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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
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.).
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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.
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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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