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Open and Consistent Geospatial Data on Population Density, Built-Up and Settlements to Analyse Human Presence, Societal Impact and Sustainability: A Review of GHSL Applications

Author

Listed:
  • Daniele Ehrlich

    (European Commission, Joint Research Centre, Via Enrico Fermi, 20127 Ispra, Italy)

  • Sergio Freire

    (European Commission, Joint Research Centre, Via Enrico Fermi, 20127 Ispra, Italy)

  • Michele Melchiorri

    (Engineering S.p.A., Piazzale dell’Agricoltura 24, 00144 Roma, Italy)

  • Thomas Kemper

    (European Commission, Joint Research Centre, Via Enrico Fermi, 20127 Ispra, Italy)

Abstract

This review analyses peer-reviewed scientific publications and policy documents that use built-up density, population density and settlement typology spatial grids from the Global Human Settlement Layer (GHSL) project to quantify human presence and processes for sustainability. Such open and free grids provide detailed time series spanning 1975–2015 developed with consistent approaches. Improving our knowledge of cities and settlements by measuring their size extent, as well as the societal processes occurring within settlements, is key to understanding their impact on the local, regional and global environment for addressing global sustainability and the integrity of planet Earth. The reviewed papers are grouped around five main topics: Quantifying human presence; assessing settlement growth over time; estimating societal impact, assessing natural hazard risk and impact, and generating indicators for international framework agreements and policy documents. This review calls for continuing to refine and expand the work on societal variables that, when combined with essential variables including those for climate, biodiversity and ocean, can improve our understanding of the societal impact on the biosphere and help to monitor progress towards local, regional and planetary sustainability.

Suggested Citation

  • Daniele Ehrlich & Sergio Freire & Michele Melchiorri & Thomas Kemper, 2021. "Open and Consistent Geospatial Data on Population Density, Built-Up and Settlements to Analyse Human Presence, Societal Impact and Sustainability: A Review of GHSL Applications," Sustainability, MDPI, vol. 13(14), pages 1-24, July.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:14:p:7851-:d:593867
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    References listed on IDEAS

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    1. Galdo,Virgilio & Li,Yue & Rama,Martin G., 2018. "Identifying Urban Areas by Combining Data from the Ground and from Outer Space : An Application to India," Policy Research Working Paper Series 8628, The World Bank.
    2. Bódis, Katalin & Kougias, Ioannis & Jäger-Waldau, Arnulf & Taylor, Nigel & Szabó, Sándor, 2019. "A high-resolution geospatial assessment of the rooftop solar photovoltaic potential in the European Union," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
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