Extraction of Remote Sensing Anomaly and Metallogenic Prediction in Duolong Ore-Concentrated Area of Tibet
Xiaojuan Bie
Abstract
Xiaojuan Bie
Abstract
The information of mineralization and alteration can be extracted from the data of ETM + and ASTER,studied by many researchers.In order to get the effective information of the porphyry copper deposit in Duolong,ratio method and principal component analysis are used to extract the abnormal information from the data of ETM + and ASTER.In this way,abnormal features of a known orebody are well studied.Spectral classification of target area is researched by the method of spectral characteristics fitting.Based on both studies,metallogenic prediction of ore-concentrated area in Duolong is made,and the vision of metallogenic province is well delimited.All enriches remote sensing anomaly on the orebody.
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The information of mineralization and alteration can be extracted from the data of ETM + and ASTER,studied by many researchers.In order to get the effective information of the porphyry copper deposit in Duolong,ratio method and principal component analysis are used to extract the abnormal information from the data of ETM + and ASTER.In this way,abnormal features of a known orebody are well studied.Spectral classification of target area is researched by the method of spectral characteristics fitting.Based on both studies,metallogenic prediction of ore-concentrated area in Duolong is made,and the vision of metallogenic province is well delimited.All enriches remote sensing anomaly on the orebody.
Key concepts: Geology, Advanced Spaceborne Thermal Emission and Reflection Radiometer, Mineralization (soil science), Principal component analysis, Anomaly (physics), Porphyry copper deposit, Remote sensing, Mining engineering