Using the Landsat-8 Data Set and Shuttle Radar Topography Mission Digital Terrain Model for Gold–Polymetallic Mineralization Prediction on the Territory of the Central Part of the Malouralskaya Zone, the Polar Urals

For the first time, we apply a new approach to processing earth remote sensing data obtained by the Landsat-8 spacecraft to the central part of the Maloyralskaya zone, the Polar Urals. It consists of integrating metasomatic alteration distribution maps and lineament density patterns that were create...

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Published inIzvestiya. Atmospheric and oceanic physics Vol. 59; no. 10; pp. 1397 - 1408
Main Authors Ivanova, Yu. N., Nafigin, I. O.
Format Journal Article
LanguageEnglish
Published Moscow Pleiades Publishing 01.12.2023
Springer Nature B.V
Subjects
Online AccessGet full text
ISSN0001-4338
1555-628X
DOI10.1134/S0001433823120125

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Abstract For the first time, we apply a new approach to processing earth remote sensing data obtained by the Landsat-8 spacecraft to the central part of the Maloyralskaya zone, the Polar Urals. It consists of integrating metasomatic alteration distribution maps and lineament density patterns that were created based on the results of statistical processing of remote sensing data and the Shuttle Radar Topography Mission (SRTM) digital elevation model. This study is aimed at identifying morphological features and patterns and features of the deep structure and at identifying areas promising for the gold-polymetallic type of mineralization in the studied area. As a result of the study, it is established that areas promising for the gold–polymetallic type of mineralization in the central part of the Maloyralskaya zone are localized along transregional fault zones that intersect favorable horizons and structures and control ore mineralization and within large morphostructures complicated by radial faults of the first-order NE and NW direction with a length of up to 30 km, as well as areas with increased indices of iron oxides (II and III) and, less often, hydroxide (Al–OH and Mg–OH) and carbonate-containing minerals.
AbstractList For the first time, we apply a new approach to processing earth remote sensing data obtained by the Landsat-8 spacecraft to the central part of the Maloyralskaya zone, the Polar Urals. It consists of integrating metasomatic alteration distribution maps and lineament density patterns that were created based on the results of statistical processing of remote sensing data and the Shuttle Radar Topography Mission (SRTM) digital elevation model. This study is aimed at identifying morphological features and patterns and features of the deep structure and at identifying areas promising for the gold-polymetallic type of mineralization in the studied area. As a result of the study, it is established that areas promising for the gold–polymetallic type of mineralization in the central part of the Maloyralskaya zone are localized along transregional fault zones that intersect favorable horizons and structures and control ore mineralization and within large morphostructures complicated by radial faults of the first-order NE and NW direction with a length of up to 30 km, as well as areas with increased indices of iron oxides (II and III) and, less often, hydroxide (Al–OH and Mg–OH) and carbonate-containing minerals.
Author Nafigin, I. O.
Ivanova, Yu. N.
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CitedBy_id crossref_primary_10_3390_land13122171
crossref_primary_10_1134_S000143382470097X
Cites_doi 10.3390/rs9030233
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ContentType Journal Article
Copyright Pleiades Publishing, Ltd. 2023. ISSN 0001-4338, Izvestiya, Atmospheric and Oceanic Physics, 2023, Vol. 59, No. 10, pp. 1397–1408. © Pleiades Publishing, Ltd., 2023. Russian Text © The Author(s), 2023, published in Issledovanie Zemli iz Kosmosa, 2023, No. 6, pp. 20–34.
Pleiades Publishing, Ltd. 2023.
Copyright_xml – notice: Pleiades Publishing, Ltd. 2023. ISSN 0001-4338, Izvestiya, Atmospheric and Oceanic Physics, 2023, Vol. 59, No. 10, pp. 1397–1408. © Pleiades Publishing, Ltd., 2023. Russian Text © The Author(s), 2023, published in Issledovanie Zemli iz Kosmosa, 2023, No. 6, pp. 20–34.
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Keywords earth remote sensing data
lineaments
Landsat-8
lineament density map
digital elevation model
morphostructural map
the Polar Urals
faults
principal component analysis
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Snippet For the first time, we apply a new approach to processing earth remote sensing data obtained by the Landsat-8 spacecraft to the central part of the...
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SubjectTerms Algorithms
Aluminum
Carbonates
Climatology
Coal
Digital Elevation Models
Earth and Environmental Science
Earth Sciences
Fault lines
Fault zones
Geology
Geophysics/Geodesy
Geosensing
Gold
Hydroxides
Iron oxides
Landsat
Localization
Magnesium
Mineralization
Mineralogy
Morphology
Packaging
Quartz
Radar
Radar data
Remote sensing
Software packages
Spacecraft
Terrain models
Topography
Use of Space Information about the Earth Geophysical and Geological Research from Space
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Title Using the Landsat-8 Data Set and Shuttle Radar Topography Mission Digital Terrain Model for Gold–Polymetallic Mineralization Prediction on the Territory of the Central Part of the Malouralskaya Zone, the Polar Urals
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