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 <front>
  <journal-meta>
   <journal-id journal-id-type="publisher-id">Russian Journal of Earth Sciences</journal-id>
   <journal-title-group>
    <journal-title xml:lang="en">Russian Journal of Earth Sciences</journal-title>
    <trans-title-group xml:lang="ru">
     <trans-title>Russian Journal of Earth Sciences</trans-title>
    </trans-title-group>
   </journal-title-group>
   <issn publication-format="online">1681-1208</issn>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="publisher-id">46875</article-id>
   <article-categories>
    <subj-group subj-group-type="toc-heading" xml:lang="ru">
     <subject>ОРИГИНАЛЬНЫЕ СТАТЬИ</subject>
    </subj-group>
    <subj-group subj-group-type="toc-heading" xml:lang="en">
     <subject>ORIGINAL ARTICLES</subject>
    </subj-group>
    <subj-group>
     <subject>ОРИГИНАЛЬНЫЕ СТАТЬИ</subject>
    </subj-group>
   </article-categories>
   <title-group>
    <article-title xml:lang="en">Application of remote sensing technique for drought assessment based on normalized difference drought index, a case study of Bac Binh district, Binh Thuan province Vietnam</article-title>
    <trans-title-group xml:lang="ru">
     <trans-title>Application of remote sensing technique for drought assessment based on normalized difference drought index, a case study of Bac Binh district, Binh Thuan province Vietnam</trans-title>
    </trans-title-group>
   </title-group>
   <contrib-group content-type="authors">
    <contrib contrib-type="author">
     <name-alternatives>
      <name xml:lang="ru">
       <surname>Trinh</surname>
       <given-names>Le Hung </given-names>
      </name>
      <name xml:lang="en">
       <surname>Trinh</surname>
       <given-names>Le Hung </given-names>
      </name>
     </name-alternatives>
     <xref ref-type="aff" rid="aff-1"/>
    </contrib>
    <contrib contrib-type="author">
     <name-alternatives>
      <name xml:lang="ru">
       <surname>Vu</surname>
       <given-names>Danh Tuyen </given-names>
      </name>
      <name xml:lang="en">
       <surname>Vu</surname>
       <given-names>Danh Tuyen </given-names>
      </name>
     </name-alternatives>
     <xref ref-type="aff" rid="aff-2"/>
    </contrib>
   </contrib-group>
   <aff-alternatives id="aff-1">
    <aff>
     <institution xml:lang="ru">Le Quy Don Technical University</institution>
     <country>ru</country>
    </aff>
    <aff>
     <institution xml:lang="en">Le Quy Don Technical University</institution>
     <country>ru</country>
    </aff>
   </aff-alternatives>
   <aff-alternatives id="aff-2">
    <aff>
     <institution xml:lang="ru">Hanoi University of Natural Resources and Environment</institution>
     <country>ru</country>
    </aff>
    <aff>
     <institution xml:lang="en">Hanoi University of Natural Resources and Environment</institution>
     <country>ru</country>
    </aff>
   </aff-alternatives>
   <volume>19</volume>
   <issue>2</issue>
   <fpage>1</fpage>
   <lpage>9</lpage>
   <history>
    <date date-type="received" iso-8601-date="2021-11-10T00:40:52+03:00">
     <day>10</day>
     <month>11</month>
     <year>2021</year>
    </date>
   </history>
   <self-uri xlink:href="https://rjes.ru/en/nauka/article/46875/view">https://rjes.ru/en/nauka/article/46875/view</self-uri>
   <abstract xml:lang="ru">
    <p>Drought is a natural phenomenon, which occurs in most regions in the world, caused immense damage in agricultural production and seriously affected on the environment. Droughts often occur on a large scale, so traditional observation techniques for drought monitoring are difficult, time consuming and costly. Remote sensing data provides information on the Earth's surface at different spectrum channels and and wide coverage has been used effectively in monitoring and severe drought. This paper presents the results of the study on drought assessment in Bac Binh district, Binh Thuan province using LANDSAT multispectral imagery based on normalized difference drought index NDDI. The results obtained in the study can be used to create drought level map and provides information to help managers set measures to minimize damage caused by drought.</p>
   </abstract>
   <trans-abstract xml:lang="en">
    <p>Drought is a natural phenomenon, which occurs in most regions in the world, caused immense damage in agricultural production and seriously affected on the environment. Droughts often occur on a large scale, so traditional observation techniques for drought monitoring are difficult, time consuming and costly. Remote sensing data provides information on the Earth's surface at different spectrum channels and and wide coverage has been used effectively in monitoring and severe drought. This paper presents the results of the study on drought assessment in Bac Binh district, Binh Thuan province using LANDSAT multispectral imagery based on normalized difference drought index NDDI. The results obtained in the study can be used to create drought level map and provides information to help managers set measures to minimize damage caused by drought.</p>
   </trans-abstract>
   <kwd-group xml:lang="ru">
    <kwd>Drought</kwd>
    <kwd>remote sensing</kwd>
    <kwd>normalized difference drought index</kwd>
    <kwd>LANDSAT</kwd>
    <kwd>Bac Binh district</kwd>
   </kwd-group>
   <kwd-group xml:lang="en">
    <kwd>Drought</kwd>
    <kwd>remote sensing</kwd>
    <kwd>normalized difference drought index</kwd>
    <kwd>LANDSAT</kwd>
    <kwd>Bac Binh district</kwd>
   </kwd-group>
  </article-meta>
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