ICESat-2与多源光学影像的潮滩地形反演方法

ICESat-2 and multivariate optical image for tidal flat topography inversion methods

针对潮滩地形监测存在的操作难度大、价格高、精度低等问题,本文基于ICESat-2卫星激光点云剖面数据,提出了结合多源光学影像的潮滩地形反演方法。以中国黄海辐射沙脊群的两大沙洲系统——条子泥与高泥为研究对象,利用低通滤波降噪技术提取地形高度值,并与潮汐水位数据相结合赋值,实现了从二维到三维的转换,提高了目前主流的水边线潮位赋值法的反演精度。该模型展现了更多滩面地形起伏变化的细节,高度差异明显,可以观测到清晰的潮沟地形。对比实测数据,相关系数为0.89,均方根误差为0.34 m。研究结果验证了ICESat-2数据对于潮滩地形反演的重要作用,为构建人类活动影响下的潮滩演化理论奠定了数据基础。

In response to the problems of large operational difficulties,high price and low accuracy of tidal flat topography monitoring,based on ICESat-2 satellite laser point cloud profile data,this paper proposes a digital elevation model inversion method combining multivariate optical images.The two major sandbar systems of the Tiaozini and Gaoni in the Yellow Sea of China are used as research objects.Using low-pass filtering techniques to extract topographic height values and combine them with tidal water level data to assign values,the conversion from 2D to 3D is achieved,and improves the inversion accuracy of the current mainstream waterline tide level assignment method.The model shows more detail of the topographic variation of the tidal flat surface,with significant differences in height,allowing the presence of clear tidal trench topography to be observed.Comparing the measured data,the correlation coefficient is 0.89 with a root mean square error of 0.34 m.The results of this study demonstrate the significance of ICESat-2 data for the inversion of beach topography and lay the data foundation for the construction of the theory of tidal flats evolution under the influence of human activities.