기본 콘텐츠로 건너뛰기

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.

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