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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

Best-fit lines and experimental data for vegetation indices (VIs) and chlorophyll content relationships: (A) (R719−R726)/(R719−R743) versus Chl; (B) R709−R434 versus Chl; (C) R451/R604 versus Chl; (D) (R583−R426)/(R583+R426) versus Chl. Filled circles, adaxial surface data for white poplar; closed circles, abaxial surface data for white poplar; filled squares, adaxial surface data for Chinese elm; closed circles, abaxial surface data for Chinese elm.
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Figure 7: Best-fit lines and experimental data for vegetation indices (VIs) and chlorophyll content relationships: (A) (R719−R726)/(R719−R743) versus Chl; (B) R709−R434 versus Chl; (C) R451/R604 versus Chl; (D) (R583−R426)/(R583+R426) versus Chl. Filled circles, adaxial surface data for white poplar; closed circles, abaxial surface data for white poplar; filled squares, adaxial surface data for Chinese elm; closed circles, abaxial surface data for Chinese elm.

Mentions: The scatter plots for the 230 samples between LCC and the best-performing two-band and MDATT indices are shown in Fig. 7. It can also be seen that the MDATT index correlated with LCC better than the two-band indices.


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)

Best-fit lines and experimental data for vegetation indices (VIs) and chlorophyll content relationships: (A) (R719−R726)/(R719−R743) versus Chl; (B) R709−R434 versus Chl; (C) R451/R604 versus Chl; (D) (R583−R426)/(R583+R426) versus Chl. Filled circles, adaxial surface data for white poplar; closed circles, abaxial surface data for white poplar; filled squares, adaxial surface data for Chinese elm; closed circles, abaxial surface data for Chinese elm.
© Copyright Policy - creative-commons
Related In: Results  -  Collection

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

Figure 7: Best-fit lines and experimental data for vegetation indices (VIs) and chlorophyll content relationships: (A) (R719−R726)/(R719−R743) versus Chl; (B) R709−R434 versus Chl; (C) R451/R604 versus Chl; (D) (R583−R426)/(R583+R426) versus Chl. Filled circles, adaxial surface data for white poplar; closed circles, abaxial surface data for white poplar; filled squares, adaxial surface data for Chinese elm; closed circles, abaxial surface data for Chinese elm.
Mentions: The scatter plots for the 230 samples between LCC and the best-performing two-band and MDATT indices are shown in Fig. 7. It can also be seen that the MDATT index correlated with LCC better than the two-band indices.

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