기본 콘텐츠로 건너뛰기

3rd week of July


Crop nitrogen monitoring: Recent progress and principal developments in the context of imaging spectroscopy missions


In estimating N content, most papers relies on the relationship between chlorophyll and N. However chlorophyll holds very small shares of leaf N and also the contribution of N to physiological process is minor. The paper suggests to target leaf protein which could be approximate to N contents.

Reference
Berger, K., Verrelst, J., Féret, J. B., Wang, Z., Wocher, M., Strathmann, M., ... & Hank, T. (2020). Crop nitrogen monitoring: Recent progress and principal developments in the context of imaging spectroscopy missions. Remote Sensing of Environment, 242, 111758.

댓글

댓글 쓰기

이 블로그의 인기 게시물

AGU 2019

댓글 쓰기
자세한 내용 보기

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.
댓글 쓰기
자세한 내용 보기

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.
댓글 쓰기
자세한 내용 보기