Autumn Variation Characteristics Analysis of Leaf Spectrum of Several Common Tree Species
WU Jian1, PENG Jian1, WANG Meng-he2, XU Jian-hui1, GU Liu-wan1
1. Anhui Center for Collaborative Innovation in Geographical Information Integration and Application, Chuzhou University, Chuzhou 239000, China
2. Nanjing Institute of Surveying, Mapping & Geotechnical Investigation, Co. Ltd., Nanjing 210019, China
Abstract：Leaf growth will change along with time, so species spectral characteristics will be affected. The researches on spectral changing rule of the same tree leaf under the conditions of different time and spectral characteristics of different tree leaves under the condition of the same time can not only provide theoretical basis for vegetation leaf spectral change rule along with time, but also are the keys of vegetation information accurate identification with hyperspectral remote sensing. Ten kinds of common tree species in Beijing were selected and leaf spectrum of each tree species in different time was observed by using spectrometer. At the same time, the observed spectrum was dealt with first order differential and typical bands analysis. Then spectrum difference of different tree leaves at the same time were contrasted and spectrum change laws of the same species in different time were analyzed, and the effective bands of species identification by hyperspectral remote sensing under the condition of different time were explored. The results showed that the leaf spectrum of different tree species had significant changes along with time but the changing rules were different, and there were significant differences among different tree species leaves spectrum in the same time, so it proved a theoretical basis for high precision tree species identification. This study aims at providing basic data and theoretical support for tree species identification of hyperspectral remote sensing and the building of leaf spectrum base database.
Key words：Leaf spectrum; Tree species; Hyperspectral; Spectral analysis
[1] YAO Yun-jun, QIN Qi-ming, ZHANG Zi-li, et al(姚云军，秦其明，张自力，等). Transactions of the Chinese Society of Agricultural Engineering(农业工程学报)，2008，24(7): 301.
[2] TAN Chang-wei, WANG Ji-hua, HUANG Wen-jiang, et al(谭昌伟，王纪华，黄文江，等). Journal of Northwest A&F University·Natural Science Edition(西北农林科技大学学报·自然科学版)，2005，33(5): 151.
[3] SONG Kai-shan, ZHANG Bai, WANG Zong-ming, et al(宋开山，张 柏，王宗明，等). Transactions of the Chinese Society of Agricultural Engineering(农业工程学报)，2006，22(8): 16.
[4] GAO Shu-ran, PAN Cun-de, WANG Zhen-xi, et al(高淑然，潘存德，王振锡，等). Xinjiang Agricultural Sciences(新疆农业科学)，2011，48(11)：1961.
[5] CHAI Zhong-ping, CHEN Bo-lang, JIANG Ping-an, et al(柴仲平，陈波浪，蒋平安，等). Chinese Journal of Eco-Agriculture(中国生态农业学报)，2014，22(1)：80.
[6] TAN Chang-wei, ZHOU Qing-bo, QI La, et al(谭昌伟，周清波，齐 腊，等). Chinese Journal of Applied Ecology(应用生态学报)，2008，19(6)：1261.
[7] ZHU Xi-cun, ZHAO Geng-xing, LEI Tong, et al(朱西存，赵庚星，雷 彤，等). Spectroscopy and Spectral Analysis(光谱学与光谱分析)，2010，30(6)：1591.
[8] DING Yong-qian, ZHU Yan, LI Yang, et al(丁永前，朱 艳，李 杨，等). Transactions of the Chinese Society for Agricultural Machinery(农业机械学报)，2013，44(12)：210.
[9] WANG Lei, BAI You-lu(王 磊，白由路). Plant Nutrition and Fertilizer Science(植物营养与肥料学报)，2006，12(6)：902.
[10] HUANG Shuang-ping, HONG Tian-sheng, YUE Xue-jun, et al(黄双萍，洪添胜，岳学军，等). Transactions of the Chinese Society for Agricultural Machinery(农业机械学报)，2013，44(4)：202.
[11] XING Dong-xing, CHANG Qing-duan(邢东兴，常庆瑞). Journal of Northwest A&F University·Natural Science Edition(西北农林科技大学学报·自然科学版)，2009，37(2)：142.
[12] GENG Xiang, CHEN Bin, YE Jing, et al(耿 响，陈 斌，叶 静，等). Transactions of the Chinese Society of Agricultural Engineering(农业工程学报)，2009，25(10)：345.
