College of Geo-exploration Science and Technology, Jilin University, Changchun 130026, China

To explore the spatial distribution of lithium resources in Arizaro salt lake, the Sentinel-2A satellite data and the measured data of lithium ion content were used for statistical analysis and the band combination method is used to establish the salt index. Combining principal component analysis, separation of lithium ion content in the salt lake is achieved and the remote sensing prediction model for lithium ion content is established. The results show that the inversion accuracy of the lithium ion content prediction model in the salt lake is more than 80%, and the distribution of lithium ion content in the inversion is basically the same as the actual situation.