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利用不同光谱带宽下的归一化植被指数估算水稻叶面积指数

[Estimation of rice LAI by using NDVI at different spectral bandwidths].

作者信息

Wang Fu-min, Huang Jing-feng, Tang Yan-lin, Wang Xiu-zhen

机构信息

Institute of Agriculture Remote Sensing & Information System Application, Zhejiang University, Hangzhou 310029, China.

出版信息

Ying Yong Sheng Tai Xue Bao. 2007 Nov;18(11):2444-50.

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.

摘要

通过田间测量获取了水稻不同发育阶段的冠层高光谱反射率数据,并在TM红光和近红外(NIR)光谱扩展带宽下计算了相应的归一化植被指数(NDVI)以及NDVI与叶面积指数(LAI)的相关系数。根据最佳拟合R2随光谱带宽的变化特征,确定了最优带宽。结果表明,不同光谱带宽下LAI与NDVI的相关系数以及最佳拟合函数的最大R2具有相同的变化趋势,即在带宽小于60 nm时,随带宽增加而减小。然而,当带宽超过60 nm时,由于近红外的影响,最大R2有所波动。R2随带宽变化的分析表明,15 nm是利用NDVI估算水稻LAI的最优带宽。

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