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5th week of July


An Approach for Foliar Trait Retrieval from Airborne Imaging Spectroscopy of Tropical Forests

Hyperspectral enables to retrieve diverse foliar traits. That is especially meaningful because only considering diverse traits allow to track functions. As structure could not only boost light interception but also burden to maintain the structure itself, physiological traits and structural traits show perpendicular relationship. So form follows function!

Reference

Martin, R. E., Chadwick, K. D., Brodrick, P. G., Carranza-Jimenez, L., Vaughn, N. R., & Asner, G. P. (2018). An approach for foliar trait retrieval from airborne imaging spectroscopy of tropical forests. Remote Sensing, 10(2), 199.

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AGU 2019

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4th week of june

Asner, G. P., Martin, R. E., Anderson, C. B., & Knapp, D. E. (2015). Quantifying forest canopy traits: Imaging spectroscopy versus field survey.  Remote Sensing of Environment ,  158 , 15-27. They use canopy sunlit reflectance at plot level and the trait samples from sunlit. The plot averaged refletance minimize canopy architectural effect. However actual field samples cover only 5% of a plot, the plot reflectance well explains canopy traits.
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1st Week of August

Jacquemoud, S., et al. "Estimating leaf biochemistry using the PROSPECT leaf optical properties model."  Remote sensing of environment  56.3 (1996): 194-202. Leaf reflectance is affected by leaf biochemicals as well as by pigments or water. Inspecting NIR reflectance, N which is highly correlated to protein and C which are highly correlated to  cellulose and lignin  can be detected.
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