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3rd Week of June 2019

Kokaly, Raymond F., et al. Characterizing canopy biochemistry from imaging spectroscopy and its application to ecosystem studies. Remote Sensing of Environment 113 (2009) S78-S91.
Reflectance spectra for a single leaf is different from that for a stake of leaves or a canopy in near infrared because, in the range, reflectance is mainly affected by photon scattering, not photon absorption. Canopy scale reflectance, attributed to the structure such as height, would be shown much higher than the others. Thus understanding refectance spectra at canopy scale, it is needed to consider leaf transmittance or canopy structure which is possible to detect in LiDAR sensing.

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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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