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    <identifier>10.57760/sciencedb.25776</identifier>
    <datestamp>2025-05-30T15:10:25Z</datestamp>
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  <dc:date>2025-05-30</dc:date>
  <dc:title>A data set of Source-Sink Landscapes of Guangzhou</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.25776</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset comprises the Source-Sink Landscapes of Guangzhou City for the years 2004, 2009, 2014, and 2019, with a spatial resolution of 30 meters.&amp;nbsp;The data were acquired based on Landsat 5, Landsat 7, and Landsat 8 imagery, from which land surface temperature (LST), normalized difference vegetation index (NDVI), normalized difference moisture index (NDMI), and impervious surface area ratio (ISA) were calculated.The landscape type is represented by the high (high, H) and low (low, L) values of the four surface features in a fixed order (LST, NDVI, NDMI, and ISA), such that the landscape type, HLLH, denotes a landscape with high LST, low NDVI, low NDMI, and high ISA .&amp;nbsp;HLLH and HLHH were identified as 'source' landscapes, whereas the 'sink' landscapes were LLLH, LLHL, LLHH, LHLL, LHLH, LHHL, LHHH, and HLHL, and HHHH.</dc:description>
  <dc:subject>Source Landscape; Sink Landscape; Guangzhou</dc:subject>
  <dc:creator>Yaxuan Hu</dc:creator>
  <dc:creator>Junhao Chen</dc:creator>
  <dc:creator>Zixi Jiang</dc:creator>
  <dc:creator>Jiaxi He</dc:creator>
  <dc:creator>Yu Zhao</dc:creator>
  <dc:creator>Caige Sun</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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