基于反射率及导数的草原植被冠层光合有效吸收分量高光谱反演

利用ASD便携式野外光谱仪和光量子仪实测了6种草原植被类型关键生育期的反射光谱数据和光合有效辐射值,利用可见光波段处反射率及近红外波段区处一阶导数分别与fPAR建立逐步回归方程,同时,将各波段反射率与各波段导数光谱建立逐步回归方程.结果表明:典型草原光合有效辐射分量与可见光反射率相关性好于近红外波段反射率,其中在405和470 nm波段相关性最好;fPAR与一阶导数相关关系在855和965 nm波段处较强.fPAR与405和470 nm反射率以及965 nm一阶导数的多波段逐步回归分析结果取得了较单波段和NDVI最优的估算效果,R2达0.939.利用高光谱数据进行fPAR估算时,需要综合考虑可

Research on fPAR Estimation of Grassland with Hyperspectral Data Based on Reflectivity and Derivative

Hyperspectral reflectance and fraction of absorbed photosynthetically active radiation (fPAR) of six grassland types were measured by ASD portable spectrometer and light quantum respectively in key growth stages. Relativity between hyperspectral reflectance and first-order derivative were analyzed in order to estimate fPAR and establish the best estimation model. Results showed that the maximum correlation coefficients between reflection values and fPAR occurred at 405 nm and 470 nm wavelength, respectively. Correlation between the first derivative and fPAR was better at 855nm and 965nm, respectively. Stepwise regression equation between fPAR and reflectivity values (in 405 nm, 470 nm wavelength) as well as first-order derivative in 965 nm wavelength was established. These results showed that stepwise regression of multiband, which R² was 0.939, obtained more optimal estimation effect than that of single band and NDVI. High spectral resolution data could distinguish sensitive bands for vegetation spectrum, which was essential to select appropriate band and first-order derivative for calculating fPAR. In addition, the spectral band of strong water absorption was a potential to improve estimation accuracy of fPAR.