中国-LDRL_中国地表水体_大型水坝_水库和湖泊数据集

该数据集基于对2019年在谷歌地球引擎中可用的19338张陆地卫星图像及谷歌地球的高空间分辨率图像的分析，构建了中国地表水体、大坝、水库和湖泊的全面数据集。该数据集涵盖了全国范围内的地表水资源，为地表水动态监测、资源管理和环境保护提供了高精度的数据支持，具有重要的科学研究和应用价值，可用于水资源管理、防洪减灾和生态环境评估等多个领域。Based on the analysis of 19,338 Landsat images and high-spatial-resolution imagery from Google Earth that were available on Google Earth Engine in 2019, a comprehensive dataset of surface water bodies, dams, reservoirs and lakes across China has been developed. This dataset covers national-scale surface water resources, providing high-precision data support for dynamic surface water monitoring, resource management and environmental protection. It holds significant scientific research and application values, and can be applied in multiple fields including water resources management, flood prevention and disaster mitigation, as well as ecological environment assessment.

搜集汇总

背景与挑战

背景概述

该数据集是一个2019年中国地表水体综合矢量数据集，基于Google Earth Engine的19338幅陆地卫星图像和高分辨率Google Earth图像构建，覆盖全国范围。它提供高精度地表水、大型水坝、水库和湖泊数据，适用于水资源管理、洪水防控和生态环境评估等应用。