@article{fdi:010073759,
  title = {{E}stimating the water budget components of irrigated crops : combining the {FAO}-56 dual crop coefficient with surface temperature and vegetation index data},
  author = {{O}livera-{G}uerra, {L}. and {M}erlin, {O}livier and {E}r-{R}aki, {S}. and {K}habba, {S}. and {E}scorihuela, {M}. {J}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he {FAO}-56 dual crop coefficient ({FAO}-2{K}c) model has been extensively used at the field scale to estimate the crop water requirements by means of the simulated evapotranspiration ({ET}) and its two components evaporation ({E}) and transpiration ({T}). {G}iven that the main limitation of {FAO}-2{K}c for operational irrigation management over large areas is the unavailability (over most irrigated areas) of irrigation data, this study investigates the feasibility 1) to constrain the {FAO}-2{K}c {ET} from {LST} and {VI} data, 2) to retrieve irrigation amounts and dates from {LST} and {VI} data and 3) to estimate the root-zone soil moisture ({RZSM}) at the daily scale. {I}n practice, the vegetation and soil temperatures retrieved from {LST}/{VI} data are used to estimate the {FAO}-2{K}c vegetation stress coefficient ({K}s) and soil evaporation reduction coefficient ({K}r), respectively. {T}he modeling and remote sensing combined approach is tested over a wheat crop field in central {M}orocco, and results are evaluated in terms of {ET}, irrigation and {RZSM} estimates. {ET} is estimated with a {RMSE} of 0.68 nun day-1 compared to 0.84 mm day-1 for the standard (without using {LST} data) {FAO}-2{K}c based on tabulated values for the parameters. {T}he total irrigation depth (67 mm) is correctly estimated and is very close to the actual effective irrigation (69.8 mm) applied by the farmer. {D}aily {RZSM} is estimated with an {R}2 value of 0.68 (0.42) and a {RMSE} value of 0.034 (0.061) m3 m-3 by forcing {FAO}-2{K}c using the retrieved irrigation (from {LST}-derived estimates and precipitation only). {S}ince spaceborne {LST} data are currently not available at both high-spatial and high-temporal resolution, a sensitivity analysis is finally undertaken to assess the potential and applicability of the proposed methodology to temporally-sparse thermal data.},
  keywords = {{E}vapotranspiration ; {R}oot-zone soil moisture ; {I}rrigation ; {FAO}-56 ; {S}urface temperature ; {MAROC}},
  booktitle = {},
  journal = {{A}gricultural {W}ater {M}anagement},
  volume = {208},
  numero = {},
  pages = {120--131},
  ISSN = {0378-3774},
  year = {2018},
  DOI = {10.1016/j.agwat.2018.06.014},
  URL = {https://www.documentation.ird.fr/hor/fdi:010073759},
}