Allies A. auteur aut IRD Demarty Jérome auteur aut IRD Olioso A. auteur aut IRD Moussa I. B. auteur aut IRD Issoufou H. B. A. auteur aut IRD Velluet Cecile auteur aut IRD Bahir M. auteur aut IRD Mainassara I. auteur aut IRD Oi Monique auteur aut IRD Chazarin Jean-Philippe auteur aut IRD Cappelaere Bernard auteur aut IRD text journalArticle eng text/pdf reformatted digital access In many tropical areas, evapotranspiration is the most important but least known component of the water cycle. An innovative method, named E3S (for EVASPA S-SEBI Sahel), was developed to provide spatially-distributed estimates of daily actual evapotranspiration (ETd) from remote sensing data in the Sahel. This new method combines the strengths of a contextual approach that is used to estimate the evaporative fraction (EF) from surface temperature vs. albedo scatterograms and of an ensemble approach that derives ETd estimates from a weighted average of evapotranspiration estimated from several EF methods. In this work, the two combined approaches were derived from the simplified surface energy balance index (S-SEBI) model and the EVapotranspiration Assessment from SPAce (EVASPA) tool. Main innovative aspects concern (i) ensemble predictions of ETd through the implementation of a dynamic weighting scheme of several evapotranspiration estimations, (ii) epistemic uncertainty of the estimation of ETd from the analysis of the variability of evapotranspiration estimates, and (iii) a new cloud filtering method that significantly improves the detection of cloud edges that negatively affect EF determination. E3S was applied to MODIS/TERRA and AQUA datasets acquired during the 2005-2008 period over the mesoscale AMMA-CATCH (Analyse Multidisciplinaire de la Mousson Africaine-Couplage de l'Atmosphere Tropicale et du Cycle Hydrologique) observatory in South-West Niger. E3S estimates of instantaneous and daily available energy, evaporative fraction, and evapotranspiration were evaluated at a local scale based on two field-monitored plots representing the two main ecosystem types in the area-a millet crop and a fallow savannah bush. In addition to these ground-based observations, the local scale evaluation was performed against continuous simulations by a locally-calibrated soil-vegetation-atmosphere transfer model for the two plots. The RMSE (root mean square error) from this comparison for E3S's ETd estimates from combined AQUA/TERRA sources was 0.5 mmday(-1), and the determination coefficient was 0.90. E3S significantly improved representation of the evapotranspiration seasonality, compared with a classical implementation of S-SEBI or with the original EVASPA's non-weighted ensemble scheme. At the mesoscale, ETd estimates were obtained with an average epistemic uncertainty of 0.4 mmday(-1). Comparisons with the reference 0.25 degrees-resolution GLEAM (global land evaporation Amsterdam model) product showed good agreement. These results suggested that E3S could be used to produce reliable continuous regional estimations at a kilometric resolution, consistent with land and water management requirements in the Sahel. Moreover, all these innovations could be easily transposed to other contextual approaches. specialized evapotranspiration mapping contextual approach Sahel MODIS southwest Niger NIGER ZONE SAHELIENNE 126 072 12 3 art. 380 [34 ] 2020 https://www.documentation.ird.fr/hor/fdi:010077972 10.3390/rs12030380 [F B010077972] https://www.documentation.ird.fr/hor/fdi:010077972 https://horizon.documentation.ird.fr/exl-doc/pleins_textes/divers20-04/010077972.pdf IRD - Base Horizon / Pleins textes 2020-05-18 2025-02-24 fdi:010077972 fre