Estimation of Chlorophyll Content in Apple Tree Canopy Based on Hyperspectral Parameters
PAN Bei, ZHAO Geng-xing*, ZHU Xi-cun, LIU Hai-teng, LIANG Shuang, TIAN Da-de
National Engineering Laboratory for Efficient Utilization of Soil and Fertilizer Resources,College of Resources and Environment, Shandong Agricultural University, Tai’an 271018, China
Abstract:The hyperspectral reflectance of apple tree canopy during spring shoots stopping growth period was measured using ASD FieldSpec3 field spectrometer. Original spectral data were processed in deviation forms, and significant spectrum parameters correlated with chlorophyll content were found out with correlation analysis. The best vegetation indices were chosen and the apple canopy chlorophyll content estimation model was established by analyzing vegetation index of two-band combination in the sensitive region 400~1 350 nm. The result showed that (1) The sensitive band region of apple canopy chlorophyll content is 400~1 350 nm. (2) The vegetation index CCI(D794/D763)can commendably estimate the apple canopy chlorophyll content. (3) The model with CCI(D794/D763)as the independent variables was determined to be the best for chlorophyll content prediction of apple tree canopy. Therefore, using hyperspectral technology can estimate apple canopy chlorophyll content more rapidly and accurately, and provides a theoretical basis for rapid apple tree canopy nutrition diagnosis and growth monitoring.
Key words:Apple tree;Canopy spectral;Chlorophyll content;Vegetation index;Estimating model
潘 蓓,赵庚星*,朱西存,刘海腾,梁 爽,田大德 . 利用高光谱植被指数估测苹果树冠层叶绿素含量 [J]. 光谱学与光谱分析, 2013, 33(08): 2203-2206.
PAN Bei, ZHAO Geng-xing*, ZHU Xi-cun, LIU Hai-teng, LIANG Shuang, TIAN Da-de . Estimation of Chlorophyll Content in Apple Tree Canopy Based on Hyperspectral Parameters. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2013, 33(08): 2203-2206.
[1] FENG Wei, ZHU Yan, TIAN Yong-chao, et al(冯 伟, 朱 艳, 田永超,等). Acta Ecologica Sinica(生态学报), 2008, 28(10): 4902. [2] Gitelson A A, Yuri Gritz, Merzlyak M N, et al. Journal of Plant Physiology, 2003., 160: 271. [3] Daughtry, Walthall, Kim, et al. Remote Sensing of Environment, 2000, 74: 229. [4] ZHU Xi-cun, ZHAO Geng-xing, LEI Tong(朱西存, 赵庚星, 雷 彤). Transactions of the Chinese Society of Agricultural Engineering(农业工程学报), 2009, 25(12): 180. [5] WAN Yu-qing, TAN Ke-long, ZHOU Ri-ping(万余庆, 谭克龙, 周日平). Hyperspectral Remote Sensing Applications(高光谱遥感应用研究). Beijing: Science Press(北京: 科学出版社), 2006. 137. [6] ZHU Xi-cun, ZHAO Geng-xing, WANG Rui-yan, et al(朱西存, 赵庚星, 王瑞燕,等). Scientia Agricultura Sinica(中国农业科学),2010, 43(6): 1189. [7] Gamon J A, Penuelas J, Field C B. Remote Sensing of Environment, 1992, 41: 35. [8] Metternicht G. Remote Sensing Environment, 2003, 24: 2855. [9] Pearson R L, Miller L D. Remote Sensing of the Environment, 1972: 1355. [10] GU Zhi-hong(顾志宏). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2012, 32(2): 435. [11] Blackburn G A. International Journal of Remote Sensing, 1998, 19: 657. [12] YAO Xia, ZHU Yan, TIAN Yong-chao, et al(姚 霞, 朱 艳, 田永超,等). Scientia Agricultura Sinica(中国农业科学), 2009, 42(8): 2716. [13] Gitelson A A, Kaufman Y, Merzlyak M N. Remote Sensing Environment, 1996, 58(3): 289.