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A modified chlorophyll absorption continuum index for chlorophyll estimation

机译:改良的叶绿素吸收连续指数用于叶绿素估计

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摘要

There is increasing interest in using hyperspectral data for quantitative characterization of vegetation in spatial and temporal scopes. Many spectral indices are being developed to improve vegetation sensitivity by minimizing the background influence. The chlorophyll absorption continuum index (CACI) is such a measure to calculate the spectral continuum on which the analyses are based on the area of the troughs spanned by the spectral continuum. However, different values of CACI were obtained in this method because different positions of continuums were determined by different users. Furthermore, the sensitivity of CACI to agronomic parameters such as green leaf chlorophyll density (GLCD) has been reduced because the fixed positions of continuums are determined when the red edge shifted with the change in GLCD. A modified chlorophyll absorption continuum index (MCACI) is presented in this article. The red edge inflection point (REIP) replaces the maximum reflectance point (MRP) in near-infrared (NIR) shoulder on the CACI continuum. This MCACI has been proved to increase the sensitivity and predictive power of GLCD.
机译:人们越来越关注使用高光谱数据对空间和时间范围内的植被进行定量表征。正在开发许多光谱指数以通过最小化背景影响来提高植被敏感性。叶绿素吸收连续体指数(CACI)是一种计算光谱连续体的方法,其分析基于光谱连续体所跨越的波谷面积进行。但是,由于不同用户确定连续体的不同位置,因此该方法获得的CACI值不同。此外,由于当红色边缘随GLCD的变化而移动时,连续体的固定位置已确定,因此CACI对农艺参数(如绿叶叶绿素密度(GLCD))的敏感性已降低。本文介绍了一种改良的叶绿素吸收连续指数(MCACI)。红色边缘拐点(REIP)替换了CACI连续体上近红外(NIR)肩上的最大反射点(MRP)。该MCACI已被证明可以提高GLCD的灵敏度和预测能力。

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