Remote sensing and GIS prospectivity mapping for magmatic-hydrothermal base- and precious-metal deposits in the Honghai district, China

Wang, Gongwen, Du, Wenhui, and Carranza, Emmanuel John M. (2017) Remote sensing and GIS prospectivity mapping for magmatic-hydrothermal base- and precious-metal deposits in the Honghai district, China. Journal of African Earth Sciences, 128. pp. 97-115.

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Abstract

In this paper, we constructed an exploration target model for volcanogenic massive sulfide and hydro thermal deposits in Honghai district (China) using moderate resolution ETM+, ASTER, and hyperspectral Hyperion images and high resolution ZY-3 images, and weights-of-evidence (WofE) analysis and concentration-area (C-A) fractal modeling. The methodology and mapping steps were: (1) ETM + images were used to extract hydroxyl and iron-oxide alterations for identification of linear and ring fault structures and prospective zones in regional scale; (2) ASTER images were used to extract SiO2 index, kaolinite, chlorite, propylite, potassium, carbonate, and limonite alterations for identification of mineralization zones in district scale; (3) hyperspectral Hyperion images were analyzed to identify mineral components for identification of Cu-Au deposit zones in district scale; (4) high resolution ZY-3 images were used to extract geological objects (e.g., volcanic rocks, integration, and linear and ring fault structures) and cross-validate multiple type alterations and their associations with lithological strata based on interpretation of ETM+ and ASTER images; (5) alteration/structural factors and geological objects were integrated for mineral prospectivity mapping by WofE analysis, and mineral prospectivity was classified by (C-A) fractal modeling. Ring faults, iron-oxide alteration, chlorite alteration and silicification are important exploration factors, whereas carbonate alteration, potassic alteration, and linear faults are secondary exploration factors. Ten exploration targets were recognized in the Honghai district.

Item ID: 50565
Item Type: Article (Research - C1)
ISSN: 1879-1956
Keywords: prospectivity mapping, remote sensing image, weights-of-evidence, GIS, concentration-area fractal model, Honghai district
Funders: National Science and Technology Support Project (NSTSP), Fundamental Research Funds for the Central Universities (FRFCU), State Laboratory of Continental Techtonics and Dynamics, National Science Foundation of China (NSFC)
Projects and Grants: NSTSP grant no. 2011BAB04B06, FRFCU grant no. 2-9-2012-143, NSFC grant no. 41572318
Date Deposited: 20 Sep 2017 10:04
FoR Codes: 04 EARTH SCIENCES > 0402 Geochemistry > 040201 Exploration Geochemistry @ 100%
SEO Codes: 84 MINERAL RESOURCES (excl. Energy Resources) > 8401 Mineral Exploration > 840199 Mineral Exploration not elsewhere classified @ 100%
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