@article{fdi:010053504,
  title = {{C}omparison of two temperature differencing methods to estimate daily evapotranspiration over a {M}editerranean vineyard watershed from {ASTER} data},
  author = {{G}alleguillos, {M}. and {J}acob, {F}r{\'e}d{\'e}ric and {P}revot, {L}. and {F}rench, {A}. and {L}agacherie, {P}.},
  editor = {},
  language = {{ENG}},
  abstract = {{D}aily evapo-transpiration ({ET}) was mapped at the regional extent over a {M}editerranean vineyard watershed, by using {ASTER} imagery along with two temperature differencing methods: the {S}implified {S}urface {E}nergy {B}alance {I}ndex ({S}-{SEBI}) and the {W}ater {D}eficit {I}ndex ({WDI}). {V}alidation of remotely sensed estimates was conducted during almost two growth cycles ({A}ugust 2007-{O}ctober 2008) over seven sites that differed in soil properties, water status and canopy structure. {S}-{SEBI} and {WDI} were also intercompared at the watershed extent by considering {ASTER} imagery collected between 2002 and 2008. {I}n order to alleviate the experimental efforts devoted to the validation exercise, ground truthing relied on in situ estimates from the {HYDRUS}-1{D} model that simulates water transfers within the vadose zone after calibration against measured soil moisture profiles. {F}or two of the seven validation sites, the consistency of the {HYDRUS}-1{D} simulations was beforehand controlled against direct measurements with eddy covariance devices. {T}hus, it was shown the {HYDRUS}-1{D} simulations could be used as ground truthing. {D}espite the use of simple differencing methods over a complex row-structured landscape, the obtained accuracies (0.8 mm.d(-1) for {S}-{SEBI} and 1.1 mm.d(-1) for {WDI}) were similar to those reported in the literature for simpler canopies, and fulfilled requirements for further applications in agronomy and hydrology. {WDI} performed worse than {S}-{SEBI}, in spite of more determinism within the derivation of evaporative extremes used for temperature differencing. {T}his raised the question of compromising between process description and measurement availability. {A}nalyzing validation results suggested that among the possible factors that could affect model performance (spatial variability, soil type and color, row orientation), the first-order influence was row orientation, a property that can be characterized from very high spatial resolution remote sensing data. {F}inally, intercomparing {S}-{SEBI} and {WDI} at the watershed extent showed estimates from both models agreed within 1 mm.d(-1), a difference similar to the model accuracies as estimated by the validation exercise. {T}hen, time averaged maps suggested the existence of spatial patterns at the watershed extent, which may be ascribed to combined effects from soil type, soil depth and watertable level.},
  keywords = {{D}aily evapotranspiration ; {V}ineyard ; {M}editerranean watershed ; {ASTER} ; {S}-{SEBI} ; {WDI} ; {V}alidation ; {M}odel comparison ; {S}patial patterns},
  booktitle = {},
  journal = {{R}emote {S}ensing of {E}nvironment},
  volume = {115},
  numero = {6},
  pages = {1326--1340},
  ISSN = {0034-4257},
  year = {2011},
  DOI = {10.1016/j.rse.2011.01.013},
  URL = {https://www.documentation.ird.fr/hor/fdi:010053504},
}