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    <identifier>10.57760/sciencedb.24434</identifier>
    <datestamp>2025-07-28T09:04:05Z</datestamp>
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  <dc:date>2025-07-28</dc:date>
  <dc:title>Remote sensing image land use classification</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.24434</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset is a land use classification method that uses multidimensional feature index coupled decision tree correction. The classification results were applied in the silt coastal zone of the Hangzhou Bay coastal plain, covering land use classification information at five key time points (2000, 2007, 2015, 2020, 2024) from 2000 to 2024. The land in the study area was divided into eight categories: vegetation-covered areas, offshore waters, cultured waters, paddy fields, other water bodies, swamps, construction land and unused land.&amp;nbsp;&amp;nbsp;</dc:description>
  <dc:subject>remote sensing; land use; classification</dc:subject>
  <dc:creator>Xu Yuying</dc:creator>
  <dc:creator>Xu Rouyi</dc:creator>
  <dc:creator>Ye Jinyang</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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