Literature DB >> 21428085

[Study on relationship between new characteristic parameters of spectral curve and chlorophyll content for rice].

Xin-Gang Xu1, Chun-Jiang Zhao, Ji-Hua Wang, Wen-Jiang Huang, Cun-Jun Li, Huan-Jun Liu.   

Abstract

It is of significance to monitor chlorophyll content with hyperspectral data for crop growth diagnosis in field. In the study, with the point of view that spectral curve shapes display "tall, low, fat and thin" morphological changes, we proposed some new characteristic parameters from spectral curve such as the ascensive or degressive velocities of segments composing peak or valley shapes in spectral curve, and angles formed by the lines fitting the segments of two sides of peak or valley curves, and used the normalized spectra to analyze correlation between these parameters and rice chlorophyll content. The result shows that (1) there is a good negative correlation between rice chlorophyll content and normalized reflectance spectra from 520-740 nm; (2) characteristic parameters from green peak region of spectral curve display better correlation with rice chlorophyll content, which makes it possible to utilize the parameters to monitor crop chlorophyll content, and will provide new ideas and methods for carrying out crop growth diagnosis with hyperspectral data.

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Year:  2011        PMID: 21428085

Source DB:  PubMed          Journal:  Guang Pu Xue Yu Guang Pu Fen Xi        ISSN: 1000-0593            Impact factor:   0.589


  2 in total

1.  Research on the relationship between the fractional coverage of the submerged plant Vallisneria spiralis and observed spectral parameters.

Authors:  Qian Cheng; Kunqi Wu; Yan Bai; Yueming Hu
Journal:  Environ Monit Assess       Date:  2012-10-24       Impact factor: 2.513

2.  Monitoring ratio of carbon to nitrogen (C/N) in wheat and barley leaves by using spectral slope features with branch-and-bound algorithm.

Authors:  Xingang Xu; Guijun Yang; Xiaodong Yang; Zhenhai Li; Haikuan Feng; Bo Xu; Xiaoqing Zhao
Journal:  Sci Rep       Date:  2018-07-03       Impact factor: 4.379

  2 in total

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