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Forest and Grassland Resources Research >

2019 , Vol. 0 >Issue 2: 109 - 115

DOI: https://doi.org/10.13466/j.cnki.lyzygl.2019.02.016

Technical Application

Remote Sensing Monitoring Technology of Pine Wood Nematode Disease by Unmanned Aerial Vehicle in Shapingba,Chongqing

  • Honggan WU ,
  • Xiaowei MOU ,
  • Qingyu YANG ,
  • Chengbo WANG
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  • 1. The Research Institute of Forest Resources Information Technique,CAF,Beijing 100091,China
    2. Chongqing Baolvfeng Biotechnology Co.,Ltd.,Chongqing 401147,China
    3. Chongqing Academy of Forestry,Chongqing 400036,China
    4. Institute of Remote Sensing and Digital Earth,CAS,Beijing 100101,China

Received date: 2019-02-11

  Revised date: 2019-03-13

  Online published: 2020-09-22

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Abstract

Based on the analysis of the severe situation of pine wood nematode control in Chongqing,the detail steps of remote sensing monitoring of dead pine trees by UAV in Shapingba area are introduced.The spatial distribution of dead pine trees is analyzed.It shows the discrete distribution characteristics caused by vector insect transmission.The experience and tactics of low altitude remote sensing monitoring in complex terrain mountainous areas are summarized.It is important to study temporal and spatial distribution of the epidemic.

Key words： pine wood nematode disease(bursaphelenchus xylophilus); unmanned aerial vehicles remote sensing(UAVRS); monitoring; dead pine tree; workflow; spatial analysis

Cite this article

Honggan WU , Xiaowei MOU , Qingyu YANG , Chengbo WANG . Remote Sensing Monitoring Technology of Pine Wood Nematode Disease by Unmanned Aerial Vehicle in Shapingba,Chongqing[J]. Forest and Grassland Resources Research, 2019 , 0(2) : 109 -115 . DOI: 10.13466/j.cnki.lyzygl.2019.02.016

References

[1] 重庆市重大林业有害生物防控指挥部办公室关于印发《重庆市2018年松材线虫病疫情发生乡镇(林场)名单》的通知[EB/OL].(2018-09-17)[2019-02-02]. http://www.cqsf.gov.cn/index.php?id=6636
[2] 我区(重庆市荣昌区)召开2018年度松材线虫病专题会议[EB/OL].(2018-10-30)[2019-02-02]. http://www.rongchang.gov.cn/info/123231
[3] 乔睿, 唐娉, 石进, 等. WorldView-2影像的红叶松树识别研究[J]. 北京林业大学学报, 2015,37(11):33-40.
[4] 李德仁, 李明. 无人机遥感系统的研究进展与应用前景[J]. 武汉大学学报, 2014,39(5):505-513.
[5] 沙坪坝区[EB/OL].[2019-02-02].https://baike.baidu.com/item/沙坪坝区/2531479?fromtitle=沙坪坝&fromid=504644&fr=aladdin.
[6] 杨洪, 王进军, 赵志模, 等. 松褐天牛生物学特性的研究[J]. 贵州农业科学, 2010,38(1):77-80.
[7] 国家林业局2012年第3号公告[EB/OL].(2012-02-22)[2019-02-02]. http://www.forestry.gov.cn/portal/main/govfile/13/govfile_1895.htm
[8] 宁眺, 方宇凌, 汤坚, 等. 松材线虫及其传媒松墨天牛的监测和防治现状[J]. 昆虫知识, 2005,42(3):264-269.
[9] 萧刚柔. 中国森林昆虫[M]. 2版.北京: 中国林业出版社, 1992: 484.
[10] GB/T 23478-2009,松材线虫普查监测技术规程[S].
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