Inversion of Sio2 Content in Surface Rock by Thermal Infrared Remote Sensing

The content of Sio
₂
in rocks is an important indicator of magmatic rock classification, and quartz vein is the main indicator of field prospecting. In this paper, 60 rock samples from USGS (U.S. Geological Survey), JPL (Jet Propulsion Laboratory) and JHU (Johns Hopkins University) are used to resample the thermal infrared band to the ASTER thermal infrared band to study the emissivity characteristics relationship with Sio
₂
content in the thermal infrared band (8-15μm). Correlation analysis shows that the maximum negative relationship between the Sio
₂
content and the logarithmic transformation ln(bl3/bl2) spectrum of the ASTER band is -0.873, and the maximum positive correlation coefficient between Sio
₂
content and logarithmic transformation ln(bl3)/ln(bl2) of ASTER band is 0.793, which indicates that the correlation between Sio
₂
content and ASTER thermal infrared band emission spectrum is better. Five regression equations were established by multivariate stepwise regression method and partial least squares regression method. The inversion of Sio
₂
content in surface rocks in Lin xi area of Inner Mongolia was carried out by ASTER thermal infrared band. This study has important reference significance for the application of thermal infrared remote sensing to extract Sio
₂
content in surface rocks and to divide lithology and prospecting.