在埃塞俄比亚使用Sentinel-2数据进行大规模水资源监测的水指数的性能
Mathias Tesfaye1, Lutz Breuer2,3
1Institute for Landscape Ecology and Resources Management (ILR), Research Centre for BioSystems, Land Use and Nutrition (iFZ), Justus Liebig University Giessen, Giessen, Germany. mathias.abebe@umwelt.uni-giessen.de.
Environmental monitoring and assessment
|April 22, 2024
概括
这项研究评估了检测埃塞俄比亚地表水的水指数. 水指数 (WI) 和自动取水指数与影子 (AWEIsh) 证明是监测水资源和支持可持续发展的最准确的方法.
科学领域:
- 地球和环境科学 地球和环境科学
- 遥感 遥感 遥感 遥感
- 水文学的水文学
背景情况:
- 埃塞俄比亚面临水资源可用性和分配的有限数据.
- 有效的水资源管理,生物多样性保护和生态系统弹性取决于准确的水资源信息.
- 了解地表水面积对于国家发展和能源安全至关重要.
研究的目的:
- 评估埃塞俄比亚七个水指数的表现,以检测埃塞俄比亚的地表水.
- 为了确定最准确的指数,为国家范围的地表水位绘制地图.
- 为改善水资源管理和决策提供数据.
主要方法:
- 利用了从2021年12月到2022年11月的Sentinel-2卫星数据.
- 使用谷歌地球引擎进行数据处理和分析.
- 使用视觉检查和定量准确度指标 (总体,生产商,用户准确度) 评估指数表现.
主要成果:
- 水指数 (WI) 和带阴影的自动取水指数 (AWEIsh) 显示出卓越的表现.
- WI实现了96%的整体准确性,而AWEIsh实现了95%的整体准确性.
- 这两种指数都绘制了大量的地表水覆盖面,约为82,650平方公里 (WI) 和86,530平方公里 (AWEIsh).
结论:
- WI和AWEIsh对于在埃塞俄比亚绘制地表水的地图非常有效.
- 准确的地表水数据支持水资源规划,水库监测和经济发展.
- 应用这些指数有助于实现水资源可持续发展目标6.
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