@incollection{fdi:010084419,
  title = {{S}urface soil moisture retrieval over irrigated wheat crops in semi-arid areas using sentinel-1 data},
  author = {{O}uaadi, {N}. and {J}arlan, {L}ionel and {E}zzahar, {J}. and {Z}ribi, {M}. and {K}habba, {S}. and {B}ouras, {E}. and {F}rison, {P}ierre-{L}ouis},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he sensitivity of the backscattering coefficient and the interferometric coherence to surface soil moisture changes and wheat crops growth was analyzed using the time series derived from {C}-band {S}entinel-1. {R}esults show that the interferometric coherence is sensitive to wheat biomass while the backscatter intensity is more influenced by the surface soil moisture ({SSM}) changes. {A} new method to retrieve {SSM} combining the interferometric coherence and {C}-band backscattering coefficient acquired by {S}entinel-1 is tested over two irrigated wheat plots during two growth seasons around {M}arrakech city (center of {M}orocco). {I}t is shown that {SSM} can be estimated with a reasonable accuracy from sowing to harvest ({R}=0.65; {RMSE} =0.07m3/m3; bias =0.01m3/m3). {T}hese results enhance the potentialities of {S}entinel1 data for {SSM} retrieval even in the presence of a dense canopy},
  keywords = {{MAROC} ; {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 = {212--215},
  address = {{P}{\¨ie}scataway},
  publisher = {{IEEE}},
  series = {},
  year = {2020},
  DOI = {10.1109/{M}2{GARSS}47143.2020.9105282},
  ISBN = {978-1-7281-2191-8},
  URL = {https://www.documentation.ird.fr/hor/fdi:010084419},
}