Mineral and structural mapping of the Aynak-Logar Valley (eastern Afghanistan) from hyperspectral remote sensing data and aeromagnetic data

Azizi, Masood; Saibi, Hakim; Cooper, G.R.J.

doi:10.1007/s12517-015-1993-2

Cited by 31 publications

(9 citation statements)

References 12 publications

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“…highly magnetized rocks in ALV). Previous research development in the study area showed that the Aynak region possesses four magnetic anomalies associated with four magnetic sources (Azizi et al, 2015). Figure 14 illustrates the depth to the main magnetized source body which is approximately 1 km, assuming magnetization intensity varies from 1.0 to 3.8 A/m and the sources have a near vertical dip.…”

Section: F I E L D E X a M P L Ementioning

confidence: 94%

“…An airborne magnetic survey for the study area (ALV) was carried out in 2006 and 2008 by the Naval Research Laboratory (NRL) and the USGS (Ashan et al, 2007;Shenwary et al, 2011). Previous geophysical investigation in the study area (Azizi et al, 2015) helped to validate our computer program. The high-amplitude magnetic anomalies associated with various magnetic units have been observed in the area.…”

Section: F I E L D E X a M P L Ementioning

confidence: 99%

“…The study area is called Aynak because it contains the world-class Aynak copper-cobalt deposit that is currently evaluated to contain 36 million metric tonnes of ore at 2.3% copper. Many minerals, such as copper, cobalt and chromium, characterize the study area (Azizi et al, 2015).…”

Section: F I E L D E X a M P L Ementioning

confidence: 99%

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Computation of geophysical magnetic data for a buried 3‐D hexahedral prism using the Gauss–Legendre quadrature method

Mohamed

Mizunaga

Saibi

2020

Near Surface Geophysics

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A new method is presented for the 3‐D forward modelling of the magnetic effects (induced magnetization) of a hexahedral (trilinear) prism using the Gauss–Legendre quadrature method. The 3‐D forward modelling provides an improved application to geological problems. The magnetic effect has been evaluated via the summation of the effects of the point dipole that fills the volume. The 3‐D volume is divided into smaller prisms using an appropriate number of nodes. The algorithm is tested on two synthetic examples, and the results are compared against calculated data from a common program developed at the University of British Columbia–Geophysical Inversion Facility, with both tests showing positive results. The results of testing the algorithm against two synthetic slab models are also given. Finally, the program is applied to a field data set from Aynak‐Logar Valley region in Afghanistan. Using this program, complex 3‐D model bodies may be constructed from hexahedral prisms to facilitate the calculation of their magnetic anomalies and magnetic susceptibility. Interpretation of the results shows that 3‐D constructed models are successful in recovering the shape and location of the true model.

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Section: F I E L D E X a M P L Ementioning

confidence: 94%

Section: F I E L D E X a M P L Ementioning

confidence: 99%

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Computation of geophysical magnetic data for a buried 3‐D hexahedral prism using the Gauss–Legendre quadrature method

Mohamed

Mizunaga

Saibi

2020

Near Surface Geophysics

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“…8. A magnetic survey is a powerful method to study the location of faults and other geological structures (dykes, intrusions) and is routinely applied in mining exploration surveys [6]. The remote-sensing data were processed using Earth Resource (ER) Mapper Ver.…”

Section: Introductionmentioning

confidence: 99%

Applications of Remote Sensing in Geoscience

Saibi¹,

Bersi²,

Mia³

et al. 2018

Recent Advances and Applications in Remote Sensing

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Remote sensing is becoming an important and useful tool in mapping large, remote areas and has many applications in geosciences such as geologic and geo-structural mapping, mineral and water exploration, hydrocarbon exploration, natural hazards analysis, and geomorphology. The recent advances in remote-sensing imaging acquisition and availability of images can help geoscientists to explore and prepare maps quickly and evaluate the geo-potential of any specific area on the globe. Advances in remote-sensing data analysis techniques have improved the capacity to map the geological structures and regional characteristics and can serve in mineral exploration in complex and poorly understood regions. In this chapter, geophysical remotely sensed data (airborne geophysics) are integrated with other sources of remotely sensed data to analyze three separate areas, one each for geological structure, lineament presence and orientation, and geothermal potential. Three case studies are discussed in this chapter from three countries-Afghanistan, United Arab Emirates, and Algeria-to show the effectiveness of remote sensing in mapping and detecting geo-structural, geomorphological, and geothermal characteristics of ground surfaces.

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“…Therefore, combining spectral with other remote sensing data types is increasingly used to enhance mineral mapping performance. Therefore, e.g., Azizi et al [5] combined hyperspectral and aeromagnetic data for mineral and structural mapping, while Bersi et al [6] used multispectral and aerogravity data for the exploration of iron deposits. However, the combination of spectral and geomorphological data is a yet seldom used, but promising approach for the mapping of geomorphologically-prominent deposits.…”

Section: Introductionmentioning

confidence: 99%

Remote Sensing-Based Exploration of Structurally-Related Mineralizations around Mount Isa, Queensland, Australia

2016

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Abstract:Hyperspectral imaging is a powerful tool for mineral mapping and increasingly used in poorly-accessible areas. It only requires a limited amount of validation sample points, but can fail to discriminate spectrally-similar features. In this manuscript, we show that we improve the identification of interesting targets by including geomorphological data in the spectral mapping scheme. We jointly use geomorphic and spectral features to locate gossanous ironstone ridges as an indicator for possible Pb-Zn-Ag-mineralization and provide an application around Mount Isa and George Fisher/Hilton mine, Queensland, Australia. We combine hyperspectral HyMap data using mixture tuned matched filtering with topographical indices, such as maximum curvature and the topographical position index. As it is often the case with structurally-controlled mineralization, the amount of training sites is limited, and supervised classification methods cannot be implemented. Therefore, we implement expert knowledge in a decision tree to take advantage of the relationship between mineralization, alteration and structure. Optimized rock sampling and spectral measurements provided data for validation. We are able to map sets of gossanous ridges with a minimum of validation points, not only within the Mount Isa mining area itself, but also outside the commonly-accepted host rocks. The ridges are parallel to north-south trending geomorphological features and probably associated with the Paroo fault zone. Similarities between the ridges were confirmed by field observations, spectral measurements and a qualitative rock sample analysis. We identified new mineralized ridges that we could subsequently attribute to a poorly-known and sub-economic deposit known as the Mount Novit Pb-Zn-deposit.

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Mineral and structural mapping of the Aynak-Logar Valley (eastern Afghanistan) from hyperspectral remote sensing data and aeromagnetic data

Cited by 31 publications

References 12 publications

Computation of geophysical magnetic data for a buried 3‐D hexahedral prism using the Gauss–Legendre quadrature method

Computation of geophysical magnetic data for a buried 3‐D hexahedral prism using the Gauss–Legendre quadrature method

Applications of Remote Sensing in Geoscience

Remote Sensing-Based Exploration of Structurally-Related Mineralizations around Mount Isa, Queensland, Australia

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