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Flood depth estimation by means of high-resolution SAR images and lidar data

Cian, Fabio and Marconcini, Mattia and Ceccato, Pietro and Giupponi, Carlo (2018) Flood depth estimation by means of high-resolution SAR images and lidar data. Natural Hazards and Earth System Sciences, 18 (11), pp. 3063-3084. Copernicus Publications. DOI: https://doi.org/10.5194/nhess-18-3063-2018 ISSN 1561-8633

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Official URL: https://www.nat-hazards-earth-syst-sci.net/18/3063/2018/nhess-18-3063-2018.html

Abstract

When floods hit inhabited areas, great losses are usually registered in terms of both impacts on people (i.e., fatalities and injuries) and economic impacts on urban areas, commercial and productive sites, infrastructures, and agriculture. To properly assess these, several parameters are needed, among which flood depth is one of the most important as it governs the models used to compute damages in economic terms. This paper presents a simple yet effective semiautomatic approach for deriving very precise inundation depth. First, precise flood extent is derived employing a change detection approach based on the normalized difference flood index computed from high-resolution synthetic aperture radar imagery. Second, by means of a high-resolution lidar digital elevation model, water surface elevation is estimated through a statistical analysis of terrain elevation along the boundary lines of the identified flooded areas. Experimental results and quality assessment are given for the flood that occurred in the Veneto region, northeastern Italy, in 2010. In particular, the method proved fast and robust and, compared to hydrodynamic models, it requires sensibly less input information.

Item URL in elib:https://elib.dlr.de/124358/
Document Type:Article
Title:Flood depth estimation by means of high-resolution SAR images and lidar data
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Cian, Fabiofabio.cian (at) unive.itUNSPECIFIED
Marconcini, MattiaMattia.Marconcini (at) dlr.dehttps://orcid.org/0000-0002-5042-5176
Ceccato, PietroColumbia UniversityUNSPECIFIED
Giupponi, Carlocarlo.giupponi (at) unive.itUNSPECIFIED
Date:19 November 2018
Journal or Publication Title:Natural Hazards and Earth System Sciences
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:18
DOI :https://doi.org/10.5194/nhess-18-3063-2018
Page Range:pp. 3063-3084
Publisher:Copernicus Publications
ISSN:1561-8633
Status:Published
Keywords:flood depth estimation, SAR, lidar
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Remote sensing and geoscience
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface Dynamics
Deposited By: Marconcini, Mattia
Deposited On:06 Dec 2018 14:04
Last Modified:06 Dec 2018 14:04

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