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Comparing vegetation indices for remote chlorophyll measurement of white poplar and Chinese elm leaves with different adaxial and abaxial surfaces.

Lu S, Lu X, Zhao W, Liu Y, Wang Z, Omasa K - J. Exp. Bot. (2015)

Bottom Line: The results showed that most of the published VIs had strong relationships with LCC on the one-surface dataset, but did not show a clear relationship with LCC when both adaxial and abaxial surface reflectance data were included.It explained 92% of LCC variation in this research, and the root mean square error of the LCC prediction was 5.23 μg/cm(2).This new index is insensitive to the effects of adaxial and abaxial leaf surface structures and is strongly related to the variation in reflectance caused by chlorophyll content.

View Article: PubMed Central - PubMed

Affiliation: School of Geographical Sciences, Northeast Normal University, 5268 Renmin Street, Changchun 130024, China.

No MeSH data available.


Related in: MedlinePlus

Optical microscopic reflectance images of leaf surfaces of white poplar and Chinese elm: (A) adaxial and (B) abaxial surfaces of white poplar; (C) adaxial and (D) abaxial surfaces of Chinese elm. Bar, 200 μm.
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Figure 1: Optical microscopic reflectance images of leaf surfaces of white poplar and Chinese elm: (A) adaxial and (B) abaxial surfaces of white poplar; (C) adaxial and (D) abaxial surfaces of Chinese elm. Bar, 200 μm.

Mentions: The smooth adaxial surface (Fig. 1A) of the white poplar leaves differed greatly from the abaxial surface, which has large amounts of tubular hair. The hair was so dense that the cuticular structure could not be seen from the microscopic photograph (Fig. 1B). Because leaf hair, as a major determinant of leaf surface relief, may change leaf surface scattering as well as reflectance, the abaxial surface of white poplar appears to have a white or silver colour. By contrast, the adaxial and abaxial surfaces of Chinese elm leaves had fewer superficial structural differences (Fig. 1C, D), except for a little lighter green on the abaxial surface. Studying the different leaf surfaces of plants may help to acquire more general information on the reflectance of plant leaves and to obtain more applicable VIs to estimate LCC on variously structured leaves.


Comparing vegetation indices for remote chlorophyll measurement of white poplar and Chinese elm leaves with different adaxial and abaxial surfaces.

Lu S, Lu X, Zhao W, Liu Y, Wang Z, Omasa K - J. Exp. Bot. (2015)

Optical microscopic reflectance images of leaf surfaces of white poplar and Chinese elm: (A) adaxial and (B) abaxial surfaces of white poplar; (C) adaxial and (D) abaxial surfaces of Chinese elm. Bar, 200 μm.
© Copyright Policy - creative-commons
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC4585420&req=5

Figure 1: Optical microscopic reflectance images of leaf surfaces of white poplar and Chinese elm: (A) adaxial and (B) abaxial surfaces of white poplar; (C) adaxial and (D) abaxial surfaces of Chinese elm. Bar, 200 μm.
Mentions: The smooth adaxial surface (Fig. 1A) of the white poplar leaves differed greatly from the abaxial surface, which has large amounts of tubular hair. The hair was so dense that the cuticular structure could not be seen from the microscopic photograph (Fig. 1B). Because leaf hair, as a major determinant of leaf surface relief, may change leaf surface scattering as well as reflectance, the abaxial surface of white poplar appears to have a white or silver colour. By contrast, the adaxial and abaxial surfaces of Chinese elm leaves had fewer superficial structural differences (Fig. 1C, D), except for a little lighter green on the abaxial surface. Studying the different leaf surfaces of plants may help to acquire more general information on the reflectance of plant leaves and to obtain more applicable VIs to estimate LCC on variously structured leaves.

Bottom Line: The results showed that most of the published VIs had strong relationships with LCC on the one-surface dataset, but did not show a clear relationship with LCC when both adaxial and abaxial surface reflectance data were included.It explained 92% of LCC variation in this research, and the root mean square error of the LCC prediction was 5.23 μg/cm(2).This new index is insensitive to the effects of adaxial and abaxial leaf surface structures and is strongly related to the variation in reflectance caused by chlorophyll content.

View Article: PubMed Central - PubMed

Affiliation: School of Geographical Sciences, Northeast Normal University, 5268 Renmin Street, Changchun 130024, China.

No MeSH data available.


Related in: MedlinePlus