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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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3rd week of october

Wang, Z., et al. (2010). "Large variations in Southern Hemisphere biomass burning during the last 650 years." Science 330(6011): 1663-1666. Biomass burning and methane oxidation affect the amount of CO. C derived from biomass burning has higher delta C-13 than methane oxidized C. Also, there is fraction between O-16 and O-18. Using delta C-13 and delta O-18, CO amounts and their relative source can be retrieved.
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AGU 2019

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4th week of september

Brodrick, P. G., Davies, A. B., & Asner, G. P. (2019). Uncovering Ecological Patterns with Convolutional Neural Networks.  Trends in ecology & evolution . When extracting foliar information from high resolution image, it would be quite hard work to detect the leaf, which one wants to know in the map. In the map, the pixel information varies depending on individual leaf angle. And it can change depending on solar zenith angle, which changes every observation. T hough one is interested in just the information of a certain leaf, s patial pattern have to be considered.
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