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  <titleInfo>
    <title>3GE collection on environmental science</title>
    <subTitle>Earth observation applications and global policy frameworks</subTitle>
  </titleInfo>
  <name type="corporate">
    <namePart>3G E-Learning</namePart>
    <role>
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  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">nju</placeTerm>
    </place>
    <dateIssued encoding="marc">2023</dateIssued>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <physicalDescription>
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    <extent>xii, 280 pages : illustrations ; 25 cm</extent>
  </physicalDescription>
  <abstract>"Earth observation is the gathering of information about planet Earth's physical, chemical and biological systems via remote sensing technologies, usually involving satellites carrying imaging devices. Earth observation is used to monitor and assess the status of, and changes in, the natural and handmade environment. In order to meet the needs of different communities--spanning private industry, academia, and the general public--NASA's Earth Observing System Data and Information System (EOSDIS) has provided various ways to discover, access, and use the data. Likewise, Europe's Joint Research Centre (JRC) works on developing a digital replica of our planet that provides globally shared access to the best available data, models, and scenarios necessary to support EU policy, public participation, and scientific research."--</abstract>
  <note type="statement of responsibility">3G E-Learning</note>
  <note>Includes bibliographical references and index.</note>
  <subject authority="lcsh">
    <topic>Earth sciences</topic>
    <topic>Remote sensing</topic>
  </subject>
  <classification authority="ddc">Cir./550.28/T413</classification>
  <identifier type="isbn">978-1-98468-100-3</identifier>
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    <recordCreationDate encoding="marc">220718</recordCreationDate>
    <recordChangeDate encoding="iso8601">20250107143038.0</recordChangeDate>
    <recordIdentifier source="OSt">22715868</recordIdentifier>
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