Mwangi S., Olioso A., Boulet Gilles, Farhani N., Etchanchu Jordi, Demarty Jérome, Ollivier Chloé, Hu T., Mallick K., Jia A., Sarrazin E., Gamet P. (2024). Ensemble estimation of evapotranspiration using EVASPA : a multi-data multi-method analysis. In :
IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium : proceedings. Piscataway : IEEE, 2475-2478. IEEE International Geoscience and Remote Sensing Symposium, Athènes (GRC), 2024/07/07-12. ISBN 979-8-3503-6033-2.
Titre du document
Ensemble estimation of evapotranspiration using EVASPA : a multi-data multi-method analysis
Année de publication
2024
Type de document
Partie d'ouvrage
Auteurs
Mwangi S., Olioso A., Boulet Gilles, Farhani N., Etchanchu Jordi, Demarty Jérome, Ollivier Chloé, Hu T., Mallick K., Jia A., Sarrazin E., Gamet P.
In
IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium : proceedings
Source
Piscataway : IEEE, 2024,
2475-2478 ISBN 979-8-3503-6033-2
Colloque
IEEE International Geoscience and Remote Sensing Symposium, Athènes (GRC), 2024/07/07-12
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.
Plan de classement
Sciences de la Terre : généralités [060]
;
Télédétection [126]
Localisation
Fonds IRD [F B010096109]
Identifiant IRD
fdi:010096109
