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- W2901809908 abstract "Evapotranspiration (ET) can be mapped using thermal infrared and spectral reflectance data. Various ET models have been developed but there was no competitive evaluation of them over a large range of situations. Ensemble model averaging is a tool that can be used for deriving ET from multi-model simulations. In this study, we used bayesian model averaging, which consists in weighting each model according to their performances when deriving the ensemble average. It was applied to the monitoring of ET over a saltmarsh scrub area in South France from MODIS data. ET monitoring was improved ( $mathrm{RMSE}=0.57 mathrm{mm} mathrm{d}^{-1}$ ) when using a weighted averaging procedure as compared to the performances of a simple average or to the performances of each individual model." @default.
- W2901809908 created "2018-11-29" @default.
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- W2901809908 date "2018-07-01" @default.
- W2901809908 modified "2023-10-06" @default.
- W2901809908 title "Monitoring Evapotranspiration with Remote Sensing Data and Ground Data Using Ensemble Model Averaging" @default.
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- W2901809908 doi "https://doi.org/10.1109/igarss.2018.8517532" @default.
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