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    <identifier>10.57760/sciencedb.07849</identifier>
    <datestamp>2023-04-03T09:34:10Z</datestamp>
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  <dc:date>2023-04-03</dc:date>
  <dc:title>Monthly gap-filled CCI soil moisture over region of China (Combined Product)</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.07849</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset includes the monthly gap-filled CCI combined soil moisture from 1982 to 2020, the spatial resolution is 0.25&amp;deg;. The product is generated by XGBoost and the used covariates of soil moisture include precipitation, albedo, surface temperature, air temperature and soil moisture from CMA-RA/Land reanalysis data; NDVI from GIMMS and MODIS; GTOPO30 DEM; soil texture from HWSD; and temporal information. The overall correlation coefficient R and root-mean-square error (RMSE) compared the 5cm-depth observations from ISMN (192 sites) is 0.554 and 0.0977 cm3cm-3 which is slightly better than the original CCI data.</dc:description>
  <dc:subject>microwave soil moisture; machine learning; gap-filled product; combined product; China</dc:subject>
  <dc:creator>Hao Sun</dc:creator>
  <dc:creator>Xu Qian</dc:creator>
  <dc:creator>Zhiyu Zhao</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/publicdomain/zero/1.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/https://doi.org/10.3390/rs13142848</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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