Palacios Lopez, Daniela and Bachofer, Felix and Esch, Thomas and Heldens, Wieke and Hirner, Andreas and Marconcini, Mattia and Sorichetta, Alessandro and Zeidler, Julian and Kuenzer, Claudia and Dech, Stefan and Tatem, Andrew and Reinartz, Peter (2019) New Perspectives for Mapping Global Population Distribution Using World Settlement Footprint Products. Sustainability, 11 (21), pp. 1-24. Multidisciplinary Digital Publishing Institute (MDPI). DOI: 10.3390/su11216056 ISSN 2071-1050
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Official URL: https://www.mdpi.com/2071-1050/11/21/6056/pdf
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.
Item URL in elib: | https://elib.dlr.de/130168/ | |||||||||||||||||||||||||||||||||||||||
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Document Type: | Article | |||||||||||||||||||||||||||||||||||||||
Title: | New Perspectives for Mapping Global Population Distribution Using World Settlement Footprint Products | |||||||||||||||||||||||||||||||||||||||
Authors: |
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Date: | 31 October 2019 | |||||||||||||||||||||||||||||||||||||||
Journal or Publication Title: | Sustainability | |||||||||||||||||||||||||||||||||||||||
Refereed publication: | Yes | |||||||||||||||||||||||||||||||||||||||
Open Access: | Yes | |||||||||||||||||||||||||||||||||||||||
Gold Open Access: | Yes | |||||||||||||||||||||||||||||||||||||||
In SCOPUS: | Yes | |||||||||||||||||||||||||||||||||||||||
In ISI Web of Science: | Yes | |||||||||||||||||||||||||||||||||||||||
Volume: | 11 | |||||||||||||||||||||||||||||||||||||||
DOI : | 10.3390/su11216056 | |||||||||||||||||||||||||||||||||||||||
Page Range: | pp. 1-24 | |||||||||||||||||||||||||||||||||||||||
Editors: |
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Publisher: | Multidisciplinary Digital Publishing Institute (MDPI) | |||||||||||||||||||||||||||||||||||||||
Series Name: | MPDI | |||||||||||||||||||||||||||||||||||||||
ISSN: | 2071-1050 | |||||||||||||||||||||||||||||||||||||||
Status: | Published | |||||||||||||||||||||||||||||||||||||||
Keywords: | global population distribution mapping; World Settlement Footprint; percent impervious surface; dasymetric mapping; Settlement Size Complexity Index | |||||||||||||||||||||||||||||||||||||||
HGF - Research field: | Aeronautics, Space and Transport | |||||||||||||||||||||||||||||||||||||||
HGF - Program: | Space | |||||||||||||||||||||||||||||||||||||||
HGF - Program Themes: | Earth Observation | |||||||||||||||||||||||||||||||||||||||
DLR - Research area: | Raumfahrt | |||||||||||||||||||||||||||||||||||||||
DLR - Program: | R EO - Erdbeobachtung | |||||||||||||||||||||||||||||||||||||||
DLR - Research theme (Project): | R - Remote sensing and geoscience | |||||||||||||||||||||||||||||||||||||||
Location: | Oberpfaffenhofen | |||||||||||||||||||||||||||||||||||||||
Institutes and Institutions: | German Remote Sensing Data Center > Land Surface Dynamics German Remote Sensing Data Center > Leitungsbereich DFD Remote Sensing Technology Institute > Photogrammetry and Image Analysis | |||||||||||||||||||||||||||||||||||||||
Deposited By: | Palacios Lopez, Daniela | |||||||||||||||||||||||||||||||||||||||
Deposited On: | 12 Nov 2019 10:01 | |||||||||||||||||||||||||||||||||||||||
Last Modified: | 20 Dec 2019 10:49 |
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