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Big Earth Data in Support of the Sustainable Development Goals (2023) - China
Details
This open-access book presents innovative applications of Big Earth Data through a set of comprehensive case studies conducted in China. The studies demonstrate how advanced data methods can be employed to monitor and evaluate indicators for seven Sustainable Development Goals (SDGs): zero hunger (SDG 2), clean water and sanitation (SDG 6), affordable and clean energy (SDG 7), sustainable cities and communities (SDG 11), climate action (SDG 13), life below water (SDG 14), and life on land (SDG 15). In addition, the book explores the complex interactions among multiple SDG indicators.
The emphasis on Big Earth Data is particularly timely in view of pressing global challenges. Issues such as disaster risk reduction, climate change, food security, resource management, and environmental protection are inherently interconnected through Earth systems and processes that transcend political and social boundaries. Within this context, the case studies highlight methodological advances in spatial information mining and integrated SDG evaluation, including analyzing synergies and trade-offs among SDGs through correlation studies, simulating interactions of multiple indicators under projected environmental, economic, and social scenarios, and developing integrated frameworks for regional SDG assessment. Taken together, these findings illustrate the potential of Big Earth Data to provide robust scientific evidence in support of policy formulation and decision-making at global, regional, and local levels.
This book is open access, which means that you have free and unlimited access Demonstrates China's exploration and practice in promoting the implementation of the UN 2030 Agenda for sustainability Reveals value & broad prospects of big data technology in supporting, monitoring & evaluating of SDGs by innovative way Provides reference for global countries to strengthen the implementation monitoring and evaluation of the agenda
Autorentext
Guo Huadong is Director General of the International Research Center of Big Data for Sustainable Development Goals (CBAS) and Professor of Chinese Academy of Sciences (CAS) Aerospace Information Research Institute. He is Academician of CAS, Foreign Member of the Russian Academy of Sciences, Foreign Member of the Finnish Society of Sciences and Letters, Fellow of the World Academy of Sciences (TWAS), and Fellow of the International Science Council (ISC). He presently serves as Honorary President of the International Society for Digital Earth (ISDE), Director of the International Center on Space Technologies for Natural and Cultural Heritage under the Auspices of UNESCO, Member of the ISC Global Commission on Science Missions for Sustainability, Chair of Digital Belt and Road Program (DBAR), and Editor-in-Chief of two scientific journals International Journal of Digital Earth and Big Earth Data . He served as Member of UN 10-Member Group to support the Technology Facilitation Mechanism for SDGs (2018-2021), Chairman of the International Committee of Remote Sensing of Environment (2017-2020), and President of ISDE (2015-2019) and ICSU Committee on Data for Science and Technology (2010-2014). Prof. Guo specializes in remote sensing, radar for Earth observation, and Digital Earth science. He has published more than 500 papers and 24 books and is the awardee of 23 international and domestic prizes.
Inhalt
Introduction.- SDG 2 Zero Hunger.- SDG 6 Clean Water and Sanitation.- SDG 7 Affordable and Clean Energy.- SDG11 Sustainable Cities and Communities.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09789819526352
- Lesemotiv Verstehen
- Genre Earth Science
- Anzahl Seiten 214
- Herausgeber Springer
- Gewicht 631g
- Größe H14mm x B178mm x T254mm
- Jahr 2025
- EAN 9789819526352
- Format Fester Einband
- ISBN 978-981-9526-35-2
- Veröffentlichung 11.11.2025
- Titel Big Earth Data in Support of the Sustainable Development Goals (2023) - China
- Autor Huadong Guo
- Untertitel Sustainable Development Goals Series
- Sprache Englisch