기본 콘텐츠로 건너뛰기

4th week of July


Exploring the potential of PROCOSINE and close-range hyperspectral imaging to study the effects of fungal diseases on leaf physiology


Symptoms of plant diseases just start to appear on only part of a leaf. To early detect them, sub-millimeter scale changes on a leaf need to be considered. Incorporating PROSPECT to leaf surface information, (specular parameter, incident light angle and leaf curved angle), PROCOSINE model well explains leaf physiology in close-range remote sensing.

Reference
Morel, J., Jay, S., Féret, J. B., Bakache, A., Bendoula, R., Carreel, F., & Gorretta, N. (2018). Exploring the potential of PROCOSINE and close-range hyperspectral imaging to study the effects of fungal diseases on leaf physiology. Scientific reports, 8(1), 1-13.

댓글

댓글 쓰기

이 블로그의 인기 게시물

3rd week of october

Wang, Z., et al. (2010). "Large variations in Southern Hemisphere biomass burning during the last 650 years." Science 330(6011): 1663-1666. Biomass burning and methane oxidation affect the amount of CO. C derived from biomass burning has higher delta C-13 than methane oxidized C. Also, there is fraction between O-16 and O-18. Using delta C-13 and delta O-18, CO amounts and their relative source can be retrieved.
댓글 쓰기
자세한 내용 보기

AGU 2019

댓글 쓰기
자세한 내용 보기

4th week of september

Brodrick, P. G., Davies, A. B., & Asner, G. P. (2019). Uncovering Ecological Patterns with Convolutional Neural Networks.  Trends in ecology & evolution . When extracting foliar information from high resolution image, it would be quite hard work to detect the leaf, which one wants to know in the map. In the map, the pixel information varies depending on individual leaf angle. And it can change depending on solar zenith angle, which changes every observation. T hough one is interested in just the information of a certain leaf, s patial pattern have to be considered.
댓글 쓰기
자세한 내용 보기