Next Article in Journal
Copper Isotope Constraints on the Genesis of the Keweenaw Peninsula Native Copper District, Michigan, USA
Previous Article in Journal
A Novel Eco-Friendly Vanadium Precipitation Method by Hydrothermal Hydrogen Reduction Technology
Previous Article in Special Issue
Further Investigations on Simultaneous Ultrasonic Coal Flotation
Article Menu
Issue 10 (October) cover image

Export Article

Open AccessArticle
Minerals 2017, 7(10), 184; https://doi.org/10.3390/min7100184

Remote Sensing for Mineral Exploration in Central Portugal

1
GeoBioTec, NOVA University of Lisbon , Quinta da Torre, 2829-516 Caparica, Portugal
2
Faculty of Sciences and Technology, NOVA University of Lisbon, Quinta da Torre, 2829-516 Caparica, Portugal
3
Ozdogu Portugal Mining and Exploration Lda., 2710-444 Sintra, Portugal
*
Author to whom correspondence should be addressed.
Received: 28 August 2017 / Revised: 22 September 2017 / Accepted: 25 September 2017 / Published: 29 September 2017
Full-Text   |   PDF [28481 KB, uploaded 13 October 2017]   |  

Abstract

Central Portugal is well known for the existence of Sn-W and Au-Ag mineral occurrences primarily associated with hydrothermal processes. Despite the economic and strategic importance of such occurrences, the detailed geology of this particular region is poorly known and there is an obvious absence of geological mapping at an adequate scale. Remote sensing techniques were used in order to increase current geological knowledge of the Góis–Castanheira de Pêra area (600 km2) and to guide future exploration stages by targeting and prioritising potential locations. Digital image processing algorithms, such as Red, Green, Blue (RGB) colour composites, digital spatial filters, band ratios and Principal Components Analysis, were applied to Landsat 8 imagery and elevation data. Lineaments were extracted relying on geological photointerpretation criteria, allowing the identification of new geological–structural elements. Fieldwork was carried out in order to validate the remote sensing interpretations. Integration of remote sensing data with other information sources led to the definition of locations possibly suitable for hosting Sn-W and Au-Ag mineral occurrences. These areas were ranked according to their mineral potential. Targeting the most promising locations resulted in a reduction to less than 10% of the original study area (50.5 km2). View Full-Text
Keywords: remote sensing; mineral exploration; lineaments; digital image processing; Portugal; gold; tin; tungsten remote sensing; mineral exploration; lineaments; digital image processing; Portugal; gold; tin; tungsten
Figures

Graphical abstract

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Manuel, R.; Brito, M.G.; Chichorro, M.; Rosa, C. Remote Sensing for Mineral Exploration in Central Portugal. Minerals 2017, 7, 184.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Minerals EISSN 2075-163X Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top