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    <identifier>10.57760/sciencedb.15208</identifier>
    <datestamp>2024-06-28T08:32:17Z</datestamp>
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<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:date>2024-06-28</dc:date>
  <dc:title>Land use/land cover fusion dataset in Guangxi, China, 2000, 2010 and 2020</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.15208</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This study selected six widely used remote sensing-based data products for land use/land cover, including the ESA GlobCover (ESAGC), ESRI Land Use/Land Cover (ESRI-LULC), Finer Resolution Observation and Monitoring of Global Land Cover (FROM-GLC), China Land Cover Dataset (CLCD), Global Land Cover product with Fine Classification System at 30 m (GLC_FCS30) and GlobeLand30 (GLC30). By reclassifying multiple data products and proposing data fusion methods based on spatial consistency analysis, a new high-precision and consistent land use/land cover data product for Guangxi in 2020 was synthesized, with a correlation coefficient greater than 0.94 with local statistical yearbook data. In this study, CLCD, GLC_FCS30, and GLC30 were further selected to form three-phase land use/land cover fused data for Guangxi in 2000, 2010, and 2020. This study can provide a methodological basis for the integration and application of regional-scale land use/land cover data products, as well as provide basic data for carrying out research on regional land cover changes and supporting rational management and sustainable development of regional land resources.</dc:description>
  <dc:subject>Guangxi; Land use/Land cover; spatial consistency analysis; data fusion</dc:subject>
  <dc:creator>hao xuan</dc:creator>
  <dc:creator>Jia Guoqiang</dc:creator>
  <dc:creator>Qiu Yubao</dc:creator>
  <dc:creator>Ma Jiangming</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.csd.2023.0186.zh</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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