文献类型：期刊文献

英文题名：Remote estimation of shelterbelt width from SPOT5 imagery

作者：Deng, R. X.[1];Li, Y.[2];Xu, X. L.[3];Wang, W. J.[4];Wei, Y. C.[1]

第一作者：Deng, R. X.

通讯作者：Xu, XL[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

第一机构：North China Univ Water Resources & Elect Power, Inst Resources & Environm, Zhengzhou 450045, Peoples R China

通讯机构：[1]corresponding author), Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China.

年份：2017

卷号：91

期号：1

起止页码：161-172

外文期刊名：AGROFORESTRY SYSTEMS

收录：;Scopus(收录号：2-s2.0-84959355305);WOS:【SCI-EXPANDED(收录号:WOS:000394177900013)】；

基金：This work was supported by the National Natural Science Foundation of China under grant number 31400612, the Key Technologies Research and Development Program of Henan Province under Grant Number 142102110147, and the Key Carbon Program of the Chinese Academy of Sciences under Grant Number XDA05060400.

语种：英文

外文关键词：Remote sensing; Shelterbelt; Shelterbelt width; Agroforestry

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.