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New perspectives for mapping global population distribution using world settlement footprint products

New perspectives for mapping global population distribution using world settlement footprint products
New perspectives for mapping global population distribution using world settlement footprint products
In the production of gridded population maps, remotely sensed, human settlement datasets rank among the most important geographical factors to estimate population densities and distributions at regional and global scales. Within this context, the German Aerospace Centre (DLR) has developed a new suite of global layers, which accurately describe the built-up environment and its characteristics at high spatial resolution: (i) the World Settlement Footprint 2015 layer (WSF-2015), a binary settlement mask; and (ii) the experimental World Settlement Footprint Density 2015 layer (WSF-2015-Density), representing the percentage of impervious surface. This research systematically compares the effectiveness of both layers for producing population distribution maps through a dasymetric mapping approach in nine low-, middle-, and highly urbanised countries. Results indicate that the WSF-2015-Density layer can produce population distribution maps with higher qualitative and quantitative accuracies in comparison to the already established binary approach, especially in those countries where a good percentage of building structures have been identified within the rural areas. Moreover, our results suggest that population distribution accuracies could substantially improve through the dynamic preselection of the input layers and the correct parameterisation of the Settlement Size Complexity (SSC) index.
2071-1050
Palacios-Lopez, Daniela
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Bachofer, Felix
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Esch, Thomas
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Heldens, Wieke
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Hirner, Andreas
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Marconcini, Mattia
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Sorichetta, Alessandro
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Zeidler, Julian
b470489b-5ffa-4725-97c0-4b8814a0a3fa
Kuenzer, Claudia
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Dech, Stefan
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Tatem, Andrew
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Reinartz, Peter
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Palacios-Lopez, Daniela
420272b8-7376-4b7d-a092-bc28b3d847c5
Bachofer, Felix
f6455159-d579-4760-9ec7-828637d036dd
Esch, Thomas
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Heldens, Wieke
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Hirner, Andreas
7bb3f5fc-a629-4fca-8f8b-6b7d54ae69ac
Marconcini, Mattia
86ac2591-f378-4302-8165-d2940c6dff04
Sorichetta, Alessandro
c80d941b-a3f5-4a6d-9a19-e3eeba84443c
Zeidler, Julian
b470489b-5ffa-4725-97c0-4b8814a0a3fa
Kuenzer, Claudia
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Dech, Stefan
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Tatem, Andrew
6c6de104-a5f9-46e0-bb93-a1a7c980513e
Reinartz, Peter
a9610725-e18d-4abf-88c3-91b177b5b951

Palacios-Lopez, Daniela, Bachofer, Felix, Esch, Thomas, Heldens, Wieke, Hirner, Andreas, Marconcini, Mattia, Sorichetta, Alessandro, Zeidler, Julian, Kuenzer, Claudia, Dech, Stefan, Tatem, Andrew and Reinartz, Peter (2019) New perspectives for mapping global population distribution using world settlement footprint products. Sustainability. (doi:10.3390/su11216056).

Record type: Article

Abstract

In the production of gridded population maps, remotely sensed, human settlement datasets rank among the most important geographical factors to estimate population densities and distributions at regional and global scales. Within this context, the German Aerospace Centre (DLR) has developed a new suite of global layers, which accurately describe the built-up environment and its characteristics at high spatial resolution: (i) the World Settlement Footprint 2015 layer (WSF-2015), a binary settlement mask; and (ii) the experimental World Settlement Footprint Density 2015 layer (WSF-2015-Density), representing the percentage of impervious surface. This research systematically compares the effectiveness of both layers for producing population distribution maps through a dasymetric mapping approach in nine low-, middle-, and highly urbanised countries. Results indicate that the WSF-2015-Density layer can produce population distribution maps with higher qualitative and quantitative accuracies in comparison to the already established binary approach, especially in those countries where a good percentage of building structures have been identified within the rural areas. Moreover, our results suggest that population distribution accuracies could substantially improve through the dynamic preselection of the input layers and the correct parameterisation of the Settlement Size Complexity (SSC) index.

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Submitted date: 3 September 2019
Accepted/In Press date: 28 October 2019
Published date: 31 October 2019

Identifiers

Local EPrints ID: 435474
URI: http://eprints.soton.ac.uk/id/eprint/435474
ISSN: 2071-1050
PURE UUID: 2c2c56ba-13c4-4ea1-b3dd-2d89d667cc6c
ORCID for Alessandro Sorichetta: ORCID iD orcid.org/0000-0002-3576-5826
ORCID for Andrew Tatem: ORCID iD orcid.org/0000-0002-7270-941X

Catalogue record

Date deposited: 07 Nov 2019 17:30
Last modified: 10 Dec 2019 01:37

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