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    <identifier>10.57760/sciencedb.16649</identifier>
    <datestamp>2025-03-05T09:03:36Z</datestamp>
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  <dc:date>2025-03-05</dc:date>
  <dc:title>A multi-source typical land cover classification dataset of the Field Park in Wuhan (2020)</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.16649</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The dataset was collected using unmanned aerial vehicles (UAVs) equipped with a multispectral camera and a dual-light thermal infrared camera over the Feild Park in Wuhan. Data processing and annotation were conducted using ArcGIS and Labelme software. The geographical scope is around 114.01&amp;deg;E, 30.45&amp;deg;N. The specific areas include the Field Park and its surrounding areas in Wuhan, Hubei Province, China. The data volume is 334 MB. This dataset includes three types of data sources: visible light, thermal infrared, and five single-band multispectral data, with spatial resolutions of 0.0700 m, 0.2684 m, and 0.1540 m, respectively. It covers six typical land cover types: water bodies, vegetation, bare land, buildings, brick roads, and asphalt roads. In total, it contains a total of 612 image tiles and corresponding labels. The imagery provided in this dataset features both a high spatial resolution of 7 centimeters and contains rich spectral information in visible light, multispectral, and thermal infrared bands, enabling a more comprehensive description of land cover characteristics.</dc:description>
  <dc:subject>multi-source data; land cover classification; multispectral images</dc:subject>
  <dc:creator>Zheng Daoyuan</dc:creator>
  <dc:creator>Hu Qingwu</dc:creator>
  <dc:creator>Lan Yizhou</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/10.11922/11-6035.csd.2024.0124.zh</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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