巢湖主体及附近水域水体变化监测图（2020年）

2020年6月下旬以来，受持续降雨影响，长江淮河流域多个地区湖泊、河流水位相继上涨，水位逼近或超出历史最高水位。为保证区域人民财产安全，在多个河流、湖泊的固定闸口和备用圩田进行了泄洪。为调查暴雨和洪水带来的淹没范围变化，中国科学院南京地理与湖泊研究所湖泊环境遥感团队依托国家地球系统科学数据中心湖泊科学数据分中心的技术力量基于雷达和光学卫星等多源遥感数据，辅以气象水文数据为参考提取了典型洪泛区洪水前后的淹没范围，计算淹没区面积及其变化，以期分析洪水带来的生态和经济影响。该数据集在巢湖周边洪泛区开展监测研究。以Sentinel-1的雷达卫星数据为主实现了研究区域内洪水事件发生前后至少1次的水体面积监测。
该数据集数据格式为jpg图片数据，每期数据出一张图。

Since late June 2020, affected by continuous rainfall, water levels of lakes and rivers in multiple regions of the Yangtze-Huaihe River Basin have risen successively, approaching or exceeding the historical maximum water levels. To ensure the safety of people's property in the region, flood discharge was carried out at fixed sluices and emergency polders of various rivers and lakes. To investigate the changes in inundation extent caused by the rainstorm and flood, the Lake Environmental Remote Sensing Team from the Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, relied on the technical support of the Lake Science Data Sub-center of the National Earth System Science Data Center. Based on multi-source remote sensing data including radar and optical satellites, and supplemented by meteorological and hydrological data as references, the team extracted the inundation extents of typical floodplains before and after the flood event, calculated the area of inundated areas and their changes, aiming to analyze the ecological and economic impacts brought by the flood. This dataset was developed for monitoring and research on floodplains around Chaohu Lake. Sentinel-1 radar satellite data was primarily used to monitor the water body area at least once before and after the flood event in the study area. The data format of this dataset is JPG image data, with one image produced for each data period.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于2020年巢湖主体及附近水域的水体变化监测，由中国科学院南京地理与湖泊研究所团队利用Sentinel-1雷达卫星等多源遥感数据生成，旨在分析洪水前后的淹没范围变化及其生态经济影响。数据以jpg图片格式呈现，每期数据对应一张监测图，适用于洪水灾害评估和环境研究。