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    <titleInfo>
      <title>Comparing Landsat-7 ETM+ and ASTER Imageries to estimate daily evapotranspiration within a Mediterranean vineyard watershed</title>
    </titleInfo>
    <name type="personnal">
      <namePart type="family">Montes</namePart>
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        <roleTerm type="text">auteur</roleTerm>
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      <affiliation>IRD</affiliation>
    </name>
    <name type="personnal">
      <namePart type="family">Jacob</namePart>
      <namePart type="given">Frédéric</namePart>
      <role>
        <roleTerm type="text">auteur</roleTerm>
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    <abstract>We compared the capabilities of Landsat-7 Enhanced Thematic Mapper Plus (ETM+) and Advanced Space-borne Thermal Emission and Reflection Radiometer (ASTER) imageries for mapping daily evapotranspiration (ET) within a Mediterranean vineyard watershed. We used Landsat and ASTER data simultaneously collected on four dates in 2007 and 2008, along with the simplified surface energy balance index (S-SEBI) model. We used previously ground-validated good quality ASTER estimates as reference, and we analyzed the differences with Landsat retrievals in light of the instrumental factors and methodology. Although Landsat and ASTER retrievals of S-SEBI inputs were different, estimates of daily ET from the two imageries were similar. This is ascribed to the S-SEBI spatial differencing in temperature, and opens the path for using historical Landsat time series over vineyards.</abstract>
    <targetAudience authority="marctarget">specialized</targetAudience>
    <subject authority="local">
      <topic>ZONE MEDITERRANEENNE</topic>
    </subject>
    <subject>
      <topic>Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER)</topic>
      <topic>daily evapotranspiration (ET)</topic>
      <topic>Landsat-7 Enhanced Thematic Mapper Plus</topic>
      <topic>(ETM plus )</topic>
      <topic>simplified surface energy balance index (S-SEBI)</topic>
      <topic>solar and thermal infrared remote sensing</topic>
      <topic>vineyard landscape</topic>
    </subject>
    <subject authority="local">
      <geographic>FRANCE</geographic>
    </subject>
    <classification authority="local">072</classification>
    <classification authority="local">126</classification>
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      <titleInfo>
        <title>IEEE Geoscience and Remote Sensing Letters</title>
      </titleInfo>
      <part>
        <detail type="volume">
          <number>14</number>
        </detail>
        <detail type="volume">
          <number>3</number>
        </detail>
        <extent unit="pages">
          <list> 459-463</list>
        </extent>
      </part>
      <originInfo>
        <dateIssued>2017</dateIssued>
      </originInfo>
      <identifier type="issn">1545-598X</identifier>
    </relatedItem>
    <identifier type="uri">https://www.documentation.ird.fr/hor/fdi:010069357</identifier>
    <identifier type="doi">10.1109/lgrs.2017.2650143</identifier>
    <identifier type="issn">1545-598X</identifier>
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      <shelfLocator>[F B010069357]</shelfLocator>
      <url usage="primary display" access="object in context">https://www.documentation.ird.fr/hor/fdi:010069357</url>
      <url access="row object">https://www.documentation.ird.fr/intranet/publi/2017/04/010069357.pdf</url>
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      <recordCreationDate encoding="w3cdtf">2017-05-09</recordCreationDate>
      <recordChangeDate encoding="w3cdtf">2023-07-11</recordChangeDate>
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