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This open-access book presents innovative applications of Big Earth Data through a set of comprehensive case studies conducted globally and in countries and regions along the Belt and Road. 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…mehr

Produktbeschreibung
This open-access book presents innovative applications of Big Earth Data through a set of comprehensive case studies conducted globally and in countries and regions along the Belt and Road. 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 thiscontext, 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.
Autorenporträt
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.