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    <identifier>10.57760/sciencedb.26867</identifier>
    <datestamp>2025-08-29T10:12:47Z</datestamp>
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  <dc:date>2025-08-29</dc:date>
  <dc:title>A Dataset of Land Use Type  in the Yellow River Delta (1976-2024)</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.26867</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset is primarily based on 11 temporal phases of Landsat satellite imagery from 1976 to 2024, supplemented with high-resolution imagery and ground-truth survey data. An object-oriented approach was employed to interpret and classify land use types in the Yellow River Delta. The results indicate that the land use classification achieved an overall accuracy exceeding 80%, with Kappa coefficients greater than 0.8. The classification outcomes were further refined and manually corrected, ultimately resulting in a long-term vector dataset of land use for the Yellow River Delta spanning 1976&amp;ndash;2024.&amp;nbsp;</dc:description>
  <dc:subject>Yellow River Delta; land use; remote sensing interpretation; object-oriented method</dc:subject>
  <dc:creator>Wang Xiaojie</dc:creator>
  <dc:creator>Yu Dongxue</dc:creator>
  <dc:creator>Zhao Qingyun</dc:creator>
  <dc:creator>Zhang Xiaoshuai</dc:creator>
  <dc:creator>Song Weimin</dc:creator>
  <dc:creator>Chu Xiaojing</dc:creator>
  <dc:creator>Han Guangxuan</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-sa/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/10.11922/11-6035.csd.2025.0121.zh</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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