Visible-near infrared reflection spectroscopy has the advantages of fast and green, and has great technical advantages in the field detection of soil components, but no study on organic carbon (OC) in marine beach sediments has been found. According to the OC content and visible - near infrared reflection spectrum of sediment samples from Jiaozhou Bay beach in Qingdao, the spectral preprocessing was carried out by S-G derivative filter, and the sediment samples were divided by Kennard-Stone algorithm. On the basis of the whole band, the prediction model of sediment OC is established by using the least square support vector machine (LSSVM) algorithm. According to the evaluation results of the model, the modeling set R2=0.97, the prediction set R2=0.83, and the relative analysis error RPD=2.46, shows that the model has a good prediction effect.
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