In situ hyperspectral data analysis for pigment content estimation of rice leaves
In situ hyperspectral data analysis for pigment content estimation of rice leaves作者机构：Institute of Agricultural Remote Sensing & Information Application Institute of Agricultural Remote Sensing & Information Application Zhejiang University China Hangzhou 310029
出 版 物：《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》 (浙江大学学报A辑(应用物理与工程)(英文版))
年 卷 期：2003年第4卷第6期
页 面：106-112页
核心收录：
基 金：Project (No .40 1710 65)supportedbytheNationalNaturalScienceFoundationofChina
主 题：Pigment contents Hyperspectral reflectance Rice leaves Correlation
摘 要：Analyses of the correlation between hyperspectral reflectance and pigment content including chlorophyll a, chlorophyll b and carotenoid of leaves in different sites of rice were reported in this paper. The hyperspectral reflectance of late rice during the whole growing season was measured using a Spectroradiometer with spectral range of 350-1050 nm and resolution of 3 nm. The chlorophyll a, chlorophyll b and carotenoid contents in rice leaves in rice fields to which different levels of nitrogen were applied were measured. The chlorophyll a content of upper leaves was well correlated with the spectral variables. However, the correlation between both chlorophyll b and caroteniod and the spectral variables was far from that of chlorophyll a. The potential of hyperspectral reflectance measurement for estimating chlorophyll a of upper leaves was evaluated using univariate correlation and multivariate regression analysis methods with different types of predictors. This study showed that the most suitable estimated model of chlorophyll a of upper leaves was obtained by using some hyperspectral variables such as SD r, SD b and their integration.
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