A robust vegetation index for remotely assessing chlorophyll content of dorsiventral leaves across several species in different seasons-Reference-Cited by-同舟云学术

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A robust vegetation index for remotely assessing chlorophyll content of dorsiventral leaves across several species in different seasons

Published:2018-02-14 Issue:1 Volume:14 Page:
ISSN:1746-4811
Container-title:Plant Methods
language:en
Short-container-title:Plant Methods

Author:

Lu Shan^ORCID,Lu Fan,You Wenqiang,Wang Zheyi,Liu Yu,Omasa Kenji

Funder

National Key Research and Development Project

Jilin Provincial Science & Technology Development Project

National Natural Science Foundation of China

Japan Society for the Promotion of Science

Publisher

Springer Science and Business Media LLC

Subject

Plant Science,Genetics,Biotechnology

Link

http://link.springer.com/content/pdf/10.1186/s13007-018-0281-z.pdf

Reference51 articles.

1. Gitelson AA, Gritz Y, Merzlyak MN. Relationships between leaf chlorophyll content and spectral reflectance and algorithms for non-destructive chlorophyll assessment in higher plant leaves. J Plant Physiol. 2003;160:271–82.

2. Zhang J, Huang W, Zhou Q. Reflectance variation within the in-chlorophyll centre waveband for robust retrieval of leaf chlorophyll content. PLoS ONE. 2014;9:e110812.

3. Hendry GAF, Brown SB. Tansley Review No. 11. The degradation of chlorophyll-A biological enigma. New Phytol. 1987;107:255–302.

4. Merzlyak MN, Gitelson A. Why and what for the leaves are yellow in autumn? On the interpretation of optical spectra of senescing leaves (Acer platanoides L.). J Plant Physiol. 1995;145:315–20.

5. Peñuelas J, Filella I. Visible and near-infrared reflectance techniques for diagnosing plant physiological status. Trends Plant Sci. 1998;3:151–6.

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