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    <responseDate>2026-10-14T12:24:45Z</responseDate>
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    <identifier>10.57760/sciencedb.IGA.0018d</identifier>
    <datestamp>2026-09-15T13:24:43Z</datestamp>
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  <dc:date>2026-09-15</dc:date>
  <dc:title>XDA28080502: Multi-Source Remote Sensing Monitoring of Key Soil Degradation Parameters in Black Soil Farmlands &amp;mdash; Soil Nutrient Remote Sensing Monitoring Thematic Map</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.iga.0018d</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset was developed from soil nutrient estimation conducted within the core demonstration area of Lishu County, Jilin Province. It comprises remote sensing estimation results and corresponding thematic distribution maps for two key soil nutrients: total nitrogen and total potassium. Technically, the source data consist of hyperspectral imagery acquired by the &amp;ldquo;Zhuhai-1&amp;rdquo; satellite, with a spatial resolution of 10 m and an estimation accuracy exceeding 80%. Both the estimation results and the thematic monitoring maps are stored in GeoTIFF format&amp;mdash;a standard raster format supporting geospatial referencing. Spatially, the dataset fully covers the core demonstration area in Lishu County, Jilin Province; the imagery was acquired in 2021, rendering the dataset suitable for research and applied studies on soil nutrient status in this region during that year.</dc:description>
  <dc:subject>Remote sensing monitoring; Soil nutrients; Degradation black soil region</dc:subject>
  <dc:creator/>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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