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Seeing Sustainability from Space: Using Earth Observation Data to Populate the UN Sustainable Development Goal Indicators

Author

Listed:
  • Ana Andries

    (Centre for Environment and Sustainability, University of Surrey, Guildford GU2 7XH, UK)

  • Stephen Morse

    (Centre for Environment and Sustainability, University of Surrey, Guildford GU2 7XH, UK)

  • Richard J. Murphy

    (Centre for Environment and Sustainability, University of Surrey, Guildford GU2 7XH, UK)

  • Jim Lynch

    (Centre for Environment and Sustainability, University of Surrey, Guildford GU2 7XH, UK)

  • Emma R. Woolliams

    (Environment Department, National Physical Laboratory, Teddington TW11 0LW, UK)

Abstract

In 2015, member countries of the United Nations adopted the 17 Sustainable Development Goals (SDGs) at the Sustainable Development Summit in New York. These global goals have 169 targets and 232 indicators based on the three pillars of sustainable development: economic, social, and environmental. However, substantial challenges remain in obtaining data of the required quality and quantity to populate these indicators efficiently. One promising and innovative way of addressing this issue is to use Earth observation (EO). The research reported here updates our original work to develop a Maturity Matrix Framework (MMF) for assessing the suitability of EO-derived data for populating the SDG indicators, with a special focus on those indicators covering the more social and economic dimensions of sustainable development, as these have been under-explored in terms of the contribution that can be made by EO. The advanced MMF 2.0 framework set out in this paper is based on a wide consultation with EO and indicator experts (semi-structured interviews with 38 respondents). This paper provides detail of the evolved structure of MMF 2.0 and illustrates its use for one of the SDG indicators (Indicator 11.1.1). The revised MMF is then applied to published work covering the full suite of SDG indicators and demonstrates that EO can make an important contribution to providing data relevant to a substantial number of the SDG indicators.

Suggested Citation

  • Ana Andries & Stephen Morse & Richard J. Murphy & Jim Lynch & Emma R. Woolliams, 2019. "Seeing Sustainability from Space: Using Earth Observation Data to Populate the UN Sustainable Development Goal Indicators," Sustainability, MDPI, vol. 11(18), pages 1-20, September.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:18:p:5062-:d:267736
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    References listed on IDEAS

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    3. Doll, Christopher N.H. & Pachauri, Shonali, 2010. "Estimating rural populations without access to electricity in developing countries through night-time light satellite imagery," Energy Policy, Elsevier, vol. 38(10), pages 5661-5670, October.
    4. Simon Bell & Stephen Morse, 2018. "Sustainability Indicators Past and Present: What Next?," Sustainability, MDPI, vol. 10(5), pages 1-15, May.
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    Cited by:

    1. Chloe Brown & Anna Daniels & Doreen S. Boyd & Andrew Sowter & Giles Foody & Siddharth Kara, 2020. "Investigating the Potential of Radar Interferometry for Monitoring Rural Artisanal Cobalt Mines in the Democratic Republic of the Congo," Sustainability, MDPI, vol. 12(23), pages 1-20, November.
    2. Penglong Wang & Yanyan Ma & Xueyan Zhao & Bao Wang & Jianghao Wang & Feng Gao, 2020. "Regional Differences and Influential Factors of Open Public Space in Chinese Cities Based on Big Earth Data," Sustainability, MDPI, vol. 12(6), pages 1-16, March.
    3. Małgorzata Gawlik-Kobylińska, 2021. "Can Security and Safety Education Support Sustainability? Lessons Learned from Poland," Sustainability, MDPI, vol. 13(4), pages 1-13, February.
    4. Ana Andries & Stephen Morse & Richard J. Murphy & Jim Lynch & Bernardo Mota & Emma R. Woolliams, 2021. "Can Current Earth Observation Technologies Provide Useful Information on Soil Organic Carbon Stocks for Environmental Land Management Policy?," Sustainability, MDPI, vol. 13(21), pages 1-28, November.

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