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    <identifier>10.11922/sciencedb.j00001.00265</identifier>
    <datestamp>2021-08-13T06:54:18Z</datestamp>
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  <dc:date>2021-08-13</dc:date>
  <dc:title>MuSyQ 30m/10days leaf chlorophyll content product  (from 2019 to 2020 across China version 01)</dc:title>
  <dc:identifier>doi:10.11922/sciencedb.j00001.00265</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>Leaf chlorophyll content, Chlleaf, is a key indicator of the physiological condition of vegetation. Remote sensing is one of the most effective approaches to acquire dynamic Chlleaf information on the continental or global scale. However, there are few Chlleaf remote sensing products available. Taking advantage of the high spatial and temporal resolution of Sentinel-2 multispectral instrument (MSI), MuSyQ GF-series leaf chlorophyll content product of 30m/10days resolution across China from 2019 to 2020 (version 01) was generated using the chlorophyll sensitive index (CSI) empirical regression method. This product has the potential for explicitly retrieving leaf-scale biochemistry in ecosystem modelling and ecological applications.</dc:description>
  <dc:subject>leaf chlorophyll content (Chlleaf) product;  high resolution;  China region; Sentinel-2</dc:subject>
  <dc:creator>Jing Li</dc:creator>
  <dc:creator>Hu Zhang</dc:creator>
  <dc:creator>Xiaohan Wang</dc:creator>
  <dc:creator>Zhaoxing Zhang</dc:creator>
  <dc:creator>Chenpeng Gu</dc:creator>
  <dc:creator>Yuan Wen</dc:creator>
  <dc:creator>Tianjia Chu</dc:creator>
  <dc:creator>Qinhuo Liu</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/csdata.2021.0033.zh</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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