Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  explores a method to combine the time and space continuity of a  large-scale inundation model with discontinuous satellite microwave observations, for  high-resolution flood hazard mapping. The assumption behind this approach is that hydraulic variables computed from continuous spatially-distributed hydrodynamic modeling and observed as discrete satellite-derived flood extents are correlated in time, so that probabilities can be transferred from the model series to the observations. A prerequisite is, therefore, the existence of a significant correlation beten a modeled variable (i.e., flood extent or volume) and the synchronously-observed flood extent. If this is the case, the availability of model simulations over a long time period allows for a robust estimate of non-exceedance probabilities that can be attributed to corresponding synchronously-available satellite observations. The generated flood hazard map has a spatial resolution equal to that of the satellite images, which is higher than that of currently available large scale inundation models. The method was applied on the Severn River (UK), using the outputs of a global inundation model provided by the European Centre for Medium-range ather Forecasts and a large collection of ENVISAT ASAR imagery. A comparison beten the hazard map obtained with the proposed method and with a more traditional numerical modeling approach supports the hypothesis that combining model results and satellite observations could provide advantages for high-resolution flood hazard mapping, provided that a sufficient number of remote sensing images is available and that a time correlation is present beten variables derived from a global model and obtained from satellite observations.
['Laura Giustarini', 'Marco Chini', 'Renaud Hostache', 'Florian Pappenberger', 'Patrick Matgen']
I am writing a research paper on a idea Flood Hazard Mapping Combining Hydrodynamic Modeling and Multi Annual Remote Sensing data
[{"from": "human", "value": "I am writing a research paper on a idea Flood Hazard Mapping Combining Hydrodynamic Modeling and Multi Annual Remote Sensing data"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  explores a method to combine the time and space continuity of a  large-scale inundation model with discontinuous satellite microwave observations, for  high-resolution flood hazard mapping. The assumption behind this approach is that hydraulic variables computed from continuous spatially-distributed hydrodynamic modeling and observed as discrete satellite-derived flood extents are correlated in time, so that probabilities can be transferred from the model series to the observations. A prerequisite is, therefore, the existence of a significant correlation beten a modeled variable (i.e., flood extent or volume) and the synchronously-observed flood extent. If this is the case, the availability of model simulations over a long time period allows for a robust estimate of non-exceedance probabilities that can be attributed to corresponding synchronously-available satellite observations. The generated flood hazard map has a spatial resolution equal to that of the satellite images, which is higher than that of currently available large scale inundation models. The method was applied on the Severn River (UK), using the outputs of a global inundation model provided by the European Centre for Medium-range ather Forecasts and a large collection of ENVISAT ASAR imagery. A comparison beten the hazard map obtained with the proposed method and with a more traditional numerical modeling approach supports the hypothesis that combining model results and satellite observations could provide advantages for high-resolution flood hazard mapping, provided that a sufficient number of remote sensing images is available and that a time correlation is present beten variables derived from a global model and obtained from satellite observations."}]