Accuracy assessment of remotely sensed data to analyze lake water balance in semi-arid region

Lake water level fluctuation is a function of hydro-meteorological components, namely input, and output to the system. The combination these components from in-situ remote sensing sources has been used in this study define multiple scenarios, which are major explanatory pathways assess lake levels. goal analyze each scenario through application balance equation simulate largest Iran, Urmia, selected as it needs great deal attention terms management issues. We ran monthly simulation nineteen scenarios for Urmia 2003 2007 by applying different combinations data, including observed remotely sensed level, flow, evaporation, rainfall. readily available data Hydrosat, Hydroweb, DAHITI platforms; evapotranspiration MODIS rainfall TRMM. analysis suggests that consideration field algorithm initial can reproduce best way. combines meteorological closest match Urmia. Almost all showed good dynamics with but we found nine out did not vary significantly dynamics. results also reveal that, even without any proposed scenario, consists entirely capable estimating lake. explains necessity using proper act on regulations managerial decisions understand temporal phenomenon only other lakes semi-arid regions.