Ana Andries


Postgraduate Research Student

Academic and research departments

Centre for Environment and Sustainability.

My research project

My publications

Publications

Andries Ana, Morse Stephen, Lynch James, Woolliams E, Fonweban J, Murphy Richard (2018) Translation of Remote Sensing data into Sustainable Development
Indicators,
Proceedings of ISDRS24 ISDR
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 which are based on the three
pillars of sustainable development: economic, social and environmental. Substantial challenges remain in obtaining data of
the required quality, especially in developing countries, given the limited resources involved. One promising and innovative
way of addressing this issue of data availability is to use Earth Observation (EO). This paper presents the results of research
to analyse and optimise the potential of EO approaches to populate the SDG indicators and targets. We present a matrix of
EO technologies with respect to the full set of current SDG indicators which shows the potential for direct or proxy
calibrations across the span of the social, economic and environmental SDG indicators. We have focussed particularly on
those SDG indicators covering the social and economic dimensions of sustainable development as these are relatively
unexplored from an EO context. Results suggest that EO can make an important contribution towards populating the SDG
indicators, but there is a spectrum from at one end the sole use of EO to the other end where the EO derived data have to be
used in concert with data collected via non-EO means (surveys etc.). Complicating factors also include the lack of driving
force and pressure indicators in the SDG framework and the use of ?proxy? indicators not part of the SDG framework but
more amenable to EO-derived assessment. The next phase of the research will involve the presenting of these ideas to
experts in the EO and indicator arenas for their assessment.
Andries Ana, Morse Stephen, Murphy Richard, Lynch James, Woolliams Emma, Fonweban John (2019) Translation of Earth Observation data into Sustainable Development Indicators: an analytical framework., Sustainable Development 27 (3) pp. 366-376 Wiley
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 which are based on the three pillars of sustainable development: economic, social and environmental. Substantial challenges remain in obtaining data of the required quality, especially in developing countries, given the often limited resources available. One promising and innovative way of addressing this issue of data availability is to use Earth Observation (EO). This paper presents the results of research to develop a novel analytical framework for assessing the potential of EO approaches to populate the SDG indicators. We present a Maturity Matrix Framework (MMF) and apply it to all of the 232 SDG indicators. The results demonstrate that while the applicability of EO-derived data does vary between the SDG indicators, overall, EO has an important contribution to make towards populating a wide diversity of the SDG indicators.
Andries Ana, Morse Stephen, Murphy Richard J., Lynch Jim, Woolliams Emma R. (2019) Seeing Sustainability from Space: Using Earth Observation Data to Populate the UN Sustainable Development Goal Indicators, Sustainability 11 (18) MDPI
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.