Multivariate analysis of nitrogen content for rice at the heading stage using reflectance of airborne hyperspectral remote sensing

[Display omitted] ► Airborne hyperspectral remote sensing was applied to analyze the nitrogen content of rice at the heading stage using three-year data. ► The accuracy of two-year-models (TYM) was better than that of single-year-models (SYM) not only MLR but also PLSR models. ► Although the accurac...

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Veröffentlicht in:	Field crops research 2011-06, Vol.122 (3), p.214-224
Hauptverfasser:	Ryu, Chanseok, Suguri, Masahiko, Umeda, Mikio
Format:	Artikel
Sprache:	eng
Schlagworte:	Airborne hyperspectral remote sensing Crops Heading stage Multiple linear regression (MLR) Nitrogen content Oryza sativa Partial least square regression (PLSR)
Online-Zugang:	Volltext
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