Research on prediction method of weight percent SiO2 of rocks based on the thermal infrared data acquired by ground spectrometer

2021 ◽  
Author(s):  
Junhu Wang ◽  
Fawang Ye ◽  
Bangjie Guo ◽  
Ding Wu
Keyword(s):  
Prediction Method ◽  
Thermal Infrared ◽  
Weight Percent ◽  
Percent Sio2 ◽  
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.

scholarly journals A Study on the Applicability of Thermal Infrared Data on the Rock Fall Investigation.

1992 ◽  
Vol 31 (5) ◽  
pp. 11-21
Author(s):  
Masahiro SETOJIMA ◽  
Tetsunori DOI ◽  
Yukio AKAMATSU ◽  
Masaru MORI
Keyword(s):  
Thermal Infrared ◽  
Rock Fall ◽  
Infrared Data
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