HyMap imagery for copper and manganese prospecting in the east of Ameln valley shear zone (Kerdous inlier, western Anti-Atlas, Morocco)

被引：22

作者：

Hajaj, Soufiane ^{[1
]}

El Harti, Abderrazak ^{[1
]}

Jellouli, Amine ^{[1
]}

Pour, Amin Beiranvand ^{[2
,3
]}

Himyari, Saloua Mnissar ^{[4
]}

Hamzaoui, Abderrazak ^{[4
]}

Bensalah, Mohamed Khalil ^{[5
]}

Benaouiss, Naima ^{[5
]}

Hashim, Mazlan ^{[3
]}

机构：

[1] Sultan Moulay Slimane Univ, Fac Sci & Tech, Geomat Georesources & Environm Lab, Beni Mellal, Morocco

[2] Univ Malaysia Terengganu UMT, Inst Oceanog & Environm INOS, Kuala Nerus, Malaysia

[3] Univ Teknol Malaysia, Res Inst Sustainable Environm, Geosci & Digital Earth Ctr INSTeG, Johor Baharu, Malaysia

[4] Natl Off Hydrocarbons, Mines Off Natl Hydrocarbures Mines ONHYM, Moulay Hassan Blvd, Rabat, Morocco

[5] Cadi Ayyad Univ, Fac Sci Semlalia, Dept Geol, Marrakech, Morocco

来源：

JOURNAL OF SPATIAL SCIENCE | 2024年 / 69卷 / 01期

关键词：

HyMap; MTMF; fuzzy logic modelling; Mineral Exploration; Western Anti-Atlas; IMAGING SPECTROMETER DATA; AIRBORNE HYPERSPECTRAL DATA; ASTER DATA; ALTERATION MINERALS; DEPOSIT; EXPLORATION; GREENLAND; CU;

D O I：

10.1080/14498596.2023.2172085

中图分类号：

P9 [自然地理学];

学科分类号：

0705 ; 070501 ;

摘要：

Eastern Kerdous demonstrates a polymetallic hydrothermal activity due its association with a paleorelief area. This study focuses on generating a Mineral Potential Map based on Fuzzy Logic Modelling and HyMap-Based input layers. The Relative Absorption Band Depth, Directed Principal Component Analysis, Line Density, and Mixture Tuned Matched Filtering techniques were implemented to perform 20 thematic layers. As a result, three new prospective zones were identified. Fieldwork, petrography, and XRD analysis verified the remote sensing results. Finally, this investigation highlights the significant potential of HyMap imagery for mineral exploration in inaccessible and remote parts of the western Anti-Atlas belt.

引用

页码：81 / 102

页数：22

共 82 条

[1] Synergy of Remote Sensing Data for Exploring Hydrothermal Mineral Resources Using GIS-Based Fuzzy Logic Approach [J].