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    <identifier>10.57760/sciencedb.28933</identifier>
    <datestamp>2025-08-14T17:32:24Z</datestamp>
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  <dc:date>2025-08-14</dc:date>
  <dc:title>The research on the urban functional zones of Beijing, Shanghai and Chengdu involves data</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.28933</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>Road network vector from the open street map (OSM) (https://www.openstreetmap.org/), the last time to access the data in 2023. OSM, as a form of voluntary geographic information (VGI) and distributed geographic information.High-resolution GF-2 remote sensing images from China Resources Satellite Application Center (https://www.cresda.com/). The multispectral spatial resolution of the GF-2 optical satellite is 3.2 meters, and the panchromatic spatial resolution is 0.8 meters.The building data for 2022 also comes from Autonavi Maps(https://www.amap.com/), which is a vector dataset that combines the geographical location and height information (mainly floor information) of buildings.SDGSAT - 1 satellite 2022 NTL data from sustainable development goal of large data centers for international studies (https://www.sdgsat.ac.cn/). It is the first satellite for monitoring and evaluating the Sustainable Development Goals. The satellite's low-light imager has three visible light bands and one panchromatic band, with spatial resolutions of 40 meters and 10 meters respectively. The data utilized in this study issourced fromSDGSAT-1 and provided by CBASCenter of Big Data for Sustainable Development Goals (CBAS).</dc:description>
  <dc:subject> GF-2 satellite; SDGSAT-1; Urban Human Settlement Environment</dc:subject>
  <dc:creator>Zhang Tianming</dc:creator>
  <dc:creator>Wang Yansong</dc:creator>
  <dc:creator>Guo Wei</dc:creator>
  <dc:rights>RESTRICTED</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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