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    <identifier>10.11922/sciencedb.j00001.00277</identifier>
    <datestamp>2022-06-09T10:25:49Z</datestamp>
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  <dc:date>2022-06-09</dc:date>
  <dc:title>A dataset of urban built-up area and SDG 11.3.1 indicators for the Beijing-Tianjin-Hebei region, China from 2000 to 2020</dc:title>
  <dc:identifier>doi:10.11922/sciencedb.j00001.00277</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>Based on time series of Landsat images, this study uses the Google Earth Engine cloud platform to extract built-up land in the Beijing-Tianjin-Hebei region, and integrates the results with GlobeLand30, GHS-Built, GAIA and GLC_FCS-2020 land cover products to derive the built-up land data set during the period 2000-2020 in the region. An overall accuracy higher than 90% was obtained. Based on this data set, the SDG 11.3.1 indicators-land consumption rate(LCR), population growth rate(PGR) and ratio of land consumption rate to population growth rate(LCRPGR) were calculated for each city.&amp;nbsp;</dc:description>
  <dc:subject>Beijing-Tianjin-Hebei region; built-up area; land use efficiency; SDG11; Google Earth Engine</dc:subject>
  <dc:creator>SHU Lei</dc:creator>
  <dc:creator>ZHOU Meiling</dc:creator>
  <dc:creator>Linlin Lu</dc:creator>
  <dc:creator>CHEN Fang</dc:creator>
  <dc:creator>MA Yonghuan</dc:creator>
  <dc:creator>ZHANG Shuangcheng</dc:creator>
  <dc:creator>LIU Zhaohua</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.noda.2021.0014.zh</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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