Comparing vegetation indices for remote chlorophyll measurement of white poplar and Chinese elm leaves with different adaxial and abaxial surfaces.
Comparing vegetation indices for remote chlorophyll measurement of white poplar and Chinese elm leaves with different adaxial and abaxial surfaces.
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DOI：
10.1093/jxb/erv270
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发表时间：
2015-09
影响因子：
6.9
通讯作者：
Omasa K
中科院分区：
文献类型：
--
作者：
Lu S;Lu X;Zhao W;Liu Y;Wang Z;Omasa K
本文提出了一种对近轴叶和远轴叶表面不敏感的植被指数，以准确估算叶片叶绿素含量。叶片叶绿素含量（LCC）的快速无损测定对于研究植物生长和抗逆性相关表型具有重要意义。以具有浓密管状毛的白色白杨（Populus alba）和榆树（Ulmus pumila var.）为研究对象，研究了不同植被指数（维斯）与LCC的数量关系。pendula），除了远轴面颜色较浅外，没有表现出明显的表面差异。一些出版的和新开发的维斯进行了测试，将它们与LCC。结果表明，大多数已发表的维斯与LCC的一个表面数据集有很强的关系，但没有显示出明确的关系与LCC时，近轴和远轴表面反射率数据。在所测试的反射率指数中，修正的Datt指数（R 719−R 726）/（R 719−R 743）表现最好，并被提议作为遥感估计具有不同叶表面结构的植物中叶绿素含量的新指数。该模型解释了92%的LCC变异，预测结果的均方根误差为5.23 μg/cm ~ 2。这个新的指数是不敏感的近轴和远轴叶表面结构的影响，是密切相关的叶绿素含量引起的反射率的变化。
A new vegetation index insensitive to adaxial and abaxial leaf surfaces was proposed in this paper to accurately estimate leaf chlorophyll content. Quick non-destructive assessment of leaf chlorophyll content (LCC) is important for studying phenotypes related to plant growth and stress resistance. This study was undertaken to investigate the quantitative relationship between LCC and different vegetation indices (VIs) on both adaxial and abaxial surfaces of white poplar (Populus alba), which has dense tubular hairs on its abaxial surface, and Chinese elm (Ulmus pumila var. pendula), which does not show obvious superficial differences except for lighter colour on the abaxial surface. Some published and newly developed VIs were tested to relate them to LCC. The results showed that most of the published VIs had strong relationships with LCC on the one-surface dataset, but did not show a clear relationship with LCC when both adaxial and abaxial surface reflectance data were included. Among the reflectance indices tested, the modified Datt index, (R 719−R 726)/(R 719−R 743), performed best and is proposed as a new index for remote estimation of chlorophyll content in plants with varying leaf surface structures. It explained 92% of LCC variation in this research, and the root mean square error of the LCC prediction was 5.23 μg/cm2. This new index is insensitive to the effects of adaxial and abaxial leaf surface structures and is strongly related to the variation in reflectance caused by chlorophyll content.