1. The Key Laboratory for Silviculture and Conservation of Ministry of Education, Beijing Forestry University, Beijing 100083, China 2. Geography Information and Tourism College, Chuzhou University, Chuzhou 239000, China 3. Anhui Center for Collaborative Innovation in Geographical Information Integration and Application, Chuzhou 239000, China
Abstract：The physiological mechanism and ecological structure of forest trees can change with the changes of years. In a certain extent, the changes were expressed through the canopy spectral features. The mastery of changing rules about spectral characteristics of trees over the years is benefit to remote sensing interpretation and provide scientific basis for the classification of different trees. The study adopted high-resolution spectrometer to measure the canopy spectral characteristics for seven major deciduous trees and seven evergreen trees to gain the spectrum curve of four different ages and calculate the first derivative curve. The analysis of changing rules about spectral characteristics of different deciduous trees and evergreen trees and the comparison of changes about spectrum of various trees in the visible and infrared band could find the best year and best band for identification of trees. The results showed that the canopy spectral reflectance of deciduous and evergreen trees increases with the increase of age. And the spectral changes of two species were most obvious in the near infrared band.
Key words：Canopy;Spectral analysis;Inter annual variation;Lang Ya Mountains
[1] WANG Zhi-hui, LI Xia（王志辉，丽 霞）. Spectroscopy and Spectral Analysis(光谱学与光谱分析)，2010, 30(7): 1825. [2] YANG Kai, SHEN Wei-shou, LIU Bo, et al（杨 凯，沈渭寿，刘 波，等）. Remote Sensing Technology and Application（遥感技术与应用）, 2014, 29(1): 40. [3] XU Guang-cai, PANG Yong, LI Zeng-yuan, et al（徐光彩，庞 勇，李增元，等）. Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2013, 33(12): 3303. [4] ZHU Wei, LI Dong, SHEN Fei, et al(朱 炜，李 东，沈 飞，等). Forestry Science and Technology of Zhejiang(浙江林业科技), 2013, 33(2): 84. [5] LIU Ke, ZHAO Wen-ji, GUO Xiao-yu, et al（刘 克，赵文吉，郭逍宇，等）. Journal of Ecology（生态学报）, 2010, 30(21): 5853. [6] LIANG Yao-qin, ZENG Hui（梁尧钦，曾 辉）. Forestry Research of the World(世界林业研究), 2009, 22(1): 41. [7] PAN Pei-fen, YANG Wu-nian, DAI Xiao-ai, et al（潘佩芬，杨武年，戴晓爱，等）. Remote Sensing Technology and Application(遥感技术与应用), 2013, 28(6): 1000. [8] ZHOU Lei, XIN Xiao-ping, LI Gang, et al(周 磊，辛晓平，李 刚，等). Pratacultural Science(草业科学), 2009, 26(4): 20. [9] FENG Wei, ZHU Yan, YAO Xia, et al(冯 伟，朱 艳，姚 霞，等). Journal of Plant Ecology(植物生态学报), 2009, 33(1): 34. [10] SONG Kai-shan, ZHANG Bai, WANG Zong-ming, et al（宋开山，张 柏，王宗明，等）. Chinese Agricultural Science Bulletin（中国农学通报）, 2005, 21(1): 318. [11] GONG Peng, PU Rui-liang, YU Bin（宫 鹏，浦瑞良，郁 彬）. Journal of Remote Sensing(遥感学报), 1998, 2(3): 211.
