Dataset of 100-year flood susceptibility maps for the continental U.S. derived with a geomorphic method
Efficient strategies for preparing communities to protect against, respond to, recover from, and mitigate flood hazard are often hampered by the lack of information about the position and extent of flood-prone areas. Hydrologic and hydraulic analyses allow to obtain detailed flood hazard maps, but a...
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doaj-c0d9f3041e964523a273f80b588a95f02020-11-24T21:17:42ZengElsevierData in Brief2352-34092017-06-0112C20320710.1016/j.dib.2017.03.044Dataset of 100-year flood susceptibility maps for the continental U.S. derived with a geomorphic methodCaterina Samela0Salvatore Manfreda1Tara J. Troy2Università degli Studi della Basilicata, Potenza 85100, ItalyUniversità degli Studi della Basilicata, Potenza 85100, ItalyLehigh University, Bethlehem, PA 18015, USAEfficient strategies for preparing communities to protect against, respond to, recover from, and mitigate flood hazard are often hampered by the lack of information about the position and extent of flood-prone areas. Hydrologic and hydraulic analyses allow to obtain detailed flood hazard maps, but are a computationally intensive exercise requiring a significant amount of input data, which are rarely available both in developing and developed countries. As a consequence, even in data-rich environments, official flood hazard graduations are often affected by extensive gaps. In the U.S., for instance, the detailed floodplain delineation produced by the Federal Emergency Management Agency (FEMA) is incomplete, with many counties having no floodplain mapping at all. In this article we present a mapping dataset containing 100-year flood susceptibility maps for the continental U.S. with a 90 m resolution. They have been obtained performing a linear binary classification based on the Geomorphic Flood Index (GFI). To the best knowledge of the authors, there are no available flood-prone areas maps for the entire continental U.S. with resolution lower that 30׳׳×30׳׳ (approximatively 1 km at the equator).http://www.sciencedirect.com/science/article/pii/S235234091730121XFlood susceptibilityTerrain analysisGeomorphic flood indexLinear binary classifierUSADigital elevation models (DEMs) |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Caterina Samela Salvatore Manfreda Tara J. Troy |
spellingShingle |
Caterina Samela Salvatore Manfreda Tara J. Troy Dataset of 100-year flood susceptibility maps for the continental U.S. derived with a geomorphic method Data in Brief Flood susceptibility Terrain analysis Geomorphic flood index Linear binary classifier USA Digital elevation models (DEMs) |
author_facet |
Caterina Samela Salvatore Manfreda Tara J. Troy |
author_sort |
Caterina Samela |
title |
Dataset of 100-year flood susceptibility maps for the continental U.S. derived with a geomorphic method |
title_short |
Dataset of 100-year flood susceptibility maps for the continental U.S. derived with a geomorphic method |
title_full |
Dataset of 100-year flood susceptibility maps for the continental U.S. derived with a geomorphic method |
title_fullStr |
Dataset of 100-year flood susceptibility maps for the continental U.S. derived with a geomorphic method |
title_full_unstemmed |
Dataset of 100-year flood susceptibility maps for the continental U.S. derived with a geomorphic method |
title_sort |
dataset of 100-year flood susceptibility maps for the continental u.s. derived with a geomorphic method |
publisher |
Elsevier |
series |
Data in Brief |
issn |
2352-3409 |
publishDate |
2017-06-01 |
description |
Efficient strategies for preparing communities to protect against, respond to, recover from, and mitigate flood hazard are often hampered by the lack of information about the position and extent of flood-prone areas. Hydrologic and hydraulic analyses allow to obtain detailed flood hazard maps, but are a computationally intensive exercise requiring a significant amount of input data, which are rarely available both in developing and developed countries. As a consequence, even in data-rich environments, official flood hazard graduations are often affected by extensive gaps. In the U.S., for instance, the detailed floodplain delineation produced by the Federal Emergency Management Agency (FEMA) is incomplete, with many counties having no floodplain mapping at all. In this article we present a mapping dataset containing 100-year flood susceptibility maps for the continental U.S. with a 90 m resolution. They have been obtained performing a linear binary classification based on the Geomorphic Flood Index (GFI). To the best knowledge of the authors, there are no available flood-prone areas maps for the entire continental U.S. with resolution lower that 30׳׳×30׳׳ (approximatively 1 km at the equator). |
topic |
Flood susceptibility Terrain analysis Geomorphic flood index Linear binary classifier USA Digital elevation models (DEMs) |
url |
http://www.sciencedirect.com/science/article/pii/S235234091730121X |
work_keys_str_mv |
AT caterinasamela datasetof100yearfloodsusceptibilitymapsforthecontinentalusderivedwithageomorphicmethod AT salvatoremanfreda datasetof100yearfloodsusceptibilitymapsforthecontinentalusderivedwithageomorphicmethod AT tarajtroy datasetof100yearfloodsusceptibilitymapsforthecontinentalusderivedwithageomorphicmethod |
_version_ |
1726012517613830144 |