@article{fdi:010084743,
  title = {{A} remote sensing data fusion method for continuous daily evapotranspiration mapping at kilometric scale in {S}ahelian areas},
  author = {{A}llies, {A}. and {O}lioso, {A}. and {C}appelaere, {B}ernard and {B}oulet, {G}illes and {E}tchanchu, {J}ordi and {B}arral, {H}{\'e}l{\`e}ne and {M}oussa, {I}. {B}. and {C}hazarin, {J}ean-{P}hilippe and {D}elogu, {E}. and {I}ssoufou, {H}. {B}. {A}. and {M}ainassara, {I}brahim and {O}i, {M}onique and {D}emarty, {J}{\'e}rome},
  editor = {},
  language = {{ENG}},
  abstract = {{T}hermal infrared ({TIR}) remote sensing-based {ET} estimates are very appealing for a wide range of scientific applications in hydrology. {H}owever, they are prone to infrequency due to satellite revisit interval and cloud cover. {T}emporal interpolation techniques or multi-resolution and multi-frequency data fusion approach have thus recently been studied to provide continuous {ET} estimates. {I}t has been already shown that the interest of temporal interpolation techniques is limited to short return interval that is troublesome in {S}ahelian regions where mesoscale convective systems linked to the {W}est {A}frican {M}onsoon ({WAM}) renders unusable most of {TIR} images during the rainy season. {H}ere we developed a data fusion approach to provide remote sensing-based continuous daily {ET} estimates at kilometric resolution in {S}ahelian areas. {T}he proposed algorithm fill gaps in {MODIS}-based {ET} estimates from {EVASPA} {S}-{SEBI} {S}ahel ({E}3{S}) using the {G}lobal {L}and {E}vaporation: the {A}msterdam {M}ethodology ({GLEAM}) product and/or {ET} estimates from a simple parametric model for typical {S}ahelian ecosystems as a normalized basis. {T}he fusion algorithm is evaluated at the pixel scale against eddy-covariance measurements and simulations of a locally calibrated and validated land surface model ({LSM}) on a millet crop and a fallow of shrubby savannah in the southwest of the {R}epublic of {N}iger. {C}onsistency of the fusion approach is also evaluated at mesoscale by comparing it with a set of 20 regional {LSM}s. {G}lobally both level of comparison highlight the very good agreement of {ET} estimates based on the fusion approach with both in situ measurements and {LSM}s simulations. {W}e also show the benefit of such a fusion approach compared to linear temporal interpolation techniques of the ratio between {ET} and either incoming solar radiation or reference evapotranspiration. {T}he main benefits are observed during the first months of the rainy season in the depiction of the surface response to rainfall events and consecutive drying up of the surface soil layer. {W}e suggest that such a fusion approach could be later used in disaggregation chain to enhance field scaled {ET} estimates by the combination of coarse, moderate and high resolution remote sensing-based {ET} estimates.},
  keywords = {{E}vapotranspiration ; {D}ata fusion ; {E}3{S} ; {GLEAM} ; {MODIS} ; {S}ahel ; {NIGER} ; {ZONE} {SAHELIENNE}},
  booktitle = {},
  journal = {{J}ournal of {H}ydrology},
  volume = {607},
  numero = {},
  pages = {127504 [19 ]},
  ISSN = {0022-1694},
  year = {2022},
  DOI = {10.1016/j.jhydrol.2022.127504},
  URL = {https://www.documentation.ird.fr/hor/fdi:010084743},
}