述

该数据集利用Sentienl-1和GF-3卫星多源雷达影像，通过严格的预处理和计算，生成了2020年7月-8月鄱阳湖流域洪水灾情程度分布数据，为灾害预防和减灾提供了科学依据。数据覆盖鄱阳湖流域，空间分辨率为27米，数据类型为栅格数据。