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    Determining Potential Areas for Flood Inundation Using Remote Sensing and Artificial Neural Networks 

    Source: Natural Hazards Review:;2026:;Volume ( 027 ):;issue: 002:;page 04026006-1
    Author(s): Mokarram, Marzieh; Zarei, Abdol Rassoul
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThis study aims to analyze the morphological indices of river channels in Shiraz, located in southwestern Iran, through the examination of morphological parameters and the application of remote-sensing (RS) indices ...
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