@article{fdi:010084837,
  title = {{E}vapotranspiration and evaporation/transpiration retrieval using dual-source surface energy balance models integrating {VIS}/{NIR}/{TIR} data with satellite surface soil moisture information},
  author = {{B}oulet, {G}illes and {D}elogu, {E}. and {C}hebbi, {W}. and {R}afi, {Z}. and {L}e {D}antec, {V}. and {M}allick, {K}. and {M}ougenot, {B}ernard and {O}lioso, {A}. and {Z}ribi, {M}. and {L}ili-{C}habaane, {Z}. and {E}r-{R}aki, {S}. and {M}erlin, {O}.},
  editor = {},
  language = {{ENG}},
  abstract = {{E}vapotranspiration is an important component of the water cycle. {F}or the agronomic management and ecosystem health monitoring, it is also important to provide an estimate of evapotranspiration components, i.e. transpiration and soil evaporation. {T}o do so, {T}hermal {I}nfra{R}ed data can be used with dual-source surface energy balance models, because they solve separate energy budgets for the soil and the vegetation. {B}ut those models rely on specific assumptions on raw levels of plant water stress to get both components (evaporation and transpiration) out of a single source of information, namely the surface temperature. {A}dditional information from remote sensing data are thus required. {T}his works evaluates the ability of the {SPARSE} dual-source energy balance model to compute not only total evapotranspiration, but also water stress and transpiration/evaporation components, using either the sole surface temperature as a remote sensing driver, or a combination of surface temperature and soil moisture level derived from microwave data. {F}lux data at an experimental plot in semi-arid {M}orocco is used to assess this potentiality and shows the increased robustness of both the total evapotranspiration and partitioning retrieval performances. {T}his work is realized within the frame of the {P}hase {A} activities for the {TRISHNA} {CNES}/{ISRO} {T}hermal {I}nfra-{R}ed satellite mission.},
  keywords = {{MAROC}},
  booktitle = {},
  journal = {{I}nternational {A}rchives of the {P}hotogrammetry, {R}emote {S}ensing and {S}patial {I}nformation {S}ciences},
  volume = {{XLII}-3/{W}6},
  numero = {},
  pages = {9--12},
  year = {2019},
  DOI = {10.5194/isprs-archives-{XLII}-3-{W}6-9-2019},
  URL = {https://www.documentation.ird.fr/hor/fdi:010084837},
}