Title :
Estimation of glycyrrhizic acid content using canopy spectroscopy in visible-shortwave infrared region
Author :
Zhang, Xuewen ; Zhang, Lifu ; Xie, Caixiang
Author_Institution :
State Key Lab. of Remote Sensing Sci., Inst. of Remote Sensing Applic., Beijing, China
Abstract :
Chinese licorice, the root of Glycyrrhiza uralensis Fisch, is one of the more widely used herbal drugs in China. Glycyrrhizic acid (GA), the one of the main active ingredients in G. uralensis, is generally used as an indicator to assess the quality of G. uralensis. At present, the methods of determining GA content are laborious and time consuming and cannot be applied to remotely sensed technology. In this study, we developed methods using canopy spectral data in visible-shortwave infrared region to qualitatively classify G. uralensis samples and to quantitatively predict the GA content by a partial least square (PLS) model. The results showed that our methods provided acceptable results and implied the ability of determining GA content from remote sensing data.
Keywords :
atmospheric boundary layer; atmospheric optics; atmospheric techniques; geochemistry; infrared spectra; least squares approximations; organic compounds; remote sensing; vegetation; China; Chinese licorice; Glycyrrhiza uralensis Fisch; canopy spectral data; canopy spectroscopy; glycyrrhizic acid; herbal drug; partial least square model; remotely sensing; visible shortwave infrared region; Accuracy; Estimation; Hyperspectral imaging; Laboratories; Spectroscopy; Glycyrrhizic acid; canopy spectroscopy; remote sensing; visible-shortwave infrared;
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.2011.6049455