4th Week of July 2019

Asner, Gregory P., and Roberta E. Martin. Spectral and chemical analysis of tropical forests Scaling from leaf to canopy levels. Remote Sensing of Environment 112.10 (2008) 3958-3970.

When up-scaling leaf level to canopy level, canopy structure may obstruct leaf traits to fully appear as the form of spectra. Except LAI, however, most canopy structural features had a negligible effect on the spectra created by canopy modeling.

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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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