IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i21p6056-d282175.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/21/6056/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/11/21/6056/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Christoph Aubrecht & Dilek Özceylan & Klaus Steinnocher & Sérgio Freire, 2013. "Multi-level geospatial modeling of human exposure patterns and vulnerability indicators," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 68(1), pages 147-163, August.
    2. Jan-Ludolf Merkens & Athanasios T. Vafeidis, 2018. "Using Information on Settlement Patterns to Improve the Spatial Distribution of Population in Coastal Impact Assessments," Sustainability, MDPI, vol. 10(9), pages 1-19, September.
    3. Edward B. Barbier & Jacob P. Hochard, 2018. "Land degradation and poverty," Nature Sustainability, Nature, vol. 1(11), pages 623-631, November.
    4. Zhongqiang Bai & Juanle Wang & Mingming Wang & Mengxu Gao & Jiulin Sun, 2018. "Accuracy Assessment of Multi-Source Gridded Population Distribution Datasets in China," Sustainability, MDPI, vol. 10(5), pages 1-15, April.
    5. Catherine Linard & Marius Gilbert & Robert W Snow & Abdisalan M Noor & Andrew J Tatem, 2012. "Population Distribution, Settlement Patterns and Accessibility across Africa in 2010," PLOS ONE, Public Library of Science, vol. 7(2), pages 1-8, February.
    6. Andrew J Tatem & Abdisalan M Noor & Craig von Hagen & Antonio Di Gregorio & Simon I Hay, 2007. "High Resolution Population Maps for Low Income Nations: Combining Land Cover and Census in East Africa," PLOS ONE, Public Library of Science, vol. 2(12), pages 1-8, December.
    7. Andres,Luis Alberto & Bhatt,Samir & Dasgupta,Basab & Echenique,Juan A. & Gething,Peter William & Grabinsky Zabludovsky,Jonathan & Joseph,George, 2018. "Geo-spatial modeling of access to water and sanitation in Nigeria," Policy Research Working Paper Series 8357, The World Bank.
    8. Filip Biljecki & Ken Arroyo Ohori & Hugo Ledoux & Ravi Peters & Jantien Stoter, 2016. "Population Estimation Using a 3D City Model: A Multi-Scale Country-Wide Study in the Netherlands," PLOS ONE, Public Library of Science, vol. 11(6), pages 1-22, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. David Sloan & Alan C. Mikkelson & Sebastian Vaduva, 2020. "The Importance of Mentorship in Diminishing Workaholism 1030 and Increasing Heavy Work Investment: Evidence from the United States," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 22(Special 1), pages 1030-1030, November.
    2. Franz Schug & David Frantz & Sebastian van der Linden & Patrick Hostert, 2021. "Gridded population mapping for Germany based on building density, height and type from Earth Observation data using census disaggregation and bottom-up estimates," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-23, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Franz Schug & David Frantz & Sebastian van der Linden & Patrick Hostert, 2021. "Gridded population mapping for Germany based on building density, height and type from Earth Observation data using census disaggregation and bottom-up estimates," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-23, March.
    2. Yen H. T. Nguyen & Tuyen Q. Tran & Dung T. Hoang & Thu M. T. Tran & Trung T. Nguyen, 2023. "Land quality, income, and poverty among rural households in the North Central Region, Vietnam," Poverty & Public Policy, John Wiley & Sons, vol. 15(2), pages 150-172, June.
    3. Gollin, Douglas & Lagakos, David & Kirchberger, Martina, 2017. "In Search of a Spatial Equilibrium in the Developing World," CEPR Discussion Papers 12114, C.E.P.R. Discussion Papers.
    4. Yan Yan & Hui Liu & Ningcheng Wang & Shenjun Yao, 2021. "How Does Low-Density Urbanization Reduce the Financial Sustainability of Chinese Cities? A Debt Perspective," Land, MDPI, vol. 10(9), pages 1-18, September.
    5. Zhongqiang Bai & Juanle Wang & Mingming Wang & Mengxu Gao & Jiulin Sun, 2018. "Accuracy Assessment of Multi-Source Gridded Population Distribution Datasets in China," Sustainability, MDPI, vol. 10(5), pages 1-15, April.
    6. Karthik Balasubramanian & David F. Drake, 2015. "Service Quality, Inventory and Competition: An Empirical Analysis of Mobile Money Agents in Africa," Harvard Business School Working Papers 15-059, Harvard Business School, revised Oct 2015.
    7. Wegenast, Tim & Richetta, Cécile & Krauser, Mario & Leibik, Alexander, 2022. "Grabbed trust? The impact of large-scale land acquisitions on social trust in Africa," World Development, Elsevier, vol. 159(C).
    8. Beatrice Asenso Barnieh & Li Jia & Massimo Menenti & Min Jiang & Jie Zhou & Yelong Zeng & Ali Bennour, 2021. "Modeling the Underlying Drivers of Natural Vegetation Occurrence in West Africa with Binary Logistic Regression Method," Sustainability, MDPI, vol. 13(9), pages 1-37, April.
    9. D. Woods & A. Cunningham & C. E. Utazi & M. Bondarenko & L. Shengjie & G. E. Rogers & P. Koper & C. W. Ruktanonchai & E. zu Erbach-Schoenberg & A. J. Tatem & J. Steele & A. Sorichetta, 2022. "Exploring methods for mapping seasonal population changes using mobile phone data," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-17, December.
    10. Catherine Linard & Marius Gilbert & Robert W Snow & Abdisalan M Noor & Andrew J Tatem, 2012. "Population Distribution, Settlement Patterns and Accessibility across Africa in 2010," PLOS ONE, Public Library of Science, vol. 7(2), pages 1-8, February.
    11. Alexandros Korkovelos & Babak Khavari & Andreas Sahlberg & Mark Howells & Christopher Arderne, 2019. "The Role of Open Access Data in Geospatial Electrification Planning and the Achievement of SDG7. An OnSSET-Based Case Study for Malawi," Energies, MDPI, vol. 12(7), pages 1-36, April.
    12. Fernanda Andrade de Xavier & Pranab Mukhopadhyay, 2023. "Can Fiscal Transfers Help India Meet Its SDG Goals?," South Asian Journal of Macroeconomics and Public Finance, , vol. 12(2), pages 218-249, December.
    13. Kiatkulchai Jitt-Aer & Graham Wall & Dylan Jones & Richard Teeuw, 2022. "Use of GIS and dasymetric mapping for estimating tsunami-affected population to facilitate humanitarian relief logistics: a case study from Phuket, Thailand," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 113(1), pages 185-211, August.
    14. Andrew P. Barnes, 2023. "The role of family life‐cycle events on persistent and transient inefficiencies in less favoured areas," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(1), pages 295-315, February.
    15. Joël Masimo Kabuanga & Onésime Mubenga Kankonda & Mehdi Saqalli & Nicolas Maestripieri & Thomas Mumuni Bilintoh & Jean-Pierre Mate Mweru & Aimé Balimbaki Liama & Radar Nishuli & Landing Mané, 2021. "Historical Changes and Future Trajectories of Deforestation in the Ituri-Epulu-Aru Landscape (Democratic Republic of the Congo)," Land, MDPI, vol. 10(10), pages 1-24, October.
    16. Eva‐Maria Egger & Aslihan Arslan & Emanuele Zucchini, 2022. "Does connectivity reduce gender gaps in off‐farm employment? Evidence from 12 low‐ and middle‐income countries," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 44(1), pages 197-218, March.
    17. Bosco Bashangwa Mpozi & Mireille Mizero & Andrew Ogolla Egesa & Paul M. Dontsop Nguezet & Bernard Vanlauwe & Patrice Ndimanya & Philippe Lebailly, 2020. "Land Access in the Development of Horticultural Crops in East Africa. A Case Study of Passion Fruit in Burundi, Kenya, and Rwanda," Sustainability, MDPI, vol. 12(7), pages 1-18, April.
    18. Zabala, Aiora & Barrios, Luis Enrique García & Pascual, Unai, 2022. "From participation to commitment in silvopastoral programmes: Insights from Chiapas, Mexico," Ecological Economics, Elsevier, vol. 200(C).
    19. Heger, Martin Philipp & Zens, Gregor & Bangalore, Mook, 2020. "Land and poverty: the role of soil fertility and vegetation quality in poverty reduction," LSE Research Online Documents on Economics 115658, London School of Economics and Political Science, LSE Library.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:11:y:2019:i:21:p:6056-:d:282175. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.