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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
Reconstruction of temporal variations of evapotranspiration using instantaneous estimates at the time of satellite overpass
Hydrology and Earth System Sciences, Volume 16, No. 8, Year 2012
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Description
Evapotranspiration estimates can be derived from remote sensing data and ancillary, mostly meterorological, information. For this purpose, two types of methods are classically used: the first type estimates a potential evapotranspiration rate from vegetation indices, and adjusts this rate according to water availability derived from either a surface temperature index or a first guess obtained from a rough estimate of the water budget, while the second family of methods relies on the link between the surface temperature and the latent heat flux through the surface energy budget. The latter provides an instantaneous estimate at the time of satellite overpass. In order to compute daily evapotranspiration, one needs an extrapolation algorithm. Since no image is acquired during cloudy conditions, these methods can only be applied during clear sky days. In order to derive seasonal evapotranspiration, one needs an interpolation method. Two combined interpolation/extrapolation methods based on the self preservation of evaporative fraction and the stress factor are compared to reconstruct seasonal evapotranspiration from instantaneous measurements acquired in clear sky conditions. Those measurements are taken from instantaneous latent heat flux from 11 datasets in Southern France and Morocco. Results show that both methods have comparable performances with a clear advantage for the evaporative fraction for datasets with several water stress events. Both interpolation algorithms tend to underestimate evapotranspiration due to the energy limiting conditions that prevail during cloudy days. Taking into account the diurnal variations of the evaporative fraction according to an empirical relationship derived from a previous study improved the performance of the extrapolation algorithm and therefore the retrieval of the seasonal evapotranspiration for all but one datasets. © 2012 Author(s). CC Attribution 3.0 License.
Authors & Co-Authors
Delogu, Emilie
France, Marseille
Ird Institut de Recherche Pour le Developpement
Boulet, Gilles
France, Marseille
Ird Institut de Recherche Pour le Developpement
Olioso, A.
France, Avignon
Centre de Recherche Inrae Provence-alpes-côte D’azur
France, Avignon
Environnement Méditerranéen et Modélisation Des Agro-hydrosystèmes - Emmah
Coudert, Benoît
France, Marseille
Ird Institut de Recherche Pour le Developpement
Chirouze, Jonas
France, Marseille
Ird Institut de Recherche Pour le Developpement
Ceschia, Éric
France, Marseille
Ird Institut de Recherche Pour le Developpement
Le-Dantec, Valérie
France, Marseille
Ird Institut de Recherche Pour le Developpement
Chehbouni, Abdelghani
France, Marseille
Ird Institut de Recherche Pour le Developpement
Lagouarde, Jean Pierre
France, Villenave-d'ornon
Centre Inrae Nouvelle-aquitaine Bordeaux
Statistics
Citations: 69
Authors: 9
Affiliations: 4
Identifiers
Doi:
10.5194/hess-16-2995-2012
ISSN:
16077938
Research Areas
Environmental
Study Locations
Morocco