@incollection{fdi:010084420,
  title = {{W}ater stress detection over irrigated wheat crops in semi-arid areas using the diurnal differences of sentinel-1 backscatter},
  author = {{O}uaadi, {N}. and {J}arlan, {L}ionel and {E}zzahar, {J}. and {K}habba, {S}. and {L}e {D}antec, {V}. and {R}afi, {Z}. and {Z}ribi, {M}. and {F}rison, {P}.{L}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}his work aims to investigate the sensitivity of the diurnal differences of radar backscatter to diurnal changes in the vegetation water content ({VWC}). {S}entinel-1 backscattering coefficient differences between two orbits (morning and evening) are analyzed over an irrigated and voluntarily stressed wheat field. {A} physical model of backscatter prediction is evaluated for wheat and used to examine the sensitivity of radar differences to the {VWC} for a range of surface soil moisture and biomass conditions. {R}esults highlight the potential of {C}-band diurnal differences for the monitoring the water stress over agricultural canopies},
  keywords = {{MAROC} ; {ZONE} {SEMIARIDE} ; {HAOUZ} {PLAINE}},
  booktitle = {2020 {M}editerranean and {M}iddle-{E}ast {G}eoscience and {R}emote {S}ensing {S}ymposium ({M}2{GARSS})},
  numero = {},
  pages = {306--309},
  address = {{P}iscataway},
  publisher = {{IEEE}},
  series = {},
  year = {2020},
  DOI = {10.1109/{M}2{GARSS}47143.2020.9105171},
  ISBN = {978-1-7281-2191-8},
  URL = {https://www.documentation.ird.fr/hor/fdi:010084420},
}