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作 者:张思楠[1,2] 王权[1,3] 靳佳[1,2] 徐璐[1,2] 管海英[1,2]
机构地区:[1]中国科学院新疆生态与地理研究所,新疆乌鲁木齐830011 [2]中国科学院大学,北京100049 [3]静冈大学
出 处:《干旱区研究》2016年第5期1088-1097,共10页Arid Zone Research
基 金:国家自然科学基金项目(41371364);国家重大科学研究计划课题(2012CB956204);中国科学院项目(1074041001)共同资助
摘 要:对叶片叶绿素含量的动态监测,是理解荒漠生态系统特定的碳循环过程及其生态功能的一个重要前提。快速无损地获取叶片中的叶绿素含量信息是掌握叶绿素动态的先决条件,也是当前植被遥感研究的一个重要课题。通过收集86种已发表的叶绿素光谱指数,以荒漠生态系统重要建群种多枝柽柳(Tamarix ramosissima)为研究对象,对这些指数在具有特殊旱生形态的柽柳同化枝的适用性进行了评价,从中遴选出了3个结构简单且表现较好的光谱指数:R_(860)/(R_(550)×R_(708))、1/R_(700)、R_(550),其与实测叶绿素含量建立的估算模型决定系数(R^2)分别为0.49、0.47和0.40,估算值与实测值的均方根误差(RMSE)分别为2.40、2.45、2.59μg·cm^(-2),自举法(bootstrapping)检验误差RMSE分别为2.47、2.53、2.67μg·cm^(-2),在一定精度上可以满足动态把握干旱区柽柳植被叶绿素的要求,但在将来研究中必须注重开发新的适用于同化枝的光谱指数。The knowledge of dynamic change of leaf chlorophyll content is an important prerequisite for better understanding the featured carbon cycle as well as other ecological functions in desert ecosystems. Non-destructive rapid estimation of chlorophyll content is a prerequisite to dynamically monitor chlorophyll content, and it is an important research issue of vegetation remote sensing. In this study, a total of 86 spectral indices published previously were collected for assessing their capabilities of estimating chlorophyll content of assimilating shoots of Tamarix ramosissima, a constructive species in desert ecosystems. Three indices with simple structure and good performance, i. e. R860/(R550×R708),1/R700 and R550,were selected, their determination coefficients ( R2 ) were 0.49,0.47 and 0.40, and their root-mean-square errors (RMSE) were 2.40,2.45 and 2.59 μg · cm^- 2, respectively. The validated errors of bootstrapping of the three indices were 2.47,2.53 and 2.67μg · cm^- 2 respectively. Our results indicated that these identified indices may be used for monitoring the dynamic change of chlorophyll content of T. ramosissima in arid land to a certain extent, it remains an important challenge to develop new better hyperspectral indices for estimating chlorophyll content of assimilating shoots.
关 键 词:植被遥感 光谱指数 叶绿素含量 多枝柽柳(Tamarix ramosissima)
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