@incollection{fdi:010096109,
  title = {{E}nsemble estimation of evapotranspiration using {EVASPA} : a multi-data multi-method analysis},
  author = {{M}wangi, {S}. and {O}lioso, {A}. and {B}oulet, {G}illes and {F}arhani, {N}. and {E}tchanchu, {J}ordi and {D}emarty, {J}{\'e}rome and {O}llivier, {C}hlo{\'e} and {H}u, {T}. and {M}allick, {K}. and {J}ia, {A}. and {S}arrazin, {E}. and {G}amet, {P}.},
  editor = {},
  language = {{ENG}},
  abstract = {{E}stimating evapotranspiration ({ET}) beyond the local or point scale is essential for many water-related studies. {B}y exploiting the relationship between surface biophysical parameters and thermal emission, continuous {ET} at such larger


spatial scales can be obtained. {I}n this study, we applied the {EVASPA} tool, which provides an ensemble of {ET} estimates, over southern {F}rance. {T}his was done using {MODIS} data, including {L}and {S}urface {T}emperature, {NDVI}, and albedo,


resulting in 243 {ET} estimates. {I}nitial evaluations using in-situ flux data yielded reasonable results even when a simple average was used, with a broad absolute and performance range between the member estimates being observed.


{A}dditionally, our uncertainty analyses indicated that ensemble-based contextual modelling can provide sufficient spread for enhanced flux simulations. {A}s {EVASPA} is intended for operational use, this work aims to guide the


establishment of an optimal weighting criteria for the members to improve {ET} estimates.},
  keywords = {},
  booktitle = {{IGARSS} 2024 - 2024 {IEEE} {I}nternational {G}eoscience and {R}emote {S}ensing {S}ymposium : proceedings},
  numero = {},
  pages = {2475--2478},
  address = {{P}iscataway},
  publisher = {{IEEE}},
  series = {},
  year = {2024},
  ISBN = {979-8-3503-6033-2},
  URL = {https://www.documentation.ird.fr/hor/fdi:010096109},
}