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iEarth: an interdisciplinary framework in the era of big data and AI for sustainable development.
Gong, Peng; Guo, Huadong; Chen, Bin; Chen, Fang; He, Guojun; Liang, Dong; Liu, Zhonghui; Sun, Zhongchang; Wu, Jin; Xu, Zhenci; Yan, Dongmei; Zhang, Hongsheng.
Afiliação
  • Gong P; Department of Geography, The University of Hong Kong, China.
  • Guo H; Department of Earth Sciences, The University of Hong Kong, China.
  • Chen B; Internationl Research Center of Big Data for Sustainable Development Goals, China.
  • Chen F; Aerospace Information Research Institute, Chinese Academy of Sciences, China.
  • He G; Future Urbanity & Sustainable Environment (FUSE) Lab, Division of Landscape Architecture, Department of Architecture, Faculty of Architecture, The University of Hong Kong, China.
  • Liang D; Internationl Research Center of Big Data for Sustainable Development Goals, China.
  • Liu Z; Aerospace Information Research Institute, Chinese Academy of Sciences, China.
  • Sun Z; Faculty of Business and Economics, The University of Hong Kong, China.
  • Wu J; Internationl Research Center of Big Data for Sustainable Development Goals, China.
  • Xu Z; Aerospace Information Research Institute, Chinese Academy of Sciences, China.
  • Yan D; Department of Earth Sciences, The University of Hong Kong, China.
  • Zhang H; Internationl Research Center of Big Data for Sustainable Development Goals, China.
Natl Sci Rev ; 10(8): nwad178, 2023 Aug.
Article em En | MEDLINE | ID: mdl-37489181
ABSTRACT
The Intelligent Earth (iEarth) framework, composed of four major themes iEarth data, science, analytics, and decision, is proposed to define and build an interdisciplinary and synergistic framework for research, practice, and education that simultaneously safeguards the sustainable development of our living planet.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article