Quantitative Inversion of Soil Potassium Content by Using Hyperspectral Reflectance
HU Fang1,2, LIN Qi-zhong1, WANG Qin-jun1, WANG Ya-jun1,2
1. Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China;
2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China
Abstract：In order to predict the soil potassium content more quickly and accurately,this paper studied the relationship between soil spectrum and soil potassium content based on soil hyper-spectrum and chemical element analytical results. Based on preprocessing, the authors extracted the original soil spectrum and four parameters of spectra, i.e., reflectance spectra, first derivative reflectance spectra, inverse-log spectra and band depth, so as to establish the prediction model for potassium content by PLSR. The model was tested, and the results indicate that band depth is the optimum parameter for inverting soil potassium content, with a minimum modeling correlation coefficient of 0.85 and maximum RMSE of 0.1. This research shows that, as a non-destructive method, the soil spectrum with high spectral resolution in the whole range has the potential for the rapid simultaneous prediction of potassium concentration.
胡芳, 蔺启忠, 王钦军, 王亚军. 土壤钾含量高光谱定量反演研究[J]. 国土资源遥感, 2012, 24(4): 157-162.
HU Fang, LIN Qi-zhong, WANG Qin-jun, WANG Ya-jun. Quantitative Inversion of Soil Potassium Content by Using Hyperspectral Reflectance. REMOTE SENSING FOR LAND & RESOURCES, 2012, 24(4): 157-162.
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2012, Vol. 24 
