Big Earth Data in Support of the Sustainable Development Goals (2023) – China
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 (S...
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| Materyal Türü: | Online |
| Dil: | İngilizce |
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Springer Nature
2025
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| Online Erişim: | ONIX_20251218T100927_9789819526369_27 |
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| _version_ | 1869531364892606464 |
|---|---|
| author | Guo, Huadong |
| author_browse | Guo, Huadong |
| author_facet | Guo, Huadong |
| author_sort | Guo, Huadong |
| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-170476 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Springer Nature |
| publisherStr | Springer Nature |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1704762025-12-22T05:28:38Z Big Earth Data in Support of the Sustainable Development Goals (2023) – China Guo, Huadong Open Access Big data Earth observation Decision support Zero hunger Clean water Sustainable cities Climate action Life below water Life on land Clean Energy SDG 2 SDG 6 SDG 7 SDG 11 SDG 13 SDG 14 SDG 15 thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RN The environment::RNU Sustainability thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography::RGW Geographical information systems, geodata and remote sensing thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RN The environment thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences 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. 2025-12-22T05:28:37Z 2025-12-22T05:28:37Z 2025-12-18T09:14:34Z 2025 book ONIX_20251218T100927_9789819526369_27 https://library.oapen.org/handle/20.500.12657/109293 9789819526369 9789819526352 https://directory.doabooks.org/handle/20.500.12854/170476 eng Sustainable Development Goals Series; Earth and Environmental Science; Earth and Environmental Science (R0) open access image/jpeg n/a https://library.oapen.org/bitstream/20.500.12657/109293/1/9789819526369.pdf Springer Nature Springer 10.1007/978-981-95-2636-9 10.1007/978-981-95-2636-9 9fa3421d-f917-4153-b9ab-fc337c396b5a 64eae9a5-bba2-4c87-a1a5-c01484898de7 a49ef1ef-0b76-403e-84e5-b7593ccb7365 9789819526369 9789819526352 Springer 214 Singapore [...] University of Chinese Academy of Sciences Graduate University of Chinese Academy of Sciences 10.13039/501100011332 open access |
| spellingShingle | Open Access Big data Earth observation Decision support Zero hunger Clean water Sustainable cities Climate action Life below water Life on land Clean Energy SDG 2 SDG 6 SDG 7 SDG 11 SDG 13 SDG 14 SDG 15 thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RN The environment::RNU Sustainability thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography::RGW Geographical information systems, geodata and remote sensing thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RN The environment thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences Guo, Huadong Big Earth Data in Support of the Sustainable Development Goals (2023) – China |
| title | Big Earth Data in Support of the Sustainable Development Goals (2023) – China |
| title_full | Big Earth Data in Support of the Sustainable Development Goals (2023) – China |
| title_fullStr | Big Earth Data in Support of the Sustainable Development Goals (2023) – China |
| title_full_unstemmed | Big Earth Data in Support of the Sustainable Development Goals (2023) – China |
| title_short | Big Earth Data in Support of the Sustainable Development Goals (2023) – China |
| title_sort | big earth data in support of the sustainable development goals 2023 china |
| topic | Open Access Big data Earth observation Decision support Zero hunger Clean water Sustainable cities Climate action Life below water Life on land Clean Energy SDG 2 SDG 6 SDG 7 SDG 11 SDG 13 SDG 14 SDG 15 thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RN The environment::RNU Sustainability thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography::RGW Geographical information systems, geodata and remote sensing thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RN The environment thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences |
| topic_facet | Open Access Big data Earth observation Decision support Zero hunger Clean water Sustainable cities Climate action Life below water Life on land Clean Energy SDG 2 SDG 6 SDG 7 SDG 11 SDG 13 SDG 14 SDG 15 thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RN The environment::RNU Sustainability thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography::RGW Geographical information systems, geodata and remote sensing thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RN The environment thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences |
| url | ONIX_20251218T100927_9789819526369_27 |
| work_keys_str_mv | AT guohuadong bigearthdatainsupportofthesustainabledevelopmentgoals2023china |