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Mrs. Ana Andries
University of Surrey

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0 Conservation Biology
0 Earth Observation
0 Habitat Assessment
0 Qualitative Research
0 Sustainability

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Journal article
Published: 14 August 2021 in Sustainability
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The main aim of the new agricultural scheme, Environmental Land Management, in England is to reward landowners based on their provision of ‘public goods’ while achieving the goals of the 25 Year Environment Plan and commitment to net zero emission by 2050. Earth Observation (EO) satellites appear to offer an unprecedented opportunity in the process of monitoring, reporting, and verification (MRV) of this scheme. In this study, we worked with ecologists to determine the habitat–species relationships for five wildlife species in the Surrey Hills ‘Area of Outstanding Natural Beauty’ (AONB), and this information was used to examine the extent to which EO satellite imagery, particularly very high resolution (VHR) imagery, could be used for habitat assessment, via visual interpretation and automated methods. We show that EO satellite products at 10 m resolution and other geospatial datasets enabled the identification and location of broadly suitable habitat for these species and the use of VHR imagery (at 1–4 m spatial resolution) allowed valuable insights for remote assessment of habitat qualities and quantity. Hence, at a fine scale, we obtained additional habitats such as scrub, hedges, field margins, woodland and tree characteristics, and agricultural practices that offer an effective source of information for sustainable land management. The opportunities and limitations of this study are discussed, and we conclude that there is considerable scope for it to offer valuable information for land management decision-making and as support and evidence for MRV for incentive schemes.

ACS Style

Ana Andries; Richard J. Murphy; Stephen Morse; Jim Lynch. Earth Observation for Monitoring, Reporting, and Verification within Environmental Land Management Policy. Sustainability 2021, 13, 9105 .

AMA Style

Ana Andries, Richard J. Murphy, Stephen Morse, Jim Lynch. Earth Observation for Monitoring, Reporting, and Verification within Environmental Land Management Policy. Sustainability. 2021; 13 (16):9105.

Chicago/Turabian Style

Ana Andries; Richard J. Murphy; Stephen Morse; Jim Lynch. 2021. "Earth Observation for Monitoring, Reporting, and Verification within Environmental Land Management Policy." Sustainability 13, no. 16: 9105.

Journal article
Published: 16 September 2019 in Sustainability
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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.

ACS Style

Ana Andries; Stephen Morse; Richard Murphy; Jim Lynch; Emma Woolliams. Seeing Sustainability from Space: Using Earth Observation Data to Populate the UN Sustainable Development Goal Indicators. Sustainability 2019, 11, 5062 .

AMA Style

Ana Andries, Stephen Morse, Richard Murphy, Jim Lynch, Emma Woolliams. Seeing Sustainability from Space: Using Earth Observation Data to Populate the UN Sustainable Development Goal Indicators. Sustainability. 2019; 11 (18):5062.

Chicago/Turabian Style

Ana Andries; Stephen Morse; Richard Murphy; Jim Lynch; Emma Woolliams. 2019. "Seeing Sustainability from Space: Using Earth Observation Data to Populate the UN Sustainable Development Goal Indicators." Sustainability 11, no. 18: 5062.

Research article
Published: 29 August 2018 in Sustainable Development
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In 2015, member countries of the United Nations adopted the 17 Sustainable Development Goals at the Sustainable Development Summit in New York. These global goals have 169 targets and 232 indicators that 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 and apply it to all of the 232 SDG indicators. The results demonstrate that although the applicability of EO‐derived data do vary between the Sustainable Development Goal indicators, overall, EO has an important contribution to make towards populating a wide diversity of the Sustainable Development Goals indicators.

ACS Style

Ana Andries; Stephen Morse; Richard Murphy; Jim Lynch; Emma Woolliams; John Fonweban. Translation of Earth observation data into sustainable development indicators: An analytical framework. Sustainable Development 2018, 27, 366 -376.

AMA Style

Ana Andries, Stephen Morse, Richard Murphy, Jim Lynch, Emma Woolliams, John Fonweban. Translation of Earth observation data into sustainable development indicators: An analytical framework. Sustainable Development. 2018; 27 (3):366-376.

Chicago/Turabian Style

Ana Andries; Stephen Morse; Richard Murphy; Jim Lynch; Emma Woolliams; John Fonweban. 2018. "Translation of Earth observation data into sustainable development indicators: An analytical framework." Sustainable Development 27, no. 3: 366-376.