Prospection for economic mineralization using PRISMA satellite hyperspectral remote sensing imagery: an example from central East Greenland

Bedini, Enton; Jiang, Chen

doi:10.29150/2237-2202.2022.253484

Cited by 11 publications

(4 citation statements)

References 12 publications

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“…Accordingly, alteration mineral maps derived from PRISMA are specifically inclusive compared to previous studies using ASTER multispectral data in the study region [71][72][73][74]. In addition, some previous studies accentuated that PRISMA datasets contain great capability providing valuable insights for hydrothermal alteration mapping of ore mineralizations in metallogenic provinces around the world [2,[7][8][9][14][15][16][17][18][19][20][21][22][23][24][25]75,76]. The escalating challenges associated with mineral exploration underscore the critical need for innovative strategies, particularly in the identification of high-potential zones and subsequent campaigns.…”

Section: Discussionmentioning

confidence: 99%

“…The Principal Component Analysis (PCA), Minimum Noise Fraction (MNF), Independent Component Analysis (ICA), Adaptive Coherence Estimator (ACE), Random Forest (RF), XGboost (XGB), Support Vector Machine (SVM) and many other machine-learningbased classification algorithms were used for processing PRISMA data in mapping alteration minerals, identifying economic mineralization prospects, delineating dolomitization, obtaining high-quality reflectance estimations and achieving high-accuracy lithological mapping [2,[7][8][9][10][14][15][16][17][18][19]. Additionally, novel approaches and algorithms such as the spectral hourglass, iterative informed spectral unmixing technique, fuzzy logic approach, GIS-based algorithm, and informed linear mixing model were implemented to PRISMA data to determine the potential of the dataset for automated alteration mineral identification in diverse environments [20][21][22][23][24][25].…”

Section: Introductionmentioning

confidence: 99%

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PRISMA Hyperspectral Remote Sensing Data for Mapping Alteration Minerals in Sar-e-Châh-e-Shur Region, Birjand, Iran

Habashi,

Jamshid Moghadam,

Mohammady Oskouei

et al. 2024

Remote Sensing

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Remote sensing satellite imagery consistently provides valuable and frequent information, enabling the exploration of mineral resources across immense, remote and harsh domains. Recent developments in spaceborne hyperspectral remote sensing have opened avenues to support diverse remote sensing applications, particularly in the realm of mineral exploration. This study evaluates the capabilities of the PRecursore IperSpettrale della Missione Applicativa (PRISMA) hyperspectral satellite data for mapping alteration minerals using the Matched Filtering Unmixing (MFU) approach in the Sar-e-châh-e-shur, Birjand, Iran. Minerals such as richterite, augite, psilomelane, ilmenite, kaolinite, smectite, mirabilite, muscovite, and chlorite were identified using the vertex component analysis (VCA) technique. Subsequently, alteration mineral maps of the study area were generated using a matched filtering technique. Additionally, through the integration of X-ray diffraction (XRD) analysis, thin section examination, geochemical study of stream sediments, and interpretation of geological maps, potential alteration mineralization zones were delineated in the study area. Ultimately, the validation process, which included comparing the maps with the findings derived from the PRISMA remote sensing study, was conducted using the normal score equation. Thus, our results yielded a normalized score of 3.42 out of 4, signifying an 85.71% agreement with the regional geological characteristics of the study area. The results of this investigation highlight the substantial potential of the PRISMA dataset for systematic alteration mineral mapping and consequent exploration of ore minerals, specifically in challenging and inaccessible terrains.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

PRISMA Hyperspectral Remote Sensing Data for Mapping Alteration Minerals in Sar-e-Châh-e-Shur Region, Birjand, Iran

Habashi,

Jamshid Moghadam,

Mohammady Oskouei

et al. 2024

Remote Sensing

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“…They integrated the results with geochemical, geophysical and geological evidence maps using the fuzzy logic to generate a drilling favourability map. The new generation of spaceborne hyperspectral imaging such as PRISMA, EnMAP, and GaoFen-5 (GF-5) are also predominantly used for mineral exploration and alteration/lithologic mapping purposes [98,[104][105][106][107]. Yet, the high spectral resolution (<10nm) and high SNR (>400:1) of these imaging systems can find numerous applications within the mining sector, as outlined in this paper.…”

Section: Exploration Sectormentioning

confidence: 99%

Imaging Spectroscopy for the Mining Life Cycle: A Guide for Drone Applications

Koerting,

Asadzadeh,

Hildebrand

et al. 2024

Preprint

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Hyperspectral imaging data holds great potential for the different stages of the mining life cycle in active and post-mining environments. However, the technology has yet to reach the stage of large-scale industrial implementation and acceptance. While hyperspectral satellite imagery can achieve high spectral resolution, signal-to-noise ratio (SNR) and global availability with break-through satellite systems like EnMAP, EMIT and PRISMA, limited spatial resolution poses chal-lenges for sectors like mining, which require decimetre to centimetre scale resolution for applica-tions such as reconciliation, ore/waste estimates, geotechnical assessments and environmental monitoring. Hyperspectral imaging from drones (referred to herein as Uncrewed Aerial Systems; UASs) offers high spatial resolution data relevant to the camp/ mine scale, with the capability for frequent, user-defined re-visit times. This has been made possible by the miniaturization of hy-perspectral imaging systems. Collection of data in the visible to near and shortwave infrared (VNIR-SWIR) wavelength regions enables the detection of different minerals and surface altera-tion patterns potentially revealing crucial information for exploration, extraction, re-mining, waste remediation, and rehabilitation. In this paper, we provide a review of relevant studies de-ploying hyperspectral imaging in or applicable to the mining sector, especially for the use of hy-perspectral VNIR-SWIR Uncrewed Aerial Systems. Where required, we draw on previous in-sights derived from satellite or ground-based systems. We also discuss UAS survey planning, and sampling considerations for validation and interpretation.

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“…Therefore, additional reference detectors collect the signal from the 20.7, 21.5, and 31.5 µm lines (483, 465, and 317 cm −1 ), where sulfides and ilmenite do not show spectral features. Such an approach will allow determining the influence of the Sun's geometry and topography on the obtained results -a similar approach is applied in the Landsat 8 (Safari et al, 2018;Banerjee et al, 2019;Sekandari et al, 2020), ASTER (Safari et al, 2018;Zoheir et al, 2019;Sekandari et al, 2020), Sentinel-2 (Zoheir et al, 2019;Sekandari et al, 2020;Soydan et al, 2021), or PRISMA (Loizzo et al, 2018;Bedini and Chen, 2022;Chirico et al, 2023) spectral bands on Earth. Apart from minor interferences with H 2 O and CO 2 molecules in the FIR band, which in any case is nearly irrelevant on the Moon, the main FIR advantage is the robust absorption features of oxides and sulfides (Figure 6A) compared to rock-forming silicates (Figure 6B) and other common minerals (Figure 6C; Figure 7).…”

Section: Spectral Ranges and Interferencesmentioning

confidence: 99%

Lunar ore geology and feasibility of ore mineral detection using a far-IR spectrometer

Ciążela¹,

Bakala²,

Kowaliński³

et al. 2023

Front. Earth Sci.

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Lunar sulfides and oxides are a significant source of noble and base metals and will be vital for future human colonies’ self-sustainability. Sulfide detection (pyrite and troilite) applies to many technological fields and use cases, for example, as a raw material source (available in situ on the Lunar surface) for new solar panel production methods. Ilmenite is the primary iron and titanium ore on the Moon and can provide helium-3 for nuclear fusion and oxygen for rocket fuel. The most important ore minerals have prominent absorption peaks in a narrow far-infrared (FIR) wavelength range of 20–40 μm, much stronger than the spectral features of other common minerals, including significant silicates, sulfates, and carbonates. Our simulations based on the linear mixing of pyrite with the silicates mentioned above indicated that areas containing at least 10%–20% pyrite could be detected from the orbit in the FIR range. MIRORES, Multiplanetary far-IR ORE Spectrometer, proposed here, would operate with a resolution down to <5 m, enabling the detection of areas covered by 2–3 m2 of pyrite (or ilmenite) on a surface of ∼17 m2 from an altitude of 50 km, creating possibilities for detecting large and local smaller orebodies along with their stockworks. The use of the Cassegrain optical system achieves this capability. MIRORES will measure radiation in eight narrow bands (0.3 µm in width) that can include up to five bands centered on the ore mineral absorption bands, for example, 24.3, 24.9, 27.6, 34.2, and 38.8 µm for pyrite, marcasite, chalcopyrite, ilmenite, and troilite, respectively. The instrument size is 32 x 32 x 42 cm, and the mass is <10 kg, which fits the standard microsatellite requirements.

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Prospection for economic mineralization using PRISMA satellite hyperspectral remote sensing imagery: an example from central East Greenland

Cited by 11 publications

References 12 publications

PRISMA Hyperspectral Remote Sensing Data for Mapping Alteration Minerals in Sar-e-Châh-e-Shur Region, Birjand, Iran

PRISMA Hyperspectral Remote Sensing Data for Mapping Alteration Minerals in Sar-e-Châh-e-Shur Region, Birjand, Iran

Imaging Spectroscopy for the Mining Life Cycle: A Guide for Drone Applications

Lunar ore geology and feasibility of ore mineral detection using a far-IR spectrometer

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