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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Published in | Scientific data Vol. 7; no. 1; p. 242 |
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Main Authors | , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
London
Nature Publishing Group UK
20.07.2020
Nature Publishing Group |
Subjects | |
Online Access | Get full text |
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Summary: | 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.).
Measurement(s)
global settlement extent
Technology Type(s)
satellite imaging • machine learning
Factor Type(s)
geographic location
Sample Characteristic - Environment
anthropogenic environment • populated place
Sample Characteristic - Location
Earth (planet)
Machine-accessible metadata file describing the reported data:
https://doi.org/10.6084/m9.figshare.12424970 |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 2052-4463 2052-4463 |
DOI: | 10.1038/s41597-020-00580-5 |