Estimating Leaf Chlorophyll Content Using Red Edge Parameters
Estimating Leaf Chlorophyll Content Using Red Edge Parameters
复制标题
使用红边参数估计叶片叶绿素含量
DOI：
10.1016/s1002-0160(10)60053-7
复制
发表时间：
2010-10-01
期刊：
影响因子：
5.7
通讯作者：
Hannaway, D.
中科院分区：
文献类型：
--
作者：
Ju Chang-Hua;Tian Yong-Chao;Hannaway, D.
高光谱遥感技术使非破坏性地监测叶片叶绿素含量成为可能。研究了油菜红边区一阶导数反射光谱的几何特征。和小麦（Triticum aestivum L.）作物小于718 nm的红边面积占整个红边面积的比例与LCC呈负相关。这一发现允许建设一个新的红边参数，定义为红边对称性（RES）。与常用的红边参数（红边位置、红边幅度和红边面积）相比，RES对LCC有更好的预测作用。此外，使用675和755 nm处的红边边界波段的反射率（R-675和R-755）和718 nm处的红边中心波长的反射率（R-718），利用方程RES =（R-718 - R-675）/（R-755 - R-675），容易地计算RES。此外，RES有效地模拟了宽波段的机载高光谱传感器AVIRIS和卫星高光谱传感器AVIRIS。模拟的RES和LCC之间的密切关系表明，由AVIRIS和AVIRIS数据模拟的RES估算LCC具有很高的可行性。这使得RES很容易适用于来自AVIRIS和AVIRIS源的普通机载和卫星高光谱数据，以及地基光谱反射数据。
Hyperspectral remote sensing makes it possible to non-destructively monitor leaf chlorophyll content (LCC). This study characterized the geometric patterns of the first derivative reflectance spectra in the red edge region of rapeseed (Brassica napus L.) and wheat (Triticum aestivum L.) crops. The ratio of the red edge area less than 718 nm to the entire red edge area was negatively correlated with LCC. This finding allowed the construction of a new red edge parameter, defined as red edge symmetry (RES). Compared to the commonly used red edge parameters (red edge position, red edge amplitude, and red edge area), RES was a better predictor of LCC. Furthermore, RES was easily calculated using the reflectance of red edge boundary wavebands at 675 and 755 nm (R-675 and R-755) and reflectance of red edge center wavelength at 718 nm (R-718), with the equation RES = (R-718 - R-675)/(R-755 - R-675). In addition, RES was simulated effectively with wide wavebands from the airborne hyperspectral sensor AVIRIS and satellite hyperspectral sensor Hyperion. The close relationships between the simulated RES and LCC indicated a high feasibility of estimating LCC with simulated RES from AVIRIS and Hyperion data. This made RES readily applicable to common airborne and satellite hyperspectral data derived from AVIRIS and Hyperion sources, as well as ground-based spectral reflectance data.