Big Earth Data in Support of the Sustainable Development Goals (2019) / / Huadong GUO.

• Superior document: Title is part of eBook package: De Gruyter EDP Sciences Contemporary eBook-Package 2016-2020
• VerfasserIn: GUO, Huadong,
• Place / Publishing House: Les Ulis : : EDP Sciences, , [2021]; ©2021
• Year of Publication: 2021
• Language: English
• Series: outside book serie
• Physical Description: 1 online resource (212 p.)
• Other title: Frontmatter --; Preface --; Foreword --; Executive Summary --; Map of Cases on Big Earth Data for the SDGs --; List of Cases on Big Earth Data for the SDGs --; Contents --; Chapter 1. Big earth Data for SDGs --; Chapter 2 SDG 2 Zero Hunger --; Chapter 3 Chapter SDG 6 Clean Water and Sanitation --; Chapter 4SDG 11 Sustainable Cities and Communities --; Chapter 5 SDG 13 Climate Action --; Chapter 6 SDG 14 Life below Water --; Chapter 7 SDG 15 Life on Land --; Chapter 8 Summary and Prospects --; References
• Format: Mode of access: Internet via World Wide Web.
• ISBN: 9782759824427; 9783110756401
• DOI: 10.1051/978-2-7598-2442-7
• Access: restricted access
• Hierarchical level: Monograph
• Statement of Responsibility: Huadong GUO.

Big Earth Data in Support of the Sustainable Development Goals 2019 presents 27 case studies of “Big Earth Data Science Engineering Program” (CASEarth) on the development of the Sustainable Development Goals (SDGs) indicators and sustainability assessments in six SDGs, including: SDG 2 (Zero Hunger), SDG 6 (Clean Water and Sanitation), SDG 11 (Sustainable Cities and Communities), SDG 13 (Climate Action), SDG 14 (Life below Water), and SDG 15 (Life on Land). These cases provide in-depth, systematic research and evaluation results on the selected SDGs and indicators by means of data, method models, and decision support at global, regional, national and local scales. The 27 case studies covered 20 indicators, with focus varying from constructing databases, building index systems, and evaluating indicator progress. Each case study first clearly lists the corresponding SDG targets and indicators it addresses, and then proceeds with the research methods, data, analysis results, and prospects for future research. It can be seen that Big Earth Data as a new scientific methodology has started demonstrating its great value and potential for applications in monitoring and evaluating SDGs for China and developing countries around the world. The report concludes with a summary of the major progress in Big Earth Data for SDGs and future research priorities.