3rd week of december

Gitelson, A.A., Zur, Y., Chivkunova, O.B. and Merzlyak, M.N., 2002. Assessing carotenoid content in plant leaves with reflectance spectroscopy. Photochem Photobiol, 75(3): 272-81.

Carotenoid content is lower than leaf chlorophyll content. But the seasonal decrease is much lower than that of chlorophyll. Namely, in green leaves, the strong chlorophyll effect in visible range obscures carotenoid signal. On the other hand, in yellowish leaves, the effect is little. Before estimating carotenoid content, it can be useful to classify leaves by carotenoid proportion.

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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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AGU 2019

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2nd Week of August

Schaepman-Strub, Gabriela, et al. Reflectance quantities in optical remote sensing—Definitions and case studies. Remote sensing of environment 103.1 (2006) 27-42. If a surface was not an ideal specular or diffuse surface, one could observe diffuse light as well as specular light reflected off the surface. Reflectance is affected by where the incident light comes from and where the light is observed, which is represented by an angular distribution function. So different reflectance concepts are possible, so it is needed to use the term reflectance practically.

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