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 in | Izvestiya. Atmospheric and oceanic physics Vol. 59; no. 10; pp. 1397 - 1408 | 
|---|---|
| Main Authors | , | 
| Format | Journal Article | 
| Language | English | 
| Published | 
        Moscow
          Pleiades Publishing
    
        01.12.2023
     Springer Nature B.V  | 
| Subjects | |
| Online Access | Get full text | 
| ISSN | 0001-4338 1555-628X  | 
| DOI | 10.1134/S0001433823120125 | 
Cover
| 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. | 
    
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| 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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| Cites_doi | 10.3390/rs9030233 10.1039/CS9962500401 10.1016/j.asr.2011.09.024 10.1080/01431161.2019.1648906 10.1016/j.cageo.2010.01.009 10.1029/2005RG000183 10.22146/ijg.37442 10.1016/j.jafrearsci.2006.04.005 10.1080/01431160600606882 10.1134/S0016852118050060 10.3390/rs13030519 10.3133/ofr20121048 10.1016/j.rse.2014.02.001 10.1127/1860-1804/2012/0163-0009 10.1029/2002JD002903 10.1016/j.polar.2018.02.004 10.1007/978-3-662-55876-8_16 10.13140/RG.2.2.20851.99363 10.5194/isprsarchives-XL-1-W1-239-2013 10.1007/978-3-319-39292-7_7 10.1134/S0001433820120440 10.31857/S0205961423010062 10.1007/s12665-020-8845-4  | 
    
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| 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.  | 
    
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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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