@incollection{fdi:010072192,
  title = {{M}onitoring irrigation volumes using high resolution {NDVI} image time series : calibration and validation in the {K}airouan plain},
  author = {{S}aadi, {S}. and {S}imonneaux, {V}incent and {B}oulet, {G}illes and {M}ougenot, {B}ernard and {C}habaane, {Z}. {L}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he increasing availability of high resolution high repetitively {VIS}-{NIR} remote sensing, like the forthcoming {S}entinel-2 mission to be launched in 2015, offers unprecedented opportunity to improve agricultural monitoring. {I}n this study, regional evapotranspiration and crop water consumption were estimated over an irrigated area located in the {K}airouan plain (central {T}unisia) using the {FAO}-56 dual crop coefficient water balance model combined with {NDVI} image time series providing estimates of the actual basal crop coefficient ({K}cb) and vegetation fraction cover. {T}hree time series of high-resolution {SPOT}5 images have been acquired for the 2008-2009, 2011-2012 and 2012-2013 hydrological years. {W}e also benefited from a {SPOT}4 time series acquired in the frame of the {SPOT}4-{T}ake5 experiment. {T}he {SPOT}5 images were radiometrically corrected, first, using the {SMAC}6s {A}lgorithm, and then improved using invariant objects located on the scene. {T}he method was first calibrated using ground measurements of evapotranspiration achieved using eddy-correlation devices installed on irrigated wheat and barley plots. {F}or other crops for which no calibration data was available, parameters were taken from bibliography. {T}hen, the model was run to spatialize irrigation over the whole area and a validation was done using cumulated seasonal water volumes obtained from ground survey for three irrigated perimeters. {I}n a subsequent step, evapotranspiration estimates were obtained using a large aperture scintillometer and were used for an additional validation of the model outputs.},
  keywords = {{TUNISIE} ; {KAIROUAN} ; {ZONE} {SEMIARIDE} ; {ZONE} {MEDITERRANEENNE}},
  booktitle = {{R}emote sensing for agriculture, ecosystems, and hydrology {XVII}},
  numero = {9637},
  pages = {art. no 963710 [15  en ligne]},
  address = {{B}ellingham},
  publisher = {{SPIE}},
  series = {{P}roceedings of {SPIE} : the {I}nternational {S}ociety for {O}ptical {E}ngineering},
  year = {2015},
  DOI = {10.1117/12.2195183},
  ISBN = {978-1-62841-847-7},
  URL = {https://www.documentation.ird.fr/hor/fdi:010072192},
}