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    <identifier>10.11922/sciencedb.695</identifier>
    <datestamp>2018-11-29T20:40:28Z</datestamp>
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<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:date>2018-11-29</dc:date>
  <dc:title>A dataset of urban impervious surface of Hainan Island, based on Sentinel-1 SAR and Sentinel-2A optical images</dc:title>
  <dc:identifier>doi:10.11922/sciencedb.695</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>Urban impervious surface is an important indicator of urbanization. It is also an important indicator to measure the health of urban ecosystems. In the context of global urbanization, impervious surface extraction has become a hotspot of scholarly attention. This dataset is derived from a fast large-area impervious surface extraction method based on a combined use of optical and SAR data. This dataset has a spatial coverage of 18&amp;deg;10&amp;prime;N&amp;ndash;20&amp;deg;10&amp;prime;N, 108&amp;deg;37&amp;prime;E&amp;ndash;111&amp;deg;03&amp;prime;E, and a time span of the year 2015. 10,000 randomly selected validation points were utilized to assess the accuracy of this dataset. The overall accuracy (OA) and Kappa coefficients were 90.71% and 0.81, respectively. Additionally, our dataset was compared with existing mainstream land cover products (i.e. GlobalLand30 (30 m), Liu&amp;rsquo;s products and GHS). Results show that our products have a higher extraction accuracy and are more refined in exhibiting internal structures of human settlements.</dc:description>
  <dc:subject>Urban impervious layer;  Sentinel-1 SAR;  Sentinel-2A;  Google Earth Engine</dc:subject>
  <dc:creator>朱秀林</dc:creator>
  <dc:creator>赵相伟</dc:creator>
  <dc:creator>杜文杰</dc:creator>
  <dc:creator>孙中昶</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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