기본 콘텐츠로 건너뛰기

2nd week of Jan

Skidmore, A. K., et al. (2010). "Forage quality of savannas — Simultaneously mapping foliar protein and polyphenols for trees and grass using hyperspectral imagery." Remote Sensing of Environment 114(1): 64-72.
Canopy N was calculated just multiplying leaf N to LAI. In this paper, more precise estimate of canopy N was attributed to higher estimate of LAI. On leaf scale, the leaf structure itself did not account for leaf spectroscopy better than foliar traits. However, on UAV level, canopy structure affects to the spectroscopy directly.

댓글

이 블로그의 인기 게시물

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.

2nd week of december

El Alem, A., Chokmani, K., Agili, H., Poulin, J., Laurion, I., Venkatesan, A. E., & Dedieu, J. P. (2019, December). Potential of a Drone Hyperspectral Data-Based Model to Remote Estimate Chlorophyll-a Concentration from Sentinel 2A and 2B Sensors Data. In  AGU Fall Meeting 2019 . AGU. As for ocean chlorophyll contents, they are not distributed evenly. Rather, their amounts are polarized. The author harmonized two models, the one is classifying model and the other is retrieving model.