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Volume 40 Issue 3
Nov.  2019
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ZENG Quan, SUN Hua-fu, YANG Yuan-liang, ZHOU Jian-hua, YANG Chao. Precision Comparison for Pine Wood Nematode Disease Monitoring by UAV[J]. Journal of Sichuan Forestry Science and Technology, 2019, 40(3): 92-95,114. doi: 10.16779/j.cnki.1003-5508.2019.03.019
Citation: ZENG Quan, SUN Hua-fu, YANG Yuan-liang, ZHOU Jian-hua, YANG Chao. Precision Comparison for Pine Wood Nematode Disease Monitoring by UAV[J]. Journal of Sichuan Forestry Science and Technology, 2019, 40(3): 92-95,114. doi: 10.16779/j.cnki.1003-5508.2019.03.019

Precision Comparison for Pine Wood Nematode Disease Monitoring by UAV


doi: 10.16779/j.cnki.1003-5508.2019.03.019
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  • Received Date: 2019-02-13
  • Remote sensing images of unusual dead pines were acquired at the heights of 430m and 700m by UAV (unmanned aerial vehicle) equipped with the visible light camera.The geographic location information collected by GPS was compared with the data processing information of ENVI software and the data processing information of interpretation.Six dead pine trees were identified by artificial screening and seven dead pine trees were identified by the NDVI value.Data extraction efficiency was 85.7%.The horizontal error was between 0.86 m and 4.20 m for geographical location information of the six dead pine trees obtained by remote sensing.The results showed that unmanned aerial vehicle remote sensing had basically realized the accurate location of pine trees dying from the pine wood nematode disease,which was of great significance for the early monitoring and later treatment of the pine wood nematode disease.
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  • [1] 谢伟忠,黄焕华,黄茂俊等.广东省林业有害生物的发生与防控[J].环境昆虫学报,2017,39(6):1191~1197.
    [2] 林孝春.松材线虫病的危害及防控措施综述[J].华东森林经理,2015,29(03):28~30.
    [3] 张红梅,陆亚刚.无人机遥感技术国内松材线虫病监测研究综述[J].华东森林经理,2017,31(03):29~32.
    [4] 李卫正,申世广,何鹏等.低成本小型无人机遥感定位病死木方法[J].林业科技开发,2014,06(25):102~106.
    [5] 邓书斌.ENVI遥感影像处理方法[M].北京:科学出版社,2010.
    [6] 徐冬青,唐新军,贺铮.遥感图像处理软件ENVI与GIS软件的信息转换[J].水资源与水工程学报,2005,16(1):67~70.
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Precision Comparison for Pine Wood Nematode Disease Monitoring by UAV

doi: 10.16779/j.cnki.1003-5508.2019.03.019
  • Sichuan Academy of Forestry, Chengdu 610081, Sichuan, China;Foresty Bureau of Xide County, Liangshan 616750, China;Chengdu Tianqi Science and Technology Ltd., Chengdu 610213, China

Abstract: Remote sensing images of unusual dead pines were acquired at the heights of 430m and 700m by UAV (unmanned aerial vehicle) equipped with the visible light camera.The geographic location information collected by GPS was compared with the data processing information of ENVI software and the data processing information of interpretation.Six dead pine trees were identified by artificial screening and seven dead pine trees were identified by the NDVI value.Data extraction efficiency was 85.7%.The horizontal error was between 0.86 m and 4.20 m for geographical location information of the six dead pine trees obtained by remote sensing.The results showed that unmanned aerial vehicle remote sensing had basically realized the accurate location of pine trees dying from the pine wood nematode disease,which was of great significance for the early monitoring and later treatment of the pine wood nematode disease.

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