<?xml version="1.0"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Evaluation of ratio-based vegetation indices for annual crops' biomass estimation : Lebna watershed, Capbon, Tunisia</dc:title>
  <dc:title>2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS)</dc:title>
  <dc:creator>Alaya, I.</dc:creator>
  <dc:creator>Zitouna-Chebbi, R.</dc:creator>
  <dc:creator>Mekki, I.</dc:creator>
  <dc:creator>/Jacob, Fr&#xE9;d&#xE9;ric</dc:creator>
  <dc:description>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.</dc:description>
  <dc:publisher>IEEE</dc:publisher>
  <dc:date>2020</dc:date>
  <dc:type>text</dc:type>
  <dc:identifier>https://www.documentation.ird.fr/hor/fdi:010083682</dc:identifier>
  <dc:identifier>fdi:010083682</dc:identifier>
  <dc:identifier>Alaya I., Zitouna-Chebbi R., Mekki I., Jacob Fr&#xE9;d&#xE9;ric. Evaluation of ratio-based vegetation indices for annual crops' biomass estimation : Lebna watershed, Capbon, Tunisia. In : . 2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS) IEEE, 2020, 326-329 M2GARSS : Mediterranean and Middle-East Geoscience and Remote Sensing Symposium, Tunis (Tunisie), 2020/11/9-11</dc:identifier>
  <dc:language>EN</dc:language>
  <dc:coverage>TUNISIE</dc:coverage>
</oai_dc:dc>
