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    <identifier>10.57760/sciencedb.j00001.00781</identifier>
    <datestamp>2024-06-25T15:03:38Z</datestamp>
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  <dc:date>2024-06-25</dc:date>
  <dc:title>A 30m land use/cover change dataset from 1985 to 2020 in the floodplain of the lower Yellow River</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.j00001.00781</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The present study selected 36 Landsat5 TM remote sensing images from 1985 to 2010 and 8 GF-1 WFV remote sensing images from 2015 to 2020. By using random forest and human-computer interactive interpretation and confusion matrix accuracy evaluation, the land use/cover change data of the floodplain of the lower Yellow River in eight periods every five years from 1985 to 2020 were developed. The data has a spatial resolution of 30 m, with an overall accuracy of over 90% and a Kappa coefficient higher than 0.85.&amp;nbsp;This dataset can provide scientific data for regional ecological protection, national spatial planning, coupled natural-human system processes, mechanisms, measurements in typical regions of the Yellow River Basin.</dc:description>
  <dc:subject>Floodplain of the lower Yellow River; random forest; land use/cover change; raster data</dc:subject>
  <dc:creator>Yang Fan</dc:creator>
  <dc:creator>Zong Lijia</dc:creator>
  <dc:creator>Zhou Shengnan</dc:creator>
  <dc:creator>Yang Dongyang</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.ncdc.2023.0005.zh</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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