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Can ISO-Defined Urban Sustainability Indicators Be Derived from Remote Sensing: An Expert Weighting Approach

Author

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  • Arthur Lehner

    (Center for Energy, Austrian Institute of Technology, Vienna 1210, Austria
    Department of Geoinformatics, University of Salzburg, Salzburg 5020, Austria)

  • Christoph Erlacher

    (Department of Geoinformatics, University of Salzburg, Salzburg 5020, Austria
    Department of Geoinformation and Environmental Technologies, Carinthia University of Applied Sciences, Villach 9500, Austria)

  • Matthias Schlögl

    (Transportation Infrastructure Technologies, Austrian Institute of Technology, Vienna 1210, Austria
    Institute of Applied Statistics and Computing, University of Natural Resources and Life Sciences, Vienna 1190, Austria)

  • Jacob Wegerer

    (Center for Energy, Austrian Institute of Technology, Vienna 1210, Austria)

  • Thomas Blaschke

    (Department of Geoinformatics, University of Salzburg, Salzburg 5020, Austria)

  • Klaus Steinnocher

    (Center for Energy, Austrian Institute of Technology, Vienna 1210, Austria)

Abstract

In the context of the United Nations’ “Agenda 2030 for Sustainable Development” and the presented Sustainable Development Goals (SDGs), the process of developing and agreeing on indicators to monitor the SDGs implementation becomes fundamental. In this paper, we identify indicators for the sustainable development of cities that have the greatest potential for their underlying data to be measured by means of remote sensing. We first identified existing indicators, which are derived from the International Standard ISO 37120, “Indicators for city services and quality of life”, as being partly or fully measured by the use of remote sensing, and then presented these indicators to remote sensing experts in an assessment procedure. We then investigated Multi-Criteria Decision-Making (MCDM) weighting methods to identify the most relevant quality of life indicators that can be captured by means of remote sensing techniques. We assess the remote sensing experts’ knowledge in the context of Decision Support Systems (DSS), and by means of both a questionnaire-based approach and a pairwise comparison approach. The approaches are compared with each other regarding their complexity, their potentials and limitations, and the respectively identified remote sensing based indicators. We identified three indicators related to surface characteristics as having the highest remote sensing potential. When contrasted to the results of the pairwise comparison, the questionnaire-based approach revealed high usability and confirmability. In the end, this approach enables cities’ administrations to decide which indicators they want to cover by means of remote sensing, depending on the capacities of their departments.

Suggested Citation

  • Arthur Lehner & Christoph Erlacher & Matthias Schlögl & Jacob Wegerer & Thomas Blaschke & Klaus Steinnocher, 2018. "Can ISO-Defined Urban Sustainability Indicators Be Derived from Remote Sensing: An Expert Weighting Approach," Sustainability, MDPI, vol. 10(4), pages 1-31, April.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:4:p:1268-:d:142213
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    References listed on IDEAS

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