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Author: Huadong Guo
Publisher:
ISBN: 9787030638083
Category : Environmental policy
Languages : en
Pages : 178
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Book Description
Author: Huadong Guo
Publisher:
ISBN: 9787030638083
Category : Environmental policy
Languages : en
Pages : 178
Get Book Here
Book Description
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.
Author: Huadong Guo
Publisher: Springer Nature
ISBN: 9819742315
Category :
Languages : en
Pages : 314
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Book Description
Author: Huadong Guo
Publisher:
ISBN: 9787030675262
Category : Environmental policy
Languages : en
Pages : 384
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Book Description
Author: Huadong GUO
Publisher: EDP Sciences
ISBN: 2759829375
Category : Science
Languages : en
Pages : 391
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Book Description
Big Earth Data in Support of the Sustainable Development Goals (2021): The Belt and Road showcases the innovative practice of applying Big Earth Data to the monitoring and evaluating indicators for six SDGs, ie, SDG 2 Zero Hunger, SDG 6 Clean Water and Sanitation, SDG 11 Sustainable Cities and Communities, SDG 13 Climate Action, SDG14 Life below Water, SDG 15 Life on Land, and the analysis of the interactions among multiple SDG indicators. It presents 42 case studies on 22 targets relevant to countries and regions involved in the Belt and Road Initiative. The report showcases the results of research, monitoring, and evaluation of SDGs and their indicators at four scales--local, national, regional, and global--totalling 37 data products, 19 methods and models, and 32 decision-support recommendations. These research results demonstrate China's exploration and practice in promoting the implementation of the UN 2030 Agenda for Sustainable Development through scientific and technological innovation, fully reveal the application value and broad prospects of Earth's big data technology in monitoring and evaluating the sustainable development goals, and open up new ways and methods to support the implementation of the UN 2030 Agenda for Sustainable Development through the use of advanced technologies and methods such as big data and artificial intelligence under the framework of the UN technology promotion mechanism. It can provide reference for countries to strengthen the implementation monitoring and evaluation of the agenda. This report can be read by researchers in related fields and decision makers in relevant national departments..
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.
Author: Huadong GUO
Publisher: EDP Sciences
ISBN: 2759829359
Category : Science
Languages : en
Pages : 423
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Book Description
Big Earth Data in Support of the Sustainable Development Goals (2021): China showcases the innovative practice of applying Big Earth Data to the monitoring and evaluating indicators for six SDGs, i.e., SDG 2 Zero Hunger, SDG 6 Clean Water and Sanitation, SDG 11 Sustainable Cities and Communities, SDG 13 Climate Action, SDG14 Life below Water, SDG 15 Life on Land, and the analysis of the interactions among multiple SDG indicators. It presents 52 case studies on 27 targets. The report showcases the results of research, monitoring, and evaluation of SDGs and their indicators at two scales-local, national-totalling 36 data products, 25 methods and models, and 41 decision-support recommendations. These research results demonstrate China's exploration and practice in promoting the implementation of the UN 2030 Agenda for Sustainable Development through scientific and technological innovation, fully reveal the application value and broad prospects of Earth's big data technology in monitoring and evaluating the sustainable development goals, and open up new ways and methods to support the implementation of the UN 2030 Agenda for Sustainable Development through the use of advanced technologies and methods such as big data and artificial intelligence under the framework of the UN technology promotion mechanism. It can provide reference for countries to strengthen the implementation monitoring and evaluation of the agenda. This report can be read by researchers in related fields and decision makers in relevant national departments.
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.
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.
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.
