1st Week of October

Kim, H. S., Palmroth, S., Thérézien, M., Stenberg, P., & Oren, R. (2011). Analysis of the sensitivity of absorbed light and incident light profile to various canopy architecture and stand conditions. Tree Physiology, 31(1), 30-47.

In this paper, they analyzed canopy light absorption, considering leaf angle distribution, leaf clumping and stand density. To compare canopy properties, they set models and compare how well each model estimates measured canopy light absorption. Canopy properties are controlled in 7 models (v1 – v7). The simplest model (v1), only considering Beer-Lambertian gap fraction, was developed to most complex model (v7) by gradually adding another properties. They are compared in respect of various LAI and sky condition.

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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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