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地球大数据助力均衡发展评估
引用本文:刘雅莉,王艳芬,杜剑卿,郭华东,吴炳方,傅伯杰.地球大数据助力均衡发展评估[J].中国科学院院刊,2021,36(8):963-972.
作者姓名:刘雅莉  王艳芬  杜剑卿  郭华东  吴炳方  傅伯杰
作者单位:中国科学院大学 资源与环境学院 北京 100049;中国科学院大学 资源与环境学院 北京 100049;燕山地球关键带与地表通量国家野外科学观测研究站 北京 101408;中国科学院空天信息创新研究院 北京 100094;可持续发展大数据国际研究中心 北京 100094;中国科学院大学 资源与环境学院 北京 100049;中国科学院空天信息创新研究院 北京 100094;中国科学院大学 资源与环境学院 北京 100049;中国科学院生态环境研究中心 北京 100085
基金项目:中国科学院国际合作局国际大科学计划培育专项(121311KYSB20170004),国家自然科学基金(42041005、42001267)
摘    要:受资源和环境等外界条件制约,以及联合国可持续发展目标(SDGs)间权衡作用影响,全球可持续发展存在一定的不均衡性,这主要体现为SDGs间和地区间发展的不均衡。深入认识并努力降低这种不均衡性对于全面实现SDGs至关重要。文章探讨了地球大数据如何助力SDGs间及地区间的均衡发展评估,指出地球大数据能够为目前达成度较差的人类基本生活需求类和环境保护类SDGs提供更新更及时、空间分辨率更高的数据产品,从而深入认识不均衡性的表现和成因,明晰制约均衡发展的核心问题,为SDGs间或地区间的协同发展提供科学依据,进而促进SDGs的全面实现。

关 键 词:可持续发展目标  地球大数据  均衡发展  协同  权衡
收稿时间:2021/7/26 0:00:00

Big Earth Data Promotes Assessment of Even Development
LIU Yali,WANG Yanfen,DU Jianqing,GUO Huadong,WU Bingfang,FU Bojie.Big Earth Data Promotes Assessment of Even Development[J].Bulletin of the Chinese Academy of Sciences,2021,36(8):963-972.
Authors:LIU Yali  WANG Yanfen  DU Jianqing  GUO Huadong  WU Bingfang  FU Bojie
Institution:College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China;College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China;Yanshan Earth Critical Zone and Surface Fluxes Research Station, Beijing 101408, China;Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China;International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China;College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China;Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China;Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
Abstract:Uneven progresses have been widely detected among goals or regions in global sustainable development, which are ascribed to the heterogeneous resource and environmental conditions and trade-offs among goals. In-depth understanding and efforts to reduce such uneven progresses are essential for the holistic achievement of the sustainable development goals (SDGs). This study discusses how bBig Earth Data supports the assessment of the even development among targets and regions by pointing out its advantages in providing high-frequency and more timely data products with higher spatial resolution for the currently poorly achieved SDGs regarding essential human needs and environmental protection. Moreover, the Big Earth Data brings deeper insights into the pattern and cause of the uneven development and disentangles the core issues that restrict the holistic achievement of SDGs.
Keywords:sustainable development goals (SDGs)  Big Earth Data  even development  synergy  trade-off
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