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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">10.17073/2500-0632-2019-4-309-317</article-id><article-id custom-type="elpub" pub-id-type="custom">gscience-177</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>SAFETY IN MINING AND PROCESSING INDUSTRY AND ENVIRONMENTAL PROTECTION</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ТЕХНОЛОГИЧЕСКАЯ БЕЗОПАСНОСТЬ В МИНЕРАЛЬНО-СЫРЬЕВОМ КОМПЛЕКСЕ И ОХРАНА ОКРУЖАЮЩЕЙ СРЕДЫ</subject></subj-group></article-categories><title-group><article-title>Hydrothermal Minerals Mapping using based on Remotely Sensed Data from Sentinel 2 Sattelite: a Case Study in Vinh Phuc Province, Northern Vietnam</article-title><trans-title-group xml:lang="ru"><trans-title>Картирование гидротермальных минералов по данным дистанционного (спутникового) зондирования с использованием спектрозонального прибора Сентинель 2 на примере провинции Винь-Пхук, Северный 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>Чинь</surname><given-names>Ле Хунг</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>Hanoi</p></bio><email xlink:type="simple">trinhlehung125@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Технический Университет Ле Куй Дон<country>Вьетнам</country></aff><aff xml:lang="en">Le Quy Don Technical University<country>Viet Nam</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2019</year></pub-date><pub-date pub-type="epub"><day>30</day><month>01</month><year>2020</year></pub-date><volume>4</volume><issue>4</issue><fpage>309</fpage><lpage>317</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Trinh L.H., 2020</copyright-statement><copyright-year>2020</copyright-year><copyright-holder xml:lang="ru">Чинь Л.Х.</copyright-holder><copyright-holder xml:lang="en">Trinh L.H.</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/177">https://mst.misis.ru/jour/article/view/177</self-uri><abstract><p>This paper presents the experiences obtained in the application of Principal Component Analysis (PCA) method to map hydrothermal minerals based on remotely sensed data. In this study, Sentinel-2B MultiSpectral Instrument (MSI) image is used to detect distribution of hydroxyl-bearing minerals in Vinh Phuc province, northern Vietnam. Four bands of Sentinel-2B image including blue band (band 2), Vegetation Red Edge band (band 8A) and SWIR bands (band 11 and 12) are used to calculate the Principal Components, then and then select the Principal Component, which containing provides information on the hydrothermal minerals information. The obtained results findings show that the methodology and data are effective in detecting and mapping hydrothermal mineralization.</p></abstract><trans-abstract xml:lang="ru"><p>В данной статье представлен опыт, полученный при применении метода анализа главных компонентов (PCA) для картирования гидротермальных минералов на основе данных дистанционного зондирования. В этом исследовании изображения, полученные посредством дистанционного (спутникового) зондирования с использованием спектрозонального прибора Сентинель 2Б, используются для определения распределения минералов, содержащих гидроксил, в провинции Винь-Пхук, Северный Вьетнам. Четыре полосы (диапазона) изображения Сентинель 2Б, включая синюю полосу (полоса 2), полосу растительности (красный (длинноволновый) край спектра) (полоса 8A) и полосы SWIR (коротковолновая ИК область спектра, полосы 11 и 12), используются для расчета главных компонентов, а затем выбирается главный компонент, несущий информацию о гидротермальных минералах. Полученные результаты показывают, что рассматриваемые методология и данные эффективны при обнаружении и картировании гидротермальной минерализации.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>дистанционное зондирование</kwd><kwd>гидроксил-содержащие минералы</kwd><kwd>анализ главных компонентов</kwd><kwd>Сентинель 2 (Sentinel 2)</kwd><kwd>Вьетнам</kwd></kwd-group><kwd-group xml:lang="en"><kwd>Remote sensing</kwd><kwd>hydroxyl-bearing minerals</kwd><kwd>Principle Component Analysis</kwd><kwd>Sentinel 2</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">Abrams M. J. Remote sensing of porphyry copper in Southern Arizona. Economic Geology. 1983;78:591–604.</mixed-citation><mixed-citation xml:lang="en">Abrams M. J. Remote sensing of porphyry copper in Southern Arizona. 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