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Canopy Spatial Distribution and Identification Using Hyperspectal Data in Winter Wheat

文献类型: 外文期刊

作者: Lu, Yan-Li 1 ; Li, Shao-Kun 1 ; Bai, You-Lu 2 ; Jones, Carol L. 4 ; Wang, Ji-Hua 5 ;

作者机构: 1.Chinese Acad Agr Sci, Crop Sci Res Inst, Natl Key Facil Crop Gene Resources & Genet Improv, Beijing 100081, Peoples R China

2.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Key Lab Plant Nutr, Beijing 100081, Peoples R China

3.Nutrient Cycling Minist Agr, Beijing, Peoples R China

4.Oklahoma State Univ, Stillwater, OK 74078 USA

5.Natl Engn Res Ctr Informat Technol Agr, Beijing, Peoples R China

关键词: hyperspectral data;growth stage;canopy spatial distribution;canopy spatial identification

期刊名称:COMMUNICATIONS IN SOIL SCIENCE AND PLANT ANALYSIS ( 影响因子:1.327; 五年影响因子:1.315 )

ISSN:

年卷期:

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收录情况: SCI

摘要: Winter wheat varieties (Triticum aestivum L.) with different leaf angle distributions (LADs) were used in this experiment. Results showed that varieties with planophile LADs had leaf orientation values (LOVs) ranging from 25.12 to 40.33, whereas varieties with erectophile LADs had LOVs ranging from 67.5 to 73.25. Canopy spectral reflectance was measured using a ground-based spectroradiometer. Correlation analysis indicated that LOV affected canopy spectra more than leaf area index (LAI) before the jointing stage. The LAI had the greatest effect after the ground was nearly completely covered. Discriminant analysis showed that simultaneous measurements of normalized difference vegetation index (NDVI) and cover can differentiate LADs in those wheat varieties with similar population magnitude at the jointing stage. In addition, by using increments of the canopy spectral reflectance at different growth stages, the planophile varieties with low LAIs can be differentiated from the erectophile varieties with high LAIs, which cannot be achieved using NDVI and cover. Using R890 as the reflectance increment of booting stage and jointing stage and R890 as the reflectance of 890-nm energy at the jointing stage, different varieties presented distinctly different scatter plot representations (X = R890, Y = R890). This analysis also indicted that varieties with different LADs can be clustered and identified qualitatively in the plot despite their population magnitude, also validated by discriminant analysis.

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