The dangers of floods worldwide have caused this environmental event to be called one of ‎the major natural disasters. Today, remote sensing data with accuracy and low cost play a ‎critical role in identifying flood-prone areas and flood zoning in coastal management. In the ‎present study, the flooded and flood-prone areas on the coasts of Hormozgan province were ‎investigated according to the intensity of the rainfall system in the last days of April 2024 by ‎using the GRDH images of Sentinel-1 satellite and the Otsu thresholding method. The results ‎revealed that the area and percentage of flooded zones on April 17 occupied the largest area ‎‎(28.15 km2) of the coastal surface and the highest average rainfall was also related to the same ‎date with an average of 35.05 mm. The greatest extent of changes in flood zones is also on ‎the coastline and near the border of the region, which indicates the high sensitivity and ‎susceptibility of the coastal areas to flooding in this region. According to the obtained results, ‎about 1448.36 km2 of the surface area is affected by flood zones, and the largest area is ‎assigned to the high risk category with an area of 669.30 km2. According to the obtained ‎results, it is possible to manage and control floods spatially and temporally on the coasts and ‎prevent the consequences. Therefore, in the field of coastal flood management, it is necessary ‎to pay attention to flood control methods, a suitable model to improve water supply sources ‎and improve water security for drinking and health purposes, as well as appropriate ‎bioengineering methods to stabilize soil and control erosion.‎