Next Article in Journal
Climate Change and Future Fire Regimes: Examples from California
Next Article in Special Issue
Regional Lithological Mapping Using ASTER-TIR Data: Case Study for the Tibetan Plateau and the Surrounding Area
Previous Article in Journal
Getting Ahead of the Wildfire Problem: Quantifying and Mapping Management Challenges and Opportunities
Previous Article in Special Issue
Utilizing HyspIRI Prototype Data for Geological Exploration Applications: A Southern California Case Study
Article Menu

Export Article

Open AccessArticle
Geosciences 2016, 6(3), 36;

Identification of Multi-Style Hydrothermal Alteration Using Integrated Compositional and Topographic Remote Sensing Datasets

Department of Geographical, Environment and Earth Sciences, University of Hull, Hull HU6 7RX, UK
British Geological Survey, Keyworth, British Geological Survey, Keyworth, Nottingham NG12 5GG, UK
Institute of Geodynamics, National Observatory of Athens, Lofos Nymfon, Thission, P.O. Box 20048, 11810 Athens, Greece
Geography and Earth Systems Science, University of Derby, Kedleston Road, Derby DE22 1GB, UK
Author to whom correspondence should be addressed.
Academic Editors: Kevin Tansey and Stephen Grebby
Received: 29 April 2016 / Revised: 29 June 2016 / Accepted: 9 July 2016 / Published: 29 July 2016
Full-Text   |   PDF [28611 KB, uploaded 29 July 2016]   |  


The western part of the island of Milos, Greece has undergone widespread, intense alteration associated with a range of mineralization, including seafloor Mn-Fe-Ba, sub seafloor Pb-Zn-Ag, and epithermal Au-Ag. The surrounding country rocks are a mixture of submarine and subaerial calc-alkaline volcanic rocks ranging from basaltic andesite to rhyolite in composition, but are predominantly andesites and dacites. The current surface spatial distribution of the alteration mineralogy is a function not only of the original hydrothermal, but also subsequent tectonic and erosional processes. The high relief and the excellent rock exposure provide ideal conditions to evaluate the potential of Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) satellite remote sensing data to identify and differentiate the different styles of alteration mineralisation. Laboratory spectral reflectance and calculated emittance measurements of field samples, supported by XRD analysis and field mapping, were used to support the analysis. Band ratio and spectral matching techniques were applied to the shortwave-infrared (SWIR) reflectance and thermal-infrared (TIR) emissivity imagery separately and were then integrated with topographic data. The band ratio and spectral matching approaches produced similar results in both the SWIR and TIR imagery. In the SWIR imagery, the advanced argillic, argillic and hydrous silica alteration zones were clearly identifiable, while in the TIR imagery, the silicic and advanced argillic alteration zones, along with the country rock, were differentiable. The integrated mineralogical–topographic datasets provided an enhanced understanding of the spatial and altitude distribution of the alteration zones when combined with conceptual models of their genesis, which provides a methodology for the differentiation of the multiple styles of alteration. View Full-Text
Keywords: hydrothermally altered rocks; Milos; ASTER; SWIR; TIR; remote sensing; topography hydrothermally altered rocks; Milos; ASTER; SWIR; TIR; remote sensing; topography

Figure 1

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).

Share & Cite This Article

MDPI and ACS Style

Ferrier, G.; Naden, J.; Ganas, A.; Kemp, S.; Pope, R. Identification of Multi-Style Hydrothermal Alteration Using Integrated Compositional and Topographic Remote Sensing Datasets. Geosciences 2016, 6, 36.

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



[Return to top]
Geosciences EISSN 2076-3263 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top