Hydrodynamic Modeling Parameter Sensitivity Analysis Using UAV Based DEM and Satellite Image

The primary catastrophe impeding urbanization in underdeveloped nations is flooding. Lead productivities, characteristics, and losses due to flooding. Additionally, it resulted in life and limb loss. Therefore, in order to lessen the threat to a certain extent, countries that are developing must priorities flood assessment and risk management. The hydrodynamic modelling is essential for calculating and estimating flood risk, but it requires a large amount of input data to simulate flood events. DEM is one of the crucial variables that have a big influence on flood estimation and risk assessment. DEMs are created using RL points, satellite techniques, and contour data. The most common and valuable DEM used for modelling currently is satellite-based DEM, such as SRTM and ALOS. Nevertheless, current developments in RS and AI have made the UAV (Drone) based DEM a very important tool to use for flood simulation in 1D and 2D. The major goal of this research is to compare the results quality by using a DEM based on UAV and a DEM based on satellite data. Due to money and resource constraints, freeware DEM is better suited for analyzing flood disasters in developing countries, but it could prove challenging for those making decisions to assess the accuracy of the simulation results. This research attempted to compare the results of two free satellite-based DEM images and one UAV-based DEM image for the modelling of flooding over an 8 km2 stretch of the Sabarmati River in Gujarat, India. For satellite-based DEM (Cartosat and ALOS) and UAV-based DEM (10 × 10 grid), the discharge, E.G. elev., and velocity parameters simulated model are compared. For hydrodynamic modelling, the HEC-RAS 6.0 unsteady flow conditions is employed. The U/S boundary is bounded by flood hydrograph and D/S boundary is considered as normal depth. For each segment, it has been noted that Cartosat and ALOS vary with some variation with UAV-based DEM. Comparing the simulation’s performance with a 10 × 10 UAV-based DEM, the parameter’s R2 shows 0.9999 and 0.9996 for the discharge, 0.7140 and 0.9073 for the E.G. elev. and 0.1279 and 0.0247 for velocity for Cartosat and ALOS, respectively. Freeware satellite extracted parameters similar to UAV-based DEM include discharge, E.G. elev., and velocity. Therefore, in developing nations, using a satellite-based DEM for wide areas (Catchment) is extremely promising; nevertheless, the UAV-based high-resolution DEM will be used for urban areas. Therefore, using numerous DEM platforms for flood simulation will be economical for decision-makers.