Floodplain Hydraulics: LiDAR Applications

dc.contributorVirginia Tech GIS & Remote Sensing 2014 Research Symposiumen
dc.contributor.authorJones, C. Nathanen
dc.contributor.authorScott, Durelle T.en
dc.coverage.countryUnited Statesen
dc.coverage.stateLouisianaen
dc.date.accessioned2014-11-04T19:39:16Zen
dc.date.available2014-11-04T19:39:16Zen
dc.date.issued2014en
dc.description.abstractAs climate becomes increasingly variable, the costs to infrastructure and our society as a whole are going to rise drastically. Since the year 2000, damages due to hurricanes are estimated to be ~$260 Billion in the United States alone. This has led to changes in the national flood insurance program and could place more emphasis on flood modelling in the coming years. Here, we present a case study where remotely sensed data was used to increase the accuracy of a two-dimensional hydrodynamic flood model. The study site is a 14 km reach of the Tangipahoa River in Southern Louisiana. The reach has extensive floodplains with complex microtopography, making flowpath characterization difficult. Utilizing Light Detection and Ranging (LiDAR) data freely available from the state of Louisiana, a surface model was developed and storage zones within the floodplain were delineated. Further, information about the forest structure derived from the LiDAR was used to estimate each storage zone’s resistance to flow in the form of the Manning’s N coefficient. This produced a roughness estimation that more closely resembles the spatial heterogeneity of roughness experienced in the floodplain, thus increasing the predictive capability of the flood model.en
dc.description.sponsorshipVirginia Tech. Office of Geographical Information Systems and Remote Sensingen
dc.format.mimetypeapplication/pdfen
dc.identifier.orcidScott, Durelle T. [0000-0002-5792-789X]en
dc.identifier.urihttp://hdl.handle.net/10919/50663en
dc.language.isoenen
dc.rightsIn Copyrighten
dc.rights.holderJones, C. Nathanen
dc.rights.holderScott, Durelleen
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectStream mappingen
dc.subjectFloodplain hydraulicsen
dc.subjectOptical radar applicationsen
dc.titleFloodplain Hydraulics: LiDAR Applicationsen
dc.typePosteren
dc.type.dcmitypeTexten
dc.type.dcmitypeImageen
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