Big Earth Data in Support of the Sustainable Development Goals (2022)—The Belt and Road

Big Earth Data in Support of the Sustainable Development Goals (2022)—The Belt and Road PDF Author: Huadong Guo
Publisher: Springer
ISBN: 9789819732777
Category : Science
Languages : en
Pages : 0

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Book Description
This open access book showcases the innovative practices of Big Earth Data methods through a collection of global comprehensive case studies to monitor and evaluate indicators for seven SDGs, i.e., 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), life on land (SDG 15), and to analyzes the interactions among multiple SDGs indicators. The emphasis on Big Earth Data is highly relevant within the context of growing global challenges. Disaster risk mitigation, climate change, global food security, resource management, and environmental challenges all are interlinked through earth systems and processes that are independent of human constructs. Therefore these case studies highlight methods and practices of spatial information mining and integrated SDG evaluation, which include evaluating the synergy and trade-off relationships among the SDGs in the context of their correlations; simulating multiple indicators’ interactions in environmental, economic, and social scenarios in the context of their temporal variations; designing integrated evaluations of regional SDGs in the context of experience with the study of multiple indicators. Big Earth Data therefore has the potential to support informed policy and decision support at global, regional, and local scales.

Big Earth Data in Support of the Sustainable Development Goals (2022)—The Belt and Road

Big Earth Data in Support of the Sustainable Development Goals (2022)—The Belt and Road PDF Author: Huadong Guo
Publisher: Springer
ISBN: 9789819732777
Category : Science
Languages : en
Pages : 0

Get Book Here

Book Description
This open access book showcases the innovative practices of Big Earth Data methods through a collection of global comprehensive case studies to monitor and evaluate indicators for seven SDGs, i.e., 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), life on land (SDG 15), and to analyzes the interactions among multiple SDGs indicators. The emphasis on Big Earth Data is highly relevant within the context of growing global challenges. Disaster risk mitigation, climate change, global food security, resource management, and environmental challenges all are interlinked through earth systems and processes that are independent of human constructs. Therefore these case studies highlight methods and practices of spatial information mining and integrated SDG evaluation, which include evaluating the synergy and trade-off relationships among the SDGs in the context of their correlations; simulating multiple indicators’ interactions in environmental, economic, and social scenarios in the context of their temporal variations; designing integrated evaluations of regional SDGs in the context of experience with the study of multiple indicators. Big Earth Data therefore has the potential to support informed policy and decision support at global, regional, and local scales.

Big Earth Data in Support of the Sustainable Development Goals (2022) - China

Big Earth Data in Support of the Sustainable Development Goals (2022) - China PDF Author: Huadong Guo
Publisher: Springer
ISBN: 9789819742301
Category : Science
Languages : en
Pages : 0

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Book Description
This open access book showcases the innovative practices of Big Earth Data methods through a collection of comprehensive case studies from China to monitor and evaluate indicators for seven SDGs, i.e., 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), life on land (SDG 15), and to analyze the interactions among multiple SDGs indicators. The emphasis on Big Earth Data is highly relevant within the context of growing global challenges. Disaster risk mitigation, climate change, global food security, resource management, and environmental challenges all are interlinked through earth systems and processes that are independent of human constructs. Therefore, these case studies highlight methods and practices of spatial information mining and integrated SDG evaluation, which include evaluating the synergy and trade-off relationships among the SDGs in the context of their correlations; simulating multiple indicators’ interactions in future environmental, economic and social scenarios in the context of their temporal variations; designing integrated evaluations of regional SDGs in the context of experience with the study of multiple indicators. Big Earth Data therefore has the potential to support informed policy and decision support at global, regional, and local scales.

Big Earth Data in Support of the Sustainable Development Goals (2020)

Big Earth Data in Support of the Sustainable Development Goals (2020) PDF Author: Huadong GUO
Publisher: EDP Sciences
ISBN: 2759826449
Category : Science
Languages : en
Pages : 420

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Book Description
Big Earth Data in support of the Sustainable Development Goals (2020) : The Belt and Road presents 44 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 provides in-depth research and monitoring results of relevant SDG targets at national and local scales by means of data products, methods, and decision support, including 43 data products, 25 methodologies and 30 results that are of value to policy-making. These cases demonstrate China's exploration and practice of implementing the 2030 Agenda for Sustainable Development based on science, technology in monitoring and evaluating SDGs ; pioneer new ways to use advanced technologies such as big data and artificial intelligence to support the implementation of the 2030 Agenda for Sustainable Development under the framework of the UN Technology Facilitation Mechanism (TFM). This report also provide reference for another countries to strengthen the monitoring and evaluation of implementing the 2030 Agenda for Sustainable Development.

Big Earth Data in Support of the Sustainable Development Goals (2019)

Big Earth Data in Support of the Sustainable Development Goals (2019) PDF Author: Huadong GUO
Publisher: EDP Sciences
ISBN: 275982442X
Category : Science
Languages : en
Pages : 212

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Book Description
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.

Big Earth Data in Support of the Sustainable Development Goals (2022) - China

Big Earth Data in Support of the Sustainable Development Goals (2022) - China PDF Author: Huadong Guo
Publisher: Springer Nature
ISBN: 9819742315
Category :
Languages : en
Pages : 314

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Book Description


Big Earth Data in Support of the Sustainable Development Goals (2020)

Big Earth Data in Support of the Sustainable Development Goals (2020) PDF Author: Huadong GUO
Publisher: EDP Sciences
ISBN: 2759826465
Category : Science
Languages : en
Pages : 382

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Book Description
Big Earth Data in Support of the Sustainable Development Goals (2020) : China presents 42 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 research and monitoring results of relevant SDG targets at national and local scales by means of data products, methods and decision support, including 41 data products, 21 methodologies and 30 results that are of value to policy-making. These case demonstrate China's exploration and practice of implementing the 2030 Agenda for Sustainable Development based on science, technology and innovation ; fully reveal the great value and broad prospect of Big Earth Data technology in monitoring and evaluating SDGs ; pioneer new ways to use advanced technologies such as big data and artificial intelligence to support the implementation of the 2030 Agenda for Sustainable Development. Under the framework of the UN Technology Facilitation Mechanism (TFM). This report also provide reference for other countries to strengthen the monitoring and evalution of implementing the 2030 Agenda for Sustainable Development.

Big Earth Data in Support of the Sustainable Development Goals

Big Earth Data in Support of the Sustainable Development Goals PDF Author: Huadong Guo
Publisher:
ISBN: 9787030638083
Category : Environmental policy
Languages : en
Pages : 178

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Book Description


Big Earth Data in Support of the Sustainable Development Goals

Big Earth Data in Support of the Sustainable Development Goals PDF Author: Huadong Guo
Publisher:
ISBN: 9787030675262
Category : Environmental policy
Languages : en
Pages : 384

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Book Description


Green Consensus and High Quality Development

Green Consensus and High Quality Development PDF Author: CCICED.
Publisher: Springer Nature
ISBN: 9811647992
Category : Environmental management
Languages : en
Pages : 609

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Book Description
This open access book is based on the research outputs of China Council for International Cooperation on Environment and Development (CCICED) in 2020. It covers major topics of Chinese and international attention regarding green development, such as climate, biodiversity, ocean, BRI, urbanization, sustainable production and consumption, technology, finance, value chain, and so on. It also looks at the progress of China's environmental and development policies,and the impacts from CCICED. This is a highly informative and carefully presented book, providing insight for policy makers in environmental issues.

Engineering for Sustainable Development

Engineering for Sustainable Development PDF Author: International Centre for Engineering Education
Publisher: UNESCO Publishing
ISBN: 9231004379
Category : Political Science
Languages : en
Pages : 183

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Book Description
The report highlights the crucial role of engineering in achieving each of the 17 SDGs. It shows how equal opportunities for all is key to ensuring an inclusive and gender balanced profession that can better respond to the shortage of engineers for implementing the SDGs. It provides a snapshot of the engineering innovations that are shaping our world, especially emerging technologies such as big data and AI, which are crucial for addressing the pressing challenges facing humankind and the planet. It analyses the transformation of engineering education and capacity-building at the dawn of the Fourth Industrial Revolution that will enable engineers to tackle the challenges ahead. It highlights the global effort needed to address the specific regional disparities, while summarizing the trends of engineering across the different regions of the world.