| 光谱学与光谱分析 |
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| The Spectrum Characteristics of an Invasion Plant: Eupatorium Adenophorum Spreng |
| CHEN Jun1, 2，QUAN Wen-ting3，ZHOU Guan-hua4，WEN Zhen-he1, 2 |
1. The Key Laboratory of Marine Hydrocarbon Resource and Geology, Qingdao 266071, China
2. Qingdao Marine Geosciences Institute, Qingdao 266071, China
3. College of Resources Sciences and Technology, Beijing Normal University, Beijing 100875, China
4. School of Instrumentation Science and Opto-Electronics Engineering, Beihang University, Beijing 100191, China |
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Abstract Eupatorium adenophorum Spreng. (EAS) is a toxic invasion plant and has caused significant economic and environmental impacts in China. The EAS has the characteristics of widely distributing and quickly spreading. The traditional detecting and supervising methods become invalid when applied for managing the spatial distribution of EAS. Based on the analyzing results of the spectrum features of EAS, the present paper tried to structure the identifying models by remote sensing. The main objective of this paper is to develop an available method for detecting and mapping the spatial distribution of EAS. The study shows that the spectrum of EAS has two reflecting peaks and one absorbing trough. The corresponding wavelengths of those peaks are 560，730 and 674 nm, respectively. The absorption characteristics of EAS at 647 nm are that the absorbing depth is 0.504 3-1.910 3, the absorbing width is 13.778 9-17.251 8 nm and the area at the left absorption band is greater than the right, and the corresponding area ratio of left to right is 1.771 9-2.444 1. The white flowers of EAS make the reflectance higher at visible bands, and the first-order derivatives of EAS spectral show a wave peak at 420 nm. Compared with the spectral feature of other representative materials, the absorbing characteristics at 647 nm, such as absorption width and absorption depth, and the peak at 420 nm of derivatives spectral are special features of EAS spectral, which can be used as remotely sensed parameters for detecting and mapping the EAS at florescence.
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Received: 2009-09-02
Accepted: 2009-12-06
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Corresponding Authors:
CHEN Jun
E-mail: chenjun820711@163.com
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[1] XU Zheng-hao, WANG Yi-ping(徐正浩,王一平). Chinese Journal of Ecology(生态学杂志), 2004, 23(3): 124.
[2] ZHENG Yuan-chao, FENG Yu-long(郑元超, 冯玉龙). Acta Ecological Sinica(生态学报), 2005, 25(4): 727.
[3] LU Ping, SANG Wei-guo, MA Ke-ping(鲁 萍, 桑卫国, 马克平). Acta Phytoecologica Sinica(植物生态学报), 2005, 29(6): 1029.
[4] Sun X Y, Lu Z H, Li P H, et al. Journal of Forestry Research, 2006, 12(2): 116.
[5] Wang J Y, Zhang H W, Huang R F. Plant Mol. Bio. Rep., 2007, 25: 37.
[6] Kaushal V, Dawra R K, Sharma O P, et al. Toxicon., 2001, 39: 615.
[7] Rymer C. Animal Feed Science and Technology, 2008, 141: 49.
[8] FANG Hong-liang, TIAN Qing-jiu(方红亮, 田庆久). Remote Sensing Technology and Application(遥感技术与应用), 1998, 13(1): 62.
[9] Gregory P A, Matthew O J, Roberta E M, et al. Remote Sensng of Environment, 2008, 112: 1912.
[10] Stephen J W, Amy L M, Carlos F M, et al. Remote Sensing of Environment, 2008, 112: 1927.
[11] YANG Ke-ming, GUO Da-zhi, CHEN Yun-hao(杨可明, 郭达志, 陈云浩). Computer Engineer and Application(计算机工程与应用), 2006, 31: 213.
[12] MA Lian-xiang, PENG Yin, XIAO Lian-kan, et al(马联祥, 彭 音, 肖连康, 等). Journal of Xichang College·Natural Science Edu.(西昌学院学报·自然科学版), 2005, 19(1): 68.
[13] ZHANG Yun-xia, LI Xiao-bing, CHEN Yun-hao(张云霞, 李晓兵, 陈云浩). Advance in Earth Sciences(地球科学进展), 2003, 18(1): 85.
[14] XING Xiao-gang, ZHAO Dong-zhi, LIU Yu-guang, et al((邢小罡, 赵冬至, 刘玉光, 等). Journal of Remote Sensing(遥感学报), 2007, 11(1): 137.
[15] Shrestha D P, Margate D E, Meer F V, et al. International Journal of Applied Earth Observation and Geoinformation，2005, 7: 85.
[16] TONG Qing-xi, ZHANG Bing, ZHENG Lan-fang(童庆禧, 张 兵, 郑兰芳). Hyperspectral Remote Sensing and It’s Multidisciplinary Applications(高光谱遥感的多学科应用). Beijing: Publishing House of Electronics Industry(北京: 电子工业出版社), 2006.
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