数字农科院2.0

Study on the Correlation of Spectral Characteristic and Nitrogen Content of the Soil in Citrus Orchard of Three Gorges Reservoir Area

文献类型: 外文期刊

作者: Yi Shi-lai;Deng Lie;He Shao-lan;Zheng Yong-qiang;Xie Rang-jin;Zhang Xuan;Yi Shi-lai;Deng Lie;He Shao-lan;Zheng Yong-qiang;Xie Rang-jin;Zhang Xuan;Yi Shi-lai;Deng Lie;He Shao-lan;Zheng Yong-qiang;Xie Rang-jin;Zhang Xuan

作者机构:

关键词: Three Gorges Reservoir Area;Soil;Spectral characteristic;Soil nitrogen;Correlation

期刊名称: SPECTROSCOPY AND SPECTRAL ANALYSIS

ISSN: 1000-0593

年卷期: 2009 年 29 卷 9 期

页码:

收录情况: SCI

摘要: The relationship between the spectrum characteristics and nitrogen content of soils in citrus orchard of the Three Gorges Reservoir Area was studied by analyzing the visible-near infrared spectrum. The results showed that the soil reflectivity increased lineally as the wavelength increases across the visible spectrum and reached a stable plateau in the short wavelength near-infrared region(780-1 750 nm) without much fluctuation. In the long wavelength near-infrared region (1 750-2 400 nm) the reflectivity of the soils was higher with higher fluctuation. There were three strong absorbance peaks around 1 416, 1 913 and 2 209 nm, respectively, in the long wavelength infrared region. Soil available nitrogen content and total nitrogen content were positively correlated with soil light reflectivity but negatively correlated with catoptric-spectrum values reciprocal logarithm. At 541 nm of visible light region, a high positive correlation was found between the available nitrogen content and the first derivative of the soil reflective spectrum with a correlation coefficient of +0. 605** and the best fitting equation was y=2E+09x(2) -3E+06x+ 890.49, where R(2) = 0.51 and x is the first derivative of the soil reflective spectrum. At 1909 nm of the near-infrared long wavelength region, the correlation between the total nitrogen content and the reciprocal-log values of the reflective spectrum of the soils was the best with a correlation coefficient of -0.612**, and the best fitting equation was y=1.372 1x(2) - 2.107 5x+0.859 2, where R(2) = 0. 4, and x is the reciprocal values of the log reflective spectrum of the soils.

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