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Spatial estimation of actual evapotranspiration and irrigation volumes using water and energy balance models forced by optical remote sensing data (VIS/NIR/TIR)

Abstract : In arid and semi-arid regions, efficient agricultural water management is a major issue, mainly in irrigated areas. The design of tools that provide an estimate of water balance components at the regional scale may help sustainable management of limited water resources in the water scarce regions. Remotely sensed Earth observation has become a major research field for agricultural water resources management. The main objective of this thesis is to develop and test efficient techniques and methods to estimate hydrological variables (Evapotranspiration (ET) and irrigation volumes) in order to assess, at "metric" and "kilometric" resolution , the crop water requirements and the extracted irrigation volumes in the Kairouan plain (central Tunisia). The adopted approach combines field experimentation, modeling and the use of multi-sensor / multi-resolution remote sensing data. Two modeling tools are used: the soil water balance model SAMIR and the energy balance model, SPARSE. SAMIR and SPARSE estimates are assessed using field measurements (Scintillometer XLAS measurements) and field surveys (observed irrigation volumes). The seasonal irrigation volumes estimated by the SAMIR model are acceptable, even though results at finer timescales (monthly and below) needed to be improved. Hence, the SAMIR model parameters, especially the uncalibrated ones are revisited in order to improve the results. SPARSE estimates of sensible and latent heat ?uxes are in close agreement with those obtained from the XLAS. However, the extrapolation from instantaneous to daily ET is less obvious.
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Sameh Saadi. Spatial estimation of actual evapotranspiration and irrigation volumes using water and energy balance models forced by optical remote sensing data (VIS/NIR/TIR). Hydrology. Université Paul Sabatier - Toulouse III; Université de Carthage (Tunisie), 2018. English. ⟨NNT : 2018TOU30008⟩. ⟨tel-02022674⟩

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