Detection of hydrothermal alteration zones using ASTER data in Nimu porphyry copper deposit, south Tibet, China

Wang, Zhenghai; Zhou, Cong; Qin, Haoyang

doi:10.1016/j.asr.2020.01.008

Cited by 15 publications

(6 citation statements)

References 51 publications

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“…Even though there are some limitations using the library spectra as the samples are measured under certain atmospheric conditions, with specific instrumental laboratory equipment, and they may not match precisely the spectra acquired from the satellite images, we were able to utilise the MTMF algorithm to estimate their total area of distribution (Table 2). Several studies have used this statistic approach, usually applying 1.5σ, 2σ, and 2.5σ as thresholds to determine the alteration level of an area [8], through many different processing approaches (i.e., PCA: [8,43]; MF: [7,43]; SAM: [42]). The threshold values of kaolinite, dickite, kaolinite/smectite are 0.031, 0.039 and 0.05, respectively.…”

Section: Resultsmentioning

confidence: 99%

“…Thus, the presence of minerals indicative of hydrothermal alteration exhibits diagnostic spectral absorption features. ASTER satellite imagery has been thoroughly used to discriminate hydrothermal alteration [2,[4][5][6][7][8][38][39][40][41][42][43][44], considering its wide spectral coverage in the VNIR and SWIR region.…”

Section: Endmember Selectionmentioning

confidence: 99%

“…The main objective of this article is to identify through remote sensing kaolin occurrences, which are products of the hydrothermal alteration of volcanic rocks, on the Kefalos peninsula, NW Kos Island, Greece. In the literature, the contribution of satellite imagery in cases of hydrothermal alteration has been extensively appraised [1][2][3][4][5][6][7][8] since important information about cost-effective mineral occurrences in the earth's surface are often deduced. The spectral properties of target minerals can help us recognise and map sites of interest with potential economic value.…”

Section: Introductionmentioning

confidence: 99%

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Kaoline Mapping Using ASTER Satellite Imagery: The Case Study of Kefalos Peninsula, Kos Island

Kokkaliari

Kanellopoulos

Illiopoulos

2021

International Conference on Raw Materials and Circular Economy

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The present work aims to map kaolin occurrences on the Kefalos peninsula, SW Kos Island, Greece, through the elaboration of ASTER satellite imagery. The island of Kos is located on the eastern edge of the South Aegean Active Volcanic Arc (SAAVA) and is characterised by its complex geologic structure. During Plio-Pleistocene, the voluminous eruption of the Kos Plateau Tuff was recorded on Kefalos; the largest quaternary eruption in the Mediterranean. Kaolin is the product of hydrothermal alteration of the Pliocene volcanic rocks with rhyolitic composition. Our study emphasises the usefulness of satellite imagery combined with the Mixture Tuned Matched Filtering (MTMF) technique to detect occurrences of industrial minerals, kaolin-group minerals in this case, either in terms of raw mineral exploitation or by mapping hydrothermal alteration.

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Section: Resultsmentioning

confidence: 99%

Section: Endmember Selectionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Kaoline Mapping Using ASTER Satellite Imagery: The Case Study of Kefalos Peninsula, Kos Island

Kokkaliari

Kanellopoulos

Illiopoulos

2021

International Conference on Raw Materials and Circular Economy

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“…The Sentinel-2 data have more near-infrared (NIR) bands than the Landsat 8 data and can be used to distinguish between magnesium hydroxyls, aluminum hydroxyls, and carbonate alteration information. The ASTER data include six SWIR bands; these bands are often used for extracting alteration information since most altered minerals have at least one pair of reflection peaks and absorption valleys in the SWIR region (Mujabar and Dajkumar, 2019;Son et al, 2019;Wang et al, 2020;. Additionally, the ASTER data include five thermal infrared (TIR) bands, which are useful for the inversion of silica content and the extraction of silicified alteration information.…”

Section: Discussionmentioning

confidence: 99%

Extracting geological and alteration information and predicting antimony ore based on multisource remote sensing data in Huangyangling, Xinjiang

Wang,

Chen,

Dai

2024

Front. Earth Sci.

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Introduction: China has the world’s largest amount of antimony resources and plays a vital role in the global antimony industry. The Huangyangling area in Xinjiang belongs to the Lazhulong-Huangyangling antimony mineralization belt; this area is rich in antimony ore resources, with potential for discovery of additional ore. This high-elevation mountainous area is located in the northwestern region of the northern Tibetan Plateau, with a harsh natural environment and poor transportation access; thus, the use of traditional geological exploration methods is limited, and remote sensing technology provides unique advantages.Methods: Using Landsat 8 OLI and Gaofen-6 (GF-6) data, we extracted stratigraphic, lithologic and fault information from the study area through information enhancement processing of the images. Based on Landsat 8 OLI, Sentinel-2 and ASTER images and the use of remote sensing image preprocessing and interference information masking, the spectral characteristics of limonite, as well as hydroxyl, carbonate, and silicified alteration minerals were utilized; the characteristics included reflection or absorption in specific spectral bands. The spectral characteristics were then combined with principal component analysis (PCA) and the band ratio method to extract the alteration information for the study area.Results: The stratigraphy and boundaries between stratigraphic and lithologic units extracted in this study were defined, and numerous small faults were identified based on a comparison with 1:250,000 geologic maps. And the overall distribution trends of the indicators of alteration extracted in this study were located along fault zones; additionally, the hydroxyl and carbonate alteration anomalies matched well with known deposits (occurrences). Thus, the alteration information is a good indication of antimony ore bodies. Based on the geological interpretation, alteration information extraction and geochemical exploration data, four prospecting areas were identified.Discussion: The method of extracting geological and hydrothermal alteration information by remote sensing has practical significance because it provides the possibility for geological work and mineral exploration in difficult high-elevation environments.

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“…After making geometric and radiometric corrections, as well as removing the vegetation canopy of the area, a set of Aster data was employed to generate phyllic, argillic, and propylitic alteration maps based on the band ratio method. By employing the standard reflection spectrum, the minerals of the three alteration indices were identified with a band ratio of 7/5 [45] for argillic alteration, (7+5)/6 [45] for phyllic alteration, and (9+7)/8 [45] for propylitic alteration. Finally, the corresponding continuous maps of argillic, phyllic and propylitic alterations were created (Figure 5-c, d and e).…”

Section: • Hydrothermal Alteration Layermentioning

confidence: 99%

A New Frontier in Mineral Exploration: Hybrid Machine Learning and Bat Metaheuristic Algorithm for Cu-Au Mineral Prospecting in Sonajil area, E-Azerbaijan

Mohammadzadeh

Mahboubiaghdam

Nasseri

et al. 2023

Preprint

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Modeling mineral prospectivity is a challenging strategy in characterization of blind ore zones and mineral prospecting. Therefore, the application of advanced spatial modeling techniques and machine learning algorithms is important in exploration pattern recognition. In this study, a combination of a support vector machine (SVM) and the bat algorithm (BA) has been employed to improve the classification and produce an optimal prospectivity map of porphyry copper-gold deposit in the Sonajil area, NW of Iran. In the proposed model, BA was used to optimize the SVM parameters. In data preparation, evidence layers of 10 exploratory features (geological, geochemical, remote sensing and boreholes) were prepared. Then based on 100-meter buffering around boreholes, the data (training and testing) was selected. For mapping mineral prospectivity in the area, the results of two predictive single SVM and hybrid SVM-BA models were compared. Both models were trained by way of predictor maps and then the models performance were evaluated by confusion matrix and receiver operating characteristic (ROC) curve. The results showed that both predictive models had an obvious optimization effect on recognizing the Cu-Au mineralization pattern but the hybrid model had higher accuracy in anomalous zone enhancement, with ROC values more than 0.8, indicating this optimization was successful and the selected optimal model is the best predictor for mineral prospectivity in the area. The delineated targets are also in accordance with the characteristics of the area metallogenic system showing that the established hybrid model is an effective tool in mineral prospectivity mapping.

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Detection of hydrothermal alteration zones using ASTER data in Nimu porphyry copper deposit, south Tibet, China

Cited by 15 publications

References 51 publications

Kaoline Mapping Using ASTER Satellite Imagery: The Case Study of Kefalos Peninsula, Kos Island

Kaoline Mapping Using ASTER Satellite Imagery: The Case Study of Kefalos Peninsula, Kos Island

Extracting geological and alteration information and predicting antimony ore based on multisource remote sensing data in Huangyangling, Xinjiang

A New Frontier in Mineral Exploration: Hybrid Machine Learning and Bat Metaheuristic Algorithm for Cu-Au Mineral Prospecting in Sonajil area, E-Azerbaijan

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