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4th week of april

Modzelewska, Aneta, Fabian Ewald Fassnacht, and Krzysztof Stereńczak. "Tree species identification within an extensive forest area with diverse management regimes using airborne hyperspectral data." International Journal of Applied Earth Observation and Geoinformation 84 (2020): 101960.
Needles show high prediction. That high performance was not expected for needles, which have penumbra region. High plant density and high LAI might affect to model performance positively.

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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.

4th week of november

Bousquet, L., Lachérade, S., Jacquemoud, S. and Moya, I., 2005. Leaf BRDF measurements and model for specular and diffuse components differentiation. Remote Sensing of Environment, 98(2-3): 201-211. Specular reflectance originates from leaf surface. On the other hand, diffuse reflectance originates from leaf intrastructure. To focus on the target traits, the two reflectance needs to be separated.

AGU 2019