@article{fdi:010072715,
  title = {{A}ssessment of actual evapotranspiration over a semiarid heterogeneous land surface by means of coupled low-resolution remote sensing data with an energy balance model : comparison to extra-large aperture scintillometer measurements},
  author = {{S}aadi, {S}. and {B}oulet, {G}illes and {B}ahir, {M}. and {B}rut, {A}. and {D}elogu, {E}. and {F}anise, {P}ascal and {M}ougenot, {B}ernard and {S}imonneaux, {V}incent and {C}habaane, {Z}. {L}.},
  editor = {},
  language = {{ENG}},
  abstract = {{I}n semiarid areas, agricultural production is restricted by water availability; hence, efficient agricultural water management is a major issue. {T}he design of tools providing regional estimates of evapotranspiration ({ET}), one of the most relevant water balance fluxes, may help the sustainable management of water resources. {R}emote sensing provides periodic data about actual vegetation temporal dynamics (through the normalized difference vegetation index, {NDVI}) and water availability under water stress (through the surface temperature {T}-surf), which are crucial factors controlling {ET}. {I}n this study, spatially distributed estimates of {ET} (or its energy equivalent, the latent heat flux {LE}) in the {K}airouan plain (central {T}unisia) were computed by applying the {S}oil {P}lant {A}tmosphere and {R}emote {S}ensing {E}vapotranspiration ({SPARSE}) model fed by low-resolution remote sensing data ({T}erra and {A}qua {MODIS}). {T}he work's goal was to assess the operational use of the {SPARSE} model and the accuracy of the modeled (i) sensible heat flux ({H}) and (ii) daily {ET} over a heterogeneous semiarid landscape with complex land cover (i.e., trees, winter cereals, summer vegetables). {SPARSE} was run to compute instantaneous estimates of {H} and {LE} fluxes at the satellite overpass times. {T}he good correspondence ({R}-2 = 0.60 and 0.63 and {RMSE} = 57.89 and 53.85 {W} m(-2) for {T}erra and {A}qua, respectively) between instantaneous {H} estimates and large aperture scintillometer ({XLAS}) {H} measurements along a path length of 4 km over the study area showed that the {SPARSE} model presents satisfactory accuracy. {R}esults showed that, despite the fairly large scatter, the instantaneous {LE} can be suitably estimated at large scales ({RMSE} {D} 47.20 and 43.20 {W} m(-2) for {T}erra and {A}qua, respectively, and {R}-2 = 0.55 for both satellites). {A}dditionally, water stress was investigated by comparing modeled ({SPARSE}) and observed ({XLAS}) water stress values; we found that most points were located within a 0.2 confidence interval, thus the general tendencies are well reproduced. {E}ven though extrapolation of instantaneous latent heat flux values to daily totals was less obvious, daily {ET} estimates are deemed acceptable.},
  keywords = {{TUNISIE} ; {KAIROUAN}},
  booktitle = {},
  journal = {{H}ydrology and {E}arth {S}ystem {S}ciences},
  volume = {22},
  numero = {4},
  pages = {2187--2209},
  ISSN = {1027-5606},
  year = {2018},
  DOI = {10.5194/hess-22-2187-2018},
  URL = {https://www.documentation.ird.fr/hor/fdi:010072715},
}