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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">gscience</journal-id><journal-title-group><journal-title xml:lang="en">Mining Science and Technology (Russia)</journal-title><trans-title-group xml:lang="ru"><trans-title>Горные науки и технологии</trans-title></trans-title-group></journal-title-group><issn pub-type="epub">2500-0632</issn><publisher><publisher-name>The National University of Science and Technology MISiIS (NUST MISIS)</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.17073/2500-0632-2019-1-65-75</article-id><article-id custom-type="elpub" pub-id-type="custom">gscience-136</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>GEOLOGY OF MINERAL DEPOSITS</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ГЕОЛОГИЯ МЕСТОРОЖДЕНИЙ ПОЛЕЗНЫХ ИСКОПАЕМЫХ</subject></subj-group></article-categories><title-group><article-title>The Method of Detection of Clay Minerals and Iron Oxide Based on Landsat Multispectral Images (as Exemplified in the Territory of Thai Nguyen Province, Vietnam)</article-title><trans-title-group xml:lang="ru"><trans-title>Методика обнаружения глинистых минералов и оксида железа по данным многозональных изображений Landsat (на примере территории провинции Тхай Нгуен, Вьетнам)</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Ле Хунг</surname><given-names>Чинь</given-names></name><name name-style="western" xml:lang="en"><surname>Trinh</surname><given-names>Le Hung</given-names></name></name-alternatives><bio xml:lang="ru"><p>Ханой.</p></bio><bio xml:lang="en"><p>Ha Noi city.</p></bio><email xlink:type="simple">trinhlehung125@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Заблоцкий</surname><given-names>В. Р.</given-names></name><name name-style="western" xml:lang="en"><surname>Zabloskii</surname><given-names>V. R.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Москва</p></bio><bio xml:lang="en"><p>Moscow.</p></bio><email xlink:type="simple">v-r-zablotskii@ya.ru</email><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Технический университет им. Ле Куи Дон.<country>Вьетнам</country></aff><aff xml:lang="en">Le Quy Don Technical University.<country>Viet Nam</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru">Московский государственный университет геодезии и картографии.<country>Россия</country></aff><aff xml:lang="en">2Moscow State University of Geodesy and Cartography.<country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2019</year></pub-date><pub-date pub-type="epub"><day>27</day><month>04</month><year>2019</year></pub-date><volume>4</volume><issue>1</issue><fpage>65</fpage><lpage>75</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Trinh L., Zabloskii V.R., 2019</copyright-statement><copyright-year>2019</copyright-year><copyright-holder xml:lang="ru">Ле Хунг Ч., Заблоцкий В.Р.</copyright-holder><copyright-holder xml:lang="en">Trinh L., Zabloskii V.R.</copyright-holder><license license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://mst.misis.ru/jour/article/view/136">https://mst.misis.ru/jour/article/view/136</self-uri><abstract><p>Landsat multispectral images have been successfully used for discovering some mineral deposits in different regions of the world. Some minerals, including clay minerals and iron oxide, can be detected by multispectral surveys due to their spectral characteristics. This paper presents the results of the application of principal component analysis and Crosta technique for detecting accumulations of clay minerals and iron oxide based on a Landsat 8 Oli multispectral image of Thai Nguyen Province, north of Vietnam. The obtained results have demonstrated the feasibility and suitability of prompt detecting mineral deposits based on the remote sensing data. The image processing methods and facilities tested in this study can be used to create maps of distribution of clay minerals and iron oxide for effective and expedient prospecting and exploration for minerals.</p></abstract><trans-abstract xml:lang="ru"><p>Многозональные изображения Landsat с успехом использовались для выявления месторождений некоторых полезных ископаемых в разных регионах мира. Некоторые минералы, в том числе глинистые минералы и оксид железа, могут быть обнаружены по данным многозональной съемки из-за их спектральных характеристик. В данной работе представлены результаты применения метода главных компонентов и технологии Crosta для обнаружения скоплений глинистых минералов и оксида железа на основе использования многозонального изображения Landsat 8 Oli провинции Тхай Нгуен, север Вьетнама. Полученные результаты показали возможность и целесообразность оперативного определения месторождения полезных ископаемых по данным дистанционного зондирования. Методы и средства обработки изображений, апробированные в этом исследовании, могут использоваться для создания карт распределения глинистых минералов и оксида железа, с целью эффективного и рационального поиска полезных ископаемых и разведки минерального сырья.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>дистанционное зондирование</kwd><kwd>метод главных компонетов</kwd><kwd>минерал</kwd><kwd>Landsat</kwd><kwd>Vietnam</kwd></kwd-group><kwd-group xml:lang="en"><kwd>remote sensing</kwd><kwd>principal component analysis</kwd><kwd>mineral</kwd><kwd>Landsat</kwd><kwd>Vietnam</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Опарин В. Н., Потапов В. П., Гинлиятуллина О. Л. 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