Paper
16 June 2003 Relationship between chlorophyll, caroteniod content of rice leaves, and hyperspectral variables
Qian Cheng, Jingfeng Huang, X. Z. Wang, Renchao Wang
Author Affiliations +
Proceedings Volume 4897, Multispectral and Hyperspectral Remote Sensing Instruments and Applications; (2003) https://doi.org/10.1117/12.467363
Event: Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2002, Hangzhou, China
Abstract
Some correlation analysis between hyperspectral data and chlorophyll-a, chlorophyll-b and carotenoid contents of leaves in different sites of rice were reported in this paper. Hyperspectral data of late rice in whole growing stage between 1999 and 2000 have been measured by using the ASD FieldSpec UV/VNIR (350-1050nm) Spectroradiometer with resolution of 3nm. The pigment contents of rice leaves, including chlorophyll-a, chlorophyll-b and carotenoid content in different nitrogen levels, have been measured. There are strong correlation among the pigments. The correlation coefficient between chlorophyll and carotenoid reaches the extremely significance level. The chlorophyll-a content of upper leaf was well correlated with the spectral variables. The potential of hyperspectral data for estimating chlorophyll-a of upper leaves was evaluated using univariate correlation and multivariate regression analysis methods with different types of predictors. Results show that the best prediction of chlorophyll-a of upper leaves was obtained with some hyperspectral variables such as SDr, SDb and their integration.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Qian Cheng, Jingfeng Huang, X. Z. Wang, and Renchao Wang "Relationship between chlorophyll, caroteniod content of rice leaves, and hyperspectral variables", Proc. SPIE 4897, Multispectral and Hyperspectral Remote Sensing Instruments and Applications, (16 June 2003); https://doi.org/10.1117/12.467363
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Cited by 2 scholarly publications.
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KEYWORDS
Reflectivity

Nitrogen

Remote sensing

Biological research

Vegetation

Roentgenium

Agriculture

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