基于资源一号02D高光谱数据的甘肃北山前红泉地区蚀变矿物填图及特征分析
Altered mineral mapping and characteristic analysis in Qianhongquan Area,Beishan,Gansu Province,based on hyperspectral data from the ZY-1 02D satellite
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摘要: 高光谱遥感技术以其高光谱分辨率和广谱段覆盖,在地质找矿领域展现出重要的应用潜力。该文以甘肃北山前红泉金矿为研究区,利用资源一号02D AHSI高光谱遥感数据,结合自主研发的GeoAHSI高光谱矿物填图技术,对金矿区的蚀变矿物进行填图和成分分析,揭示其空间分布特征。通过地面光谱测量技术对典型剖面的光谱数据进行验证,以评估高光谱矿物填图的可靠性。研究发现,前红泉金矿及其围岩中发育的主要蚀变矿物包括绢云母(低铝白云母、中铝白云母、高铝白云母和富铁白云母)、方解石、白云石、绿帘石和绿泥石等,这些蚀变矿物的分布与韧性剪切带密切相关,尤其是绢云母、绿泥石和绿帘石在韧性剪切带中的分布特征尤为显著,这一分布规律为区域找矿提供了重要的指示标志。此外,研究发现绢云母的2 200 nm吸收特征和绿泥石的2 250 nm吸收特征在矿体周围表现出明显的富硅(Si)和富铁(Fe)特征,这些特征与矿物的化学成分密切相关。该研究通过增强弱光谱特征的识别能力,实现了高光谱遥感技术在矿物识别与空间分布分析中的有效应用。这不仅为前红泉金矿的进一步勘查提供了科学依据,也为类似矿床的高光谱遥感应用提供了参考和指导。Abstract: Hyperspectral remote sensing (HRS) technology,with its high spectral resolution and extensive spectral coverage,demonstrates significant potential in geological prospecting. Focusing on the Qianhongquan gold deposit in the Beishan orogenic belt,Gansu Province,this study conducted altered mineral mapping and component analysis,using HRS data from the AHSI sensor on the ZY-1 02D satellite and the self-developed hyperspectral mineral mapping technique,GeoAHSI,revealing their spatial distribution characteristics. Besides,ground-based spectral measurements were conducted on typical profiles to validate the spectral data,thereby assessing the reliability of the hyperspectral mineral mapping results. The results indicate that the primary altered minerals in the Qianhongquan gold deposit and its surrounding rocks include sericites (low-aluminum,medium-aluminum,high-aluminum,and iron-rich muscovites),calcites,dolomites,epidotes,and chlorites. Their distribution is closely related to ductile shear zones,with the distribution of sericites,chlorites,and epidotes being particularly significant within these zones. This spatial correlation provides critical indicators for regional prospecting. Additionally,it was observed that the 2 200 nm absorption feature of sericites and the 2 250 nm absorption feature of chlorites exhibit marked enrichment in silicon (Si) and iron (Fe) around ore bodies,which is closely correlated to the chemical compositions of the minerals. By enhancing the identification of weak spectral features,this study successfully applied HRS technology to mineral identification and spatial distribution analysis. These findings provide a scientific basis for further exploration of the Qianhongquan gold deposit and offer valuable references and guidance for the application of HRS in similar deposits.
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