<?xml version="1.0" encoding="UTF-8"?>

<?xml-stylesheet type="text/xsl" href="/static/oaitohtml.xsl"?>

<!--
<?xml-stylesheet type="text/xsl" href="/oaitohtml.xsl"?>
-->

<OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
    <responseDate>2026-10-14T13:23:56Z</responseDate>
    <request verb="GetRecord" metadataPrefix="oai_dc" identifier="10.11922/sciencedb.538" >https://www.scidb.cn/oai</request>
<GetRecord>
    <record>
    <header >
    <identifier>10.11922/sciencedb.538</identifier>
    <datestamp>2017-12-02T15:57:54Z</datestamp>
</header>
    <metadata>
        
<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>2017-12-02</dc:date>
  <dc:title>Land-Use Data Set Based on &amp;ldquo;Gaofen-1 Satellite&amp;rdquo; Data</dc:title>
  <dc:identifier>doi:10.11922/sciencedb.538</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>&amp;quot;Gaofen-1 satellite&amp;quot; is the first earth observation system with high resolution, launched in April 2013. Its data is mainly used now in the fields of land, agriculture and environment. &amp;quot;Gaofeng-1&amp;quot; has three different resolutions such as 2 meters of panchromatic data, 8 meters and 16 meters of spectral data, combining. The Institute of agricultural resources and regionalization, Chinese academy of agricultural sciences, as the main application unit of the agricultural sector, can obtain relevant data for free and in real time. After the atmospheric and radiation correction, geometric correctionand projection transformation, and on the basis of &amp;quot;status of land use classification standard (GB - T21010-2015)&amp;quot; issued by the ministry of land and resources, for all types of land classification and summary statistics can be obtained through image analysis. At present, the land-use classification and extraction of 2016-2017 of 16 provinces have been preliminarily completed, which has formed a land-use map and statistics based on the administrative region. Comparing with the land-use data obtained by the Institute of Geographic Science and Resources, Chinese academy of sciences based on MODIS data, this data has a higher resolution and a characteristic of more up-to-date, and it can provide better service for all kinds of management and research departments.</dc:description>
  <dc:subject>High resolution satellite;  Remote sensing interpretation;  The land-use;  Data-sharing</dc:subject>
  <dc:creator>邹金秋</dc:creator>
  <dc:creator>中国农业科学院农业资源与农业区划研究所</dc:creator>
  <dc:creator>zoujinqiu@caas.cn。陈佑启</dc:creator>
  <dc:creator>中国农业科学院农业资源与农业区划研究所</dc:creator>
  <dc:creator>chenyouqi@caas.cn。</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>
</oai_dc:dc>

    </metadata>
</record>
</GetRecord>
</OAI-PMH>