Big Earth Data science: an information framework for a sustainable planet
The digital transformation of our society coupled with the increasing exploitation of natural resources makes sustainability challenges more complex and dynamic than ever before. These changes will unlikely stop or even decelerate in the near future. There is an urgent need for a new scientific appr...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2020-07-01
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| Series: | International Journal of Digital Earth |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/17538947.2020.1743785 |
| _version_ | 1797678564451024896 |
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| author | Huadong Guo Stefano Nativi Dong Liang Max Craglia Lizhe Wang Sven Schade Christina Corban Guojin He Martino Pesaresi Jianhui Li Zeeshan Shirazi Jie Liu Alessandro Annoni |
| author_facet | Huadong Guo Stefano Nativi Dong Liang Max Craglia Lizhe Wang Sven Schade Christina Corban Guojin He Martino Pesaresi Jianhui Li Zeeshan Shirazi Jie Liu Alessandro Annoni |
| author_sort | Huadong Guo |
| collection | DOAJ |
| description | The digital transformation of our society coupled with the increasing exploitation of natural resources makes sustainability challenges more complex and dynamic than ever before. These changes will unlikely stop or even decelerate in the near future. There is an urgent need for a new scientific approach and an advanced form of evidence-based decision-making towards the benefit of society, the economy, and the environment. To understand the impacts and interrelationships between humans as a society and natural Earth system processes, we propose a new engineering discipline, Big Earth Data science. This science is called to provide the methodologies and tools to generate knowledge from diverse, numerous, and complex data sources necessary to ensure a sustainable human society essential for the preservation of planet Earth. Big Earth Data science aims at utilizing data from Earth observation and social sensing and develop theories for understanding the mechanisms of how such a social-physical system operates and evolves. The manuscript introduces the universe of discourse characterizing this new science, its foundational paradigms and methodologies, and a possible technological framework to be implemented by applying an ecosystem approach. CASEarth and GEOSS are presented as examples of international implementation attempts. Conclusions discuss important challenges and collaboration opportunities. |
| first_indexed | 2024-03-11T23:01:41Z |
| format | Article |
| id | doaj.art-89b67f43431a4a36bb0766c8ce5429c1 |
| institution | Directory Open Access Journal |
| issn | 1753-8947 1753-8955 |
| language | English |
| last_indexed | 2024-03-11T23:01:41Z |
| publishDate | 2020-07-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | International Journal of Digital Earth |
| spelling | doaj.art-89b67f43431a4a36bb0766c8ce5429c12023-09-21T14:57:09ZengTaylor & Francis GroupInternational Journal of Digital Earth1753-89471753-89552020-07-0113774376710.1080/17538947.2020.17437851743785Big Earth Data science: an information framework for a sustainable planetHuadong Guo0Stefano Nativi1Dong Liang2Max Craglia3Lizhe Wang4Sven Schade5Christina Corban6Guojin He7Martino Pesaresi8Jianhui Li9Zeeshan Shirazi10Jie Liu11Alessandro Annoni12Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of SciencesJoint Research Centre, European CommissionKey Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of SciencesJoint Research Centre, European CommissionSchool of Computer Science, China University of GeosciencesJoint Research Centre, European CommissionJoint Research Centre, European CommissionKey Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of SciencesJoint Research Centre, European CommissionComputer Network Information Center, Chinese Academy of SciencesKey Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of SciencesKey Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of SciencesJoint Research Centre, European CommissionThe digital transformation of our society coupled with the increasing exploitation of natural resources makes sustainability challenges more complex and dynamic than ever before. These changes will unlikely stop or even decelerate in the near future. There is an urgent need for a new scientific approach and an advanced form of evidence-based decision-making towards the benefit of society, the economy, and the environment. To understand the impacts and interrelationships between humans as a society and natural Earth system processes, we propose a new engineering discipline, Big Earth Data science. This science is called to provide the methodologies and tools to generate knowledge from diverse, numerous, and complex data sources necessary to ensure a sustainable human society essential for the preservation of planet Earth. Big Earth Data science aims at utilizing data from Earth observation and social sensing and develop theories for understanding the mechanisms of how such a social-physical system operates and evolves. The manuscript introduces the universe of discourse characterizing this new science, its foundational paradigms and methodologies, and a possible technological framework to be implemented by applying an ecosystem approach. CASEarth and GEOSS are presented as examples of international implementation attempts. Conclusions discuss important challenges and collaboration opportunities.http://dx.doi.org/10.1080/17538947.2020.1743785big earth datadata sciencesustainable development goalsdigital transformationdigital earthcasearthgeoss |
| spellingShingle | Huadong Guo Stefano Nativi Dong Liang Max Craglia Lizhe Wang Sven Schade Christina Corban Guojin He Martino Pesaresi Jianhui Li Zeeshan Shirazi Jie Liu Alessandro Annoni Big Earth Data science: an information framework for a sustainable planet International Journal of Digital Earth big earth data data science sustainable development goals digital transformation digital earth casearth geoss |
| title | Big Earth Data science: an information framework for a sustainable planet |
| title_full | Big Earth Data science: an information framework for a sustainable planet |
| title_fullStr | Big Earth Data science: an information framework for a sustainable planet |
| title_full_unstemmed | Big Earth Data science: an information framework for a sustainable planet |
| title_short | Big Earth Data science: an information framework for a sustainable planet |
| title_sort | big earth data science an information framework for a sustainable planet |
| topic | big earth data data science sustainable development goals digital transformation digital earth casearth geoss |
| url | http://dx.doi.org/10.1080/17538947.2020.1743785 |
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