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

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. Ho...

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Bibliographic Details
Published in:Sustainability 2019-09, Vol.11 (18), p.5062
Main Authors: Andries, Ana, Morse, Stephen, Murphy, Richard, Lynch, Jim, Woolliams, Emma
Format: Article
Language:English
Subjects:
Big Data
Collaboration
Earth observations (from space)
Experts
Indicators
Polls & surveys
Satellites
Sustainability
Sustainable development
Working groups
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Summary: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.
ISSN:2071-1050
2071-1050
DOI:10.3390/su11185062