title: [Estimation of rice LAI by using NDVI at different spectral bandwidths].
abstract: The canopy hyperspectral reflectance data of rice at its different development stages were collected from field measurement, and the corresponding NDVIs as well as the correlation coefficients of NDVIs and LAI were computed at extending bandwidth of TM red and near-infrared (NIR) spectra. According to the variation characteristics of best fitted R2 with spectral bandwidth, the optimal bandwidth was determined. The results showed that the correlation coefficients of LAI and ND-VI and the maximum R2 of the best fitted functions at different spectral bandwidths had the same variation trend, i.e., decreased with increasing bandwidth when the bandwidth was less than 60 nm. However, when the bandwidth was beyond 60 nm, the maximum R2 somewhat fluctuated due to the effect of NIR. The analysis of R2 variation with bandwidth indicated that 15 nm was the optimal bandwidth for the estimation of rice LAI by using NDVI.
authors.affiliation: Institute of Agriculture Remote Sensing & Information System Application, Zhejiang University, Hangzhou 310029, China. wfmwfmwfmwfm@163.com
authors.forename: Fu-min
authors.initials: FM
authors.lastname: Wang
authors.forename: Jing-feng
authors.initials: JF
authors.lastname: Huang
authors.forename: Yan-lin
authors.initials: YL
authors.lastname: Tang
authors.forename: Xiu-zhen
authors.initials: XZ
authors.lastname: Wang
mesh_terms: D004784:Environmental Monitoring / Q000379:methods; D012275:Oryza / Q000254:growth & development* / Q000378:metabolism; D010788:Photosynthesis / Q000502:physiology*; D018515:Plant Leaves / Q000254:growth & development* / Q000378:metabolism; D013057:Spectrum Analysis / Q000295:instrumentation / Q000379:methods*