Study on Hyperspectra Estimation of Pigment Contents in Canopy Leaves of Winter Wheat Under Disease Stress
JIANG Jin-bao1,2,CHEN Yun-hao1*,HUANG Wen-jiang3
1. College of Resources Science and Technology,Beijing Normal University,Beijing 100875,China 2. College of Surveying and Land Information Engineering,Henan Polytechnic University,Jiaozuo 454000,China 3. National Engineering Research Center for Information Technology in Agriculture,Beijing 100089,China
Abstract:The canopy reflectance of winter wheat infected with stripe rust was measured in the field through artificial inoculation,and the pigment contents of the wheat leaves were determined indoor. The correlation between pigment contents and canopy hyperspectra data and the first derivative data of the disease wheat were analyzed respectively. Using linear and non-linear regression methods,and choosing a part of samples,the estimation models about pigment contents of disease wheat were built. Through the test of the other part samples,the result shows that the model containing the normalized value of the sum of first derivative within green edge (SDg) and the sum of first derivative within red edge (SDr) is the best one. The model was used to estimate the contents of chlorophyll a and chlorophyll b and carotenoid of the disease wheat,and the relative errors were 17.0%,16.3% and 12.4%,respectively. This study shows that canopy hyperspectra data can be used to estimate the pigment contents of crops leaves and the estimation precision is high. This conclusion has great practice and application value to monitor the growing way of and disease influence on crops by using hyperspectral remote sensing.
蒋金豹1,2,陈云浩1*,黄文江3 . 病害胁迫下冬小麦冠层叶片色素含量高光谱遥感估测研究[J]. 光谱学与光谱分析, 2007, 27(07): 1363-1367.
JIANG Jin-bao1,2,CHEN Yun-hao1*,HUANG Wen-jiang3. Study on Hyperspectra Estimation of Pigment Contents in Canopy Leaves of Winter Wheat Under Disease Stress. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2007, 27(07): 1363-1367.
[1] Filella D,Pen-uelas J. International Journal of Remote Sensing,1994,15(7): 1459. [2] TANG Yan-lin,WANG Ji-hua,HUANG Jing-feng,et al(唐延林,王纪华,黄敬峰,等). Transactions of the Chinese Society of Agricultural Engineering(农业工程学报),2003,19(6): 167. [3] Collins W. Photogrammetric Engineering and Remote Sensing,1978,44: 43. [4] ZHANG Hong-ming(张宏名). Spectroscopy and Spectral Analysis(光谱学与光谱分析),1994,14(5): 25. [5] Horler D N H,Barber J P,Ferns D C,et al. Advanced Space Reseach,1983,3: 175. [6] Horler D N H,Dockray M,Barber J P,et al. Advanced Space Reseach,1983,3: 273. [7] Horler D N H,Dockray M,Barber J P,et al. International Journal of Remote Sensing,1983,4: 273. [8] Blackburn G A. Remote Sensing of Environment,1998,66: 273. [9] HUANG Mu-yi,WANG Ji-hua,HUANG Wen-jiang,et al(黄木易,王纪华,黄文江,等). Transactions of the Chinese Society of Agricultural Engineering(农业工程学报),2003,19(6): 154. [10] Blackburn G A. Remote Sensing of Environment,1999,70: 224. [11] WANG Xiu-zhen,HUANG Jing-feng,LI Yun-mei,et al(王秀珍,黄敬峰,李云梅,等). Journal of Remote Sensing(遥感学报),2004,8(1): 81. [12] PU Rui-liang,GONG Peng(浦瑞良,宫 鹏). Hyperspectral Remote Sensing and Its Applications(高光谱遥感及其应用). Beijing: Higher Education Press(北京: 高等教育出版社),2000. [13] TONG Qing-xi,ZHANG Bing,ZHANG Lan-fen(童庆禧,张 兵,郑兰芳). Hyperspectral Remote Sensing(高光谱遥感). Beijing: Higher Education Press(北京: 高等教育出版社),2006. [14] NIU Zheng,CHEN Yong-hua,SUI Hong-zhi,et al(牛 铮,陈永华,隋洪智,等). Journal of Remote Sensing,2000,4(2): 125. [15] Duli Zhao,K Raja Reddya,Vijaya Gopal Kakania,et al. European Journal of Agronomy,2005,22: 391. [16] SUN Xue-mei,ZHOU Qi-fa,HE Qiu-xia. Acta Agronomica Sinica,2005,31(7): 844. [17] Pen-Uelas J,Baret V,Vilella I. Semi-Empirical Indices to Access Carotenoids & Chlorophll a Ratio from Leaf Spectral Reflectance. Photosyntheica,1995,31: 221. [18] Strachan I B,Pattey E,Boisvert J B. Remote Sens Environ,2002,80: 213. [19] Gausman H W,Allen W A,Cardenas R,et al. Appl. Optics,1970,9: 545. [20] HUANG Wen-jiang,HUANG Mu-yi,LIU Liang-yun,et al. Transactions of the Chinese Society of Agricultural Engineering,2005,21(4): 97.