Abstract:

The Hongshishan area of Inner Mongolia is located in the East Tianshan-Xing’an metallogenic belt and has good metallogenic conditions. However, poor natural conditions and low level of basic geological survey restrict mineral exploration in this area, so it is of great significance to use remote sensing to conduct polymetallic prospecting. OLI data were used in this study, and the mineralization anomalies such as iron stain and hydroxyl group were extracted by mask, lossless linear stretching, eigenvector principal component transformation, density segmentation, anomaly filtering, while the fracture information was extracted by pseudo-color synthesis and linear stretching. Based on the multivariate information, two target areas were delineated and one of them was further explored. High-resolution PLEIADES data, image fusion, color synthesis, histogram stretching and other methods were used to delineate the giant quartz veins in key exploration areas. On the basis of remote sensing interpretation, the field investigation proves that there are several mineralization points in the key exploration area. This study shows that the combination of medium-resolution OLI data and high-resolution PLEIADES data can greatly improve the efficiency of geological prospecting, which has important guiding significance for further prospecting in this area.

Key words: remote sensing prospecting, Hongshishan, OLI, PLEIADES, polymetallic deposit