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Outlining where humans live, the World Settlement Footprint 2015
Human settlements are the cause and consequence of most environmental and societal changes on Earth; however, their location and extent is still under debate. We provide here a new 10 m resolution (0.32 arc sec) global map of human settlements on Earth for the year 2015, namely the World Settlement...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7371630/ https://www.ncbi.nlm.nih.gov/pubmed/32686674 http://dx.doi.org/10.1038/s41597-020-00580-5 |
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author | Marconcini, Mattia Metz-Marconcini, Annekatrin Üreyen, Soner Palacios-Lopez, Daniela Hanke, Wiebke Bachofer, Felix Zeidler, Julian Esch, Thomas Gorelick, Noel Kakarla, Ashwin Paganini, Marc Strano, Emanuele |
author_facet | Marconcini, Mattia Metz-Marconcini, Annekatrin Üreyen, Soner Palacios-Lopez, Daniela Hanke, Wiebke Bachofer, Felix Zeidler, Julian Esch, Thomas Gorelick, Noel Kakarla, Ashwin Paganini, Marc Strano, Emanuele |
author_sort | Marconcini, Mattia |
collection | PubMed |
description | Human settlements are the cause and consequence of most environmental and societal changes on Earth; however, their location and extent is still under debate. We provide here a new 10 m resolution (0.32 arc sec) global map of human settlements on Earth for the year 2015, namely the World Settlement Footprint 2015 (WSF2015). The raster dataset has been generated by means of an advanced classification system which, for the first time, jointly exploits open-and-free optical and radar satellite imagery. The WSF2015 has been validated against 900,000 samples labelled by crowdsourcing photointerpretation of very high resolution Google Earth imagery and outperforms all other similar existing layers; in particular, it considerably improves the detection of very small settlements in rural regions and better outlines scattered suburban areas. The dataset can be used at any scale of observation in support to all applications requiring detailed and accurate information on human presence (e.g., socioeconomic development, population distribution, risks assessment, etc.). |
format | Online Article Text |
id | pubmed-7371630 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-73716302020-07-22 Outlining where humans live, the World Settlement Footprint 2015 Marconcini, Mattia Metz-Marconcini, Annekatrin Üreyen, Soner Palacios-Lopez, Daniela Hanke, Wiebke Bachofer, Felix Zeidler, Julian Esch, Thomas Gorelick, Noel Kakarla, Ashwin Paganini, Marc Strano, Emanuele Sci Data Data Descriptor Human settlements are the cause and consequence of most environmental and societal changes on Earth; however, their location and extent is still under debate. We provide here a new 10 m resolution (0.32 arc sec) global map of human settlements on Earth for the year 2015, namely the World Settlement Footprint 2015 (WSF2015). The raster dataset has been generated by means of an advanced classification system which, for the first time, jointly exploits open-and-free optical and radar satellite imagery. The WSF2015 has been validated against 900,000 samples labelled by crowdsourcing photointerpretation of very high resolution Google Earth imagery and outperforms all other similar existing layers; in particular, it considerably improves the detection of very small settlements in rural regions and better outlines scattered suburban areas. The dataset can be used at any scale of observation in support to all applications requiring detailed and accurate information on human presence (e.g., socioeconomic development, population distribution, risks assessment, etc.). Nature Publishing Group UK 2020-07-20 /pmc/articles/PMC7371630/ /pubmed/32686674 http://dx.doi.org/10.1038/s41597-020-00580-5 Text en © The Author(s) 2020 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 associated with this article. |
spellingShingle | Data Descriptor Marconcini, Mattia Metz-Marconcini, Annekatrin Üreyen, Soner Palacios-Lopez, Daniela Hanke, Wiebke Bachofer, Felix Zeidler, Julian Esch, Thomas Gorelick, Noel Kakarla, Ashwin Paganini, Marc Strano, Emanuele Outlining where humans live, the World Settlement Footprint 2015 |
title | Outlining where humans live, the World Settlement Footprint 2015 |
title_full | Outlining where humans live, the World Settlement Footprint 2015 |
title_fullStr | Outlining where humans live, the World Settlement Footprint 2015 |
title_full_unstemmed | Outlining where humans live, the World Settlement Footprint 2015 |
title_short | Outlining where humans live, the World Settlement Footprint 2015 |
title_sort | outlining where humans live, the world settlement footprint 2015 |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7371630/ https://www.ncbi.nlm.nih.gov/pubmed/32686674 http://dx.doi.org/10.1038/s41597-020-00580-5 |
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