Flood Hazard Mapping Combining Hydrodynamic Modeling and Multi Annual Remote Sensing data
This paper 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-...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2015-10-01
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| Series: | Remote Sensing |
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| Online Access: | http://www.mdpi.com/2072-4292/7/10/14200 |
| _version_ | 1798024530956910592 |
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| author | Laura Giustarini Marco Chini Renaud Hostache Florian Pappenberger Patrick Matgen |
| author_facet | Laura Giustarini Marco Chini Renaud Hostache Florian Pappenberger Patrick Matgen |
| author_sort | Laura Giustarini |
| collection | DOAJ |
| description | This paper 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 between 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 Weather Forecasts and a large collection of ENVISAT ASAR imagery. A comparison between 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 between variables derived from a global model and obtained from satellite observations. |
| first_indexed | 2024-04-11T18:04:05Z |
| format | Article |
| id | doaj.art-4a588bb976a9416385ef0c2483d9fb30 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-04-11T18:04:05Z |
| publishDate | 2015-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-4a588bb976a9416385ef0c2483d9fb302022-12-22T04:10:22ZengMDPI AGRemote Sensing2072-42922015-10-01710142001422610.3390/rs71014200rs71014200Flood Hazard Mapping Combining Hydrodynamic Modeling and Multi Annual Remote Sensing dataLaura Giustarini0Marco Chini1Renaud Hostache2Florian Pappenberger3Patrick Matgen4Luxembourg Institute of Science and Technology, 5, avenue des Hauts-Fourneaux, L-4362 Esch sur Alzette, LuxembourgLuxembourg Institute of Science and Technology, 5, avenue des Hauts-Fourneaux, L-4362 Esch sur Alzette, LuxembourgLuxembourg Institute of Science and Technology, 5, avenue des Hauts-Fourneaux, L-4362 Esch sur Alzette, LuxembourgEuropean Centre for Medium Range Weather Forecasts, Reading RG2 9AX, UKLuxembourg Institute of Science and Technology, 5, avenue des Hauts-Fourneaux, L-4362 Esch sur Alzette, LuxembourgThis paper 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 between 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 Weather Forecasts and a large collection of ENVISAT ASAR imagery. A comparison between 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 between variables derived from a global model and obtained from satellite observations.http://www.mdpi.com/2072-4292/7/10/14200floodshazardSARhydraulic modelinghydrology |
| spellingShingle | Laura Giustarini Marco Chini Renaud Hostache Florian Pappenberger Patrick Matgen Flood Hazard Mapping Combining Hydrodynamic Modeling and Multi Annual Remote Sensing data Remote Sensing floods hazard SAR hydraulic modeling hydrology |
| title | Flood Hazard Mapping Combining Hydrodynamic Modeling and Multi Annual Remote Sensing data |
| title_full | Flood Hazard Mapping Combining Hydrodynamic Modeling and Multi Annual Remote Sensing data |
| title_fullStr | Flood Hazard Mapping Combining Hydrodynamic Modeling and Multi Annual Remote Sensing data |
| title_full_unstemmed | Flood Hazard Mapping Combining Hydrodynamic Modeling and Multi Annual Remote Sensing data |
| title_short | Flood Hazard Mapping Combining Hydrodynamic Modeling and Multi Annual Remote Sensing data |
| title_sort | flood hazard mapping combining hydrodynamic modeling and multi annual remote sensing data |
| topic | floods hazard SAR hydraulic modeling hydrology |
| url | http://www.mdpi.com/2072-4292/7/10/14200 |
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