Identifying hydrothermally altered rocks using ASTER satellite imageries in Eastern Anti-Atlas of Morocco: a case study from Imiter silver mine

Atif, Youssef; Soulaı̈mani, Abderrahmane; Lamqadem, Atman Ait; Pour, Amin Beiranvand; Pradhan, Biswajeet; Nouamane, El Aouad; Abdel-ali, Kharis; Muslim, Aidy M.; Hossain, Mohammad Shawkat

doi:10.1080/19479832.2021.1958928

Cited by 12 publications

(1 citation statement)

References 55 publications

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“…Additionally, ASTER data have a relatively high spectral resolution in the visiblenear infrared (VNIR), short-wave infrared (SWIR), and thermal infrared (TIR) bands, which can more accurately distinguish spectral differences between rocks and minerals. ASTER data are more widely used and effective than other types of deposits in searching for porphyry copper-gold-molybdenum deposits (Tommaso and Rubinstein, 2006;Alimohammadi et al, 2015;Liu et al, 2018;Atif et al, 2022;Shirazi et al, 2022). In recent years, there have been rapid developments in hyperspectral remote sensing technology.…”

Section: Introductionmentioning

confidence: 99%

Mapping alteration zones in the Southern section of Yulong copper belt, Tibet using multi-source remote sensing data

Dai

Zhou

et al. 2023

Front. Earth Sci.

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Methods for extracting mineralized alteration information using remote sensing images have recently become both efficient and cost-effective. Technology involving the extraction of alteration information based on multi-spectral data has been widely practiced and effectively verified. In recent years, research on fine mineral extraction methods based on hyperspectral data has also been rapidly developing. The Yulong copper belt is a porphyry copper belt located in China with high prospects for mineralization. However, most previous studies focused on the northern section of the Yulong copper belt, with limited exploration of the southern section. In this study, alteration information of the southern section of the Yulong copper belt was extracted from remote sensing data from Landsat-8 OLI, ASTER, and ZY1-02D, and the prospecting potential of this area was evaluated. Principal component analysis was used to extract iron oxide and hydroxyl alteration from Landsat-8 data, in addition to Al hydroxyl and propylitic alterations from ASTER data. Considering the challenge of the extraction of too many pseudo-anomalies using traditional methods, the mixture-tuned matched filtering (MTMF) method was used to more accurately extract iron oxide alterations. Regarding hyperspectral data, the minimum noise fraction and pure pixel index algorithms were used to extract white mica and carbonatite endmembers. The MTMF method was also used for alteration mapping, which took advantage of sub-pixel abundance mapping to finely divide the white mica and carbonatite alterations into five classes. The extraction results of multi-source remote sensing data were then compared and analyzed to avoid occasional single-image extraction results, which confirmed the superiority of the hyperspectral remote sensing and MTMF methods. Combined with field verification, the mineralization alteration information coincided with the spatial location of the Secuo, Mamupu, and Jicuo deposits, which confirmed the accuracy of alteration information extraction. The results of this study confirmed the application potential of remote sensing alteration information extraction in the field of mineral resource exploration. The results have important reference significance for further geological prospecting and exploration in the southern section of the Yulong copper belt.

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