3rd week of november

Daughtry, C.S.T., Walthall, C.L., Kim, M.S., de Colstoun, E.B. and McMurtrey, J.E., 2000. Estimating corn leaf chlorophyll concentration from leaf and canopy reflectance. Remote Sensing of Environment, 74(2): 229-239.

Background effects, such as LAI and soil, interfere the leaf signal. Using double indices -ratio of indices sensitive to background to those sensitive to foliar traits - would contribute to reduce redundant signals.

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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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