Remote estimation of shelterbelt width from SPOT5 imagery

被引:14
作者
Deng, R. X. [1 ]
Li, Y. [2 ]
Xu, X. L. [3 ]
Wang, W. J. [4 ]
Wei, Y. C. [1 ]
机构
[1] North China Univ Water Resources & Elect Power, Inst Resources & Environm, Zhengzhou 450045, Peoples R China
[2] Chinese Acad Sci, Northeast Inst Geog & Agroecol, Changchun 130012, Peoples R China
[3] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
[4] Henan Univ Econ & Law, Dept Resources & Environm Sci, Zhengzhou 450002, Peoples R China
基金
中国国家自然科学基金;
关键词
Remote sensing; Shelterbelt; Shelterbelt width; Agroforestry; LINEAR FEATURES; SAR IMAGES; WINDBREAKS; EXTRACTION;
D O I
10.1007/s10457-016-9915-1
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Width is one of the key parameters of a shelterbelt. Traditional methods to acquire this width are mainly based on field measurement, which is impractical for monitoring shelterbelts at regional scale. There are many studies analyzing linear objects, but they are not directly applicable to width detection of such objects. In this paper, we analyzed relationships among vegetation fractions retrieved from SPOT5 remote sensing imagery with 10 m x 10 m spatial resolution, shelterbelt area, and shelterbelt width in one pixel. Based on this analysis, we developed a method for recognizing shelterbelt width from a remote sensing image of central western Jilin Province, China. The result was validated by field measurement data and measurement from an aerial image of 0.5 m x 0.5 m spatial resolution. Mean absolute error was 2.40 and 2.73 m respectively, suggesting that the proposed method is feasible and its accuracy is acceptable. The study provides a valuable method for monitoring shelterbelt width across large spatial scales and an accurate input parameter for the recognition of shelterbelt porosity from remote sensing data in future research.
引用
收藏
页码:161 / 172
页数:12
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