Alteration Mapping for Porphyry Copper Exploration Using ASTER and QuickBird Multispectral Images, Sonajeel Prospect, NW Iran

Yazdi, Zahra; Rad, Alireza Jafari; Aghazadeh, Mehraj; Afzal, Peyman

doi:10.1007/s12524-018-0811-1

Cited by 13 publications

(4 citation statements)

References 28 publications

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“…ASTER is a multispectral sensor launched in 1999 onboard the Earth Observing System (EOS) Terra platform. The usefulness of ASTER data has been proved for mineral exploration and geological mapping by several studies (e.g., Mars and Rowan 2011;Rajendran and Nasir 2013b;Ninomiya and Fu 2016;Yazdi et al 2018;Abdelkareem and El-Baz 2018;Shi et al 2020;Khan et al 2020;Beirami and Tangestani 2020). ASTER sensor has relatively ameliorated spatial, spectral, and temporal resolutions compared to most other multispectral sensors such as Landsat.…”

Section: Data Acquisition and Pre-processingmentioning

confidence: 99%

An integrated ASTER-based approach for mapping carbonatite and iron oxide-apatite deposits

Malainine

Raji

Ouabid

et al. 2021

Geocarto International

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Mapping of carbonatites and related mineral deposits has occupied prominent place in mineral resource exploration programs given their potential to host valuable concentrations of critical metals such as rare earth elements and niobium. Based on spectral characteristics of most indicative minerals for these rocks, a mapping approach was developed using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data. The combination of band rationing outcomes with components from the principal component analysis and minimum noise fraction techniques highlighted the targeted rocks, with the excellent prospective zone representing ~ 0.2% of the total investigated area. This approach was successfully applied to the Gleibat Lafhouda complex to rapidly delineate carbonatites and iron oxide-apatite ore outcrops. Results were validated through field observations and in-situ geochemical analysis using a portable X-ray fluorescence analyzer. Field data have also served as training data to perform a supervised classification, allowing further improvement of the mapping results.

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Section: Data Acquisition and Pre-processingmentioning

confidence: 99%

An integrated ASTER-based approach for mapping carbonatite and iron oxide-apatite deposits

Malainine

Raji

Ouabid

et al. 2021

Geocarto International

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“…The most common uses of satellite remote sensing data for regional-scale mineral survey projects in the past decade have been mineral discovery via hydrothermal alteration and mapping of structural geology [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16]. The phyllic alteration region is typically defined by pyritequartz-sericite rocks with a high OH-Al absorbance peak at 2.20 μm, which corresponds to Advanced Spaceborne Thermal Emission and Reflection Radiometer band 6 [3].…”

Section: Introductionmentioning

confidence: 99%

Mapping Hydrothermal Alteration Zones Associated with Copper Mineralization using ASTER Data: A Case Study from the Mirjaveh Area, Southeast Iran

Nasab

Agah

2023

IJE

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In this research, ASTER satellite images and the combined algorithm of band ratios with the method of logical operators with the determination of the threshold limit based on ground, laboratory and experimental studies have been used in order to highlight hydrothermal alterations. Image transformation techniques such as specialized band ratio and principal component analysis are used to map lithologic units and alteration minerals. Supervised classification technique, i.e. Spectral Angle Mapper (SAM) is applied to detect subtle differences between index alteration minerals associated with actual copper localities in the region. The results show that the integration of image transformation techniques and supervised classification of ASTER data with field studies and geochemical exploration is highly effective in targeting new copper mineralization prospects. Copper mineralization is found in siliceous veins that strike from north-south to northeast-southwest across the region. Remote sensing evidence supports the presence of propylitic and argillic alteration, which can be useful for searching for coppergold type deposits. Kaolinite and pyrophyllite play a role in identifying arzilic alteration zones, and muscoite, epidote and chlorite minerals are very important in identifying pyropilitic and phyllic areas and in mineral exploration. Based on remote sensing processing, according to the detection of various alterations (phyllic, pyrophyllite and argillic) in this area, possible copper mineralization was detected in the central part of the studied area. The approach used in this research provides a quick and costeffective means of initiating comprehensive geological and geochemical exploration programs in the study area and elsewhere in similar areas.

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“…Remote sensing data have been utilized to recognizing and mapping of different alteration zones. The potential of the recognition by remote sensing data was based on the wavelength variety and spectral power identification of their sensors (Abrams et al, 1983;Rutz-Armenta and Prol-Ledesma, 1998;Corumluoglu, et al, 2015;Yazdi et al, 2018;Hamed et al, 2020;Vural et al, 2015;Vural and Aydal 2020). The short wave infrared (SWIR) spectral domain as an electromagnetic wavelength's portion is one of the essential implements for in recognizing different alteration zones (Kaufman, 1988;Sabins, 1999;Hewson et al, 2001;Tangestani and Moore, 2001;Sadeghi et al, 2013;Aramesh et al, 2015;Fakhari et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Determination of alteration zones applying fractal modeling and Spectral Feature Fitting (SFF) method in Saryazd porphyry copper system, central Iran

et al. 2023

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The target of this research is recognition of the alteration zones utilizing concentration-area fractal methodology according to the reflection of the main minerals of each alteration zone that enhanced by Spectral Feature Fitting (SFF) method due to Advanced Space-borne Thermal Emission and Reflection Radiometer (ASTER) satellite images in Saryazd porphyry system, central Iran. The alterations and mineralization developed in Eocene volcanics. Remote sensing results achieved by the SFF method and Concentration -Area (C - A) fractal modeling represent different parts of propylitic, argillic and phyllic alteration zones due to their intensity and pixel values. In addition, the results reveal that there is a ring-shaped structure in the alteration zones, which are correlated with results, derived from X-Ray Diffraction (XRD) analyses and field observations.

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Alteration Mapping for Porphyry Copper Exploration Using ASTER and QuickBird Multispectral Images, Sonajeel Prospect, NW Iran

Cited by 13 publications

References 28 publications

An integrated ASTER-based approach for mapping carbonatite and iron oxide-apatite deposits

An integrated ASTER-based approach for mapping carbonatite and iron oxide-apatite deposits

Mapping Hydrothermal Alteration Zones Associated with Copper Mineralization using ASTER Data: A Case Study from the Mirjaveh Area, Southeast Iran

Determination of alteration zones applying fractal modeling and Spectral Feature Fitting (SFF) method in Saryazd porphyry copper system, central Iran

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