Effect of Spectral Resolution on Black Soil Organic Matter Content Predicting Model Based on Laboratory Reflectance
LIU Huan-jun1, 2, WU Bing-fang1*, ZHAO Chun-jiang2, ZHAO Yun-sheng3
1. Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China 2. Beijing Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China 3. College of Urban and Environmental Sciences, Northeast Normal University, Changchun 130024, China
Abstract：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 R2=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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