高光谱数据与水稻农学参数之间的相关分析

Relationships between rice agricultural parameter and hyperspectra data.

通过田间小区试验 ,获取水稻整个生育期内不同氮素处理的叶面积指数 (L AI)、叶片叶绿素含量 (CHL.C)、叶绿素密度 (CHL.D)与高光谱分辨率遥感数据。分析其变化过程 ,并利用微分技术处理水稻群体反射光谱以减少土壤等低频背景光谱噪音的影响。通过单相关分析和逐步回归方法研究水稻LAI、CHL.C、CHL .D分别与光谱反射率、反射率的一阶微分光谱的相关关系。结果表明 ,微分技术能够改善光谱数据与 LAI、CHL .C的相关性 ,而与鲜叶 CHL .D的相关性较低。

The paper studied the variation of leaf area index (LAI),leaf chlorophyll content (CHL.C),fresh leaf chlorophyll density (CHL.D) and hyperspectral data in growing period on rice field plots of different nitrogen levels.The correlations between the hyperspectral data and above parameters of rice were analyzed. Spectral derivative technique was used to suppress the effects of low frequency background spectral noises (such as soil and so on).The derivatives of reflectance spectra can enhance the correlation and improve precision in predicting LAI, CHL.C, CHL.D.Results show that the relationship of LAI ,CHL.C, CHL.D with the derivatives of reflectance spectra more markedly correlate of with reflectance spectra at some wavelength.