A New Approach for Vegetation Change Detection in Urban Areas

被引：1

作者：

Yu Hui ^{[1
]}

Jia Yonghong ^{[1
]}

机构：

[1] Wuhan Univ, Sch Remote Sensing & Informat Engn, 129 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China

来源：

GEO-SPATIAL INFORMATION SCIENCE | 2006年 / 9卷 / 04期

关键词：

vegetation; change detection; change vector; mask;

D O I：

10.1007/BF02826744

中图分类号：

TP7 [遥感技术];

学科分类号：

081102 ; 0816 ; 081602 ; 083002 ; 1404 ;

摘要：

Because of complex change in urban areas, modified CVA application based on mask techniques can minify the effect of non-vegetation changes and improve upon efficiency to a great extent. Moreover, drawing from methods in polar plots, the technique measures changes with absolute angular and total magnitude of PVI calculated on the basis of linear fit with least-square estimation and GVI calculated using 3D G-S transformation. Finally, this application is performed with Landsat ETM+ imageries of Wuhan in 2002 and 2005, and assessed by error matrix, in the way it could detect change pixels 94.91% correct, and the total consistent coefficient Kappa could reach to 0.85. The evaluation result demonstrates this new application trends as an efficient and effective alternative to urban vegetation change extraction.

引用

页码：298 / 305

页数：8

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