Advanced vegetation indices for sensing paddy growth via hyperspectral measurements. Issue 2 (1st February 2018)

• Record Type: Journal Article
• Authors: Moharana, Shreedevi; Medhi, Hemanta; Dutta, Subashisa
• Is Part Of: Geocarto international. Volume 33:Issue 2(2018)
• Page Start: 130
• Page End: 147
• Publication Date: 2018-02-01
• Subjects: Rice agriculture -- spectral reflectance -- critical wavelength -- hyperspectral measurements -- nitrogen application -- vegetation index; Remote sensing -- Periodicals; Geographic information systems -- Periodicals; Geology -- Periodicals; Cartography -- Periodicals; 621.3678
• DOI: 10.1080/10106049.2016.1232315
• Languages: English
• ISSNs: 1010-6049

Abstract

Abstract: In this study, field-based spectroradiometer measurements were carried out in 72 plots with eight rice varieties along with three nitrogen applications. The critical wavelengths for the studied rice varieties at which the effects of nitrogen applications on spectral reflectance response were found significant, are ρ 550, ρ 560, ρ 655, ρ 750, ρ 755, ρ 780, ρ 810, ρ 840, ρ 900, ρ 920, ρ 1000, ρ 1010, ρ 1020 . Using the critical wavelengths, three derived vegetation indices were compared with established indices (VI and GRI) sensitive to nitrogen. VI1 and VI2 were efficiently able to discriminate the level of nitrogen treatments for most of the rice genotypes whereas VI and GRI were unable to find significant difference in nitrogen treatments for rice genotypes except two. Furthermore, nitrogen difference plots exhibited that the paddy crop growth has started earlier with N3 (150 kg/ha) than N2 (100 kg/ha) application. Quantitative analysis of rice genotypes revealed that VI2 can be applied functionally for the assessment of nitrogen stress in rice agriculture system.