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Identifying high potential zones of gold mineralization in a sub-tropical region using Landsat-8 and ASTER remote sensing data: a case study of the Ngoura-Colomines goldfield, Eastern Cameroon

Wambo, Jonas Didero Takodjou and Pour, Amin Beiranvand and Ganno, Sylvestre and Asimow, Paul D. and Zoheir, Basem and dos Reis Salles, Rodrigo and Nzenti, Jean Paul and Pradhan, Biswajeet and Muslim, Aidy M. (2020) Identifying high potential zones of gold mineralization in a sub-tropical region using Landsat-8 and ASTER remote sensing data: a case study of the Ngoura-Colomines goldfield, Eastern Cameroon. Ore Geology Reviews, 122 . Art. No. 103530. ISSN 0169-1368. https://resolver.caltech.edu/CaltechAUTHORS:20200409-142455588

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Abstract

Climatic conditions and vegetation constrain the use of optical satellite imagery as an exploration tool for hydrothermal ore mineralization in tropical and subtropical regions. In this investigation, Landsat-8 and ASTER satellite imagery were used to detect hydrothermal alteration zones associated with gold mineralization in the Ngoura-Colomines region, Eastern Cameroon. The study area contains several gold-bearing quartz veins associated with zones of pyritization, muscovite/sericite, iron oxides, and silicification. Principal Component Analysis (PCA), Independent Component Analysis (ICA), and specialized spectral band ratios were used to extract spectral information related to vegetation, iron oxide/hydroxide minerals, Al–OH, Fe-Mg–OH, carbonate group minerals, and silicification using Landsat-8 data at regional scale. Linear Spectral Unmixing (LSU) algorithm was implemented to ASTER VNIR+SWIR bands for detailed discrimination of hematite, jarosite, kaolinite, muscovite, chlorite and epidote at district scale. The Automated Spectral Hourglass (ASH) technique was employed to extract reference spectra directly from the ASTER bands for producing fraction images of end-members using the LSU. A comprehensive field survey was used to verify the remote sensing results. Petrographic study, X-ray diffraction analysis and reflectance spectroscopy indicated the presence of quartz, goethite and sericite, as well as the absorption features of Fe³⁺/Fe²⁺, Al–OH, OH/H2O and SiO₂ in the alteration zones. Several hydrothermal alteration zones of iron oxide/hydroxide, clay, carbonate minerals and silicification zones were identified, which are spatially associated with known mining areas and gold occurrences in the study area. High potential prospects were also delineated, including the Ngoura-Colomines prospects and the newly discovered Yangamo-Ndatanga and Taparé-Tapondo prospects in the southwestern and southeastern parts of the study area. Consequently, satellite-based mineral prospectivity maps at regional and district scales were generated for the study area by implementing the fuzzy logic model to the most informative thematic layers derived from image processing results. The satellite-based prospectivity maps are reliable for exploration of new gold prospective zones in the Ngoura-Colomines goldfield.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1016/j.oregeorev.2020.103530DOIArticle
ORCID:
AuthorORCID
Asimow, Paul D.0000-0001-6025-8925
Additional Information:© 2020 Elsevier B.V. Received 19 February 2019, Revised 14 February 2020, Accepted 7 April 2020, Available online 8 April 2020.
Subject Keywords:Landsat-8; ASTER; Hydrothermal alteration; Gold exploration; Sub-tropical region; Eastern Cameroon
Record Number:CaltechAUTHORS:20200409-142455588
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20200409-142455588
Official Citation:Jonas Didero Takodjou Wambo, Amin Beiranvand Pour, Sylvestre Ganno, Paul D. Asimow, Basem Zoheir, Rodrigo dos Reis Salles, Jean Paul Nzenti, Biswajeet Pradhan, Aidy M. Muslim, Identifying high potential zones of gold mineralization in a sub-tropical region using Landsat-8 and ASTER remote sensing data: A case study of the Ngoura-Colomines goldfield, eastern Cameroon, Ore Geology Reviews, Volume 122, 2020, 103530, ISSN 0169-1368, https://doi.org/10.1016/j.oregeorev.2020.103530. (http://www.sciencedirect.com/science/article/pii/S0169136819301544)
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:102464
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:09 Apr 2020 21:44
Last Modified:16 Apr 2020 14:57

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