DocumentCode :
512953
Title :
A narrow band combination model to determine leaf nitrogen and water content in rice
Author :
Song, Shalei ; Li, Pingxiang ; Gong, Wei ; Zhang, Liangpei ; Zhu, Bo ; Lv, Lilei ; Zhang, Daoxi
Author_Institution :
State Key Lab. Inf. Eng. in Surveying, Mapping & Remote Sensing, Wuhan Univ., Wuhan, China
Volume :
4
fYear :
2009
fDate :
12-17 July 2009
Abstract :
The main objectives of this research were to select the best hyperspectral narrow bands in the study of rice under different levels of nitrogen and water was used to study the nutritional status of rice. The methodologies employed used partial least squares (PLS) analysis method and spectral bands inter-correlation method (ICM), on the basis of an experiment using reflectance spectra of rice leaves and the concentration of three foliar biochemicals: nitrogen, chlorophyll-a and water, we select the most appropriate wavelengths. We established several broad-band and narrow-band (wavelengths) combinations and compare the inverse effects with each other to determine the inversion accuracy of narrow bands. From the PLS regression result, we confirmed that a 5 narrow bands combination includes 552 nm, 660 nm, 675 nm, 752 nm, 776 nm is the best inversion model of rice leaf nitrogen content, and the 3 narrow bands combination includes 1158 nm, 1378 nm, 1955 nm is much available for rice leaf water content inversion.
Keywords :
agriculture; crops; geophysical signal processing; least squares approximations; nitrogen; organic compounds; remote sensing; water; H2O; N; foliar biochemicals; hyperspectral narrow bands; leaf chlorophyll-a; narrow band combination model; partial least squares analysis; rice leaf nitrogen content; rice leaf reflectance spectra; rice leaf water content; rice nutritional status; spectral band intercorrelation method; wavelength 1158 nm; wavelength 1378 nm; wavelength 1955 nm; wavelength 552 nm; wavelength 660 nm; wavelength 675 nm; wavelength 752 nm; wavelength 776 nm; Biochemical analysis; Crops; Hyperspectral imaging; Hyperspectral sensors; Laboratories; Narrowband; Nitrogen; Reflectivity; Remote sensing; Vegetation; Hyperspectral; PLS; Rice; wavelength selection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
Conference_Location :
Cape Town
Print_ISBN :
978-1-4244-3394-0
Electronic_ISBN :
978-1-4244-3395-7
Type :
conf
DOI :
10.1109/IGARSS.2009.5417317
Filename :
5417317
Link To Document :
بازگشت