Determining the Flooding Points and comparing it with Aq Qala flood in 1398 and estimating its damage in the agricultural sector using radar images

Floods are one of the most important hazards that depending on the intensity of rainfall and other effective factors cause great damage to urban and rural areas. Predicting flood-prone areas for Planning to prevent floods and estimating flood damage for post-flood management is one of the main issues in flood planning. Today, the use of radar data is one of the newest and most effective methods in flood study.The exact details of the floods can be studied and the extent of its spread can be determined so that it can be used in future planning. In this research, to estimate flood-prone areas, the FHD model in GIS environment has been determined, which has identified the flood-prone areas, and to validate it from the cumulative flood zone obtained from Sentinel 2 images, the outputs have been fully matched.Using NDVI index, the images of ssentinel 2 in Google Earth engine were determined and its combination with GFSAD system, the type of cultivation in the study area was determined Using the cumulative flood zone layer, the areas that were flooded were examined according to what type of crops were flooded. The results showed that out of 100% of the existing lands, about 22.5% of its lands were flooded, of which about 15.5% were rainfed cultivated lands and the rest were irrigated cultivated lands.