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    <responseDate>2026-10-11T04:17:32Z</responseDate>
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    <identifier>10.57760/sciencedb.39948</identifier>
    <datestamp>2026-06-15T11:34:55Z</datestamp>
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  <dc:date>2026-06-15</dc:date>
  <dc:title>TLVCI Index and Built-Up Area Results</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.39948</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset is derived from the research work on the extraction of built-up areas based on multi-source remote sensing data - taking Baoding City as an example. The dataset system integrates multi-source remote sensing images and auxiliary data from the jurisdiction of Baoding City in 2020, aiming to solve the problem of vegetation confusion caused by &amp;quot;light overflow&amp;quot; in traditional nighttime light data extraction of built-up areas. The dataset includes: preprocessed NPP/VIIRS nighttime light data, Landsat 8 OLI/TIRS optical and thermal infrared data preprocessing results, and reference built-up area data with administrative division vector boundaries for accuracy verification. All raster data have been uniformly re projected to WGS1984_ Albers equal area projection, and mosaic, study area cropping, etc. have been completed, which can be used for TLVCI (Surface Temperature Nighttime Light Vegetation Constraint Index) construction.&amp;nbsp;</dc:description>
  <dc:subject>TLVCI; built-up area; remote sensing</dc:subject>
  <dc:creator>Li Zhen</dc:creator>
  <dc:rights>RESTRICTED</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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