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contributor authorMokarram, Marzieh
contributor authorZarei, Abdol Rassoul
date accessioned2026-08-20T21:09:09Z
date available2026-08-20T21:09:09Z
date copyright2026/02/04
date issued2026
identifier otherNHREFO.NHENG-2618.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314031
description abstractAbstractThis 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 to delineate flood zones. RS ...Practical ApplicationsFlooding poses a significant threat to urban areas, and this study provides a practical toolkit for city planners and water resource managers to predict better and manage these risks. Our research in Shiraz, Iran, demonstrates that ...
publisherAmerican Society of Civil Engineers
titleDetermining Potential Areas for Flood Inundation Using Remote Sensing and Artificial Neural Networks
typeJournal Article
journal volume27
journal issue2
journal titleNatural Hazards Review
identifier doi10.1061/NHREFO.NHENG-2618
journal fristpage04026006-1
journal lastpage04026006-14
page14
treeNatural Hazards Review:;2026:;Volume ( 027 ):;issue: 002
contenttypeFulltext


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