University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Translation of Remote Sensing data into Sustainable Development Indicators

Andries, Ana, Morse, Stephen, Lynch, James, Woolliams, E, Fonweban, J and Murphy, Richard (2018) Translation of Remote Sensing data into Sustainable Development Indicators In: 24th International Sustainable Development Research Society Conference: "Actions for a Sustainable World: From Theory to Practice", 13 - 15 June 2018, Messina, Italy.

[img]
Preview
Text
Andries et al 2018 ISDRS24 Conference%2c Messina%2c Italy June 2018.pdf - Accepted version Manuscript

Download (1MB) | Preview
[img]
Preview
Text
Andries et al 2018 ISDRS24 Conference Messina Italy June 2018 (003).pdf - Accepted version Manuscript

Download (1MB) | Preview

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 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.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Centre for Environmental Strategy
Authors :
NameEmailORCID
Andries, Anaa.andries@surrey.ac.uk
Morse, StephenS.Morse@surrey.ac.uk
Lynch, JamesJ.Lynch@surrey.ac.uk
Woolliams, E
Fonweban, J
Murphy, Richardrj.murphy@surrey.ac.uk
Date : June 2018
Copyright Disclaimer : Copyright 2018 The Authors
Uncontrolled Keywords : Earth Observation (EO), indicators, DPSIR Framework, Sustainable Development Goal (SDG)
Related URLs :
Depositing User : Melanie Hughes
Date Deposited : 20 Jun 2018 12:50
Last Modified : 24 May 2019 09:47
URI: http://epubs.surrey.ac.uk/id/eprint/847092

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800