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    <responseDate>2026-10-14T03:28:00Z</responseDate>
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    <identifier>10.57760/sciencedb.43265</identifier>
    <datestamp>2026-07-17T10:07:22Z</datestamp>
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  <dc:date>2026-07-17</dc:date>
  <dc:title>GLC_FCS10AD land-cover dynamic dataset from 2017 to 2024</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.43265</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>GLC_FCS10AD is the first global 10 m annual land-cover dynamics dataset with 30 land-cover classes covering 2017&amp;ndash;2024. The dataset was generated using an AlphaEarth Foundation (AEF)-driven monitoring framework that integrates adaptive change detection, localized land-cover updating, and spatiotemporal consistency optimization to produce temporally consistent annual land-cover maps. Validation using globally distributed annually interpreted reference samples demonstrates an overall accuracy of 84.23%&amp;ndash;84.42%, while independent third-party validation over the United States achieves 87.64%&amp;ndash;87.72% overall accuracy. GLC_FCS10AD provides detailed information on annual global land-cover changes and supports applications in global change research, ecosystem monitoring, carbon-cycle assessment, biodiversity conservation, agricultural monitoring, and sustainable land management.</dc:description>
  <dc:subject>GLC_FCS10AD; AlphaEarth; land cover</dc:subject>
  <dc:creator>Liangyun Liu</dc:creator>
  <dc:creator>Xiao Zhang</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:relation>http://www.doi.org/10.5194/essd-17-4039-2025</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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