Mafic–ultramafic and quartz-rich rock indices deduced from ASTER thermal infrared data using a linear approximation to the Planck function

2014 ◽  
Vol 60 ◽  
pp. 161-173 ◽  
Author(s):  
Chao Ding ◽  
Xiangnan Liu ◽  
Wencan Liu ◽  
Meiling Liu ◽  
Yao Li
Keyword(s):  
Linear Approximation ◽  
Thermal Infrared ◽  
Planck Function ◽  
Infrared Data

SiO2 Content Retrieving Based on ASTER and its Application in Metallogenic Prediction in Abra, Australian

2012 ◽  
Vol 236-237 ◽  
pp. 72-77
Author(s):  
Guang Xiong Peng ◽  
Ming Yan Wang ◽  
Shu Yue He ◽  
Shu Lan Shu
Keyword(s):  
Remote Sensing ◽  
Empirical Formula ◽  
Thermal Infrared ◽  
Average Error ◽  
Geological Significance ◽  
Transient Electromagnetic ◽  
Metallogenic Prediction ◽  
Infrared Data

The remote sensing measurement of the surface SiO2content has important geological significance .An empirical formula for estimate SiO2content was established based on the correlation between ASTER thermal infrared data and tested Si element from NITON sites in Abra, Australia. The average error of estimated SiO2content is about 15%. ASTER silica alteration derived from SiO2content has good indicative function to find galena. Combined with other prospecting factors as bouger gravity, transient electromagnetic and so on, three vision prospecting targets were optimized, which need more exploration works.

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