Cloud services with big data provide a solution for monitoring and tracking sustainable development goals
作者机构：State Key Laboratory of Remote Sensing ScienceAerospace Information Research InstituteChinese Academy of SciencesBeijing 100101China University of Chinese Academy of SciencesBeijing 10049China
出 版 物：《Geography and Sustainability》 (地理学与可持续性（英文）)
年 卷 期：2020年第1卷第1期
页 面：25-32页
学科分类：0709[理学-地质学] 08[工学] 0303[法学-社会学] 0710[理学-生物学] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 083001[工学-环境科学] 081203[工学-计算机应用技术] 0708[理学-地球物理学] 0705[理学-地理学] 0815[工学-水利工程] 0813[工学-建筑学] 0835[工学-软件工程] 0833[工学-城乡规划学] 0713[理学-生态学] 0834[工学-风景园林学（可授工学、农学学位）] 0812[工学-计算机科学与技术（可授工学、理学学位）]
基 金：funded by the National Key Research and Development Program of China(Grant No.2016YFA0600304) the Strategic Priority Research Program of Chinese Academy of Sciences(Grant No.XDA19030201)
主 题：Big data Cloud services SDGs Monitoring
摘 要：To achieve the Sustainable Development Goals(SDGs),high-quality data are needed to inform the formulation of policies and investment decisions,to monitor progress towards the SDGs and to evaluate the impacts of ***,the data landscape is *** emerging big data and cloud-based services,there are new opportunities for data collection,influencing both official data collection processes and the operation of the programmes they *** paper uses cases and examples to explore the potential of crowdsourcing and public earth observation(EO)data products for monitoring and tracking the *** paper suggests that cloud-based services that integrate crowdsourcing and public EO data products provide cost-effective solutions for monitoring and tracking the SDGs,particularly for low-income *** paper also discusses the challenges of using cloud services and big data for SDG *** and quality control of public EO data is very important;otherwise,the user will be unable to assess the quality of the data or use it with confidence.
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