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  <titleInfo>
    <title>Optical remote sensing of land surfaces : techniques and methods</title>
  </titleInfo>
  <name type="personal">
    <namePart>Baghdadi, Nicolas</namePart>
    <role>
      <roleTerm type="text">editor.</roleTerm>
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  </name>
  <name type="personal">
    <namePart>Zribi, Mehrez</namePart>
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  <genre authority="">Electronic books.</genre>
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    <dateIssued encoding="marc">2016</dateIssued>
    <copyrightDate encoding="marc">2016</copyrightDate>
    <issuance>monographic</issuance>
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    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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    <extent>1 online resource (xlii, 346 pages).</extent>
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  <abstract>The considerable progress in instrumentation and in the development of methods for the processing and analysis of data places remote sensing at the center of various international programs for the surveillance and tracking of climatic and anthropogenic changes and effects on the environment. This volume presents optical imaging and LiDAR systems: their instrumentation, physics of measurement, processing methods and data analysis. The estimation of a digital terrain model based on optical images and LiDAR data is also discussed. This book, part of a set of six volumes, has been produced by scientists who are internationally renowned in their fields. It is addressed to students (engineers, Masters, PhD), engineers and scientists, specialists in Earth observation techniques and imaging systems. Through this pedagogical work, the authors contribute to breaking down the barriers that hinder the use of Earth observation data.</abstract>
  <abstract>Provides clear and concise descriptions of modern remote sensing methods. Explores the most current remote sensing techniques with physical aspects of the measurement (theory) and their applications. Provides chapters on physical principles, measurement, and data processing for each technique described. Describes optical remote sensing technology, including a description of acquisition systems and measurement corrections to be made.</abstract>
  <tableOfContents>Radiometry in the optical domain -- Multispectral satellite image processing -- Digital terrain models from optical images -- Processing hyperspectral images -- Principle and physics of the LiDAR measurement -- Airborne LiDAR data processing -- Digital terrain models derived from airborne LiDAR data.</tableOfContents>
  <note type="statement of responsibility">edited by Nicolas Baghdadi, Mehrez Zribi.</note>
  <note>Includes bibliographical references and index.</note>
  <subject authority="lcsh">
    <topic>Remote sensing</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Optical radar</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Optical images</topic>
  </subject>
  <subject authority="bisacsh">
    <topic>TECHNOLOGY &amp; ENGINEERING</topic>
    <topic>Mechanical</topic>
  </subject>
  <subject authority="bisacsh">
    <topic>TECHNOLOGY &amp; ENGINEERING</topic>
    <topic>Remote Sensing &amp; Geographic Information Systems</topic>
  </subject>
  <subject authority="fast">
    <topic>Optical images</topic>
  </subject>
  <subject authority="fast">
    <topic>Optical radar</topic>
  </subject>
  <subject authority="fast">
    <topic>Remote sensing</topic>
  </subject>
  <classification authority="lcc">G70.4 O685 2016eb</classification>
  <classification authority="ddc" edition="23">621.36/78</classification>
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    <titleInfo>
      <title>Optical Remote Sensing of Land Surfaces</title>
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    <originInfo>
      <publisher>Elsevier Science Ltd 2016</publisher>
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    <identifier type="local">(OCoLC)958273455</identifier>
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  <relatedItem type="series">
    <titleInfo>
      <title>Remote sensing observations of continental surfaces set</title>
    </titleInfo>
  </relatedItem>
  <identifier type="isbn">9780081011843</identifier>
  <identifier type="isbn">0081011849</identifier>
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  <identifier type="uri">http://www.sciencedirect.com/science/book/9781785481024</identifier>
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    <recordCreationDate encoding="marc">160920</recordCreationDate>
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    <recordIdentifier source="OCoLC">ocn958782573</recordIdentifier>
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