Many gold mines in China and even around the world are in close relationship to silicification

and the more silicification

the more mineralization.But geological researches on silicification about alteration’s degree and scope only stand still and keep qualitative for a long time

and still yet very seldom quantitative Remote Sensing Models have been set up.Therefore

we choose Yingzuishan goldmine which is complex and has many kinds of wall rock alterations in the research area

aiming to set up quantitative Remote Sensing Model for silicification.By cluster analysis

correlation analysis and factor analysis etc

and also by the use of in situ spectral survey data and the results of rock

&

minerals component analysis and microanalysis of Au etc

finally we found out the optimal variable sets to extract the silicification information

and set up the Linear Regression Equation of them:SiO

2

=85.047TM5/TM7-4.348TM5/TM4+16.51TM5/TM3-41.866 R=0.703

which just was the quantitative Remote Sensing Model for silicificaion we wanted.With the help of this model

we took an enhance ment treatment for Remote Sensing data of Landsat TM and extracted out gold mineralization abnormal information in this area.Through actual verification

the proved the results have good correspondence to the actual condition.This model can also provide reference to geological investigation and prospecting for goldmines in those area with the similar geologic background as Yingzuishan

such as in the east of Altun mountain and the west of Northern Qilianshan mountain

where early Paleozoic sea facies volcanic rocks spread widely.