Russian Journal of Earth Sciences Russian Journal of Earth Sciences Russian Journal of Earth Sciences 1681-1208 91146 10.2205/2025ES001002 yyjlyl ОРИГИНАЛЬНЫЕ СТАТЬИ ORIGINAL ARTICLES ОРИГИНАЛЬНЫЕ СТАТЬИ Methodological Aspects of Predictive Mineragenic Studies Using Earth Remote Sensing Data Methodological Aspects of Predictive Mineragenic Studies Using Earth Remote Sensing Data https://orcid.org/0000-0002-7551-2516 Петров Владислав Александрович Petrov Vladislav Alexandrovich rjes@wdcb.ru

доктор геолого-минералогических наук;

doctor of geological and mineralogical sciences;

 https://orcid.org/0000-0002-6679-9607 Устинов Степан Андреевич Ustinov Stepan Andreevich stevesa@mail.ru

кандидат геолого-минералогических наук;

candidate of geological and mineralogical sciences;

 https://orcid.org/0000-0001-9414-4678 Минаев Василий Александрович Minaev Vasilii Aleksandrovich minaev2403@mail.ru

кандидат геолого-минералогических наук;

candidate of geological and mineralogical sciences;

 Институт геологии рудных месторождений, петрографии, минералогии и геохимии Российской Академии Наук Россия Institute of Geology of Ore Deposits, Petrography, Mineralogy and Geochemistry Russian Academy of Sciences Russian Federation Институт геологии рудных месторождений, петрографии минералогии и геохимии (ИГЕМ) Российской академии наук The Institute of Geology of Ore Deposits, Petrography, Mineralogy, and Geochemistry, Russian Academy of Sciences 20 03 2025 20 03 2025 25 3 1 14 25 11 2024 13 02 2025 https://rjes.ru/en/nauka/article/91146/view

The article considers methodological aspects of allocation and substantiation of exploration areas for scarce types of ore minerals taking into account the concept of mineral systems and using Earth remote sensing data with the application of geoinformation and neural network technologies using the example of the Argun metallogenic zone in South-Eastern Transbaikalia. Of the entire range of areas of fundamental and exploratory scientific research, the main attention within the framework of predictive and mineragenic studies is paid to solving the following problems: 1) allocation of lineaments (fault zones) based on processing of digital elevation models; 2) determination of hydraulically active fault structures for the period of ore formation based on tectonophysical reconstructions; 3) analysis of multispectral characteristics of pre-ore, ore-accompanying and post-ore metasomatites based on statistical processing of Landsat-8 satellite data; 4) assessment of fluid-dynamic settings of deposit formation based on data on the composition, properties and genesis of mineral-forming fluids. 5) creation of weight of evidence models based on statistical algorithms for processing data on the dynamics of ore-genetic processes. The feasibility of using such an approach for setting up predictive mineragenic studies on scarce types of strategic mineral raw materials in areas with complex climatic and landscape conditions is shown.

The article considers methodological aspects of allocation and substantiation of exploration areas for scarce types of ore minerals taking into account the concept of of mineral systems and using Earth remote sensing data with the application of geoinformation and neural network technologies using the example of the Argun metallogenic zone in South-Eastern Transbaikalia. Of the entire range of areas of fundamental and exploratory scientific research, the main attention within the framework of predictive and mineragenic studies is paid to solving the following problems: 1) allocation of lineaments (fault zones) based on processing of digital elevation models; 2) determination of hydraulically active fault structures for the period of ore formation based on tectonophysical reconstructions; 3) analysis of multispectral characteristics of pre-ore, ore-accompanying and post-ore metasomatites based on statistical processing of Landsat-8 satellite data; 4) assessment of fluid-dynamic settings of deposit formation based on data on the composition, properties and genesis of mineral-forming fluids. 5) creation of weight of evidence models based on statistical algorithms for processing data on the dynamics of ore-genetic processes. The feasibility of using such an approach for setting up predictive mineragenic studies on scarce types of strategic mineral raw materials in areas with complex climatic and landscape conditions is shown.

 South-Eastern Transbaikalia Argun metallogenic zone digital elevation model remote sensing of the Earth predictive mineragenic studies strategic metals lineaments tectonophysics mineral systems ore deposits geoinformation system South-Eastern Transbaikalia Argun metallogenic zone digital elevation model remote sensing of the Earth predictive mineragenic studies strategic metals lineaments tectonophysics mineral systems ore deposits geoinformation system The work was carried out within the framework of the state assignment of IGEM RAS. The work was carried out within the framework of the state assignment of IGEM RAS.

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