{"title":"Application of Vegetation Distribution in Inversion of Elevation Based on Remote Sensing Image of Tidal","authors":"Hui Ci, Yong Qin, Hui Yang, Guoqiang Li, Gefei Feng","doi":"10.1109/ISCCS.2011.54","DOIUrl":null,"url":null,"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.","PeriodicalId":326328,"journal":{"name":"2011 International Symposium on Computer Science and Society","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Symposium on Computer Science and Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCCS.2011.54","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.