ASTER Thermal Infrared Quantitative Inversion Research on the SiO2 Content of Surface Rocks in the Easten Tianshan Area of Xinjiang

The SiO
2
content information in rocks plays a very important role in the classification of igneous rock types and geological prospecting. The thermal infrared emissivity spectrum characteristics of silicate minerals can reflect their SiO
2
content well. This paper selects the rock spectrum data in the USGS and JHU spectrum library as the modeling sample, resamples the spectrum information to the ASTER thermal infrared band, and calculates the correlation coefficient between original spectrum, ratio spectrum and logarithmic spectrum of ASTER thermal infrared band and SiO
2
content. On this basis, a number of multiple linear regression models based on ASTER thermal infrared spectroscopy and SiO
2
content were established, and the accuracy of each model was evaluated. Finally, the model with the highest accuracy was selected to perform a quantitative inversion of SiO
2
content on a scene of ASTER data in the Easten Tianshan area of Xinjiang. Through comparative research, the inversion results are in good agreement with the SiO
2
content of various lithologies in the geological map. It shows that this method is feasible for inversion of SiO
2
content regionally in surface rocks, and has certain guiding significance for remote sensing ore prospecting.