Synergy of Remote Sensing Data for Exploring Hydrothermal Mineral Resources Using GIS-Based Fuzzy Logic Approach

The Arabian Nubian Shield (ANS) contains a variety of gold deposits in the form of veins and veinlets formed by hydrothermal fluids. Characterizing potential areas of hydrothermal alteration zones therefore provides a significant tool for prospecting for hydrothermal gold deposits. In this study, we...

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Autores principales:	Mohamed Abdelkareem, Nassir Al-Arifi
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	remote sensing hydrothermal ores fuzzy logic Arabian Nubian Shield Science Q
Acceso en línea:	https://doaj.org/article/1523b97242004ae0b94ff905d8165c1a
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spelling	oai:doaj.org-article:1523b97242004ae0b94ff905d8165c1a2021-11-25T18:53:39ZSynergy of Remote Sensing Data for Exploring Hydrothermal Mineral Resources Using GIS-Based Fuzzy Logic Approach10.3390/rs132244922072-4292https://doaj.org/article/1523b97242004ae0b94ff905d8165c1a2021-11-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/22/4492https://doaj.org/toc/2072-4292The Arabian Nubian Shield (ANS) contains a variety of gold deposits in the form of veins and veinlets formed by hydrothermal fluids. Characterizing potential areas of hydrothermal alteration zones therefore provides a significant tool for prospecting for hydrothermal gold deposits. In this study, we develop a model of exploration for hydrothermal mineral resources in an area located in the ANS, Egypt, using multiple criteria derived from Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), Landsat-Operational Land Imager (OLI), and Sentinel-2 data and field work through GIS-based fuzzy logic approach. The hydrothermal alteration zones (HAZs) map extracted from combining mineral indices, spectral bands, and ratios is consistent with observed argillic alteration zones around the mineralized veins. Combining HAZs and lineament density led to identification of six zones based on their mineralization potential, and provides a tool for successful reconnaissance prospecting for future hydrothermal mineral deposits. The detected zones are labeled as excellent, very high, high, moderate, low, and very low, based on their potential for Au production, and the predictive excellent and very high zones cover about 1.6% of the study area. This model also shows that target prospective zones are quartz veins controlled by NNW-SSE trending fracture/fault zones all crosscutting Precambrian rocks of the ANS. Field observations and petrographic and X-ray diffraction analyses were performed to validate the mineral prospective map and revealed that quartz veins consist of gold–sulfide mineralization (e.g., gold, pyrite, chalcopyrite, and sphalerite). Consistency between the high potential hydrothermal alterations zones (HAZs) and the location of gold mineralization is achieved.Mohamed AbdelkareemNassir Al-ArifiMDPI AGarticleremote sensinghydrothermal oresfuzzy logicArabian Nubian ShieldScienceQENRemote Sensing, Vol 13, Iss 4492, p 4492 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	remote sensing hydrothermal ores fuzzy logic Arabian Nubian Shield Science Q
spellingShingle	remote sensing hydrothermal ores fuzzy logic Arabian Nubian Shield Science Q Mohamed Abdelkareem Nassir Al-Arifi Synergy of Remote Sensing Data for Exploring Hydrothermal Mineral Resources Using GIS-Based Fuzzy Logic Approach
description	The Arabian Nubian Shield (ANS) contains a variety of gold deposits in the form of veins and veinlets formed by hydrothermal fluids. Characterizing potential areas of hydrothermal alteration zones therefore provides a significant tool for prospecting for hydrothermal gold deposits. In this study, we develop a model of exploration for hydrothermal mineral resources in an area located in the ANS, Egypt, using multiple criteria derived from Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), Landsat-Operational Land Imager (OLI), and Sentinel-2 data and field work through GIS-based fuzzy logic approach. The hydrothermal alteration zones (HAZs) map extracted from combining mineral indices, spectral bands, and ratios is consistent with observed argillic alteration zones around the mineralized veins. Combining HAZs and lineament density led to identification of six zones based on their mineralization potential, and provides a tool for successful reconnaissance prospecting for future hydrothermal mineral deposits. The detected zones are labeled as excellent, very high, high, moderate, low, and very low, based on their potential for Au production, and the predictive excellent and very high zones cover about 1.6% of the study area. This model also shows that target prospective zones are quartz veins controlled by NNW-SSE trending fracture/fault zones all crosscutting Precambrian rocks of the ANS. Field observations and petrographic and X-ray diffraction analyses were performed to validate the mineral prospective map and revealed that quartz veins consist of gold–sulfide mineralization (e.g., gold, pyrite, chalcopyrite, and sphalerite). Consistency between the high potential hydrothermal alterations zones (HAZs) and the location of gold mineralization is achieved.
format	article
author	Mohamed Abdelkareem Nassir Al-Arifi
author_facet	Mohamed Abdelkareem Nassir Al-Arifi
author_sort	Mohamed Abdelkareem
title	Synergy of Remote Sensing Data for Exploring Hydrothermal Mineral Resources Using GIS-Based Fuzzy Logic Approach
title_short	Synergy of Remote Sensing Data for Exploring Hydrothermal Mineral Resources Using GIS-Based Fuzzy Logic Approach
title_full	Synergy of Remote Sensing Data for Exploring Hydrothermal Mineral Resources Using GIS-Based Fuzzy Logic Approach
title_fullStr	Synergy of Remote Sensing Data for Exploring Hydrothermal Mineral Resources Using GIS-Based Fuzzy Logic Approach
title_full_unstemmed	Synergy of Remote Sensing Data for Exploring Hydrothermal Mineral Resources Using GIS-Based Fuzzy Logic Approach
title_sort	synergy of remote sensing data for exploring hydrothermal mineral resources using gis-based fuzzy logic approach
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/1523b97242004ae0b94ff905d8165c1a
work_keys_str_mv	AT mohamedabdelkareem synergyofremotesensingdataforexploringhydrothermalmineralresourcesusinggisbasedfuzzylogicapproach AT nassiralarifi synergyofremotesensingdataforexploringhydrothermalmineralresourcesusinggisbasedfuzzylogicapproach
_version_	1718410572027920384

Synergy of Remote Sensing Data for Exploring Hydrothermal Mineral Resources Using GIS-Based Fuzzy Logic Approach

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