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    <identifier>10.57760/sciencedb.30916</identifier>
    <datestamp>2025-11-07T18:26:31Z</datestamp>
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  <dc:date>2025-11-07</dc:date>
  <dc:title>Global land surface temperature thematic climate dataset for 2008 - 2019 based on FY-3 VIRR radiometric recalibration data</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.30916</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset has significantly improved the accuracy and consistency of historical Land Surface Temperature data from China's Fengyun-3 satellite series. To address past inconsistencies, researchers developed a new, unified processing algorithm. This effort has produced a refined, high-quality global climate dataset from 2008 to 2019. The updated data shows a major boost in accuracy compared to the in-situ measurements and aligns well with MODIS data. This long-term dataset is crucial to accurately monitor land-surface changes and global climate trends research. The dataset are stored in HDF format at 0.05&amp;deg; spatial resolution, organized by satellite (FY-3A/B/C), and further subdivided by year, month, and day in directories.</dc:description>
  <dc:subject>Fengyun-3; Land Surface Temperature; Visible Infrared Radiometer; radiometric re-calibration; thematic climate dataset</dc:subject>
  <dc:creator>L. X. DONG</dc:creator>
  <dc:creator>Lin Sun</dc:creator>
  <dc:creator>Peng Zhang</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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