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Human displacements, fatalities, and economic damages linked to remotely observed floods
We present a new open source dataset FLODIS that links estimates of flood-induced human displacements, fatalities, and economic damages to flooded areas observed through remote sensing. The dataset connects displacement data from the Internal Displacement Monitoring Centre (IDMC), as well as data on...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10363124/ https://www.ncbi.nlm.nih.gov/pubmed/37481606 http://dx.doi.org/10.1038/s41597-023-02376-9 |
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author | Mester, Benedikt Frieler, Katja Schewe, Jacob |
author_facet | Mester, Benedikt Frieler, Katja Schewe, Jacob |
author_sort | Mester, Benedikt |
collection | PubMed |
description | We present a new open source dataset FLODIS that links estimates of flood-induced human displacements, fatalities, and economic damages to flooded areas observed through remote sensing. The dataset connects displacement data from the Internal Displacement Monitoring Centre (IDMC), as well as data on fatalities and damages from the Emergency Events Database (EM-DAT), with the Global Flood Database (GFD), a satellite-based inventory of historic flood footprints. It thereby provides a spatially explicit estimate of the flood hazard underlying each individual disaster event. FLODIS contains two datasets with event-specific information for 335 human displacement events and 695 mortality/damage events that occurred around the world between 2000 and 2018. Additionally, we provide estimates of affected population, GDP, and critical infrastructure, as well as socio-economic indicators; and we provide geocoding for displacement events ascribed to other types of disasters, such as tropical cyclones, so that they may be linked to corresponding hazard estimates in future work. FLODIS facilitates integrated flood risk analysis, allowing, for example, for detailed assessments of local flood-damage and displacement vulnerability. |
format | Online Article Text |
id | pubmed-10363124 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-103631242023-07-24 Human displacements, fatalities, and economic damages linked to remotely observed floods Mester, Benedikt Frieler, Katja Schewe, Jacob Sci Data Data Descriptor We present a new open source dataset FLODIS that links estimates of flood-induced human displacements, fatalities, and economic damages to flooded areas observed through remote sensing. The dataset connects displacement data from the Internal Displacement Monitoring Centre (IDMC), as well as data on fatalities and damages from the Emergency Events Database (EM-DAT), with the Global Flood Database (GFD), a satellite-based inventory of historic flood footprints. It thereby provides a spatially explicit estimate of the flood hazard underlying each individual disaster event. FLODIS contains two datasets with event-specific information for 335 human displacement events and 695 mortality/damage events that occurred around the world between 2000 and 2018. Additionally, we provide estimates of affected population, GDP, and critical infrastructure, as well as socio-economic indicators; and we provide geocoding for displacement events ascribed to other types of disasters, such as tropical cyclones, so that they may be linked to corresponding hazard estimates in future work. FLODIS facilitates integrated flood risk analysis, allowing, for example, for detailed assessments of local flood-damage and displacement vulnerability. Nature Publishing Group UK 2023-07-22 /pmc/articles/PMC10363124/ /pubmed/37481606 http://dx.doi.org/10.1038/s41597-023-02376-9 Text en © The Author(s) 2023 https://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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Mester, Benedikt Frieler, Katja Schewe, Jacob Human displacements, fatalities, and economic damages linked to remotely observed floods |
title | Human displacements, fatalities, and economic damages linked to remotely observed floods |
title_full | Human displacements, fatalities, and economic damages linked to remotely observed floods |
title_fullStr | Human displacements, fatalities, and economic damages linked to remotely observed floods |
title_full_unstemmed | Human displacements, fatalities, and economic damages linked to remotely observed floods |
title_short | Human displacements, fatalities, and economic damages linked to remotely observed floods |
title_sort | human displacements, fatalities, and economic damages linked to remotely observed floods |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10363124/ https://www.ncbi.nlm.nih.gov/pubmed/37481606 http://dx.doi.org/10.1038/s41597-023-02376-9 |
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