Estimation of soil inorganic carbon with visible near-infrared spectroscopy coupling of variable selection and deep learning in arid region of China

•All four deep learning models can perform excellent potential for estimating SIC.•LSTM was the best-performing deep learning algorithm for estimating SIC.•The variable selection algorithm could improve the estimation of SIC.•The IRF was the best algorithm to select spectral variables relevant to SIC.