scholarly journals Translation of Earth observation data into sustainable development indicators: An analytical framework

2018 ◽  
Vol 27 (3) ◽  
pp. 366-376 ◽  
Author(s):  
Ana Andries ◽  
Stephen Morse ◽  
Richard Murphy ◽  
Jim Lynch ◽  
Emma Woolliams ◽  
...  
Keyword(s):  
Sustainable Development ◽  
Analytical Framework ◽  
Earth Observation ◽  
Observation Data ◽  
Development Indicators ◽  
Sustainable Development Indicators ◽  
Earth Observation Data

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

2019 ◽  
Vol 11 (18) ◽  
pp. 5062 ◽  
Author(s):  
Ana Andries ◽  
Stephen Morse ◽  
Richard Murphy ◽  
Jim Lynch ◽  
Emma Woolliams
Keyword(s):  
New York ◽  
Sustainable Development ◽  
Earth Observation ◽  
Development Economic ◽  
Special Focus ◽  
Observation Data ◽  
Structured Interviews ◽  
The Sustainable Development ◽  
Development Goals ◽  
Earth Observation Data

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.

scholarly journals Earth Observation for Sustainable Infrastructure: A Review

2021 ◽  
Vol 13 (8) ◽  
pp. 1528
Author(s):  
Yongze Song ◽  
Peng Wu
Keyword(s):  
Sustainable Development ◽  
Large Scale ◽  
Earth Observation ◽  
Future Research ◽  
Observation Data ◽  
Infrastructure Development ◽  
Sustainable Infrastructure ◽  
Development Goals ◽  
Future Research Directions ◽  
Earth Observation Data

Infrastructure is a fundamental sector for sustainable development and Earth observation has great potentials for sustainable infrastructure development (SID). However, implementations of the timely, large–scale and multi–source Earth observation are still limited in satisfying the huge global requirements of SID. This study presents a systematical literature review to identify trends of Earth observation for sustainable infrastructure (EOSI), investigate the relationship between EOSI and Sustainable Development Goals (SDGs), and explore challenges and future directions of EOSI. Results reveal the close associations of infrastructure, urban development, ecosystems, climate, Earth observation and GIS in EOSI, and indicate their relationships. In addition, from the perspective of EOSI–SDGs relationship, the huge potentials of EOSI are demonstrated from the 70% of the infrastructure influenced targets that can be directly or indirectly derived from Earth observation data, but have not been included in current SDG indicators. Finally, typical EOSI cases are presented to indicate challenges and future research directions. This review emphasizes the contributions and potentials of Earth observation to SID and EOSI is a powerful pathway to deliver on SDGs.

scholarly journals Monitoring sustainable development by means of earth observation data and machine learning: a review

2020 ◽  
Vol 32 (1) ◽  
Author(s):  
Bruno Ferreira ◽  
Muriel Iten ◽  
Rui G. Silva
Keyword(s):  
Machine Learning ◽  
Sustainable Development ◽  
Sustainable Development Goals ◽  
Earth Observation ◽  
Machine Learning Techniques ◽  
Observation Data ◽  
The Sustainable Development ◽  
Learning Techniques ◽  
Development Goals ◽  
Earth Observation Data

Abstract This paper presents and explores the different Earth Observation approaches and their contribution to the achievement of United Nations Sustainable Development Goals. A review on the Sustainable Development concept and its goals is presented followed by Earth Observation approaches relevant to this field, giving special attention to the contribution of Machine Learning methods and algorithms as well as their potential and capabilities to support the achievement of Sustainable Development Goals. Overall, it is observed that Earth Observation plays a key role in monitoring the Sustainable Development Goals given its cost-effectiveness pertaining to data acquisition on all scales and information richness. Despite the success of Machine Learning upon Earth Observation data analysis, it is observed that performance is heavily dependent on the ability to extract and synthesise characteristics from data. Hence, a deeper and effective analysis of the available data is required to identify the strongest features and, hence, the key factors pertaining to Sustainable Development. Overall, this research provides a deeper understanding on the relation between Sustainable Development, Earth Observation and Machine Learning, and how these can support the Sustainable Development of countries and the means to find their correlations. In pursuing the Sustainable Development Goals, given the relevance and growing amount of data generated through Earth Observation, it is concluded that there is an increased need for new methods and techniques strongly suggesting the use of new Machine Learning techniques.

scholarly journals EARTH OBSERVATION TO SUBSTANTIATE THE SUSTAINABLE DEVELOPMENT GOAL 11: PRACTICAL CONSIDERATIONS AND EXPERIENCES FROM AUSTRIA

2020 ◽  
Vol XLIII-B4-2020 ◽  
pp. 769-774
Author(s):  
T. Blaschke ◽  
A. Kovács-Győri
Keyword(s):  
Sustainable Development ◽  
Open Space ◽  
Earth Observation ◽  
Spatial Accessibility ◽  
Observation Data ◽  
Persons With Disabilities ◽  
The Sustainable Development ◽  
Urban Green Spaces ◽  
Average Share ◽  
Earth Observation Data

Abstract. The 2030 Agenda for Sustainable Development is widely appreciated and increasingly known by a wider public. However, less obvious are the enormous coordination and harmonization efforts to reify these goals into 169 targets and 232 indicators. We exemplarily outline a tangible pathway to address SDG11 and one associated indicator 11.7.1 “Average share of the built-up area of cities that is open space for public use for all, by sex, age and persons with disabilities”. We highlight some specific problems for reporting on indicators related to urban green spaces (UGS) and make suggestions for this indicator by illustrating the potential of Earth Observation data and spatial accessibility analysis.

Challenges of the Crisis: How to Measure Sustainable Development?

2015 ◽  
pp. 147-160 ◽  
Author(s):  
S. Bobylev ◽  
N. Zubarevich ◽  
S. Solovyeva
Keyword(s):  
Sustainable Development ◽  
World Bank ◽  
Environmental Indicators ◽  
Calculation Methods ◽  
Basic Principles ◽  
The Sustainable Development ◽  
Development Index ◽  
Development Indicators ◽  
Sustainable Development Indicators ◽  
Adjusted Net Savings

The article emphasizes the fact that traditional socio-economic indicators do not reflect the challenges of sustainable development adequately, and this is particularly true for the widely-used GDP indicator. In this connection the elaboration of sustainable development indicators is needed, taking into account economic, social and environmental factors. For Russia, adaptation and use of concepts and basic principles of calculation methods for adjusted net savings index (World Bank) and human development index (UNDP) as integral indicators can be promising. The authors have developed the sustainable development index for Russia, which aggregates and allows taking into account balanced economic, social and environmental indicators.

Sustainable Development Through Innovation In Service Sector

2014 ◽  
Vol 1 (1) ◽  
pp. 175-178
Author(s):  
Ilie Banu ◽  
Ioana Madalina Butiuc
Keyword(s):  
Sustainable Development ◽  
Tax Evasion ◽  
Service Sector ◽  
Service Innovation ◽  
Slow Recovery ◽  
Quality Research ◽  
Development Indicators ◽  
Economic Cycles ◽  
Sustainable Development Indicators ◽  
Research And Innovation

AbstractRegarding the economic crises and the slow recovery that still continues, we believe that a solution can be improving the capacity to research and innovate in order to achieve sustainable development. Another key issue of the paper is about developing the cooperation between academia and business. The challenge of this development is how to increase the amount to finance research and innovation that can be implemented in the economy. As a global solution, to this problem we can recommend, for example, reducing tax evasion and by fiscal education. Also particular sources have to be found in order to develop innovation on SME level. It is essential for innovation to make quality research in order to be better prepared and increase adaptability to economic cycles. The aim of the paper is to find out how service innovation and cooperation between academia and business can enhance sustainable development indicators. The conclusions of the paper are structured in particular proposals and recommendations.

Our goal is to establish the earth observation data in the business world Unser Ziel ist es, die Erdbeobachtungsdaten in der Geschäftswelt zu etablieren

GIS Business ◽  
2019 ◽  
Vol 12 (3) ◽  
pp. 12-14
Author(s):  
Eicher, A
Keyword(s):  
Earth Observation ◽  
Observation Data ◽  
Business World ◽  
The Earth ◽  
Earth Observation Data

Our goal is to establish the earth observation data in the business world Unser Ziel ist es, die Erdbeobachtungsdaten in der Geschäftswelt zu etablieren

Insect vectors and their relationship with sustainable development indicators in neighborhoods of Natal, Northeastern Brazil

Gaia Scientia ◽  
2016 ◽  
Vol 10 (4) ◽  
pp. 182-194
Author(s):  
Paulo Sérgio Fagundes Araujo ◽  
Maria Cristiana da Silva Souto ◽  
Paulo Roberto Medeiros de Azevedo ◽  
Maria de Fatima Freire de Melo Ximenes
Keyword(s):  
Sustainable Development ◽  
Social Indicators ◽  
Northeastern Brazil ◽  
Insect Vectors ◽  
Sand Flies ◽  
High Positive Correlation ◽  
Breeding Sites ◽  
Development Indicators ◽  
Sustainable Development Indicators ◽  
Sustainability Index

This study aimed to correlate sustainable development indicators with the occurrence of mosquitoes from the genus Aedes and phlebotominae sand flies, vectors of dengue fever, American visceral leishmaniasis and American tegumentary leishmaniasis, in order to establish a relationship between infestation indices and sustainability conditions in southern and northern neighborhoods of Natal, Brazil, adjacent to environmental protection zones 5 and 9, respectively. Data were obtained on Aedes aegypti and A. albopictus breeding sites and captures of phlebotominae sand flies of the genus Lutzomyia in the study area between 2006 and 2008, from the Center of Zoonosis Control of the Municipal Health Secretariat, and correlated with environmental and social indicators. Factorial analysis was applied to transform these indicators into a sustainability index for each neighborhood studied (Neighborhood Sustainability Index – NSI). Relating these indices with the occurrence of insect vectors at these sites shows a high positive correlation between SID and the Breteau index of A. aegypti (p=0.028) and with the index of household infestation by phlebotominae sand flies (p=0.01). This reveals a pattern allowing the association of sustainability conditions in the study areas with the occurrence of these insects. Analyses demonstrate the occurrence of a larger number of A. aegypti breeding sites and higher indices of household infestation by phlebotominae sand flies in neighborhoods with lower sustainability indices. Knowledge of the relationship between sustainable development indicators and the occurrence of zoonotic vectors may contribute to public health programs as well as to a restructuring of public policies in the study areas.

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