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Open AccessArticle

FAO-56 Dual Model Combined with Multi-Sensor Remote Sensing for Regional Evapotranspiration Estimations

CESBIO/UMR 5126, 18 av. Edouard Belin, bpi 2801, 31401 Toulouse Cedex 9, France
GREF, Université de Carthage/INAT, 43, Avenue Charles Nicolle 1082-Tunis-Mahrajène, Tunisia
CNRM-GAME, Météo-France, CNRS, URA 1357, 42 avenue Gaspard Coriolis, 31057 Toulouse Cedex 1, France
Author to whom correspondence should be addressed.
Remote Sens. 2014, 6(6), 5387-5406;
Received: 27 January 2014 / Revised: 3 June 2014 / Accepted: 4 June 2014 / Published: 11 June 2014
(This article belongs to the Special Issue Earth Observation for Water Resource Management in Africa)
The main goal of this study is to evaluate the potential of the FAO-56 dual technique for the estimation of regional evapotranspiration (ET) and its constituent components (crop transpiration and soil evaporation), for two classes of vegetation (olives trees and cereals) in the semi-arid region of the Kairouan plain in central Tunisia. The proposed approach combines the FAO-56 technique with remote sensing (optical and microwave), not only for vegetation characterization, as proposed in other studies but also for the estimation of soil evaporation, through the use of satellite moisture products. Since it is difficult to use ground flux measurements to validate remotely sensed data at regional scales, comparisons were made with the land surface model ISBA-A-gs which is a physical SVAT (Soil–Vegetation–Atmosphere Transfer) model, an operational tool developed by Météo-France. It is thus shown that good results can be obtained with this relatively simple approach, based on the FAO-56 technique combined with remote sensing, to retrieve temporal variations of ET. The approach proposed for the daily mapping of evapotranspiration at 1 km resolution is approved in two steps, for the period between 1991 and 2007. In an initial step, the ISBA-A-gs soil moisture outputs are compared with ERS/WSC products. Then, the output of the FAO-56 technique is compared with the output generated by the SVAT ISBA-A-gs model. View Full-Text
Keywords: evapotranspiration; FAO-56; NDVI; soil moisture; ERS/WSC; SPOT-VGT evapotranspiration; FAO-56; NDVI; soil moisture; ERS/WSC; SPOT-VGT
MDPI and ACS Style

Amri, R.; Zribi, M.; Lili-Chabaane, Z.; Szczypta, C.; Calvet, J.C.; Boulet, G. FAO-56 Dual Model Combined with Multi-Sensor Remote Sensing for Regional Evapotranspiration Estimations. Remote Sens. 2014, 6, 5387-5406.

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