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    <titleInfo>
      <title>Evaluation of ratio-based vegetation indices for annual crops' biomass estimation : Lebna watershed, Capbon, Tunisia</title>
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    <name type="personnal">
      <namePart type="family">Alaya</namePart>
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    <name type="personnal">
      <namePart type="family">Zitouna-Chebbi</namePart>
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    <name type="personnal">
      <namePart type="family">Mekki</namePart>
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    <name type="personnal">
      <namePart type="family">Jacob</namePart>
      <namePart type="given">Frédéric</namePart>
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    <abstract>The sustainability of agricultural sector involves a wise water resources management and therefore an accurate spatiotemporal vegetation monitoring with relevant tools such as satellite-derived indices (VI). In this study we evaluate the performance of NDVI and NDWI indices to infer the annual crops' (mainly wheat and faba-bean) aboveground biomass(AGB)at a Mediterranean watershed. The temporal evolution of IV over the annual crops area shows the presence of low-density and low water content vegetation in early and late season. Areas with well-developed canopy and high plant water content are dominant in the mid-season. The observed AGB of wheat and faba-bean shows a good correlation with NDVI and NDWI values (R-2&gt;0.71). The used vegetation indices represent a practical tool to determine the spatiotemporal variation of annual crops' AGB in Lebna watershed, however, a large dataset for validation is needed.</abstract>
    <targetAudience authority="marctarget">specialized</targetAudience>
    <subject authority="local">
      <geographic>TUNISIE</geographic>
    </subject>
    <classification authority="local">068</classification>
    <classification authority="local">098</classification>
    <classification authority="local">072</classification>
    <classification authority="local">126</classification>
    <relatedItem type="host">
      <titleInfo>
        <title>2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium</title>
      </titleInfo>
      <part>
        <extent unit="pages">
          <list>326-329</list>
        </extent>
      </part>
      <originInfo>
        <place type="text">
          <placeTerm>Tunis</placeTerm>
        </place>
        <publisher>IEEE</publisher>
        <dateIssued key="date">2020</dateIssued>
      </originInfo>
      <name type="conference">
        <namePart>M2GARSS : Mediterranean and Middle-East Geoscience and Remote Sensing Symposium, Tunis (Tunisie), 2020/11/9-11</namePart>
      </name>
    </relatedItem>
    <identifier type="uri">https://www.documentation.ird.fr/hor/fdi:010083682</identifier>
    <identifier type="doi">10.1109/M2GARSS47143.2020.9105153</identifier>
    <identifier type="isbn">978-1-7281-2190-1</identifier>
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      <shelfLocator>[F B010083682]</shelfLocator>
      <url usage="primary display" access="object in context">https://www.documentation.ird.fr/hor/fdi:010083682</url>
      <url access="row object">https://www.documentation.ird.fr/intranet/publi/2022-02/010083682.pdf</url>
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    <accessCondition type="restriction access" displayLabel="Accès réservé">Accès réservé (Intranet de l'IRD)</accessCondition>
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      <recordCreationDate encoding="w3cdtf">2021-12-07</recordCreationDate>
      <recordChangeDate encoding="w3cdtf">2025-02-24</recordChangeDate>
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