@article{fdi:010079822,
  title = {{I}ntegrating thermal stress indexes within {S}huttleworth-{W}allace model for evapotranspiration mapping over a complex surface},
  author = {{E}lfarkh, {J}. and {E}r-{R}aki, {S}. and {E}zzahar, {J}. and {C}hehbouni, {A}bdelghani and {A}ithssaine, {B}. and {A}mazirh, {A}. and {K}habba, {S}. and {J}arlan, {L}ionel},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he main goal of this work was to evaluate the potential of the {S}huttleworth-{W}allace ({SW}) model for mapping actual crop evapotranspiration ({ET}) over complex surface located in the foothill of the {A}tlas {M}ountain ({M}orocco). {T}his model needs many input variables to compute soil (r(s)(s)) and vegetation (r(s)(v)) resistances, which are often difficult to estimate at large scale particularly soil moisture. {I}n this study, a new approach to spatialize r(s)(s) and r(s)(v) based on two thermal-based proxy variables was proposed. {L}and {S}urface {T}emperature ({LST}) and {N}ormalized {D}ifference {V}egetation {I}ndex ({NDVI}) derived from {L}andsat data were combined with the endmember temperatures for soil ({T}s-min and {T}s-max) and vegetation ({T}v(min) and {T}v(max)), which were simulated by a surface energy balance model, to compute the soil ({T}s) and the vegetation ({T}v) temperatures. {B}ased on these temperatures, two thermal proxies ({SI}ss for soil and {SI}sv for vegetation) were calculated and related to r(s)(s) and r(s)(v), with an empirical exponential relationship [with a correlation coefficient ({R}) of about 0.6 and 0.5 for soil and vegetation, respectively]. {T}he proposed approach was initially evaluated at a local scale, by comparing the results to observations by an eddy covariance system installed over an area planted with olive trees intercropped with wheat. {I}n a second step, the new approach was applied over a large area which contains a mixed vegetation (tall and short) crossed by a river to derive r(s)(s) and r(s) (v), and thereafter to estimate {ET}. {A} {L}arge aperture scintillometer ({LAS}) installed over a line transect of 1.4 km and spanning the total area was used to validate the obtained {ET}. {T}he comparison confirmed the ability of the proposed approach to provide satisfactory {ET} maps with an {RMSE}, bias and {R}-2 equal to 0.08 mm/h, 0.06 mm/h and 0.80, respectively.},
  keywords = {{MAROC} ; {ATLAS} {MONT}},
  booktitle = {},
  journal = {{I}rrigation {S}cience},
  volume = {39},
  numero = {1},
  pages = {45--61},
  ISSN = {0342-7188},
  year = {2021},
  DOI = {10.1007/s00271-020-00701-3},
  URL = {https://www.documentation.ird.fr/hor/fdi:010079822},
}