Dataset100-year flood susceptibility maps for the continental U.S. derived with a geomorphic method

?title100-year flood susceptibility maps for the continental U.S. derived with a geomorphic method
?creatororcidSamela, C. (Caterina)
?contributororcidManfreda, S. (Salvatore)
?contributororcidTroy, T.J. (Tara)
?date accepted2017-01-03
?date created2015 through 2016
?date published2016
Binary raster dataset (.txt format) containing flood susceptibility maps related to 100-year river floods occurring in the continental U.S. These mapping products were derived through terrain analysis and a technique of pattern classification performed on DEMs obtained from HydroSHEDS ( with a 3 arc-second resolution (0.00083333 degree, approximatively 90 m at the equator). Specifically, the flood-prone areas were identified by applying a linear binary classifier based upon the Geomorphic Flood Index (Manfreda et al., 2015; Samela et al., 2015; Samela et al., 2016 ). The raster maps have a 90 m resolution and are geo-referenced. The coordinate system of the maps is UTM (Universal Transverse Mercator) Zone 17N, the projection is Transverse Mercator, and the geodetic system is NAD (North American Datum) 1983.
To simplify the management and the use of the data, the continental U.S. was divided into eighteen major water resources regions according to the hydrologic units identified by the United States Geological Survey.
?publisherUniversity of Basilicata
?spatial coverageUnited States of America - Continental U.S.
?subjectDigital elevation models (DEMs) ● Flood hazard susceptibility ● Geomorphic flood index ● Hydraulic engineering ● Linear binary classification ● Rivers ● Terrain analysis ● USA
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?related publicationnew windowDEM-Based Approaches for the Delineation of Flood-Prone Areas in an Ungauged Basin in Africa (article, 2016)
?related publicationnew windowFlood-prone areas assessment using linear binary classifiers based on flood maps obtained from 1D and 2D hydraulic models (Natural Hazards, 2015)
?related publicationnew windowFlood-Prone Areas Assessment Using Linear Binary Classifiers based on Morphological Indices (article, 2014)
?related publicationnew windowInvestigation on the use of geomorphic approaches for the delineation of flood prone areas (article, 2014)
+contents of this dataset, 19 files
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