Integrating geospatial data and multi-criteria analysis for mapping and evaluating the mineralization potential of the Dschang pluton (Western Cameroon)

IF 2.7 4区 地球科学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Eric Martial Fozing, Jules Tcheumenak Kouémo, Sawadogo Sâga, Boris Chako Tchamabé, Safianou Ousmanou, Staelle Foka Koagne, Marie Madeleine Nguimezap, Maurice Kwékam
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引用次数: 0

Abstract

The Dschang area has substantial mineral and geological exploration potentialities. However, its basement is unclear due to lack of studies on mineral and lithology mapping, and other mineralization indices. The lithological units and potential hydrothermal alteration zones in the Dschang area are investigated here using remote sensing; geographic information systems (GIS); and statistical analysis which are essential method for geological exploration. Landsat 9 OLI, ASTER data using False Color Composites (FCC), Band Ratios (BRs), Principal Component Analysis (PCA), Spectral Angle Mapper (SAM), fuzzy-logic methods, and field observations are used to identify the rocks units and potential mineralization. The integration o these multiple methods allowed the identification of orthogneiss, granites and basalts with iron-oxides, hydroxyl and ferrous bearing as potential mineralization in the Dschang area. The Evaluation of the fuzzy membership of each alteration mineral from Landsat 9 OLI and ASTER data indicates that the highest favorability index varies from 0.8 to 1 indicating a rating index related to iron mineralization. From the statistical analysis of the geochemical data, the calcic, alkaline-calcic, and metaluminous to weakly peraluminous I-type character of the Dschang granites prove their parent magma was fertile for mineralization in Rare Earths, Cu, Sn, Mo, Zn, and Pb. In addition, analysis of lineaments illustrated three structural directions in the area (ENE-WSW to NE-SW, N-S to NNE-SSW, and NW–SE). The innovative aspect of this research is the integration and processing of Landsat 9 OLI, Fuzzy, ASTER, statistical geochemical analysis of previous data, and field investigations, which allows for the identification of rock units and potentially mineralized rock formations and defining exploration targets as well.

Abstract Image

整合地理空间数据和多标准分析,测绘和评估 Dschang 矿床(喀麦隆西部)的成矿潜力
德昌地区具有巨大的矿产和地质勘探潜力。然而,由于缺乏对矿物和岩性测绘以及其他成矿指数的研究,该地区的基底尚不清楚。本文利用遥感、地理信息系统(GIS)和统计分析等地质勘探的基本方法,对茨昌地区的岩性单元和潜在热液蚀变带进行了研究。利用大地遥感卫星 9 OLI、ASTER 数据(使用假彩色合成(FCC)、波段比(BRs)、主成分分析(PCA)、光谱角度成像仪(SAM)、模糊逻辑方法和野外观测来识别岩石单元和潜在矿化。通过对这些方法的整合,确定了正长片麻岩、花岗岩和玄武岩中的铁氧化物、羟基和含铁成分为 Dschang 地区的潜在矿化物。根据 Landsat 9 OLI 和 ASTER 数据对每种蚀变矿物进行的模糊成员评价表明,最高有利指数在 0.8 至 1 之间,表明评级指数与铁矿化有关。从地球化学数据的统计分析来看,德昌花岗岩的钙质、碱钙质、金属铝质至弱过铝质 I 型特征证明其母岩具有富含稀土、铜、锡、钼、锌和铅的成矿作用。此外,线状分析表明了该地区的三个构造方向(ENE-WSW 至 NE-SW、N-S 至 NNE-SSW 和 NW-SE)。这项研究的创新之处在于整合和处理了 Landsat 9 OLI、Fuzzy、ASTER、以往数据的地球化学统计分析以及实地调查,从而确定了岩石单元和潜在矿化岩层,并确定了勘探目标。
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来源期刊
Earth Science Informatics
Earth Science Informatics COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-GEOSCIENCES, MULTIDISCIPLINARY
CiteScore
4.60
自引率
3.60%
发文量
157
审稿时长
4.3 months
期刊介绍: The Earth Science Informatics [ESIN] journal aims at rapid publication of high-quality, current, cutting-edge, and provocative scientific work in the area of Earth Science Informatics as it relates to Earth systems science and space science. This includes articles on the application of formal and computational methods, computational Earth science, spatial and temporal analyses, and all aspects of computer applications to the acquisition, storage, processing, interchange, and visualization of data and information about the materials, properties, processes, features, and phenomena that occur at all scales and locations in the Earth system’s five components (atmosphere, hydrosphere, geosphere, biosphere, cryosphere) and in space (see "About this journal" for more detail). The quarterly journal publishes research, methodology, and software articles, as well as editorials, comments, and book and software reviews. Review articles of relevant findings, topics, and methodologies are also considered.
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