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

Content Provider	IEEE Xplore Digital Library
Author	Hui Ci Yong Qin Hui Yang Guoqiang Li Gefei Feng
Copyright Year	2011
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.
Starting Page	172
Ending Page	175
File Size	364504
Page Count	4
File Format	PDF
ISBN	9781457706448
DOI	10.1109/ISCCS.2011.54
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-16
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Reflectivity Distribution of vegetation Vegetation mapping Sea measurements Topography East beach of Chongming Feature extraction Inversion of elevation Remote sensing image Tides Spatial resolution Remote sensing
Content Type	Text
Resource Type	Article

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