title: [Temporal variation analysis for spectral reflectance of maize leaves using a fitting method].
abstract: The present study is to investigate the temporal variation patterns through the dataset of spectral reflectance of maize leaf using a fitting method. In the field experiment, 1 261 pieces of spectral reflectance of maize leaves at different leaf positions were measured every day during its life cycle. After signal/noise analysis, the visible and near infrared (VNIR) band (400-960 nm) was selected in this study. The spectral reflectance was fitted using a spectral scatter diagram (SSD) method. Seven fitting coefficients were employed to denote the temporal variation patterns of maize leaf, which can also be fitted by bi-variate quadratic functions. The comparison of the fitted results with the original measurement data shows that the fitting results are reasonably good, where for 98.7% leaves r is larger than 0.99, and for 80.9% leaves RMSE is less than 0.001 5. All the fitted spectral reflectance is compared with the original measurement data, where r is 0.997 8, and RMSE is 0.0105. The results show that this method is particularly suitable for presenting the temporal variation patterns of the spectral reflectance of maize leaves.
authors.affiliation: School of Geography, Beijing Normal University, Beijing 100875, China. quying@mail.bnu.edu.cn
authors.forename: Ying
authors.initials: Y
authors.lastname: Qu
authors.forename: Su-Hong
authors.initials: SH
authors.lastname: Liu
authors.forename: Xiao-Wen
authors.initials: XW
authors.lastname: Li
mesh_terms: D002734:Chlorophyll / Q000032:analysis; D018515:Plant Leaves / Q000737:chemistry*; D058998:Remote Sensing Technology; D062211:Spatio-Temporal Analysis; D013057:Spectrum Analysis / Q000379:methods*; D003313:Zea mays / Q000737:chemistry*
chemical_list: D002734:Chlorophyll