Relationships between derivative spectra and agronomic parameters of corn

Qiuxiang Yi; Xiuzhen Wang; Jingfeng Huang; Yi Qian; Shanxian Yu

doi:10.1117/12.558953

9 November 2004 Relationships between derivative spectra and agronomic parameters of corn

Qiuxiang Yi, Xiuzhen Wang, Jingfeng Huang, Yi Qian, Shanxian Yu

Proceedings Volume 5544, Remote Sensing and Modeling of Ecosystems for Sustainability; (2004) https://doi.org/10.1117/12.558953
Event: Optical Science and Technology, the SPIE 49th Annual Meeting, 2004, Denver, Colorado, United States

Abstract

The objective of this paper is to discuss the action of derivative spectra of corn in determining spectral bands that are best suited for characterizing corn agronomic parameters. The data for this study comes from filed and indoor reflectance measurements of corn by a ASD FieldSpec Pro FR. Observed corn characteristics included leaf area index, aboveground fresh biomass chlorophyll concentration and carotenoid concentration. The study shows that the derivative spectra can determine some characteristic wavelength of corn and eliminate the influence of soil background in some degree. Leaf area index, above-ground biomass, chlorophyll concentration and carotenoid concentration were strongly correlative to the red edge parameters which derive from derivative spectra of corn (the position of red edgeλ_red, the slope of red edge D_red and the area of red edge S_red). A strong relationship with corn characteristics is located in specific narrow bands in the longer wavelength portion of red (710nm to 740nm). The study concludes it is feasible for the derivative spectra of corn to determine its some agronomic parameters.

Citation Download Citation

Qiuxiang Yi, Xiuzhen Wang, Jingfeng Huang, Yi Qian, and Shanxian Yu "Relationships between derivative spectra and agronomic parameters of corn", Proc. SPIE 5544, Remote Sensing and Modeling of Ecosystems for Sustainability, (9 November 2004); https://doi.org/10.1117/12.558953

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KEYWORDS

Reflectivity

Vegetation

Remote sensing

Soil science

Biological research

Absorption

Roentgenium

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