Zonation of Flood-Prone Areas Based on Remote Sensing Data and Hydrodynamic Models

Many watersheds in Manokwari are classified as flood-prone areas with a frequency of more than 1 flood per year. Limited rain stations and climate make it difficult to the zoning areas. This study aims utilize remote sensing data hydrodynamic models zone (DAS). The research was conducted Wosi Watershed - Regency West Papua Province. used this is DEMNAS topographic data, Climate Hazards Group Infrared Precipitation Stations (CHIRPS) acquired 1996 – 2020, Sentinel 2 imagery 21 September river maps. peak flow watershed analyzed using rational methods hazard HEC-RAS. showed that River not able accommodate at various return periods, consequently, had potential for flooding every results relevant actual events, therefore can be analyze zoning.Keywords: Stations, DEMNAS, HEC-RAS, Satellite Imagery, 2.