The World agriculture depends on water availability; thus, a successful water management system would assure food for the World. For several decades, the scientific community has developed methods to support water management. These models include the estimates of the main water loss in the system, i.e. the evapotranspiration (ET). In turn, the satellite technology encouraged the development of new models to monitor large regions. In this work, we present a modified ET estimation adapting the F parameter introduced by Venturini et al., in 2008. Additionally, a new simple index to estimate water stress (WS) for different types of surfaces, is also presented. The relative evaporation represented by F is derived from the soil moisture condition following the formulation of Barton and computed from the surface reflectance in the shortwave infrared bands (SWIR). The new ET and WS equations are applicable, with different satellite datasets, to any remote region since they are based on universal relationships. The preliminary results show errors of about 11% in ET. In general, the new WS index would have values of approximately 0.8 for a dry surface and 0.4 for a wet surface.
Evapotranspiration and Water Stress Estimation from TIR and SWIR Bands, Agriculture, Forestry and Fisheries. Special Issue: Agriculture Ecosystems and Environment.
Vol. 3, No. 6-1,
2014, pp. 36-45.
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