Built-up and vegetation extraction and density mapping using WorldView-II

被引:37
|
作者
Kumar, Amit [1 ]
Pandey, Arvind Chandra [2 ]
Jeyaseelan, A. T. [3 ]
机构
[1] Cent Univ Jharkhand, Ctr Land Resource Management, Ranchi 835205, Bihar, India
[2] Birla Inst Technol, Dept Remote Sensing, Ranchi 835215, Bihar, India
[3] Jharkhand Space Applicat Ctr, Dept Informat Technol, Ranchi 834004, Bihar, India
关键词
built-up extraction; normalized difference vegetation index; density mapping; WorldView-II; URBAN; INDEX; AREAS;
D O I
10.1080/10106049.2012.657695
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study demonstrates the use of high resolution WorldView-II satellite data in extraction of built-up land and vegetation using normalized index techniques. The PCA 1 and NIR 2 bands-based built-up index was proposed for extracting built-up land, which exhibit high accuracy. The normalized difference vegetation index based on Red Edge and NIR 2 bands of WorldView-II produced high accuracy in the estimation of vegetation compared to the use of Red and NIR bands. The grid technique used in estimating built-up and vegetation density from precisely classified images provided better and accurate assessment of built-up and vegetation density in heterogeneous landscape of urban areas. This shows areas of very high to high built-up density are located in the central, western and southern parts, which are primarily devoid of vegetation. This study indicates possibilities of utilizing high resolution satellite data in urban landscape characterization using a grid-based technique.
引用
收藏
页码:557 / 568
页数:12
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