Improvement of Leaf Chlorophyll Content Estimation Using Spectral Indices From Nonpolarized Reflectance Factor in the Laboratory and Field
Improvement of Leaf Chlorophyll Content Estimation Using Spectral Indices From Nonpolarized Reflectance Factor in the Laboratory and Field
复制标题
在实验室和现场使用非偏振反射系数光谱指数改进叶片叶绿素含量估算
DOI：
10.1109/jstars.2020.3004976
复制
发表时间：
2020
影响因子：
5.5
通讯作者：
Omasa Kenji
中科院分区：
文献类型：
--
作者：
Li Yuefeng;Sun Zhongqiu;Lu Shan;Omasa Kenji
从叶片反射的光的光学特性可以用强度和偏振来描述，然而，在植物叶片生化参数的估算中，大多数研究集中在强度上。在这项研究中，多角度光度和偏振（最后一个单词“polar”不完整，可能影响准确理解）
Optical properties of light reflected from leaves can be described by both intensity and polarization, however, most studies focused on the intensity in the estimation of plant leaf biochemical parameters. In this study, multiangular photometric and polarimetric measurements of leaves from three different plant species are first performed in laboratory to estimate leaf chlorophyll content (LCC) using spectral indices at different viewing zenith angles. Based on the Stokes parameters, the spectral indices in terms of the I parameter reflectance factors measured in laboratory (IpRFlab if polarizer extinction is considered) can be used to estimate LCC, which has a similar accuracy as bidirectional reflectance factor (BRF); and the nonpolarized spectral proportion [the reduction of bidirectional polarized reflectance factor (BPRF) from IpRF (IpRF-BPRF)] improves the ability of the spectral indices, including single wavelength, simple ratio, simple difference and normalized difference indices, along with some other indices to estimate LCC using multiangular measurements. Subsequently, the field photometric and polarimetric measurements of leaves further confirm that the nonpolarized proportion improves the estimation of LCC for some spectral indices. These results not only provide evidence that the IpRFlab and IpRFfield taken from polarimetric measurements can be considered as the proxy of photometric measurements (BRF and HDRF) in both laboratory and field but also open the possibility to improve the accuracy of LCC estimation using a nonpolarized spectral reflectance factor from multiangular polarimetric measurements. These findings indicate that polarized remote sensing may play a significant role in vegetation studies.
登录
查看更多内容
针表面特性对针吸收光谱估计的影响分析：针叶树针和芽样品的案例研究
影响因子：
5
作者：
Yang B;Knyazikhin Y;Lin Y;Yan K;Chen C;Park T;Choi S;Mõttus M;Rautiainen M;Myneni RB;Yan L
通讯作者：
Yan L
影响因子：
9.4
作者：
Lee, TD;Tjoelker, MG;Reich, PB
通讯作者：
Reich, PB
DOI：
10.1016/j.jqsrt.2018.09.033
发表时间：
2018-12
影响因子：
2.3
作者：
A. Kallel
通讯作者：
A. Kallel
DOI：
10.1109/36.763292
发表时间：
1999-05
期刊：
IEEE Trans. Geosci. Remote. Sens.
影响因子：
--
作者：
F. Nadal;F. Bréon
通讯作者：
F. Nadal;F. Bréon
DOI：
10.1177/030913338000400301
发表时间：
1980-09
期刊：
Progress in Physical Geography
影响因子：
--
作者：
P. Curran
通讯作者：
P. Curran