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GFPLAIN250m, a global high-resolution dataset of Earth’s floodplains
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 fi...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6335616/ https://www.ncbi.nlm.nih.gov/pubmed/30644852 http://dx.doi.org/10.1038/sdata.2018.309 |
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author | Nardi, F. Annis, A. Di Baldassarre, G. Vivoni, E. R. Grimaldi, S. |
author_facet | Nardi, F. Annis, A. Di Baldassarre, G. Vivoni, E. R. Grimaldi, S. |
author_sort | Nardi, F. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6335616 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-63356162019-01-18 GFPLAIN250m, a global high-resolution dataset of Earth’s floodplains Nardi, F. Annis, A. Di Baldassarre, G. Vivoni, E. R. Grimaldi, S. Sci Data Data Descriptor 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. Nature Publishing Group 2019-01-15 /pmc/articles/PMC6335616/ /pubmed/30644852 http://dx.doi.org/10.1038/sdata.2018.309 Text en Copyright © 2019, The Author(s) http://creativecommons.org/licenses/by/4.0/ Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article. |
spellingShingle | Data Descriptor Nardi, F. Annis, A. Di Baldassarre, G. Vivoni, E. R. Grimaldi, S. GFPLAIN250m, a global high-resolution dataset of Earth’s floodplains |
title | GFPLAIN250m, a global high-resolution dataset of Earth’s floodplains |
title_full | GFPLAIN250m, a global high-resolution dataset of Earth’s floodplains |
title_fullStr | GFPLAIN250m, a global high-resolution dataset of Earth’s floodplains |
title_full_unstemmed | GFPLAIN250m, a global high-resolution dataset of Earth’s floodplains |
title_short | GFPLAIN250m, a global high-resolution dataset of Earth’s floodplains |
title_sort | gfplain250m, a global high-resolution dataset of earth’s floodplains |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6335616/ https://www.ncbi.nlm.nih.gov/pubmed/30644852 http://dx.doi.org/10.1038/sdata.2018.309 |
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