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    A Probabilistic Framework for Water Budget Estimation Using Remotely Sensed Data

    , M.Sc. Thesis Sharif University of Technology Ahmadi, Narges (Author) ; Ataie Ashtiani, Behzad (Supervisor)
    Abstract
    Having information about the amount of water storage is essential to estimate the amount of water available for use in agriculture, industrial, etc. The purpose of this study is to propose a method for estimating the water budget in large-scale basins using remote sensing data. Using ground-based measurements to obtain water budget components is a challenging issue. This may be due to the limited access to in-site data in temporal and spatial resolution, especially in large scale basins. In recent years, with the increasing growth of satellite data, the application of remotely sensed data to estimate changes in water storage is increasing. In this study, due to the limitation of access to...