Comparative study of estimation model on chlorophyll content at jointing stage of spring wheat under different lands based on hyperspectral indices
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DOI:10.7606/j.issn.1000-7601.2014.05.018
Key Words: hyperspectral variables  irrigated land  dry land  jointing stage  chlorophyll content  comparative study
Author NameAffiliation
JIN Yan-hua1,3, XIONG Hei-gang2,3, ZHANG Fang1,3, WANG Li-feng1,3 (1.新疆大学资源与环境科学学院, 新疆 乌鲁木齐 830046
2.北京联合大学应用文理学院
, 北京 100083 3.教育部绿洲生态重点实验室, 新疆 乌鲁木齐 830046) 
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Abstract:
      In order to establish high spectral chlorophyll content model based on correlation analysis between chlorophyll content and five spectral variables of spring wheat under irrigated and dry land, canopy spectral, chlorophyll content, ground cover, seedling height, leaf width at jointing stage of spring wheat under different land were determined, and the precision of these model were tested. The result showed a positive correlation between chlorophyll content and original spectrum at visible light and near infrared band of sunny and double slopes at jointing stage of spring wheat, and a negative correlation below 723 nm and a positive correlation above 723 nm for irrigated land and shady slope. There was markedly significant correlation (P<0.01) between chlorophyll content and hyperspectral variables of spring wheat under different lands. Regardless of visible light or near infrared wave band, lg(1/R) was significantly correlated with the leaf chlorophyll content, with a correlation coefficient of 0.98. Shady slope was correlated with first derivative (r= 0.94), while for sunny and double slopes normalized difference vegetation index showed significant relationship. For each band, lg(1/R), p′, and N were suitable indexes estimating chlorophyll content for all lands of irrigated land, shady slope, and sunny and double-sided slope. Although the regression determination coefficient R2 was more than 0.90, precision and accuracy of the proposed for shady slope, sunny and double slope are slightly lower than that of irrigated land.