GCL_FCS30:一个全球海岸线数据集,分辨率为30m,从2010年到2020年具有精细的分类系统
Jian Zuo1,2,3, Li Zhang4,5, Jingfeng Xiao6
1International Research Center of Big Data for Sustainable Development Goals, Beijing, 100094, China.
Scientific data
|January 22, 2025
概括
本研究介绍了全球海岸线数据集 (GCL_FCS30),这是第一个对海岸线进行分类的全球数据集. 它准确地绘制了各种各样的海岸线类型,包括人工海岸线,高精度.
科学领域:
- 地球和环境科学 地球和环境科学
- 地理信息系统 (GIS) 是一个地理信息系统.
- 遥感 遥感 遥感 遥感
背景情况:
- 沿海线是沿海过程和动态的关键指标.
- 现有的全球海岸线数据集主要集中在形态学上,缺乏详细的类型分类.
- 为了更好的沿海管理和研究,需要对全球海岸线进行全面的分类.
研究的目的:
- 开发全球海岸线数据集 (GCL_FCS30),包括全球海岸线的详细分类系统.
- 提供连续和光滑的线向量格式数据集,覆盖高度.
- 解决全球海岸线类型学数据集的差距.
主要方法:
- 使用组合算法的海岸线提取:修改的规范化差异水指数 (MNDWI) 和自适应值细分.
- 沿海线分类通过混合横断分类器集成随机森林算法与多源地质物理数据.
- 使用位置数据和第三方数据集进行验证,以评估准确性和空间相关性.
主要成果:
- GCL_FCS30数据集成功地捕获了各种海岸线类型,包括人造海岸线,并且具有很高的准确性.
- 在海岸线分类方面实现了整体准确度超过85%和卡帕系数超过0.75.
- 对每个海岸线类别的验证数据和高空间相关性有很强的一致性.
结论:
- GCL_FCS30是第一个提供详细海岸线类型的全球数据集,对高度地区特别有价值.
- 数据集的准确性和全面的分类为沿海研究和管理提供了显著的优势.
- 这一新型数据集通过连续,流的矢量数据增强了我们对全球沿海环境的理解.
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