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    <identifier>10.57760/sciencedb.31333</identifier>
    <datestamp>2025-11-14T18:19:49Z</datestamp>
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  <dc:date>2025-11-14</dc:date>
  <dc:title>Zhanjiang Anpu Port 2022 Mangrove Classification Dataset</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.31333</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>Based on Sentinel-1/2 image data, coupled with multi-source remote sensing image features and ensemble learning algorithms, spectral index features, radar polarization features, and temporal harmonic spectral features are used to classify mangrove tree species in Zhanjiang Mangrove National Nature Reserve. The dataset is set in 2022 (validated by UAV LiDAR data), with a spatial resolution of 10m, an overall accuracy of 88.03%, and a Kappa coefficient of 0.86. Among them, labels 0-5 represent 0-Magnolia, 1-Avicennia, 2-Paulownia, 3-Sapindaceae, 4-Red Magnolia, and 5 Background respectively.&amp;nbsp;</dc:description>
  <dc:subject>Mangroves; Sentinel-1; Sentinel-2</dc:subject>
  <dc:creator>xue yu fei</dc:creator>
  <dc:creator>Bai Nana</dc:creator>
  <dc:creator>Liu Jie</dc:creator>
  <dc:creator>Chen Ye</dc:creator>
  <dc:creator>Huang Xiaohui</dc:creator>
  <dc:creator>Fu Yingchun</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/10.12082/dqxxkx.2024.240334</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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