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 <front>
  <journal-meta>
   <journal-id journal-id-type="publisher-id">Actual directions of scientific researches of the XXI century: theory and practice</journal-id>
   <journal-title-group>
    <journal-title xml:lang="en">Actual directions of scientific researches of the XXI century: theory and practice</journal-title>
    <trans-title-group xml:lang="ru">
     <trans-title>Актуальные направления научных исследований XXI века: теория и практика</trans-title>
    </trans-title-group>
   </journal-title-group>
   <issn publication-format="print">2308-8877</issn>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="publisher-id">9798</article-id>
   <article-id pub-id-type="doi">10.12737/16504</article-id>
   <article-categories>
    <subj-group subj-group-type="toc-heading" xml:lang="ru">
     <subject>Секция «Компьютерная оптимизация технологических режимов и конструктивных параметров оборудования»</subject>
    </subj-group>
    <subj-group subj-group-type="toc-heading" xml:lang="en">
     <subject>Section &amp;#34;Computer Optimization of the Technological Modes and Design Data of the Equipment&amp;#34;</subject>
    </subj-group>
    <subj-group>
     <subject>Секция «Компьютерная оптимизация технологических режимов и конструктивных параметров оборудования»</subject>
    </subj-group>
   </article-categories>
   <title-group>
    <article-title xml:lang="en">Forest monitoring using remote sensing data and Ilwis GIS</article-title>
    <trans-title-group xml:lang="ru">
     <trans-title>Мониторинг современного состояния лесов по материалам дистанционного зондирования и ILWIS ГИС</trans-title>
    </trans-title-group>
   </title-group>
   <contrib-group content-type="authors">
    <contrib contrib-type="author">
     <name-alternatives>
      <name xml:lang="ru">
       <surname>Леменкова</surname>
       <given-names>П. А.</given-names>
      </name>
      <name xml:lang="en">
       <surname>Lemenkova</surname>
       <given-names>P. А.</given-names>
      </name>
     </name-alternatives>
    </contrib>
   </contrib-group>
   <pub-date publication-format="print" date-type="pub" iso-8601-date="2015-12-09T00:00:00+03:00">
    <day>09</day>
    <month>12</month>
    <year>2015</year>
   </pub-date>
   <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2015-12-09T00:00:00+03:00">
    <day>09</day>
    <month>12</month>
    <year>2015</year>
   </pub-date>
   <volume>3</volume>
   <issue>9</issue>
   <fpage>346</fpage>
   <lpage>350</lpage>
   <self-uri xlink:href="https://zh-szf.ru/en/nauka/article/9798/view">https://zh-szf.ru/en/nauka/article/9798/view</self-uri>
   <abstract xml:lang="ru">
    <p>Работа оценивает изменения в типах растительного покрова российского Севера в течение последних двух десятилетий. Результаты проведенной классификации спутниковых снимкой показывают экологические аспекты изменения лесотундровых экосистем. Технически, обработка данных была выполнена в ПО ГИС ILWIS, с использованием методов дешифрирования и контролируемой классификации. Результаты позволяют выявить изменения в типах и распределении растительного покрова.</p>
   </abstract>
   <trans-abstract xml:lang="en">
    <p>This paper focuses on the assessment of the changes in land cover types in Yamal peninsula over the past two decades, which shows local environmental aspects of the climate change in North. Technically, the data processing was per-formed in ILWIS GIS, using semi-automated methods of image interpretation and supervised classification. The results of the classification analysis enable to identify changes in land cover types and their distribution in Yamal.</p>
   </trans-abstract>
   <kwd-group xml:lang="ru">
    <kwd>ГИС</kwd>
    <kwd>растительный покров</kwd>
    <kwd>спутниковые снимки</kwd>
   </kwd-group>
   <kwd-group xml:lang="en">
    <kwd>GIS</kwd>
    <kwd>Vegetation Cover</kwd>
    <kwd>Remote Sensing Data</kwd>
   </kwd-group>
  </article-meta>
 </front>
 <body>
  <p>УДК 528.9МОНИТОРИНГ СОВРЕМЕННОГО СОСТОЯНИЯ ЛЕСОВ ПО МАТЕРИАЛАМ ДИСТАНЦИОННОГО ЗОНДИРОВАНИЯ И ILWIS ГИСFOREST MONITORING USING REMOTE SENSING DATA AND ILWIS GISЛеменкова П.А., аспирант, Карлов университет, Институт экологических исследованийг. Прага, ЧехияDOI: 10.12737/16504 Аннотация: Работа оценивает изменения в типах растительного покрова российского Севера в течение последних двух десятилетий. Результаты проведенной классификации спутниковых снимкой показывают экологические аспекты изменения лесотундровых экосистем. Технически, обработка данных была выполнена в ПО ГИС ILWIS, с использованием методов дешифрирования и контролируемой классификации. Результаты позволяют выявить изменения в типах и распределении растительного покрова.Summary: This paper focuses on the assessment of the changes in land cover types in Yamal peninsula over the past two decades, which shows local environmental aspects of the climate change in North. Technically, the data processing was performed in ILWIS GIS, using semi-automated methods of image interpretation and supervised classification. The results of the classification analysis enable to identify changes in land cover types and their distribution in Yamal.Keywords: ГИС, растительный покров, спутниковые снимкиКлючевые слова: GIS, Vegetation Cover, Remote Sensing Data  Changes in the land cover types in the Russian North are caused by various reasons. These include multiple ecological and social factors, such as permafrost degradation, reindeer grazing and gas-field development, as well as overall climate and environmental changes [6]. The research area is geographically located on the north-western part of Yamal, West Siberia. The physical-geographical setting of the research area naturally defines its environmental conditions. Geomorphology of Yamal is flat homogeneous land with maximal elevations lower than 90 m [6]. The lowland region creates ideal conditions for the world’s largest contiguous high-latitude wetland system, which covers in total 900,000 km2 of peatlands [4]. </p>
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 <back>
  <ref-list>
   <ref id="B1">
    <label>1.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Du, P., Li, X., Cao, W., Luo, Y., and Zhang, H., 2010a. Monitoring urban land cover and vegetation change by multi-temporal remote sensing information. Mining Science and Technology, 20, 0922-0932.</mixed-citation>
     <mixed-citation xml:lang="en">Du, P., Li, X., Cao, W., Luo, Y., and Zhang, H., 2010a. Monitoring urban land cover and vegetation change by multi-temporal remote sensing information. Mining Science and Technology, 20, 0922-0932.</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B2">
    <label>2.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Du, H., Cui, R., Zhou, G., Shi, Y., Xu, X., Fan, W., and Lu, Y., 2010b. The responses of Moso bamboo (Phyllostachys heterocycla var. pubescens) forest aboveground biomass to Landsat TM spectral reflectance and NDVI. Acta Ecologica Sinica, 30, 257-263.</mixed-citation>
     <mixed-citation xml:lang="en">Du, H., Cui, R., Zhou, G., Shi, Y., Xu, X., Fan, W., and Lu, Y., 2010b. The responses of Moso bamboo (Phyllostachys heterocycla var. pubescens) forest aboveground biomass to Landsat TM spectral reflectance and NDVI. Acta Ecologica Sinica, 30, 257-263.</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B3">
    <label>3.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Julien, Y., Sobrino, J.A., and Jimenez-Munoz, J.-C., 2011. Land use classification from multitemporal Landsat imagery using the Yearly Land Cover Dynamics (YLCD) method. International Journal of Applied Earth Observation and Geoinformation, 13, 711-720.</mixed-citation>
     <mixed-citation xml:lang="en">Julien, Y., Sobrino, J.A., and Jimenez-Munoz, J.-C., 2011. Land use classification from multitemporal Landsat imagery using the Yearly Land Cover Dynamics (YLCD) method. International Journal of Applied Earth Observation and Geoinformation, 13, 711-720.</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B4">
    <label>4.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Kremenetski, K.V., Velichko, A.A., Borisova, O.K., MacDonald, G.M., Smith, L.C., Frey, K.E., Orlova, L.A., 2003. Peatlands of the Western Siberian lowlands: current knowledge on zonation, carbon content and Late Quaternary history. Quaternary Science Reviews, 22, 703-723.</mixed-citation>
     <mixed-citation xml:lang="en">Kremenetski, K.V., Velichko, A.A., Borisova, O.K., MacDonald, G.M., Smith, L.C., Frey, K.E., Orlova, L.A., 2003. Peatlands of the Western Siberian lowlands: current knowledge on zonation, carbon content and Late Quaternary history. Quaternary Science Reviews, 22, 703-723.</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B5">
    <label>5.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Virtanen, T., Mikkola, K., Patova, E., and Nikula, A., 2002. Satellite image analysis of human caused changes in the tundra vegetation around the city of Vorkuta, north-European Russia. Environmental Pollution, 120, 647-658.</mixed-citation>
     <mixed-citation xml:lang="en">Virtanen, T., Mikkola, K., Patova, E., and Nikula, A., 2002. Satellite image analysis of human caused changes in the tundra vegetation around the city of Vorkuta, north-European Russia. Environmental Pollution, 120, 647-658.</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B6">
    <label>6.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Walker D.A., Leibman M.O., Epstein H.E., Forbes B.C., Bhatt U.S., Raynolds M.K., Comiso J.C., Gubarkov A.A., Khomutov A.V., Jia. G.J., Kaarlejärvi E., Kaplan J.O., Kumpula T., Kuss P., Matyshak G., Moskalenko N.G., Orekhov P., Romanovsky V.E., Ukraintseva N.G., and Yi Q., (2009), Spatial and temporal patterns of greenness on the Yamal Peninsula, Russia: interactions of ecological and social factors affecting the Arctic normalized difference vegetation index. Environmental Research Letters 4, 045004 (16).</mixed-citation>
     <mixed-citation xml:lang="en">Walker D.A., Leibman M.O., Epstein H.E., Forbes B.C., Bhatt U.S., Raynolds M.K., Comiso J.C., Gubarkov A.A., Khomutov A.V., Jia. G.J., Kaarlejärvi E., Kaplan J.O., Kumpula T., Kuss P., Matyshak G., Moskalenko N.G., Orekhov P., Romanovsky V.E., Ukraintseva N.G., and Yi Q., (2009), Spatial and temporal patterns of greenness on the Yamal Peninsula, Russia: interactions of ecological and social factors affecting the Arctic normalized difference vegetation index. Environmental Research Letters 4, 045004 (16).</mixed-citation>
    </citation-alternatives>
   </ref>
  </ref-list>
 </back>
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