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

fYear

2011

fDate

24-29 July 2011

Firstpage

3042

Lastpage

3045

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International

Conference_Location

Vancouver, BC

ISSN

2153-6996

Print_ISBN

978-1-4577-1003-2

Type

conf

DOI

10.1109/IGARSS.2011.6049858

Filename

6049858