DocumentCode :
3075346
Title :
Application of Vegetation Distribution in Inversion of Elevation Based on Remote Sensing Image of Tidal
Author :
Ci, Hui ; Qin, Yong ; Yang, Hui ; Li, Guoqiang ; Feng, Gefei
Author_Institution :
Key Lab. of CBM Resources & Pooling Process, China Univ. of Min. & Technol., Xuzhou, China
fYear :
2011
fDate :
16-17 July 2011
Firstpage :
172
Lastpage :
175
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.
Keywords :
geographic information systems; topography (Earth); vegetation; vegetation mapping; China; Landsat TM image; Normalized Difference Vegetation Index; Shanghai Chongming; contour lines; elevation inversion; flat muddy area; primary data source; remote sensing image; remote sensing survey; tidal beach; vegetation distribution application; vegetation resources; zonal distribution; Feature extraction; Reflectivity; Remote sensing; Sea measurements; Spatial resolution; Tides; Vegetation mapping; Distribution of vegetation; East beach of Chongming; Inversion of elevation; remote sensing image; topography;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Society (ISCCS), 2011 International Symposium on
Conference_Location :
Kota Kinabalu
Print_ISBN :
978-1-4577-0644-8
Type :
conf
DOI :
10.1109/ISCCS.2011.54
Filename :
6004412
Link To Document :
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