기본 콘텐츠로 건너뛰기

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.

댓글

댓글 쓰기

이 블로그의 인기 게시물

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

AGU 2019

댓글 쓰기
자세한 내용 보기

2nd Week of August

Schaepman-Strub, Gabriela, et al. Reflectance quantities in optical remote sensing—Definitions and case studies. Remote sensing of environment 103.1 (2006) 27-42. If a surface was not an ideal specular or diffuse surface, one could observe diffuse light as well as specular light reflected off the surface. Reflectance is affected by where the incident light comes from and where the light is observed, which is represented by an angular distribution function. So different reflectance concepts are possible, so it is needed to use the term reflectance practically.
댓글 쓰기
자세한 내용 보기