Abstract
Based on geological background of the workspace, this study determined possible mineralization and alteration types and alteration combinations after analysis; extracted targeted remote sensing anomalies related to the mineralization in the study area; obtained the alteration types corresponding to the mineralization by sorting out the achieved mineralization clues and categories of altered minerals according to the basic geological information; selected appropriate data and reliable algorithm to extract remote sensing alteration information by analyzing the discernible diagnostic spectral characteristics through the mineral and alteration identification physical basics. It also made extensive significant analysis through the combination of remote sensing information about anomalies and deposit type, stratum, tectonic feature etc., as well as previous geophysical and geochemical data and delineated anomalies. Taking into consideration the basic geological background and the distribution conditions of contact metsomatic deposits, hydrothermal deposits and porphyry deposits, the delineation of anomalies is of certain significance for the regional two-dimensional metallogenic prediction and the determination of prospecting targets.
This work was supported by the Geological Survey of China Geological Survey Project Dynamic (12120113090000).
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Zhang, M. et al. (2015). Correlation Analysis of Extraction Mechanism of Remote Sensing Anomaly with Mineralization and Ore-Controlling-Illustrated by the Case of Qimantage Area, Qinghai Province. In: Bian, F., Xie, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. GRMSE 2014. Communications in Computer and Information Science, vol 482. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45737-5_47
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DOI: https://doi.org/10.1007/978-3-662-45737-5_47
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