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2nd week of March

Zhang, Xiaokang, et al. "Acquisitions and applications of forest canopy hyperspectral imageries at hotspot and multiview angle using unmanned aerial vehicle platform." Journal of Applied Remote Sensing 14.2 (2020): 022212.
Remote sensing based on UAV enable to acquire images with higher resolution. It forces to determine the relevant pixels. A vast amount of data may come to noise. On the blurred earth, VIs had ability to explain the world. Every details of the earth getting observed, a few spectral signals lost its power to represent them. On this earth, all the tiny information have to be gathered in remotely sensing.

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AGU 2019

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.

1st Week of August

Jacquemoud, S., et al. "Estimating leaf biochemistry using the PROSPECT leaf optical properties model."  Remote sensing of environment  56.3 (1996): 194-202. Leaf reflectance is affected by leaf biochemicals as well as by pigments or water. Inspecting NIR reflectance, N which is highly correlated to protein and C which are highly correlated to  cellulose and lignin  can be detected.