摘要
传统的地面水深测量通常需要大量的人力、物力和时间成本,尤其是在煤矿塌陷区的测量工作中,难度较大。冰、云和陆地高程卫星2号(ICESat-2)的卫星数据具有大范围、高效率的优势,可以覆盖更广阔的区域,适用于地面复杂且难以接近的环境。这种高效、非接触的测量方式为监测煤矿塌陷区提供了便捷的解决方案。本文以山东省济宁市某煤矿塌陷区水域为研究对象,使用自适应基于密度的空间聚类应用去噪(DBSCAN)算法对ICESat-2信号去噪,得到研究区线状分布的ICESat-2水深点。结果表明:无人船验证水深数据与ICEsat-2激光雷达数据推导出的水深值之间存在高度的一致性,决定系数R2值为0.98,均方根误差R_(MSE)为0.68m。
Traditional ground-based water depth measurements often require substantial human,material,and time resources,especially in coal mine subsidence areas,where the task becomes particularly challenging.The satellite data from Ice,Cloud,and land Elevation Satellite 2(ICESat-2)offers significant advantages in terms of wide coverage and high effi⁃ciency,making it suitable for areas that are difficult to access due to complex terrain.This efficient,non-contact measure⁃ment method provides a convenient solution for monitoring coal mine subsidence zones.This study focuses on the water area of a coal mine subsidence area in Jining,Shandong Province,using the adaptive density-based spatial clustering for applica⁃tions with noise(DBSCAN)algorithm to denoise the ICESat-2 signals,resulting in a linear distribution of water depth points.The results show that there is a high degree of consistency between the water depth data measured by unmanned boats and the water depth values derived from the ICESat-2 light detection and ranging(LiDAR)data,with a coefficient of deter⁃mination R^(2)of 0.98 and a root mean square error R_(MSE)of 0.68 m.
作者
尹飞
张西步
张悦
刘承旭
YIN Fei;ZHANG Xibu;ZHANG Yue;LIU Chengxu(Geological and Mineral Construction Branch,Shandong Energy Group Construction Group Company Limited,Jining,Shandong 273500,China;Institute of Oceanology,Chinese Academy of Sciences(IOC),Qingdao,Shandong 266071,China)
出处
《北京测绘》
2025年第9期1245-1250,共6页
Beijing Surveying and Mapping
基金
山东省自然科学基金(ZR2023MD082)。
关键词
数据去噪
折射纠正
水深
煤矿治理
data denoising
refraction correction
water depth
coal mine remediation
