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1st week of Jan

Yang, X., et al. (2016). "Seasonal variability of multiple leaf traits captured by leaf spectroscopy at two temperate deciduous forests." Remote Sensing of Environment 179: 1-12.
Collection covers all the seasons. Summer is expected to have less variations on the plant's phonology. However, when the model was trained by a season data and then tested to the other seasons, the summer model showed the least RMSE. It means summer was the best season to collect leaves with divers status. It's harsh light must affect various level of stress to sunltis and shaded leaves.
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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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