Minerals Positioning Prediction By Integrating RS And Geochemical Information For Western High And Cold Mountainous Areas

The high and cold mountainous areas in West China are metallogenic provinces of great ore prospecting potential, and exploring and assessing the mineral resources in the areas to turn resource advantages into economic advantages is one of most valuable approaches in terms of boosting the economy of West China. However, harsh natural environments hinder us to go there for ore prospecting. As a result, it is of great significance to explore techniques suitable for mineral resources prospecting and assessment in these areas to improve geologic prospecting efficiency. With Wulan and Dulan in Qinghai as the regions of interest, by adopting multispectral remote sensing information extraction techniques, alteration information related to metalliferous mineralization was extracted from ETM images; various data processing methods were employed to process the stream sediment data to delineate geochemical anomalies; based on the matching and coupling relationships between multivariate geosciences information, integrated processing and relevance analysis were conducted for RS information and geochemical prospecting information; by using GIS spatial analysis techniques, target area positioning predication and assessment were conducted for major metallic minerals in the areas of interest; and as a whole, a combination of effective techniques of comprehensive positioning prediction by integrating RS and geochemical prospecting information and its work flow were formed which are suitable for the high and cold mountainous areas in West China. Major findings are as follows: 1. Based on a geologic concept model for regional metallogery, rock-mineral spectra mechanism and characteristic analysis, by adopting principal component analysis and SVM techniques, alteration information related to metalliferous mineralization was extracted from multispectral remote sensing images; based on optimum slicing method and Fisher criterion, a new anomaly grading method, i.e., optimum density slicing method, was derived, which helps to avoid threshold selection and man-made influence. 2. Based on geochemistry zonation, by adopting multiple fractal method, iteration, cluster analysis, and principal factor analysis, stream sediment data were processed and analyzed, which revealed the spatial distribution of geochemical element contents and helped to delineate the geochemical anomalies; by employing metallogenic energy and a system core degree theory, anomalies related to mineralization was screened out, which provided important information for integrated positioning predication. 3. Based on the matching and coupling relationships between multivariate geoscience...