Soil-line vegetation indices for corn nitrogen content prediction

The soil-line vegetation indices for prediction of corn canopy nitrogen content were investigated. Results indicated that the vegetation indices applied were correlated with corn canopy nitrogen content and the wavelengths between 630-860 nm are suitable for nitrogen diagnosis. The second-order poly...

Full description

Saved in:
Bibliographic Details
Published inInternational Agrophysics Vol. 26; no. 2; pp. 103 - 108
Main Authors Bagheri, N., Ahmadi, H., Alavipanah, S., Omid, M.
Format Journal Article
LanguageEnglish
Published Lublin Versita 01.04.2012
Polish Academy of Sciences, Institute of Agrophysics
Subjects
corn
nitrogen
satellite remote sensing
soil-line vegetation indices
Online AccessGet full text

Cover

More Information
Summary:The soil-line vegetation indices for prediction of corn canopy nitrogen content were investigated. Results indicated that the vegetation indices applied were correlated with corn canopy nitrogen content and the wavelengths between 630-860 nm are suitable for nitrogen diagnosis. The second-order polynomial equation was the best model for nitrogen content prediction among different regression types. Analyses based on both predicted and measured data were carried out to compare the performance of existing vegetation indices.
Bibliography:ArticleID:v10247-012-0016-8
v10247-012-0016-8.pdf
istex:A989F983EB2B09A21A5F5DBA9624D71E0D7215E2
ark:/67375/QT4-BC48HXKT-R
ISSN:0236-8722
2300-8725
DOI:10.2478/v10247-012-0016-8