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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="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">soil</journal-id><journal-title-group><journal-title xml:lang="ru">Почвоведение и агрохимия</journal-title><trans-title-group xml:lang="en"><trans-title>Soil Science and Agrochemistry</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">0130-8475</issn><publisher><publisher-name>Институт почвоведения и агрохимии</publisher-name></publisher></journal-meta><article-meta><article-id custom-type="elpub" pub-id-type="custom">soil-655</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="ru"><subject>1. ПОЧВЕННЫЕ РЕСУРСЫ И ИХ РАЦИОНАЛЬНОЕ ИСПОЛЬЗОВАНИЕ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>1. SOIL RESOURCES AND THEIR RATIONAL USE</subject></subj-group></article-categories><title-group><article-title>ОПРЕДЕЛЕНИЕ АГРОХИМИЧЕСКИХ ПОКАЗАТЕЛЕЙ ПОЧВЫ НА ОСНОВЕ АЭРОФОТОСЪЕМКИ С БЕСПИЛОТНОГО ЛЕТАТЕЛЬНОГО АППАРАТА</article-title><trans-title-group xml:lang="en"><trans-title>DETERMINATION AGROCHEMICAL SOIL INDICATORS BASED ON UAV AEROPHOTO</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>Солоха</surname><given-names>М. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Solokha</surname><given-names>M. A.</given-names></name></name-alternatives><email xlink:type="simple">noemail@neicon.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff xml:lang="ru" id="aff-1"><institution>Институт почвоведения и агрохимии имени О.Н. Соколовского, г. Харьков, Украина</institution><country>Russian Federation</country></aff><pub-date pub-type="collection"><year>2018</year></pub-date><pub-date pub-type="epub"><day>30</day><month>06</month><year>2018</year></pub-date><volume>0</volume><issue>1</issue><fpage>67</fpage><lpage>76</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Солоха М.А., 2018</copyright-statement><copyright-year>2018</copyright-year><copyright-holder xml:lang="ru">Солоха М.А.</copyright-holder><copyright-holder xml:lang="en">Solokha M.A.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" 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://soil.belal.by/jour/article/view/655">https://soil.belal.by/jour/article/view/655</self-uri><abstract><p>В статье рассмотрены результаты работы по определению зависимостей микрорельефа на тестовых объектах (полях) и агрохимические почвенных показателей. Рассмотрены вопросы методического характера съемки с беспилотника, определение перечня агрохимических показателей, поиска зависимостей между ними и результаты химического анализа почвенных образцов, отобранные из микропонижений на поле и фона. В результате проведенных работ установлено, что в оптическом диапазоне сенсор с беспилотника может косвенно установить следующие показатели: углерод органического вещества, рН сол, рН вод, Са2+.</p></abstract><trans-abstract xml:lang="en"><p>The article shows the results of the work to determine the dependencies of the microrelief on test objects (fields) and agrochemical soil indices. The questions of the methodical character of shooting from a drone, the definition of a list of agrochemical indicators, the search for dependencies between them, and the results of the chemical analysis of soil samples, selected from micro-depressions on the field and background, are considered. As a result of the carried out work, it is established that in the optical range, the sensor from an UAV can indirectly establish the following parameters: carbon of organic matter, pH of salt, pH of water, Ca2+.</p></trans-abstract></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Applications of georeferenced highresolution images obtained with unmanned aerial vehicles. Part I: Description of image acquisition and processing./ R. Ballesteros [et al.] // Precision Agriculture. - 2014. - Vol. 15/6. - Р. 579-592.</mixed-citation><mixed-citation xml:lang="en">Applications of georeferenced highresolution images obtained with unmanned aerial vehicles. Part I: Description of image acquisition and processing./ R. 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