Mwangi S. auteur aut IRD Olioso A. auteur aut IRD Boulet Gilles auteur aut IRD Farhani N. auteur aut IRD Etchanchu Jordi auteur aut IRD Demarty Jérome auteur aut IRD Ollivier Chloé auteur aut IRD Hu T. auteur aut IRD Mallick K. auteur aut IRD Jia A. auteur aut IRD Sarrazin E. auteur aut IRD Gamet P. auteur aut IRD text bookSection eng text/pdf born digital access 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. specialized 060 126 2475-2478 Piscataway IEEE 2024 IEEE International Geoscience and Remote Sensing Symposium, Athènes (GRC), 2024/07/07-12 https://www.documentation.ird.fr/hor/fdi:010096109 979-8-3503-6033-2 [F B010096109] https://www.documentation.ird.fr/hor/fdi:010096109 https://www.documentation.ird.fr/intranet/publi/2025-12/010096109.pdf Accès réservé (Intranet de l'IRD) IRD - Base Horizon / Pleins textes 2025-12-15 2025-12-18 fdi:010096109 fre