| 光谱学与光谱分析 |
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| Changes of Reflectance Spectra of Pine Needles in Different Stage after Being Infected by Pine Wood Nematode |
| XU Hua-chao1, 2, LUO You-qing1*, ZHANG Ting-ting2, SHI Yong-jun3 |
1. The Key Laboratory for Silviculture and Conservation of Ministry of Education, Beijing Forestry University, Beijing 100083, China
2. School of Forestry and Biotechnology, Zhejiang A ＆ F University，Lin’an 311300，China
3. School of Environmental Sciences and Technology，Zhejiang A ＆ F University，Lin’an 311300，China |
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Abstract In the present study, seedlings of Pinus Thunbergii and Pinus Massoniana were planted and used for reflectance spectrum measurement. In different stage after being infected by pine wood nematode, reflectance spectra were measured by ASD spectrometer and the features of spectral parameters and the change of chlorophyll were analyzed. The results showed that (1) Disease could be estimated in the early stage according to the curve of mid-infrared reflectance; (2) Dynamic parameters such as the position of red edge, green peak height, reflectance of red band, slope of red edge and reflectance of water-stressed wave band were consistent with the disease features of two pine species after being infected by pine wood nematode; (3) To both of two pine species, content of chlorophyll tended to reduce with the development of disease and obvious linear relationship was observed between chlorophyll content and spectral parameters. There results might be able to provide some theoretical basis for the application of remote sensing technology in monitoring of pine wood disease. In addition, it might be also used as theoretical support for the controlling measures in different stage after being infected by pine wood nematode.
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Received: 2010-07-01
Accepted: 2010-10-20
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Corresponding Authors:
LUO You-qing
E-mail: youqingluo@126.com
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[1] WANG Ming-xu(王明旭). Hunan Forestry Science & Technology(湖南林业科技), 2007，34(5): 4.
[2] SHI Jin, MA Sheng-an, JIANG Li-ya, et al(石 进, 马盛安, 蒋丽雅，等). Forest Pest and Disease(中国森林病虫), 2006，25(1): 18.
[3] SHEN Guang-rong, WANG Ren-chao(申广荣, 王人潮). Journal of Zhejiang University, Agriculture and Life Science Edition(浙江大学学报·农业与生命科学版), 2001, 27(6): 682.
[4] WANG Zhen, ZHANG Xiao-li, AN Shu-jie(王 震, 张晓丽, 安树杰). Remote Sensing Technology and Application(遥感技术与应用)，2007，26(3): 367.
[5] ZHANG Jin-heng, WANG Ke, WANG Ren-chao(张金恒, 王 珂, 王人潮). Journal of Shanghai Jiaotong University, Agriculture Science Edition(上海交通大学学报·农业科学版)，2003，21(1): 74.
[6] Jago R A, Curran P J. RSS95: Remote Sensing in Action (Nottingham: Remote Sensing Society)，1995. 442.
[7] Dawson T P, Curran P J. International Journal of Remote Sensing，1998，19(11): 2133.
[8] Boochs F, Kupfer G, Dockter K, et al. International Journal of Remote Sensing，1990，11: 1741.
[9] DU Hua-qiang, GE Hong-li, FAN Wen-yi, et al(杜华强, 葛宏立, 范文义, 等). Scientia Silvae Sinicae(林业科学)，2009，45(6): 68.
[10] XIE Li-qun, JU Yun-wei, ZHAO Bo-guang(谢立群，巨云为，赵博光). Scientia Silvae Sinicae(林业科学)，2004，40(4): 125.
[11] WU Tong, NI Shao-xiang, LI Yun-mei, et al(吴 彤, 倪绍祥, 李云梅, 等). Journal of Remote Sensing(遥感学报)，2007 11(1): 103.
[12] Horler D N H, Dockray M, Barber J. International Journal of Remote Sensing，1983，4(2): 273.
[13] Miller J R, Hare E W, Wu J. International Journal of Remote Sensing，1990，11(10): 1175.
[14] Helmi Z M S, Mohamad A M S, Azadeh G. American Journal of Applied Sciences，2006，3(6): 1864.
[15] Moses A C, Andrew K S. Remote Sensing of Environment，2006，101(2): 181.
[16] WU Ji-you, YANG Xu-dong, ZHANG Fu-jun, et al(吴继友, 杨旭东, 张福军, 等). Journal of Remote Sensing(遥感学报)，1997，5(2): 124.
[17] FAN Wen-yi, DU Hua-qiang, LIU Zhe(范文义, 杜华强, 刘 哲). Journal of Northeast Forestry University(东北林业大学学报)，2004，32(2): 45.
[18] ZHANG Feng-li, YIN Qiu, KUANG Ding-bo, et al(张风丽, 尹 球, 匡定波, 等). Acta Ecologica Sinica(生态学报)，2005，25(12): 3155.
[19] DAI Hui，HU Chun-sheng，CHENG Yi-song(代 辉，胡春胜，程一松). Chinese Journal of Eco-Agriculture(中国生态农业学报)，2007，15(5): 80.
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