DocumentCode
143367
Title
Flood hazard mapping combining high resolution multi-temporal SAR data and coarse resolution global hydrodynamic modelling
Author
Chini, Marco ; Giustarini, Laura ; Matgen, Patrick ; Hostache, Renaud ; Pappenberger, Florian ; Bally, Philippe
Author_Institution
Centre de Rech. Public - Gabriel Lippmann, Luxembourg, Luxembourg
fYear
2014
fDate
13-18 July 2014
Firstpage
2394
Lastpage
2396
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.
Keywords
floods; hydrological techniques; remote sensing by radar; rivers; synthetic aperture radar; ENVISAT ASAR; Severn river; UK; coarse resolution global hydrodynamic modelling; flood hazard mapping; global ECMWF flood inundation model; global flood inundation modeling; high resolution multitemporal SAR data; microwave remote sensing; nonexceedance probabilities; remote sensing images; Atmospheric modeling; Computational modeling; Floods; Remote sensing; Rivers; Spatial resolution; Flood Mapping; Global Flood Hazard; Global Inundation Model; SAR;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location
Quebec City, QC
Type
conf
DOI
10.1109/IGARSS.2014.6946953
Filename
6946953
Link To Document