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The Digital Belt and Road program in support of regional sustainability
Authors:Huadong Guo  Yubao Qiu  Massimo Menenti  Fang Chen  Paul F Uhlir
Institution:1. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, People's Republic of China;2. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, People's Republic of China;3. Department of Geoscience and Remote Sensing, Delft University of Technology, Delft, Netherlands;4. College of Geospatial Information Science and Technology, Capital Normal University, Beijing, People's Republic of China;5. Information Policy and Management, Callicoon, NY, USA
Abstract:The Belt and Road initiative has a significant focus on infrastructure, trade, and economic development across a vast region, and it also provides significant opportunities for sustainable development. The combined pressure of climate variability, intensified use of resources, and the fragility of ecosystems make it very challenging, however, to achieve future sustainability. To develop the path in a sustainable way, it is important to have a comprehensive understanding of these issues across nations and evaluate them in a scientific and well-informed approach. In this context, the Digital Belt and Road (DBAR) program was initiated as an international venture to share expertise, knowledge, technologies, and data to demonstrate the role of Earth observation science and technology and big Earth data applications to support large-scale development. In this paper, we identify pressing challenges, present the research priorities and foci of the DBAR program, and propose solutions where big Earth data can make significant contributions. This paper calls for further joint actions and collaboration to build a digital silk road in support of sustainable development at national, regional and global levels.
Keywords:Digital Belt and Road program (DBAR)  big Earth data  Earth observation  research data  international cooperation  sustainable development goals (SDGs)
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