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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">gesj</journal-id><journal-title-group><journal-title xml:lang="en">GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY</journal-title><trans-title-group xml:lang="ru"><trans-title>GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2071-9388</issn><issn pub-type="epub">2542-1565</issn><publisher><publisher-name>Russian Geographical Society</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.24057/2071-9388-2017-10-4-117-128</article-id><article-id custom-type="elpub" pub-id-type="custom">gesj-349</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>SUSTAINABILITY</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>Устойчивое развитие</subject></subj-group></article-categories><title-group><article-title>APPLICATION OF HYPERSPECTURAL IMAGES AND GROUND DATA FOR PRECISION FARMING</article-title><trans-title-group xml:lang="ru"><trans-title></trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="western" xml:lang="en"><surname>Akhtman</surname><given-names>Y.</given-names></name></name-alternatives><bio xml:lang="en"><p>Ph.D., is Research Associate at the Geodetic Engineering Laboratory of École Polytechnique Fédérale de Lausanne (EPFL)</p></bio><email xlink:type="simple">ziminmv@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="western" xml:lang="en"><surname>Golubeva</surname><given-names>E.</given-names></name></name-alternatives><bio xml:lang="en"><p>Professor of the Environmental Science Department and Head of Education Programs “Ecology and Environmental Science” and “Landscape Planning and Design” at the Faculty of Geography, Lomonosov Moscow State University (1974 – M.Sc. in Biogeography, 1982 – Ph.D. in Biogeography, 1999 – D. Sc. in Biology)</p></bio><email xlink:type="simple">ziminmv@mail.ru</email><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="western" xml:lang="en"><surname>Tutubalina</surname><given-names>O.</given-names></name></name-alternatives><bio xml:lang="en"><p>Leading Researcher at the Laboratory of Aerospace Methods, Department of Cartography and Geoinformatics, Faculty of Geography</p></bio><email xlink:type="simple">ziminmv@mail.ru</email><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="western" xml:lang="en"><surname>Zimin</surname><given-names>M.</given-names></name></name-alternatives><bio xml:lang="en"><p>Senior Researcher at the Laboratory of Aerospace Methods, Department of Cartography and Geoinformatics, Faculty of Geography, M.V. Lomonosov State University. He graduated from the Faculty of Geography in 2001 (M.Sc. Cartography and GIS) and then received Ph.D. in Cartography and GIS (2009</p></bio><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff xml:lang="en" id="aff-1"><institution>Geodetic Engineering Laboratory of École Polytechnique Fédérale de Lausanne&#13;
(EPFL), Switzerland</institution><country>Switzerland</country></aff><aff xml:lang="en" id="aff-2"><institution>M.V. Lomonosov Moscow State University</institution><country>Russian Federation</country></aff><pub-date pub-type="collection"><year>2017</year></pub-date><pub-date pub-type="epub"><day>29</day><month>12</month><year>2017</year></pub-date><volume>10</volume><issue>4</issue><fpage>117</fpage><lpage>128</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Akhtman Y., Golubeva E., Tutubalina O., Zimin M., 2017</copyright-statement><copyright-year>2017</copyright-year><copyright-holder xml:lang="ru">Akhtman Y., Golubeva E., Tutubalina O., Zimin M.</copyright-holder><copyright-holder xml:lang="en">Akhtman Y., Golubeva E., Tutubalina O., Zimin M.</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://ges.rgo.ru/jour/article/view/349">https://ges.rgo.ru/jour/article/view/349</self-uri><abstract><p>Crops, like other plants, clearly react to various changes in both natural and anthropogenic factors (herbicides, pesticides, fertilizers, etc.), which affects the amount of phytomass, its fractional composition, and developmental and physiological state of the plant, and, accordingly, is reflected in the spectral image. Data on spectral characteristics of plants allow users to determine quickly and with a high degree of reliability various indicators of the state of agricultural crops and thus improve the efficiency of agrotechnical practices and the use of land resources and facilitate the implementation of the precision farming concept. Reflective properties of plants (and hence crops) carry a large amount of meaningful information about the species, stage of development, and morpho-physiological state, allowing determination of the interrelations between the spectrometric characteristics and temporal physiological parameters. The paper presents the results of monitoring of the state of winter wheat and corn in experimental fields in southern and central Russia in the spring and summer of 2016.</p><p> </p></abstract><kwd-group xml:lang="en"><kwd>remote sensing data</kwd><kwd>hyperspectral images</kwd><kwd>precision farming</kwd><kwd>spectral characteristics</kwd><kwd>agricultural crops</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">Bao Y., Xu K., Min J., Xu J. (2013) Estimating wheat shoot nitrogen content at vegetative stage from in situ hyperspectral measurements. Crop science, 5, pp. 2063–2071.</mixed-citation><mixed-citation xml:lang="en">Bao Y., Xu K., Min J., Xu J. (2013) Estimating wheat shoot nitrogen content at vegetative stage from in situ hyperspectral measurements. 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