Study on Relationships between Total Chlorophyll with Hyperspectral Features for Leaves of Pinus Massoniana Forest
DU Hua-qiang1, GE Hong-li1, FAN Wen-yi2, JIN Wei1, ZHOU Yu-feng1, LI Jin1
1. School of Environmental Sciences and Technology, Zhejiang Forestry College, Hangzhou 311300, China 2. College of Forestry, Northeast Forestry University, Harbin 150040, China
Abstract:In the present study, the authors built the relationships between the total chlorophyll and hyperspectral features of P. massoniana. The research results showed that (1) chlorophyll content has a good linear relationship with spectral reflectance around 527, 703, 1 364 and 1 640 nm, and this result is helpful for us to select some important bands when monitoring P. massoniana by remote sensing image; (2) all of the nine kinds of spectral feature parameters including red edge position, mean reflectance of red edge, mean reflectance around red edge position, red edge slope, red edge area, absorption depth of red band,green peak height, red edge normalized difference vegetation index and red edge vegetation stress index, have exponential function relationship (r=0.5-0.7) with the total chlorophyll; (3) the total chlorophyll content can be predicted by multivariate model by the nine spectral feature parameters, and partial least-squares regression model have higher prediction accuracy than the traditional multivariate linear model. The model’s root mean square (RMS) is 0.008 8, and mean absolute percentage error is 0.761 7%. During the growth of vegetation, biochemical parameters such as chlorophyll have vital function, for example, it can indicate the health status or pathological feature. So, the models mentioned just above will help us understand the ecological process of P. massoniana forest and provide valuable reference for monitoring P. massoniana and pine wood nematode disease by remote sensing technique.
杜华强1,葛宏立1,范文义2,金 伟1,周宇峰1,李 进1 . 马尾松针叶光谱特征与其叶绿素含量间关系研究[J]. 光谱学与光谱分析, 2009, 29(11): 3033-3037.
DU Hua-qiang1, GE Hong-li1, FAN Wen-yi2, JIN Wei1, ZHOU Yu-feng1, LI Jin1 . Study on Relationships between Total Chlorophyll with Hyperspectral Features for Leaves of Pinus Massoniana Forest. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2009, 29(11): 3033-3037.
[1] Helmi Z M S, Mohamad A M S, Azadeh G. American Journal of Applied Sciences, 2006, 3(6): 1864. [2] Dawson T P, Curran P J. International Journal of Remote Sensing, 1998, 19(11): 2133. [3] JIN Zhen-yu, TIAN Qing-jiu, HUI Feng-ming, et al(金震宇, 田庆久, 惠凤鸣, 等). Remote Sensing Technology and Application(遥感技术与应用), 2003, 18(3):134. [4] HUANG Wen-jiang, WANG Ji-hua, LIU Liang-yun, et al(黄文江, 王纪华, 刘良云, 等). Remote Sensing Technology and Application(遥感技术与应用), 2003, 18(4):206. [5] TAN Chang-wei, WANG Ji-hua, GUO Wen-shan, et al(谭昌伟, 王纪华, 郭文善, 等). Journal of Fujian Agriculture and Forestry University, Natural Science Edition)(福建农林大学学报·自然科学版), 2006,35(2):123. [6] LI Xiang-yang, LIU Guo-shun, SHI Zhou, et al(李向阳, 刘国顺, 史 舟, 等). Journal of Remote Sensing(遥感学报), 2007, 11(2):269. [7] YUAN Jie, WANG Deng-wei, HUANG Chun-yan, et al(袁 杰, 王登伟, 黄春燕, 等). Agricultural Research in the Arid Areas(干旱地区农业研究),2007, 25(3):89. [8] 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),2007,22(3):367. [9] Moses A C, Andrew K S. Remote Sensing of Environment, 2006, 101(2):181. [10] 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. [11] 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. [12] 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. [13] Ray Merton. Proceedings of the Seventh annual JPL Airborne Earth Science Workshop, NASA, Jet Propulsion Laboratory, Pasadena, California, Usa. 12-16 January, 1998. [14] WANG Hui-wen, WU Zai-bin, MENG Hao(王惠文, 吴载斌, 孟 浩). Partial Least Sqiares Regression-Linear and Nonlinear Methods(偏最小二乘回归的线性与非线性方法). Beijing: National Defense Industry Press, China, 2006.