Pedosphere 20(5): 633--644, 2010
ISSN 1002-0160/CN 32-1315/P
©2010 Soil Science Society of China
Published by Elsevier B.V. and Science Press
Estimating leaf chlorophyll content using red edge parameters
JU Chang-Hua1, TIAN Yong-Chao1, YAO Xia1, CAO Wei-Xing1, ZHU Yan1 and D. HANNAWAY2
1 Jiangsu Key Laboratory for Information Agriculture, Key Laboratory of Crop Growth Regulation of Ministry of Agriculture, Nanjing Agricultural University, Nanjing 210095 (China)
2 Department of Crop and Soil Science, College of Agricultural Sciences, Oregon State University, Corvallis, Oregon 97331-3002 (USA)
      Hyperspectral remote sensing makes it possible to non-destructively monitor leaf chlorophyll content (LCC). This study characterized the geometric patterns of the first derivative reflectance spectra in the red edge region of rapeseed (Brassica napus L.) and wheat (Triticum aestivum L.) crops. The ratio of the red edge area less than 718 nm to the entire red edge area was negatively correlated with LCC. This finding allowed the construction of a new red edge parameter, defined as red edge symmetry (RES). Compared to the commonly used red edge parameters (red edge position, red edge amplitude, and red edge area), RES was a better predictor of LCC. Furthermore, RES was easily calculated using the reflectance of red edge boundary wavebands at 675 and 755 nm (R675 and R755) and reflectance of red edge center wavelength at 718 nm (R718), with the equation RES = (R718-R675)/(R755-R675). In addition, RES was simulated effectively with wide wavebands from the airborne hyperspectral sensor AVIRIS and satellite hyperspectral sensor Hyperion. The close relationships between the simulated RES and LCC indicated a high feasibility of estimating LCC with simulated RES from AVIRIS and Hyperion data. This made RES readily applicable to common airborne and satellite hyperspectral data derived from AVIRIS and Hyperion sources, as well as ground-based spectral reflectance data.
Key Words:  hyperspectra, rapeseed, red edge symmetry, wheat
Citation: Ju, C. H., Tian, Y. C., Yao, X., Cao, W. X., Zhu, Y. and Hannaway, D. 2010. Estimating leaf chlorophyll content using red edge parameters. Pedosphere. 20(5): 633-644.
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