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      <ref-type name="Journal Article">17</ref-type>
      <work-type>ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES</work-type>
      <contributors>
        <authors>
          <author>
            <style face="normal" font="default" size="100%">Alaya, I.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Zitouna-Chebbi, R.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Mekki, I.</style>
          </author>
          <author>
            <style face="bold" font="default" size="100%">Jacob, Frédéric</style>
          </author>
        </authors>
      </contributors>
      <titles>
        <title>Evaluation of ratio-based vegetation indices for annual crops' biomass estimation : Lebna watershed, Capbon, Tunisia</title>
        <secondary-title>2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS)</secondary-title>
        <secondary-title>M2GARSS : Mediterranean and Middle-East Geoscience and Remote Sensing Symposium</secondary-title>
      </titles>
      <pages>326-329</pages>
      <keywords>
        <keyword>TUNISIE</keyword>
        <keyword>MEDITERRANEEN BASSIN</keyword>
        <keyword>LEBNA BASSIN VERSANT</keyword>
      </keywords>
      <dates>
        <year>2020</year>
        <pub-dates>
          <date>2020/11/9-11</date>
        </pub-dates>
      </dates>
      <pub-location>Tunis</pub-location>
      <publisher>IEEE</publisher>
      <call-num>fdi:010083682</call-num>
      <language>ENG</language>
      <accession-num>ISI:000604612500074</accession-num>
      <electronic-resource-num>10.1109/M2GARSS47143.2020.9105153</electronic-resource-num>
      <urls>
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          <url>https://www.documentation.ird.fr/hor/fdi:010083682</url>
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          <url>https://www.documentation.ird.fr/intranet/publi/2022-02/010083682.pdf</url>
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      <remote-database-provider>Horizon (IRD)</remote-database-provider>
      <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>
      <custom6>068 ; 098 ; 072 ; 126</custom6>
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