高光谱植被指数与水稻叶面积指数的定量关系  

Quantitative relationships between hyper-spectral vegetation indices and leaf area index of rice

作　　者：田永超[1] 杨杰[1] 姚霞[1] 朱艳[1] 曹卫星[1] 

机构地区：[1]南京农业大学江苏省信息农业高技术研究重点实验室,南京210095

出　　处：《应用生态学报》2009年第7期1685-1690,共6页Chinese Journal of Applied Ecology

基　　金：国家自然科学基金项目(30571092;30671215);国家高技术研究发展计划项目(2006AA10Z202;2006AA10Z271);国家科技支撑计划项目(2006BAD10A01);高校博士点基金项目(20070307035)资助

摘　　要：基于不同水稻品种、施氮水平和不同生育期下的大田试验,确立了水稻叶面积指数(LAI)与冠层光谱特征参数的定量关系.结果表明:水稻叶面积指数与部分高光谱植被指数存在良好的相关性,其中原始光谱组成的2波段差值指数(DI)形式相关性最好,其次为比值(RI)和归一化(NI)植被指数.相关最好的原始光谱植被指数是由近红外波段组成的差值指数DI(854,760),相关最好的一阶导数光谱植被指数是红光和近红外光组成的导数差值指数DI(D676,D778),但总体上导数光谱指数不如原始光谱指数与LAI关系密切.独立试验数据检验结果表明,以差值指数DI(854,760)为变量建立的水稻LAI监测模型具有较好的表现,可用于水稻LAI的估测.Based on field experiments with different rice varieties under different nitrogen application levels, the quantitative relationships of rice leaf area index （LAI） with canopy hyper-spectral parameters at different growth stages were analyzed. Rice LAI had good relationships with several hyper-spectral vegetation indices, the correlation coefficient being the highest with DI （difference index）, followed by with RI （ratio index）, and NI （normalized index）, based on the spectral reflectance or the first derivative spectra. The two best spectral indices for estimating LAI were the difference index DI （854,760） （based on two spectral bands of 850 nm and 760 nm） and the difference index DI （ D676,D778） （based on two first derivative bands of 676 nm and 778 nm）. In general, the hyper-spectral vegetation indices based on spectral reflectance performed better than the spectral indices based on the first derivative spectra. The tests with independent dataset suggested that the rice LAI monitoring models with difference index DI （854,760） as the variable could give an accurate LAI estimation, being available for estimation of rice LAI.

关 键 词：水稻 叶面积指数 光谱指数 一阶导数光谱指数 

分 类 号：S511[农业科学—作物学]