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    <identifier>10.57760/sciencedb.26971</identifier>
    <datestamp>2025-07-04T16:37:02Z</datestamp>
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  <dc:date>2025-07-04</dc:date>
  <dc:title>China 30-m 16-day Landsat FAPAR dataset</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.26971</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The Landsat FAPAR dataset has a spatial resolution of 30 meters and a temporal resolution of 16 days, covering China from 2013 to 2021. The dataset is in TIF format, stored according to MODIS grid tiles, and uses sinusoidal projection. The valid value range is 0-250, with a conversion coefficient of 0.004 to derive FAPAR values, and 255 as the invalid fill value. The dataset was generated from Landsat surface reflectance using the SSA-BiTCN-Attention time series deep learning model, with validation accuracy showing RMSE of 0.10-0.12.</dc:description>
  <dc:subject> Landsat; FAPAR; China; Spatio-temporal seamless</dc:subject>
  <dc:creator>Zhang Guodong</dc:creator>
  <dc:creator>Yin Gaofei</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/10.1016/j.rse.2025.114783</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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