滁河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。该数据集在安徽滁河（部分）段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, driven by continuous rainfall, water levels in lakes and rivers across multiple regions of the Yangtze-Huaihe River Basin have risen sequentially, approaching or exceeding the historical maximum water levels. To safeguard the property safety of local residents, flood discharge operations were carried out at fixed sluices and emergency polders of numerous rivers and lakes. To investigate the changes in inundation extent caused by the torrential rain and flood, the Lake Environmental Remote Sensing Team from the Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences leveraged the technical capabilities of the Lake Science Data Sub-center of the National Earth System Science Data Center. The team extracted inundation extents of typical floodplains before and after the flood event using multi-source remote sensing data including radar and optical satellites, with meteorological and hydrological data as supplementary references. They also calculated the area of inundated regions and their variation trends, aiming to analyze the ecological and economic impacts induced by the flood. This dataset was developed based on monitoring and research conducted in the floodplain of the partial section of the Chu River in Anhui Province. Sentinel-1 radar satellite data was primarily utilized to conduct water body area monitoring at least once before and after the flood event within the study area. The data format of this dataset is JPG images, with one image provided for each data release.

搜集汇总

背景与挑战

背景概述

该数据集提供了2020年滁河及附近水域的水体变化监测图，主要用于分析暴雨和洪水带来的淹没范围变化及其生态经济影响。数据基于Sentinel-1雷达卫星和哨兵2号多光谱数据，通过遥感技术提取水体面积，并以jpg图片格式呈现。