Remote Sensing Extraction of Alteration Anomaly Information and Uranium Prospects Prediction in Vegetation Areas:A Case Study of Uranium Exploration in Zhuguangshan District
Located in the central segment of the Nanling metallogenic belt,Zhuanguangshan region is a significant uranium mineralization cluster and production base in China.However,the vegetation is a challenge to the application of remote sensing technology.Based on Landsat8 OLI and Sentinel-2A MSI data,this study applied a normalized difference vegetation index mask to identify areas with high vegetation coverage.Low vegetation coverage areas were suppressed by selecting the red and near-infrared bands.Additionally,a support vector machine classification method was employed to mask other interference factors,such as artificial building groups,to form a set of masks and suppression methods for vegetation coverage district.The study also leveraged the reflectance spectral characteristics of metamorphic minerals closely linked to uranium mineralization in the study area,including muscovite,phlogopite,chlorite,hematite,and goethite.Specific wavelength ratios were selected,combined with PCI(Principal Component Analysis)to extract hydroxyl and iron-oxides alteration anomaly information.This method led to the delineation of two new exploration targets.Field validation indicated a high degree of consistency between the discovered uranium deposits and the altered anomaly information.The favorable prospecting areas also exhibit significant developed alteration minerals such as limonite,hematite,and hydroxyl mica,and is believed potential for further uranium exploration.
uranium depositvegetation-covered districtalteration anomaly informationLandsat8 and Sentinel-2A dataZhuguangshan region
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