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    <identifier>10.57760/sciencedb.j00001.01142</identifier>
    <datestamp>2024-07-29T16:46:27Z</datestamp>
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  <dc:date>2024-07-29</dc:date>
  <dc:title>30 m Resolution Impervious Surface Covering Dataset for the Qinghai-Tibet Plateau in 2020 and 2022</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.j00001.01142</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The Qinghai-Tibet Plateau 30 m resolution impervious surface covering dataset was derived from Landsat 8 annual median synthetic data, 2m high-resolution data, and topographic data using a multi-feature fusion model. Impervious surface samples were initially constructed using a stratified sampling method with geomatics knowledge constraints. A fuzzy category training strategy was employed in the model training process. The impervious surface covering datasets for 2020 and 2022 exhibited a precision of 99.69% and 98.84%, respectively, with a recall of 84.40% and 79.40%. Additionally, the F1-Score was 0.91408 and 0.88059, respectively. These results were saved in GeoTiff format, providing crucial data support for research on ecological environmental protection, urbanization monitoring, and human activities in the Qinghai-Tibet Plateau.</dc:description>
  <dc:subject>impervious surfaces; Qinghai-Tibet Plateau; Landsat 8; multi-feature fusion</dc:subject>
  <dc:creator>Zheng Kaiyuan</dc:creator>
  <dc:creator>Yin Ranyu</dc:creator>
  <dc:creator>He Guojin</dc:creator>
  <dc:creator>Yang Ruiqing</dc:creator>
  <dc:creator>Wang Guizhou</dc:creator>
  <dc:creator>Long Tengfei</dc:creator>
  <dc:creator>Gong Chengjuan</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-sa/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/10.11922/11-6035.csd.2024.0109.zh</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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