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Recognition of shelterbelt continuity using remote sensing and waveform recognition  ( SCI-EXPANDED收录)  

文献类型:期刊文献

英文题名:Recognition of shelterbelt continuity using remote sensing and waveform recognition

作者:Deng, R. X.[1];Li, Y.[2];Wang, W. J.[3];Zhang, S. W.[2]

第一作者:Deng, R. X.

通讯作者:Deng, RX[1]

机构:[1]North China Inst Water Resources & Elect Power, Inst Resources & Environm, Zhengzhou 450011, Peoples R China;[2]Chinese Acad Sci, Northeast Inst Geog & Agroecol, Changchun 130012, Peoples R China;[3]Henan Univ Econ & Law, Dept Resources & Environm Sci, Zhengzhou 450002, Peoples R China

第一机构:North China Inst Water Resources & Elect Power, Inst Resources & Environm, Zhengzhou 450011, Peoples R China

通讯机构:[1]corresponding author), North China Inst Water Resources & Elect Power, Inst Resources & Environm, Zhengzhou 450011, Peoples R China.

年份:2013

卷号:87

期号:4

起止页码:827-834

外文期刊名:AGROFORESTRY SYSTEMS

收录:;Scopus(收录号:2-s2.0-84879842368);WOS:【SCI-EXPANDED(收录号:WOS:000321519300008)】;

基金:This work was financially supported by the High-level Personnel Scientific Research Project in the North China Institute of Water Resources and Electric Power (201207), the National Natural Science Foundation of China (41101373), and the Science and Technology Research Guidance Plan Project of the Education Department of Henan Province (12B170001).

语种:英文

外文关键词:Shelterbelt; Belt continuity; Waveform recognition; Remote sensing

摘要:Shelterbelt systems play an important and long-term role in ecological stability and food security. Today, shelterbelts are threatened by anthropogenic destruction, plant diseases, and insect pests. Determining the continuity of shelterbelts is essential for the management and maintenance of complete and stable shelterbelt systems. In this paper, we acquired SPOT 5 images with a 10 m x 10 m spatial resolution, and, based on a GIS method, we generated belt waveforms using a waveform data collector. We then developed a waveform recognition model for belt continuity based on waveform recognition theory. Finally, we identified a minimum threshold value for the identification of belt gaps, and conducted belt continuity recognition in the study area. The results were compared with data calculated from aerial images with a 0.5 m x 0.5 m spatial resolution. When belt gaps were < 10 m, recognition was poor, but when belt gaps were between 10 and 20 m, the mean absolute error was 3.8 %, and when belt gaps were > 20 m, the mean absolute error was 2.7 %. We propose that this method provides a powerful new tool for the investigation and management of shelterbelt systems.

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