In situ hyperspectral data analysis for pigment content estimation of rice leaves

作     者：程乾 黄敬峰 王秀珍 王人潮 

作者机构：InstituteofAgriculturalRemoteSensing＆InformationApplicationZhejiangUniversityHangzhou310029China 

出 版 物：《Journal of Zhejiang University Science》 (浙江大学学报（自然科学英文版）)

年 卷 期：2003年第4卷第6期

页      面：727-733页

核心收录：

学科分类：0710[理学-生物学] 0810[工学-信息与通信工程] 071001[理学-植物学] 07[理学] 09[农学] 0805[工学-材料科学与工程（可授工学、理学学位）] 0901[农学-作物学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：National Natural Science Foundation of China NSFC 

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.