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    <identifier>10.57760/sciencedb.jee.00002</identifier>
    <datestamp>2026-03-16T18:50:35Z</datestamp>
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<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:date>2026-03-16</dc:date>
  <dc:title>Remote sensing ecological index dataset of the Loess Plateau from 2000 to 2024</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.jee.00002</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset is based on the Google Earth Engine (GEE) cloud platform, utilizing MODIS series remote sensing data and principal component analysis (PCA) to construct a remote sensing ecological index (RSEI) dataset with a spatial resolution of 1 km on the Loess Plateau from 2000 to 2024. By combining land use/cover data and correlation analysis methods, the quality and reliability of RSEI data were validated from two perspectives: the correspondence between the spatial distribution of RSEI levels and regional ecosystem types, as well as the correlation between RSEI and LAI.&amp;nbsp;</dc:description>
  <dc:subject>Loess Plateau; ecological quality; remote sensing ecological index</dc:subject>
  <dc:creator>Yang Kang</dc:creator>
  <dc:creator>Cao Yanping</dc:creator>
  <dc:creator>Wang Shaokun</dc:creator>
  <dc:creator>Liu Dandan</dc:creator>
  <dc:creator>Mu Chaolin</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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