Towards delivering on the sustainable development goals using earth observations

Argyro Kavvada,Graciela Metternicht,Flora Kerblat,Naledzani Mudau, Marie Haldorson, Sharthi Laldaparsad, Lawrence Friedl,Alex Held,Emilio Chuvieco

Remote Sensing of Environment(2020)

引用 82|浏览24
暂无评分
摘要
With less than a decade left to attain the Sustainable Development Goals (SDGs), this communication aims to improve understanding of the enabling environment that is essential for Earth observations (EO) to be fully adopted within the institutional settings that drive the implementation of the SDGs and the Global Indicator Framework, an effective review mechanism for tracking progress at global to national and local levels. This paper also serves as an introduction to the Remote Sensing of Environment's Special Issue (SI) on Earth Observation for the Sustainable Development Goals. The seventeen contributions published in this SI showcase the application of EO data, methods, and tools to support countries in target setting for the SDGs, including baseline determination, as well as tracking of progress on SDG implementation and informing sustainable development planning and decision making. The majority of published articles focus on Goals 6 (Clean Water and Sanitation), 14 (Life below Water) and 15 (Life on Land). We also present our own analysis of existing EO systems available to generate data for SDG indicators addressed via the SI contributions, including main resolution characteristics, and assess factors that hinder the full integration of EO solutions for the SDGs within country processes, institutions of government, and policies. We conclude that an urgent need exists for the EO community to work more closely with local and regional governments and other relevant stakeholders to promote the operationalization of EO solutions for implementing the 2030 Agenda at global to local levels. Our review also illustrates the need for transitioning towards new EO for SDG frameworks that are focused on the knowledge element of the data-information-knowledge-wisdom paradigm, rather than the data and information aspects.
更多
查看译文
关键词
Sustainable development,Sustainable development goals,Earth observations,Geospatial information,Satellite data,Remote sensing,Statistics
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要