@incollection{fdi:010084187,
  title = {{S}entinel-1 and {S}entinel-2 data for the characterisation of the states of continental surface over a semi-arid region en {T}unisia},
  author = {{B}ousbih, {S}. and {Z}ribi, {M}. and {L}ili-{C}habaane, {Z}. and {M}ougenot, {B}ernard and {P}elletier, {C}. and {E}l {H}ajj, {M}. and {B}aghdadi, {N}.},
  editor = {},
  language = {{ENG}},
  abstract = {{R}adar and optical data have shown great potential for monitoring soil and canopy parameters. {I}n this context, {S}entinel-1 ({S}-1) and {S}entinel-2 ({S}-2) time series were used to retrieve different parameters using models and different algorithms. {T}he main objective of this study is to analyze the potential a synergetic use of radar and optical data for the estimation of soil moisture, irrigation detection and soil texture over agricultural areas for sustainable management of water and soil resources.{F}irst, the radar signal is simulated using a semi-empirical backscattering model over bare soil and vegetation cover. {T}he {W}ater {C}loud {M}odel parameterized with {NDVI} for vegetation contribution allows a good estimation of soil moisture by inversion techniques. {S}oil moisture time series were then developed for the spatialization of irrigation and soil texture. {I}n this study, both products have shown good agreement with in situ measurements.},
  keywords = {{TUNISIE} ; {KAIROUAN} ; {ZONE} {SEMIARIDE}},
  booktitle = {2020 {M}editerranean and {M}iddle-{E}ast {G}eoscience and {R}emote {S}ensing {S}ymposium ({M}2{GARSS}) : proceedings},
  numero = {},
  pages = {285--288},
  address = {{P}iscataway},
  publisher = {{IEEE}},
  series = {},
  year = {2020},
  DOI = {10.1109/{M}2{GARSS}47143.2020.9105158},
  ISBN = {978-1-7281-2191-8},
  URL = {https://www.documentation.ird.fr/hor/fdi:010084187},
}