Contribution of multispectral remote sensing to mining exploration in the Rehamna Massif, Moroccan Meseta

Elmimouni, Mohamed; Aarab, Abdellatif; Lakhloufi, Abdellah; Hamzaoui, Abderrazak; Akhssas, Ahmed; Benyas, Kawtar

doi:10.1051/e3sconf/202015003018

Cited by 2 publications

(3 citation statements)

References 11 publications

(12 reference statements)

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“…This transformation is similar to Principal Component Analysis (PCA) and is a very powerful tool in lithological, structural and alteration zone mapping. MNF is used to determine how much noise is in the image data, separate noise from the image, and reduce the computation required for further processing [8]. MNF includes two steps: the first transformation is called noise-whitening and is based on an estimated noise covariance matrix that aims at decorrelation and rescaling the noise in the data.…”

Section: Minimum Noise Fraction (Mnf)mentioning

confidence: 99%

Mineral Mapping through Advanced Airborne Hyperspectral Remote Sensing Techniques

Rani,

Kumar Ahirwar,

Anoop

et al. 2023

Applications of Remote Sensing

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An increased number of spectral channels in the visible to near-infrared region (VNIR) and short-wave infrared region (SWIR) in hyperspectral sensors help in the identification of distinct variations in minerals. Airborne Visible Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) hyperspectral sensor with 425 spectral bands is useful for mineral Constrained Energy Minimization (CEM), Spectral Angle Mapper (SAM), and Adaptive Coherence Estimator (ACE) advanced tools utilized to detect target minerals in the study area for mineral exploration. Minimum Noise Fraction (MNF), ACE, SAM and CEM advanced hyperspectral remote sensing techniques were applied to the AVIRIS-NG airborne data to map the kaolinite, dolomite, chlorite and hematite. In the MNF images, some areas are prominently highlighted and identified as areas of interest. CEM algorithm has classified the four minerals better than the ACE and SAM. The potential zones identified from the remote sensing data were verified, and abandoned old mines are present in three locations out of four. These locations are picked up well in different MNF images. In the mapped area, carbonate is present in the form of altered minerals in metabasalt, and iron leached surface indicates hematite mineral. The remote sensing outputs well also supported by the petrographic studies. The approach used in this study has great implications for mineral mapping.

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Section: Minimum Noise Fraction (Mnf)mentioning

confidence: 99%

Mineral Mapping through Advanced Airborne Hyperspectral Remote Sensing Techniques

Rani,

Kumar Ahirwar,

Anoop

et al. 2023

Applications of Remote Sensing

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“…The deformation is more intense, the metamorphism reaches the mesozonal stage (Hoepffner, 1974;Diot, 1989;El Mahi, 1991). Gigout, 1951;Baudin et al, 2002in El Mimouni et al, 2020.…”

Section: Geology Of the Study Areamentioning

confidence: 99%

“…Fig.2. Simplified geological map of the Rehamna Massif s.str (adapted fromGigout, 1951; Baudin et al., 2002in El Mimouni et al, 2020.…”

mentioning

confidence: 99%

New Targets of Potential Mining Interest Using Gravimetric and Satellite Data: Case Study of Hercynian Rehamna Massif, Morocco

Mimouni

Aarab

Lakhloufi

et al. 2022

IGJ

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The known mineralization in the Rehamna Massif is essentially vein type and linked to the presence of granitic bodies and pneumatolytic - hydrothermal fluid circulations. This part of western Moroccan Meseta, belongs to the Hercynian belt, was the seat of enormous mining productions mainly base metals during the 20th century. Subsequently, exploitations are ended with artisanal extractions, in relation to exploration decline. The present work aims to search for new favourable mining targets, using gravimetric and remote sensing data. Gravimetric data allowed us to delineate leucogranitic apexes of shallow depth. Data filtering and processing consist of separation between Regional and Residual fields from Bouguer anomaly, then, calculation of horizontal, vertical and tilt derivatives to get different gravity anomalies. A Satellite image is used to obtain structural lineaments of the study region through directional filters (N0°, N45°, N90°, N135°). These treatments, supported by field investigations, enabled us to discriminate potential areas, suitable for tactical mining exploration.

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Contribution of multispectral remote sensing to mining exploration in the Rehamna Massif, Moroccan Meseta

Cited by 2 publications

References 11 publications

Mineral Mapping through Advanced Airborne Hyperspectral Remote Sensing Techniques

Mineral Mapping through Advanced Airborne Hyperspectral Remote Sensing Techniques

New Targets of Potential Mining Interest Using Gravimetric and Satellite Data: Case Study of Hercynian Rehamna Massif, Morocco

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