Flood hazard mapping combining high resolution multi-temporal SAR data and coarse resolution global hydrodynamic modelling

Marco Chini, Laura Giustarini, Patrick Matgen, Renaud Hostache, Florian Pappenberger, Philippe Bally

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

5 Citations (Scopus)

Abstract

A new method for flood hazard mapping that integrates global flood inundation modeling and microwave remote sensing is presented. It combines the time and space continuity of a global inundation model with the limited revisit time but high spatial resolution of satellite observations. The availability of model simulations over a long time period allows a robust estimate of non-exceedance probabilities that can be attributed to the corresponding satellite observations. The resulting flood hazard map will have a spatial resolution equal to that of the used satellite images, generally higher than that of the global inundation model. This can theoretically be done for any point in the world, allowing the estimation of flood hazard at a global scale, provided that a sufficient number of remote sensing images are available. The method is tested on the Severn River (UK), with a high number of flood events observed by ENVISAT ASAR. The global ECMWF flood inundation model is considered for this study.

Original languageEnglish
Title of host publicationInternational Geoscience and Remote Sensing Symposium (IGARSS)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages2394-2396
Number of pages3
ISBN (Print)9781479957750
DOIs
Publication statusPublished - 1 Jan 2014
EventJoint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014 - Quebec City, United Kingdom
Duration: 13 Jul 201418 Jul 2014

Conference

ConferenceJoint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014
CountryUnited Kingdom
CityQuebec City
Period13/07/1418/07/14

Keywords

  • Flood Mapping
  • Global Flood Hazard
  • Global Inundation Model
  • SAR

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