Mapping hydrothermal minerals using remotely sensed reflectance spectroscopy data from Landsat

Mahboob,; Genc, Bekir; Çelik, Turgay; Ali, Shahid; Atif, Iqra

doi:10.17159/2411-9717/2019/v119n3a7

Cited by 21 publications

(8 citation statements)

References 46 publications

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“…Besides, band ratio is known for its ability to reduce or eliminate illumination differences (shading of the surface due to slope orientation and solar illumination angle) related to topography (Wan, Liu, Li, Dawson, & Yan, 2018). For the identification of hydrothermal alteration mineral groups based on Landsat 8 spectral bands, several band ratio indices were developed and adapted (Mahboob, Genc, Celik, Ali, & Atif, 2019; Pour et al, 2018a). Thus, band ratio indices of 6/4 (ferrous iron oxides), 4/2 (all iron oxides), 6/5 (ferric iron oxides), and 6/7 (hydroxyl‐bearing minerals) can be recommended as noticeable indicators of Al‐OH‐, Fe‐OH‐, and Mg/Fe‐OH‐bearing minerals (Pour, Park, Park, et al, 2019).…”

Section: Methodsmentioning

confidence: 99%

Section: Pre-processing Of the Landsat 8 Datamentioning

confidence: 99%

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Integration of Landsat 8, gravity, and field data for exploration of gold mineralization in Gamba District, Northern Cameroon

et al. 2021

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Remote sensing is a robust and useful tool for providing high‐resolution image data and enabling reliable geological mapping during the initial stage of mineral exploration. One of its main applications is the extraction of lineaments and to locate alteration areas to target gold exploration. It has been long used in the Pan‐African belt of Cameroon to identify a hydrothermal alteration and a great number of lineaments associated with mineralizations. The study area located in the Pan‐African belt hosts numerous alluvial gold deposits where the primary mineralization was still largely poorly unknown until now, due to deep weathering. Therefore, remote sensing combined with field data is useful for targeting potential zones of primary gold resources involved in the hydrothermal and lineament systems. In this study, remote sensing data from Landsat 8 imagery were selected to map the distribution of hydrothermal minerals, and gravity data were interpreted for highlighting structural patterns related to the control of high‐potential zone for gold mineralization, generating a mineral prospect map. The lineaments network shows directions ranging from ENE‐WSW to E‐W, with main direction N45° and a secondary striking N275°. Image enhancement/processing techniques included the application of band ratio and principal component analysis that were helpful to demarcate potential alteration zones marked by iron oxide/hydroxides in which haematite and pyrite are used as proximal alterations and hydroxyl‐bearing minerals in which sericite (muscovite) is used as a marker of proximal alteration, while chlorite, epidote, biotite, quartz, and calcite are used as distal alteration zone, as described by field and petrographic data. The identified alteration zones display a high consistency with the known locations of gold occurrences (mining sites) and closely concordant with large‐scale gold mineralization in the study area. This study presents an integrated approach of Landsat 8 imagery with gravity data and field data for discovering primary mineral resources in a deep weathering area.

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Section: Methodsmentioning

confidence: 99%

Section: Pre-processing Of the Landsat 8 Datamentioning

confidence: 99%

Integration of Landsat 8, gravity, and field data for exploration of gold mineralization in Gamba District, Northern Cameroon

et al. 2021

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“…Landsat 8 is known as a versatile tool that has been used by many studies. In South Africa, Mahboob et al (2019) have used Landsat 8 to map altered rocks in the Gauteng and Mpumalanga using combination of visible, near infrared, short wavelength infrared, and thermal infrared regions bands. In Iceland, (Ramírez-González et al 2019) high temperature geothermal areas have been identified using combinations of visible and short wavelength infrared.…”

Section: Discussionmentioning

confidence: 99%

Did Cavemen Boil Their Food? A Remote Sensing Based Evidence of Hydrothermal Landscape of Prehistoric Mongoloid Pawon Man 9.5 ka Occupancy at Pawon Cave of West Java

Wibowo¹

2020

Preprint

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Relationship between caveman prehistoric life in terms of heat induced food processing and its geological ecosystems have received many attentions. Previous studies have investigated the sources of heat included using Fourier transform infrared spectroscopy and biomarker approaches. Here this study proposes the use of remote sensing to identify the relationship of 9500 year old (9.5 ka) prehistoric mongoloid occupancy with hydrothermal manifestations at Pawon cave of West Java. The hydrothermal manifestations around Pawon cave were identified using Landsat 8 band combinations, land surface temperature, and sedimentary lithology. The results showed the hydrothermal manifestations surrounding Pawon cave were within a distance of 0.5-2 km. The results also showed bones representing 12 animal taxon groups with high abundance of rodents. To conclude this study sheds the light of proximity and preferences of mongoloid prehistoric occupancy towards hydrothermal landscape due to its advantage as heat sources for food processing purposes.

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“…1 [14]. In this study, multispectral cloud-free Sentinel-2B images with spatial resolution of 10 m (bands 2, 3, 4, 8), 20 m (bands 5, 6, 7, 8A, 11,12) and 60 m (bands 1, 9, 10), produced since December 5, 2019 in the Vinh Phuc province (northern Vietnam) were used for mapping hydroxyl-bearing minerals distribution (Fig. 2).…”

Section: Methodsmentioning

confidence: 99%

Hydrothermal Minerals Mapping using based on Remotely Sensed Data from Sentinel 2 Sattelite: a Case Study in Vinh Phuc Province, Northern Vietnam

Hung

2020

Gorn. nauki tehnol.

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This paper presents the experiences obtained in the application of Principal Component Analysis (PCA) method to map hydrothermal minerals based on remotely sensed data. In this study, Sentinel-2B MultiSpectral Instrument (MSI) image is used to detect distribution of hydroxyl-bearing minerals in Vinh Phuc province, northern Vietnam. Four bands of Sentinel-2B image including blue band (band 2), Vegetation Red Edge band (band 8A) and SWIR bands (band 11 and 12) are used to calculate the Principal Components, then and then select the Principal Component, which containing provides information on the hydrothermal minerals information. The obtained results findings show that the methodology and data are effective in detecting and mapping hydrothermal mineralization.

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Mapping hydrothermal minerals using remotely sensed reflectance spectroscopy data from Landsat

Cited by 21 publications

References 46 publications

Integration of Landsat 8, gravity, and field data for exploration of gold mineralization in Gamba District, Northern Cameroon

Integration of Landsat 8, gravity, and field data for exploration of gold mineralization in Gamba District, Northern Cameroon

Did Cavemen Boil Their Food? A Remote Sensing Based Evidence of Hydrothermal Landscape of Prehistoric Mongoloid Pawon Man 9.5 ka Occupancy at Pawon Cave of West Java

Hydrothermal Minerals Mapping using based on Remotely Sensed Data from Sentinel 2 Sattelite: a Case Study in Vinh Phuc Province, Northern Vietnam

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