Extraction of geological structural and alteration information and the prediction of metallogenic favorable locations in northeastern Jeddah, Saudi Arabia
1. China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, Beijing 100083, China 2. School of Earth Sciences and Resources, China University of Geosciences(Beijing), Beijing 100083,China 3. University of Chinese Academy of Sciences, Beijing 100049, China
Northeastern Jeddah area of Saudi Arabia is located in Africa-Arab metallogenic area, which is characterized by rich mineral resources, complex geological structure and magmatic hydrothermal activities, thus having well-developed polymetallic mineralization and tremendous metallogenic potential. For the purpose of further prospecting for polymetallic areas and delineating favorable targets, the authors used the Landsat8 images to interpret linear-ring structures in the whole study area, and employed the “principal component analysis-optimal density segmentation” method by using iron mineralization alteration anomaly to extract polymetallic deposits. Based on the comprehensive analysis, the authors studied the remote sensing image geological characteristics of 7 iron mineralization alteration zones in the study area and selected favorable metallogenic linear-ring structures to predict the favorable location of prospecting in the northeastern Jeddah area of Saudi Arabia. Three iron prospective areas were delineated. GF-2 and Google Earth images were used to verify the prediction of metallogenic favorable sites in northeastern Jeddah of Saudi Arabia. The results obtained further prove that the magmatic intrusion in the annular tectonic zone and the fracture junction are favorable places for metallogenesis in the study area. The results obtained by the authors could provide the reference for the further prospecting prediction in this region.
马鸿霖, 贾伟洁, 付长亮, 李伟. 沙特阿拉伯吉达东北部地质构造与蚀变信息提取及找矿有利部位预测[J]. 国土资源遥感, 2019, 31(3): 174-182.
Honglin MA, Weijie JIA, Changliang FU, Wei LI. Extraction of geological structural and alteration information and the prediction of metallogenic favorable locations in northeastern Jeddah, Saudi Arabia. Remote Sensing for Land & Resources, 2019, 31(3): 174-182.
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