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245 00 |a Analysis of non-linear inundation from sea-level rise using LIDAR data: a case study for South Florida |h [electronic resource].
260        |a [S.l.] : |b Springer Science & Business Media B.V., |c 2010.
490        |a Climatic Change.
506        |a Please contact the owning institution for licensing and permissions. It is the user's responsibility to ensure use does not violate any third party rights.
520 3    |a By analyzing a digital elevation model (DEM) derived from airborne light detection and ranging (LIDAR) data and airborne height finder measurements, this study demonstrates that a 1.5msea-level rise by 2100 would cause inundation of large areas of Miami-Dade County, southern Broward County, and Everglades National Park. Inundation processes are non-linear: inundation is gradual before reaching a threshold, and speeds up rapidly afterwards due to the regional topography. Accelerated sea-level rise will cause the threshold to be reached sooner by amplifying the non-linear inundation, and must be considered in policy-making. Comparison of inundated areas extracted from 30 m LIDAR and USGS DEMs indicates that the vertical accuracy of a DEM has a great effect on delineation of inundation areas. For a 1.5 m sea-level rise, the inundated area delineated by USGS DEM for Broward County is 1.65 times greater than that indicated by the LIDAR DEM.
533        |a Electronic reproduction. |c Florida International University, |d 2015. |f (dpSobek) |n Mode of access: World Wide Web. |n System requirements: Internet connectivity; Web browser software.
650        |a Climatic Change.
650        |a Sea Level Rise.
650        |a Inundations.
650        |a Topography.
651        |a Florida.
700        |a Keqi Zhang.
773 0    |t Analysis of non-linear inundation from sea-level rise using LIDAR data: a case study for South Florida
830    0 |a dpSobek.
830    0 |a Sea Level Rise.
830    0 |a Florida Documents Collection.
830    0 |a South Florida Collection.
852        |a dpSobek |c Sea Level Rise
856 40 |u http://dpanther.fiu.edu/dpService/dpPurlService/purl/FI15060901/00001 |y Click here for full text
856 42 |3 FULL TEXT |u http://download.springer.com/static/pdf/287/art%253A10.1007%252Fs10584-010-9987-2.pdf?originUrl=http%3A%2F%2Flink.springer.com%2Farticle%2F10.1007%2Fs10584-010-9987-2&token2=exp=1487607312~acl=%2Fstatic%2Fpdf%2F287%2Fart%25253A10.1007%25252Fs10584-010-9987-2.pdf%3ForiginUrl%3Dhttp%253A%252F%252Flink.springer.com%252Farticle%252F10.1007%252Fs10584-010-9987-2*~hmac=e638d1040db8f2dfb64917e869eb006bce1f5621dcb900d0c53ebe2059eae7ec |y Analysis of non-linear inundation from sea-level rise using LIDAR data: a case study for South Florida
992 04 |a http://dpanther.fiu.edu/sobek/content/FI/15/06/09/01/00001/FI15060901_thm.jpg
997        |a Sea Level Rise


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