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作 者:鞠昌华[1] 田永超[1] 朱艳[1] 姚霞[1] 曹卫星[1]
机构地区:[1]南京农业大学农学院/江苏省信息农业高技术研究重点实验室,江苏南京210095
出 处:《麦类作物学报》2008年第6期1068-1074,共7页Journal of Triticeae Crops
基 金:国家自然科学基金项目(30671215);江苏省自然科学基金项目(BK2005212)
摘 要:为了给田间冠层水平叶绿素含量高光谱反演研究提供参考,研究了小麦单层及叠加叶片不同波长光谱反射率及几种常用植被指数对叶绿素含量的响应特征。结果表明,可见光波段的绿光到红光波段范围内叶片光谱反射率与叶绿素含量存在良好的相关关系,其中在绿光反射峰550 nm附近和红边区域的705 nm附近反射率都可以用来预测叶绿素含量。红谷吸收表现为随叶绿素含量提高而蓝移的特征。常用植被指数NDVI在本研究中对小麦叶片的叶绿素含量的监测效果并不理想。SR705虽然与单层叶片叶绿素含量相关性较好,但是对叠加多层叶片的叶绿素含量反演效果不好。光谱参数中TCARI对单层叶片和不同叠加层数的叶片均有最好的预测能力,因此可以利用TCARI监测小麦叶绿素含量,进而用于评价其光合特性。The study on relationship between stacked wheat leaves chlorophyll concentration and hyperspectral reflectance is an important technical approach to develop spectral inverse array of leaf chlorophyll concentration from labrotry leaf level to field canopy level. This paper studied the response characteristics of 350-2 500 nm reflectance spectra and 4 common vegetation indices on foliar chlorophyll concentration based on single layer and stacked multi-layers wheat leaves. The results showed that leaf spectral reflectance at the green reflecting peak region around 550 nm and red region around 705 nm had the best relation with chlorophyll concentration. Red position showed blue-shift with the increase of chlorophyll concentration. The effect of commonly used vegetation index NDVI was not ideal in monitoring leaf chlorophyll concentration in this study. SR705 could not estimate leaf chlorophyll concentration when leaves were stacked in different layers, although which closely related to single leaf chlorophyll concentration. Among four vegetation indices used in this study, TCARI had the best prediction power of chlorophyll concentration to both single layer and multi-layers wheat leaves, and it could be further used to estimate photosynthetic charactristic.
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