2015、2020年中国水库分布数据集

2015年水库数据由人工目视解译方法，使用Landsat 30 m分辨率数据制作，得到中国水库总水面面积为22504平方千米。2020年水库数据使用基于时间序列光学和SAR遥感数据的水体覆盖类型自动分类方法，基于Sentinel-1和Sentinel-2数据进行水体提取及形状特征计算，得到4种水体类型，总体精度为85.5%，水库精度为83.4%，总水面面积为24063平方千米。

The 2015 reservoir dataset was produced via manual visual interpretation using Landsat data with 30 m resolution, yielding a total surface water area of 22,504 km² for reservoirs in China. The 2020 reservoir dataset was developed using an automatic classification method for water cover types based on time-series optical and synthetic aperture radar (SAR) remote sensing data. Water bodies were extracted and their shape features calculated based on Sentinel-1 and Sentinel-2 data, resulting in four types of water bodies. The overall accuracy reached 85.5%, the extraction accuracy for reservoirs was 83.4%, and the total surface water area was 24,063 km².

搜集汇总

背景与挑战

背景概述

该数据集提供了2015年和2020年中国水库的分布信息，2015年数据基于人工目视解译和Landsat数据，2020年数据采用自动分类方法结合Sentinel-1和Sentinel-2数据，展示了水库面积的变化和空间分布特征。