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Effect of Spectral Resolution on Black Soil Organic Matter Content Predicting Model Based on Laboratory Reflectance

文献类型： 外文期刊

作者： Liu Huan-jun 1 ; Wu Bing-fang 1 ; Zhao Chun-jiang 2 ; Zhao Yun-Sheng 3 ;

作者机构： 1.Chinese Acad Sci, Inst Remote Sensing Applicat, Beijing 100101, Peoples R China

2.Beijing Acad Agr & Forestry Sci, Beijing Engn Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China

3.NE Normal Univ, Coll Urban & Environm Sci, Changchun 130024, Peoples R China

关键词： Spectral resolution;Soil organic matter;Reflectance characteristics

期刊名称：SPECTROSCOPY AND SPECTRAL ANALYSIS （ 影响因子：0.589； 五年影响因子：0.504 ）

ISSN： 1000-0593

年卷期： 2012 年 32 卷 3 期

页码：

收录情况： SCI

摘要： Laboratory reflectance of Black soil samples was re-sampled with different spectral resolution, and the correlation between soil organic matter (OM) and reflectance, spectral variables was analyzed to study the effect of spectral resolution on black soil OM predicting model. The results are as follows: the spectral response range of black soil OM is between 445 and 1 380 nm, high OM content shades the spectral effect of other soil properties. The precision of black soil OM predicting models increases and decreases with spectral resolution, and the maximum accuracy is at 50 nm, which is wider than hyperspectral resolution, and narrower than the bandwidth of multispectral sensors; with the derivative of logarithmic reflectance reciprocal as input variables, the optimal black soil organic matter predicting model shows high accuracy, with R-2=0. 799 and RMSE=0. 439; the results can provide the academic and technical support for soil organic matter remote sensing reversing and quick instrument developing.

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