使用谷歌地球引擎对拉姆萨湿地进行基于时空空间的自动化洪水映射
Manish Kumar Goyal1, Shivukumar Rakkasagi2, Soumya Shaga2
1Department of Civil Engineering, Indian Institute of Technology, Indore, India. mkgoyal@iiti.ac.in.
Scientific reports
|October 13, 2023
概括
在中国的湿地淹水趋势.
科学领域:
- 生态生态学 生态生态学
- 环境科学 环境科学
- 遥感 遥感 遥感 遥感
背景情况:
- 湿地是重要的生态系统,支持多样化的动植物.
- 监测湿地淹水范围的变化对于保护至关重要.
- 拉姆萨地区是国际公认的具有重要意义的湿地.
研究的目的:
- 分析中国所有64个Ramsar地区的洪水模式和趋势.
- 评估从1991年到2020年湿地范围的变化.
- 为中国的Ramsar遗址提供保护策略的信息.
主要方法:
- 利用了从1991年到2020年的Landsat图像.
- 使用短波红外值技术生成年度洪水地图.
- 应用曼-肯达尔测试来确定每个地点的洪水趋势.
主要成果:
- 在8个拉姆萨地区观察到洪水的显著减少.
- 在14个Ramsar地区观察到大量的洪水增加.
- 分析实现了总体平均准确率为90.0%.
结论:
- 中国的湿地淹水模式显示出显著的变化.
- 对于呈现趋势变化的拉姆萨地区,保护战略至关重要.
- 长期遥感数据对于监测湿地动态是有效的.
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