%0 Book Section
%9 OS CH : Chapitres d'ouvrages scientifiques
%A Mwangi, S.
%A Olioso, A.
%A Boulet, Gilles
%A Farhani, N.
%A Etchanchu, Jordi
%A Demarty, Jérome
%A Ollivier, Chloé
%A Hu, T.
%A Mallick, K.
%A Jia, A.
%A Sarrazin, E.
%A Gamet, P.
%T Ensemble estimation of evapotranspiration using EVASPA : a multi-data multi-method analysis
%B IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium : proceedings
%C Piscataway
%D 2024
%L fdi:010096109
%G ENG
%I IEEE
%@ 979-8-3503-6033-2
%P 2475-2478
%U https://www.documentation.ird.fr/hor/fdi:010096109
%> https://www.documentation.ird.fr/intranet/publi/2025-12/010096109.pdf
%W Horizon (IRD)
%X Estimating evapotranspiration (ET) beyond the local or point scale is essential for many water-related studies. By exploiting the relationship between surface biophysical parameters and thermal emission, continuous ET at such larger


spatial scales can be obtained. In this study, we applied the EVASPA tool, which provides an ensemble of ET estimates, over southern France. This was done using MODIS data, including Land Surface Temperature, NDVI, and albedo,


resulting in 243 ET estimates. Initial 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.


Additionally, our uncertainty analyses indicated that ensemble-based contextual modelling can provide sufficient spread for enhanced flux simulations. As 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.
%B IEEE International Geoscience and Remote Sensing Symposium
%8 2024/07/07-12
%$ 060 ; 126