Application of Vegetation Distribution in Inversion of Elevation Based on Remote Sensing Image of Tidal

Hui Ci, Yong Qin, Hui Yang, Guoqiang Li, Gefei Feng
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Abstract

For the poor condition of accessibility and varied deposition of the tidal beach, the basic information such as topography is hard to be retrieved, and it is difficult to monitor the change of the tidal beach. This paper takes the flat muddy area of the east beach in Chong ming of Shanghai as the typical research area, and takes Land sat TM image and the relevant data as the primary data source. Based on the observed data, this paper analyzes spectral feature of main vegetation of east beach in Chong ming, and coupling extracts the vegetation in tidal beach by using Normalized Difference Vegetation Index (NDVI) and the vegetation distribution retrieved by vegetation resources remote sensing survey. In addition, features of zonal distribution of the tidal beach, contributes to the support of the assistant extraction of elevation. After the contrast between vegetation distribution and contour lines, it is shown that the region of three classes of vegetation can be used to inverse the relative elevation, to provide the foundation to determine the elevation of beach face.
植被分布在潮汐遥感影像高程反演中的应用
由于潮滩可达性差,沉积多变,地形等基本信息难以检索,难以监测潮滩的变化。本文以上海崇明东滩平坦泥泞区为典型研究区,以landsat TM影像及相关数据为主要数据源。基于实测资料,分析了崇明东滩主要植被的光谱特征,利用归一化植被指数(NDVI)与植被资源遥感调查反演的植被分布耦合提取了潮滩植被。此外,潮滩的地带性分布特征也为高程的辅助提取提供了支持。通过植被分布与等高线对比,表明三类植被所在区域可用于反演相对高程,为确定滩面高程提供基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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