@incollection{fdi:010083682,
  title = {{E}valuation of ratio-based vegetation indices for annual crops' biomass estimation : {L}ebna watershed, {C}apbon, {T}unisia},
  author = {{A}laya, {I}. and {Z}itouna-{C}hebbi, {R}. and {M}ekki, {I}. and {J}acob, {F}r{\'e}d{\'e}ric},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he 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}). {I}n 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 {M}editerranean watershed. {T}he 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. {A}reas with well-developed canopy and high plant water content are dominant in the mid-season. {T}he observed {AGB} of wheat and faba-bean shows a good correlation with {NDVI} and {NDWI} values ({R}-2>0.71). {T}he used vegetation indices represent a practical tool to determine the spatiotemporal variation of annual crops' {AGB} in {L}ebna watershed, however, a large dataset for validation is needed.},
  keywords = {{TUNISIE} ; {MEDITERRANEEN} {BASSIN} ; {LEBNA} {BASSIN} {VERSANT}},
  booktitle = {2020 {M}editerranean and {M}iddle-{E}ast {G}eoscience and {R}emote {S}ensing {S}ymposium ({M}2{GARSS})},
  numero = {},
  pages = {326--329},
  address = {{T}unis},
  publisher = {{IEEE}},
  series = {},
  year = {2020},
  DOI = {10.1109/{M}2{GARSS}47143.2020.9105153},
  ISBN = {978-1-7281-2190-1},
  URL = {https://www.documentation.ird.fr/hor/fdi:010083682},
}