NDLI: Polarization characteristics of a mixed seeding pasture and its application for predicting the ratio of legumes

Content Provider	IEEE Xplore Digital Library
Author	Shibayama, M.
Copyright Year	2003
Description	Author affiliation: Dept. of Global Resources, Nat. Inst. for Agro-Environ. Sci., Tsukuba, Japan (Shibayama, M.)
Abstract	Reflectance (R), polarized reflectance (Q) and degree of polarization (P) were measured for a mixed seeding pasture consisting of white clover and tall fescue in 8 spectral bands in the visible, near- and short-wave infrared wavelength ranges. Horizontal leaves in the white clover canopies generated more polarized light than vertical leaves of the tall fescue. Polarization (Q and P) increased as the ratio of legumes (ROL, leaf area ratio of white clover to the total) increased in the mixed sown canopies. A multiple regression model that used a Q and Rs of 3-bands that were all acquired at view zenith angle 60/spl deg/ explained 90% of the variation of ROL with RMSE 11%. The regression model was validated by a data set provided in the next growing season. The model including polarization information was comparatively more stable inter-annually than the model of reflectance only. It is effective to utilize the polarization information of reflected light as a method of estimating ROL of mixed seeding pastures where planophyll and erectophyll plant species coexist. Polarization is appropriate for ROL monitoring in pastures.
Starting Page	4413
Ending Page	4415
File Size	1399341
Page Count	3
File Format	PDF
ISBN	0780379292
DOI	10.1109/IGARSS.2003.1295531
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-07-21
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Optical polarization Reflectivity Wavelength measurement Remote monitoring Radiometry Optical sensors Optical surface waves Surface morphology Satellite broadcasting Q measurement
Content Type	Text
Resource Type	Article

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