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    <identifier>10.57760/sciencedb.j00001.01184</identifier>
    <datestamp>2025-12-19T16:43:55Z</datestamp>
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  <dc:date>2025-12-19</dc:date>
  <dc:title>A dataset of mangrove forests distribution in Leizhou Peninsula during 2019-2023</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.j00001.01184</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset uses Sentinel-2 constellation cloud free images, extracts coastal buffer zones, selects suitable scale segmentation images, and uses object-oriented random forest method to classify and extract mangrove forests shapefiles. Finally, threshold optimization is performed and organized. The dataset includes shapefiles of mangrove forests in nine districts and counties of Leizhou Peninsula in 2019, 2021, and 2023. The file naming format is &amp;quot;district name+mangroves_year&amp;quot;, using the WGS_1984_UTM coordinate system, with a spatial resolution of 10 meters, and totaling 61MB of data volume.</dc:description>
  <dc:subject>Leizhou Peninsula;  mangrove forests; Sentinel-2; remote sensing; shapefile</dc:subject>
  <dc:creator>ye jin liang</dc:creator>
  <dc:creator>Zhu Yan</dc:creator>
  <dc:creator>Xiao He</dc:creator>
  <dc:creator>Ma Jin</dc:creator>
  <dc:creator>Liu Siyu</dc:creator>
  <dc:creator>Liu Dazhao</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/10.11922/11-6035.csd.2024.0194.zh</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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