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    <responseDate>2026-10-15T04:36:24Z</responseDate>
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    <identifier>10.57760/sciencedb.03398</identifier>
    <datestamp>2023-03-13T15:42:31Z</datestamp>
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  <dc:date>2023-03-13</dc:date>
  <dc:title>A dataset of 1km Grid orchard density in China(2020）</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.03398</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>Orchard is one of the most important types of plantations in China, which has important economic value and is of great significance for rural revitalization and farmers' income increase. The spatial distribution of orchards reflects the endowment of agricultural resources, which can provide a reference for the development of regional agricultural resources and the formulation of special agricultural product planning, and is of great significance for the sustainable development of rural areas. This paper uses the 30 meter land use grid data of the National Land Change Survey in 2020, uses the kilometer grid production software, and calculates the grid space to obtain the 1km grid orchard density data set of China in 2020. This data set can be used in the research of land spatial planning, rural revitalization planning, rural characteristic agricultural product development, etc.&amp;nbsp;</dc:description>
  <dc:subject>Orchard; land survey; grid; raster; China</dc:subject>
  <dc:creator>Dingxiang Zhang</dc:creator>
  <dc:creator>Xiaotong Zhang</dc:creator>
  <dc:creator>Xiaofei Bai</dc:creator>
  <dc:creator>Jinfu Peng</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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