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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">73973</article-id>
   <article-id pub-id-type="doi">10.2205/2024ES000914</article-id>
   <article-id pub-id-type="edn">ygbebu</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">Monitoring Land Cover Dynamics and Forest Degradation in South Sumatra Peatlands from 2015 to 2023 by Remote Sensing Application</article-title>
    <trans-title-group xml:lang="ru">
     <trans-title>Monitoring Land Cover Dynamics and Forest Degradation in South Sumatra Peatlands from 2015 to 2023 by Remote Sensing Application</trans-title>
    </trans-title-group>
   </title-group>
   <contrib-group content-type="authors">
    <contrib contrib-type="author">
     <contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-2612-0989</contrib-id>
     <name-alternatives>
      <name xml:lang="ru">
       <surname>Khakim</surname>
       <given-names>Mokhamad Yusup Nur </given-names>
      </name>
      <name xml:lang="en">
       <surname>Khakim</surname>
       <given-names>Mokhamad Yusup Nur </given-names>
      </name>
     </name-alternatives>
     <email>myusup_nkh@mipa.unsri.ac.id</email>
     <xref ref-type="aff" rid="aff-1"/>
    </contrib>
    <contrib contrib-type="author">
     <contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-3653-777X</contrib-id>
     <name-alternatives>
      <name xml:lang="ru">
       <surname>Bama</surname>
       <given-names>Akhmad Aminudin </given-names>
      </name>
      <name xml:lang="en">
       <surname>Bama</surname>
       <given-names>Akhmad Aminudin </given-names>
      </name>
     </name-alternatives>
     <bio xml:lang="ru">
      <p>доктор физико-математических наук;</p>
     </bio>
     <bio xml:lang="en">
      <p>doctor of physical and mathematical sciences;</p>
     </bio>
     <xref ref-type="aff" rid="aff-2"/>
    </contrib>
    <contrib contrib-type="author">
     <contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-0951-4596</contrib-id>
     <name-alternatives>
      <name xml:lang="ru">
       <surname>Tsuji</surname>
       <given-names>Takeshi </given-names>
      </name>
      <name xml:lang="en">
       <surname>Tsuji</surname>
       <given-names>Takeshi </given-names>
      </name>
     </name-alternatives>
     <xref ref-type="aff" rid="aff-3"/>
    </contrib>
   </contrib-group>
   <aff-alternatives id="aff-1">
    <aff>
     <institution xml:lang="ru">Universitas Sriwijaya</institution>
     <city>Indralaya</city>
     <country>Индонезия</country>
    </aff>
    <aff>
     <institution xml:lang="en">Universitas Sriwijaya</institution>
     <city>Indralaya</city>
     <country>Indonesia</country>
    </aff>
   </aff-alternatives>
   <aff-alternatives id="aff-2">
    <aff>
     <institution xml:lang="ru">Universitas Sriwijaya</institution>
     <country>Индонезия</country>
    </aff>
    <aff>
     <institution xml:lang="en">Universitas Sriwijaya</institution>
     <country>Indonesia</country>
    </aff>
   </aff-alternatives>
   <aff-alternatives id="aff-3">
    <aff>
     <institution xml:lang="ru">University of Tokyo</institution>
     <country>Япония</country>
    </aff>
    <aff>
     <institution xml:lang="en">University of Tokyo</institution>
     <country>Japan</country>
    </aff>
   </aff-alternatives>
   <pub-date publication-format="print" date-type="pub" iso-8601-date="2024-12-26T17:38:38+03:00">
    <day>26</day>
    <month>12</month>
    <year>2024</year>
   </pub-date>
   <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2024-12-26T17:38:38+03:00">
    <day>26</day>
    <month>12</month>
    <year>2024</year>
   </pub-date>
   <volume>24</volume>
   <issue>4</issue>
   <fpage>1</fpage>
   <lpage>15</lpage>
   <history>
    <date date-type="received" iso-8601-date="2024-02-03T00:00:00+03:00">
     <day>03</day>
     <month>02</month>
     <year>2024</year>
    </date>
    <date date-type="accepted" iso-8601-date="2024-05-28T00:00:00+03:00">
     <day>28</day>
     <month>05</month>
     <year>2024</year>
    </date>
   </history>
   <self-uri xlink:href="https://rjes.ru/en/nauka/article/73973/view">https://rjes.ru/en/nauka/article/73973/view</self-uri>
   <abstract xml:lang="ru">
    <p>Most Peat Hydrological Units (PHU) in South Sumatra, Indonesia, have been threatened by degradation from climate changes, human activities, and environmental factors. This study mapped land cover using Random Forest Classification and identified forest degradation using NDFI (Normalized Difference Forest Index) change analysis in several PHUs of the South Sumatra peatland from 2015 to 2023. We combined Sentinel-1, Sentinel-2, and Landsat-8 data for the land cover classification. Meanwhile, we utilized Landsat-8 to identify forest degradation. Our findings indicate that tree cover significantly decreased in 2015, 2019, and 2023, coinciding with severe drought conditions driven by El Niño events. A significant decrease in forest cover in 2019 was suggested by low tree cover, up to 47.1% of the total area of 1.054 million ha. Therefore, grassland and bare/sparse vegetation had more significant coverage percentages, reaching 22.89% and 11.40%, respectively, in 2019. Deforestation varied but generally decreased from 2015 to 2023, according to the analysis of NDFI changes. Vegetation regrowth increased notably from 2016 to 2020 and remained relatively stable afterward. In addition, forest disturbance decreased from 2015 to 2020 but slightly increased in the last few years. Although two PHUs have encountered more severe degradation, their peatland ecosystems included inside them have distinct characteristics. Specifically, the PHU of Sungai Saleh – Sungai Sugihan encompasses cultivated areas, whereas the PHU of Sungai Sugihan – Sungai Lumpur comprises protected areas. These findings highlight the need for restoration and sustainable land management to prevent further degradation</p>
   </abstract>
   <trans-abstract xml:lang="en">
    <p>Most Peat Hydrological Units (PHU) in South Sumatra, Indonesia, have been threatened by degradation from climate changes, human activities, and environmental factors. This study mapped land cover using Random Forest Classification and identified forest degradation using NDFI (Normalized Difference Forest Index) change analysis in several PHUs of the South Sumatra peatland from 2015 to 2023. We combined Sentinel-1, Sentinel-2, and Landsat-8 data for the land cover classification. Meanwhile, we utilized Landsat-8 to identify forest degradation. Our findings indicate that tree cover significantly decreased in 2015, 2019, and 2023, coinciding with severe drought conditions driven by El Niño events. A significant decrease in forest cover in 2019 was suggested by low tree cover, up to 47.1% of the total area of 1.054 million ha. Therefore, grassland and bare/sparse vegetation had more significant coverage percentages, reaching 22.89% and 11.40%, respectively, in 2019. Deforestation varied but generally decreased from 2015 to 2023, according to the analysis of NDFI changes. Vegetation regrowth increased notably from 2016 to 2020 and remained relatively stable afterward. In addition, forest disturbance decreased from 2015 to 2020 but slightly increased in the last few years. Although two PHUs have encountered more severe degradation, their peatland ecosystems included inside them have distinct characteristics. Specifically, the PHU of Sungai Saleh – Sungai Sugihan encompasses cultivated areas, whereas the PHU of Sungai Sugihan – Sungai Lumpur comprises protected areas. These findings highlight the need for restoration and sustainable land management to prevent further degradation</p>
   </trans-abstract>
   <kwd-group xml:lang="ru">
    <kwd>Peatland</kwd>
    <kwd>Land cover</kwd>
    <kwd>Degradation</kwd>
    <kwd>Random Forest</kwd>
    <kwd>NDFI</kwd>
    <kwd>South Sumatra</kwd>
    <kwd>Remote Sensing</kwd>
   </kwd-group>
   <kwd-group xml:lang="en">
    <kwd>Peatland</kwd>
    <kwd>Land cover</kwd>
    <kwd>Degradation</kwd>
    <kwd>Random Forest</kwd>
    <kwd>NDFI</kwd>
    <kwd>South Sumatra</kwd>
    <kwd>Remote Sensing</kwd>
   </kwd-group>
   <funding-group>
    <funding-statement xml:lang="ru">We would like to acknowledge Direktorat Riset, Teknologi, dan Pengabdian kepada Masyarakat (DRTPM) for financial support through “Penelitian Fundamental Reguler”, Contract Number: 164/E5/PG.02.00.PL/2023, dated 5 July 2023. We also thank the European Space Agency (ESA) for providing Sentinel-1 data, anonymous reviewers, and the academic editor for their valuable comments and suggestions</funding-statement>
    <funding-statement xml:lang="en">We would like to acknowledge Direktorat Riset, Teknologi, dan Pengabdian kepada Masyarakat (DRTPM) for financial support through “Penelitian Fundamental Reguler”, Contract Number: 164/E5/PG.02.00.PL/2023, dated 5 July 2023. We also thank the European Space Agency (ESA) for providing Sentinel-1 data, anonymous reviewers, and the academic editor for their valuable comments and suggestions</funding-statement>
   </funding-group>
  </article-meta>
 </front>
 <body>
  <p></p>
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