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    <responseDate>2026-10-12T19:55:34Z</responseDate>
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    <identifier>10.57760/sciencedb.cjae.00099</identifier>
    <datestamp>2026-06-24T19:16:49Z</datestamp>
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  <dc:date>2026-06-24</dc:date>
  <dc:title>Dataset of Remote Sensing Ecological Index (RSEI) and Driving Factors in Shanxi Province from 2000 to 2020</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.cjae.00099</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset covers the whole area of Shanxi Province from 2000 to 2020, including 5 phases of Remote Sensing Ecological Index (RSEI) raster images, 12 types of ecological driving factor raster and vector data such as topography, meteorology, land use, social economy and human activities, as well as complete statistical tables of Theil-Sen trend analysis, Mann-Kendall test, Geodetector and PLS-SEM model calculations. Processed based on open data sources including Landsat remote sensing images on GEE platform, national resource and environment database, global nighttime light data and WorldPop population dataset, the dataset can fully support researches on spatiotemporal evolution, driving mechanism and mediation effect of ecological environment in resource-based regions on the Loess Plateau. It is applicable to scientific research and teaching in fields such as ecological remote sensing, territorial spatial planning and regional ecological restoration.</dc:description>
  <dc:subject>Remote Sensing Ecological Index; Shanxi Province; Ecological Environmental Quality; PLS-SEM Model</dc:subject>
  <dc:creator>Bi Xu</dc:creator>
  <dc:rights>RESTRICTED</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/10.13287/j.1001-9332.202603.023.</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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