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2nd week of june

Busetto, L., Meroni, M., Crosta, G. F., Guanter, L., & Colombo, R. (2011). SpecCal: Novel software for in-field spectral characterization of high-resolution spectrometers. Computers & geosciences, 37(10), 1685-1691.
Although the company provided the calibration information of the sensor, the shift on fwhm and wavelength was observed in many papers. When re-calibrating, ratio method works well in matching peaks.

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AGU 2019

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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.
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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.
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