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GFPLAIN250m, a global high-resolution dataset of Earth's floodplains
Univ Foreigners Perugia, Water Resources Res & Documentat Ctr WARREDOC, Perugia, Italy.
Univ Foreigners Perugia, Water Resources Res & Documentat Ctr WARREDOC, Perugia, Italy.
Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, LUVAL. CNDS, Ctr Nat Hazards & Disaster Sci, Uppsala, Sweden;IHE Delft Inst Water Educ, Delft, Netherlands.ORCID iD: 0000-0002-8180-4996
Arizona State Univ, Sch Earth & Space Explorat, Tempe, AZ USA;Arizona State Univ, Sch Sustainable Engn & Built Environm, Tempe, AZ USA.
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2019 (English)In: Scientific Data, E-ISSN 2052-4463, Vol. 6, article id 180309Article in journal (Refereed) Published
Abstract [en]

Identifying floodplain boundaries is of paramount importance for earth, environmental and socioeconomic studies addressing riverine risk and resource management. However, to date, a global floodplain delineation using a homogeneous procedure has not been constructed. In this paper, we present the first, comprehensive, high-resolution, gridded dataset of Earth's floodplains at 250-m resolution (GFPLAIN250m). We use the Shuttle Radar Topography Mission (SRTM) digital terrain model and set of terrain analysis procedures for geomorphic floodplain delineations. The elevation data are processed by a fast geospatial tool for floodplain mapping available for download at https://github.com/fnardi/GFPLAIN. The GFPLAIN250m dataset can support many applications, including flood hazard mapping, habitat restoration, development studies, and the analysis of human-flood interactions. To test the GFPLAIN250m dataset, we perform a consistency analysis with floodplain delineations derived by flood hazard modelling studies in Europe.

Place, publisher, year, edition, pages
NATURE PUBLISHING GROUP , 2019. Vol. 6, article id 180309
National Category
Oceanography, Hydrology and Water Resources Geosciences, Multidisciplinary
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URN: urn:nbn:se:uu:diva-375870DOI: 10.1038/sdata.2018.309ISI: 000455601400001PubMedID: 30644852OAI: oai:DiVA.org:uu-375870DiVA, id: diva2:1285247
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EU, European Research Council, 761678Available from: 2019-02-04 Created: 2019-02-04 Last updated: 2019-02-04Bibliographically approved

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