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New Perspectives for Mapping Global Population Distribution Using World Settlement Footprint Products

Author

Listed:
  • Daniela Palacios-Lopez

    (German Aerospace Center (DLR), German Remote Sensing Data Center (DFD), Oberpfaffenhofen, D-82234 Wessling, Germany)

  • Felix Bachofer

    (German Aerospace Center (DLR), German Remote Sensing Data Center (DFD), Oberpfaffenhofen, D-82234 Wessling, Germany)

  • Thomas Esch

    (German Aerospace Center (DLR), German Remote Sensing Data Center (DFD), Oberpfaffenhofen, D-82234 Wessling, Germany)

  • Wieke Heldens

    (German Aerospace Center (DLR), German Remote Sensing Data Center (DFD), Oberpfaffenhofen, D-82234 Wessling, Germany)

  • Andreas Hirner

    (German Aerospace Center (DLR), German Remote Sensing Data Center (DFD), Oberpfaffenhofen, D-82234 Wessling, Germany)

  • Mattia Marconcini

    (German Aerospace Center (DLR), German Remote Sensing Data Center (DFD), Oberpfaffenhofen, D-82234 Wessling, Germany)

  • Alessandro Sorichetta

    (WorldPop, Department Geography and Environment, University of Southampton, Southampton SO17 1B, UK)

  • Julian Zeidler

    (German Aerospace Center (DLR), German Remote Sensing Data Center (DFD), Oberpfaffenhofen, D-82234 Wessling, Germany)

  • Claudia Kuenzer

    (German Aerospace Center (DLR), German Remote Sensing Data Center (DFD), Oberpfaffenhofen, D-82234 Wessling, Germany)

  • Stefan Dech

    (German Aerospace Center (DLR), German Remote Sensing Data Center (DFD), Oberpfaffenhofen, D-82234 Wessling, Germany)

  • Andrew J. Tatem

    (WorldPop, Department Geography and Environment, University of Southampton, Southampton SO17 1B, UK)

  • Peter Reinartz

    (German Aerospace Center (DLR), German Remote Sensing Data Center (DFD), Oberpfaffenhofen, D-82234 Wessling, Germany)

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.

Suggested Citation

  • Daniela Palacios-Lopez & Felix Bachofer & Thomas Esch & Wieke Heldens & Andreas Hirner & Mattia Marconcini & Alessandro Sorichetta & Julian Zeidler & Claudia Kuenzer & Stefan Dech & Andrew J. Tatem & , 2019. "New Perspectives for Mapping Global Population Distribution Using World Settlement Footprint Products," Sustainability, MDPI, vol. 11(21), pages 1-24, October.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:21:p:6056-:d:282175
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    References listed on IDEAS

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