从1990年到2021年,中国中部城市聚集地的长期水体类型数据集
Haozheng Ma1, Xiaohong Yang1, Runyu Fan1
1China University of Geosciences, Wuhan, School of Computer Science, Wuhan, 430078, China.
Scientific data
|March 23, 2025
概括
这项研究利用卫星数据和深度学习绘制了长江中部内陆水体的地图,为水资源管理提供了关键的见解. 由此产生的水-MRYR数据集为长期的时空动态提供了高准确度.
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:
- 了解内陆水体的时空动态对于有效的水资源管理至关重要.
- 现有的关于水体动态的数据有限,特别是在城市聚合规模上.
- 需要长期,高分辨率的绘图来跟踪变化,并为保护工作提供信息.
研究的目的:
- 从1990年到2021年,在长江中流 (MRYR) 城市聚集区生成多种内陆水体类型的年度地图.
- 利用Landsat卫星数据和弱监督的深度学习来准确,长期的水体测绘.
- 为水资源管理和湿地保护提供有价值的数据集.
主要方法:
- 采用弱监督的深度学习技术进行图像分析.
- 利用Landsat卫星数据,以30米空间分辨率创建年度地图.
- 在7年内使用14000个验证点进行了准确性评估,实现了94.50%的整体准确性.
主要成果:
- 成功生成了多种内陆水体类型的年度地图,用于MRYR城市聚集 (1990-2021年).
- 与其他映射产品相比,在长时间跨度,精细分类和高精度方面表现出卓越的性能.
- 水-MRYR数据集提供了三十年来水体动态的详细视图.
结论:
- 开发的水-MRYR数据集为了解内陆水体的长期时空动态提供了重大进展.
- 高精度和精细的分类系统使其成为水资源管理和湿地保护的可靠工具.
- 这项研究支持对MRYR地区的环境保护和可持续水资源利用的知情决策.
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