Title :
A method for leaf gap fraction estimation based on multispectral digital images from Multispectral Canopy Imager
Author :
Liu, Yaokai ; Hu, Ronghai ; Mu, Xihan ; Yan, Guangjian
Author_Institution :
State Key Lab. of Remote Sensing Sci., Beijing Normal Univ., Beijing, China
Abstract :
Gap fraction is a very important parameter to the indirect estimation of the true Leaf Area Index. In this paper, we combined the multispectral digital imageries (RGB color imagery and Near-Infrared imagery), which were obtained from a new device called Multispectral Canopy Imager (MCI), to estimate gap fraction. A new method incorporated with CIE L*a*b* color space has also been proposed to segment the multispectral digital imagery. The preliminary results of the estimated gap fraction have been showed in the conclusions section and been proved to be very well.
Keywords :
geophysical image processing; image colour analysis; image segmentation; infrared imaging; spectral analysis; vegetation; vegetation mapping; CIE L*a*b* color space; Multispectral Canopy Imager; RGB color imagery; image segmentation; leaf area index; leaf gap fraction estimation; multispectral canopy imager; multispectral digital image; near-infrared imagery; Digital images; Educational institutions; Estimation; Image color analysis; Image registration; Image segmentation; Photography;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4577-1003-2
DOI :
10.1109/IGARSS.2011.6049858
