Characterization of the hydrothermal systems associated with Archean VMS-mineralization at Panorama, Western Australia, using hyperspectral, geochemical and geothermometric data

Ruitenbeek, F.J.A. van; Cudahy, Thomas; Meer, Freek D. van der; Hale, Martin

doi:10.1016/j.oregeorev.2011.07.001

Cited by 59 publications

(14 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In recent literature has been proven that NIR can be applied in metamorphic geology, on identification of hydrothermal or to distinguish the metamorphic grade of low to medium grade metamorphism i.e. greenschist to amphibolite facies alterations (Duke, 1994;Longhi et al, 2000;Herrmann et al, 2001;Sun et al, 2001;Doublier et al, 2010;Duke & Lewis, 2010;Ruitenbeek et al, 2012;Dalm et al, 2014;Abweny et al, 2016;Kamps et al, Volume 55 2018;Shi et al, 2018). According to Shi et al (2018), spectral characteristics of glaucophane can be identified in the NIR region and consequently the blueschist metamorphism can be recognized.…”

Section: Discussionmentioning

confidence: 99%

Application of Near-Infrared Spectroscopy for the identification of rock mineralogy from Kos Island, Aegean Sea, Greece

Kokkaliari

Iliopoulos

2020

geosociety

View full text Add to dashboard Cite

Near-Infrared spectroscopy (NIR) is a useful tool for direct and on-site identification of rock mineralogy in spite of the difficulties arising in spectral evaluation, due to limited availability of spectral libraries at the time. Especially in the field, a functional methodology for the identification and evaluation if possible, of the geologic materials, is of interest to many researchers. However, several different parameters (such as grain size, color, mineralogy, texture, water content etc.) can affect the spectroscopic properties of the samples resulting in spectral variability. The subject of the present work focuses in various lithotypes (monzodiorite, diorite, altered diorite, actinolite schist, cataclasite, slate) from Kos Island, Aegean Sea, in Greece, all bearing hydrous minerals in various amounts. The evaluation of the results obtained from NIR spectroscopy offered important qualitative information about the mineralogy of the lithotypes examined. The important asset of the method is that no sample preparation was necessary. From the reflectance spectra, the NIR-active minerals that were identified include chlorite, micas, amphiboles and epidotes. Petrographic and mineralogic analyses were also employed in order to confirm the NIR results and provide more detailed information about the mineralogy of the samples, the grain size and the orientation of the minerals. Correlation of wavelength positions at ~1400 nm with loss on ignition (LOI) values led us to relate the various lithotypes in terms of their petrological affinities. NIR spectroscopy was proved to be a useful tool, especially for the mineralogic identification of rocks underwent low- to medium grade metamorphism, from greenschist to amphibolite facies.

show abstract

Section: Discussionmentioning

confidence: 99%

Application of Near-Infrared Spectroscopy for the identification of rock mineralogy from Kos Island, Aegean Sea, Greece

Kokkaliari

Iliopoulos

2020

geosociety

View full text Add to dashboard Cite

show abstract

“…Then, we used the Spectral Analyst of ENVI 4.8 to analyze quantitatively spectra with the reference spectral library of the United States Geological Survey (USGS), and the ENVI 4.8 software platform was used to transform the spectral curve data into a spectral library. Finally, the spectral characteristics and mineral identification of every curve were individually analyzed using the spectral library of the United States Geological Survey (USGS) via visual interpretation analysis data to more accurately confirm minerals once again, and to examine these spectra after Spectral Analyst of ENVI [7,28], according to the data processing workflow in Figure 4. The spectral characteristics were analyzed in terms of the form of each spectral curve, the wavelength location of the main absorption peak, and the combination features of the absorption peak.…”

Section: Working Methodsmentioning

confidence: 99%

Hyperspectral Alteration Information from Drill Cores and Deep Uranium Exploration in the Baiyanghe Uranium Deposit in the Xuemisitan Area, Xinjiang, China

Liu

et al. 2017

Remote Sensing

View full text Add to dashboard Cite

Abstract:The Baiyanghe uranium deposit is a currently important medium-sized deposit in the Xuemisitan area, Xinjiang. The hydrothermal alteration in this deposit is closely related to the uranium mineralization of the deposit. In this study, hyperspectral data are collected from drill cores in the Baiyanghe uranium deposit using a FieldSpec4 visible-shortwave infrared spectrometer to study the hydrothermal alteration. The results reveal that the altered mineral assemblages have obvious zonation characteristics: (1) the upper section comprises long-wavelength illite and minor hematite and montmorillonite; (2) the middle section contains three types of illite (long-, mediumand short-wavelength illite) and hematite; and (3) the lower section includes short-wavelength illite, chlorite and carbonate. Additionally, the variety in the characteristic absorption-peak wavelength of illite at 2200 nm gradually shifts to shorter wavelength and ranges between 2195 nm and 2220 nm with increasing depth, while the SWIR-IC (short-wavelength infrared illite crystallinity, a dimensionless quantity) of the drill holes gradually increases from 0.2 to 2.1. These patterns reflect the hydrothermal fluid activity in the deposit, which features relatively high-temperature, high-pressure hydrothermal fluid in the deeper section and low-temperature, low-pressure hydrothermal fluid in the shallower section. Additionally, the uranium mineralization is located near the fracture zone, which represents the center of hydrothermal fluid activity or mineralization. This area has abundant alteration minerals, and the minerals illite (short-and medium-wavelength), hematite and fluorite can be used as uranium-prospecting indicators for uranium exploration in the deeper sections of the Baiyanghe uranium deposit.

show abstract

“…Remote sensing satellite imagery has high potential to provide a solution to overcome the problems and limitations associated with geological field mapping and mineral exploration. Recent development of multi-spectral remote sensing systems such as the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) have shown the application of remote sensing satellite imagery for geological mapping with various purposes in the world (Di Tommaso & Rubinstein, 2007;Liu, Zhou, Jiang, Zhuang, & Mansaray, 2014;Masoumi, Eslamkish, Abkar, Honarmand, & Harris, 2017;Pour, Hashim, Hong, & Park, 2017;Van Ruitenbeek, Cudahy, Van der Meer, & Hale, 2012). The interpretation of satellite images for geological mapping is normally based on the indirect evidence that can be visible at the surface (Pour, Hashim, & Marghany, 2011).…”

Section: Introductionmentioning

confidence: 99%

Lithological mapping in Sangan region in Northeast Iran using ASTER satellite data and image processing methods

Rezaei

Hassani

Moarefvand

et al. 2019

Geology, Ecology, and Landscapes

View full text Add to dashboard Cite

Lithological mapping using satellite images, particularly the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data help in effectively defining the best initial targets for regional exploration. ASTER data allow for the discrimination of rock units in the broader region. This research work is focused on the use of remote sensing techniques for geological mapping using ASTER satellite image and generating a geological map of Sangan region. The study area is located in southeast of Khorasan-e-Razavi province and at the eastern edge of the Khaf-Kashmar-Bardskan Volcano-Plutonic Metallogenic Belt in northeast Iran. Band ratio (BR), spectral angle mapper (SAM) and support vector machines (SVMs) methods were used for classifying the main lithologic units in Sangan region. The results of BR, SAM and SVM techniques were quantitatively compared with geological boundaries mapped in the field showing an accuracy of nearly 79 %. SVMs method, in comparison to conventional methods of classification, was known to provide superior results. As the final result of this research, integration of remote sensing and field investigations led to generating high accuracy geological map in the Sangan region. Application of the methods has invaluable implications for geological mapping and mineral exploration in inaccessible regions.

show abstract

Characterization of the hydrothermal systems associated with Archean VMS-mineralization at Panorama, Western Australia, using hyperspectral, geochemical and geothermometric data

Cited by 59 publications

References 37 publications

Application of Near-Infrared Spectroscopy for the identification of rock mineralogy from Kos Island, Aegean Sea, Greece

Application of Near-Infrared Spectroscopy for the identification of rock mineralogy from Kos Island, Aegean Sea, Greece

Hyperspectral Alteration Information from Drill Cores and Deep Uranium Exploration in the Baiyanghe Uranium Deposit in the Xuemisitan Area, Xinjiang, China

Lithological mapping in Sangan region in Northeast Iran using ASTER satellite data and image processing methods

Contact Info

Product

Resources

About