针对地球观测领域规模最大的政府间国际组织“地球观测组织(Group on Earth Observations)”提出的“全球综合地球观测系统”这一概念,梳理了其实现和建设的现状,分析了其具有供给导向、元数据质量不高、无法直接支撑决策和行动等局限...针对地球观测领域规模最大的政府间国际组织“地球观测组织(Group on Earth Observations)”提出的“全球综合地球观测系统”这一概念,梳理了其实现和建设的现状,分析了其具有供给导向、元数据质量不高、无法直接支撑决策和行动等局限性。结合我国参加地球观测组织的计划和成果,详细阐述了面向全球服务的中国综合地球观测系统的内涵,并基于全球综合地球观测系统的优势与不足,提出了中国综合地球观测系统平台的系统架构,另外就优质数据集研制、信息专题服务以及数据应急响应3个案例阐述了中国综合地球观测系统平台的实践及成效。展开更多
There are a number of dirty data in observation data set derived from integrated ocean observing network system. Thus, the data must be carefully and reasonably processed before they are used for forecasting or analys...There are a number of dirty data in observation data set derived from integrated ocean observing network system. Thus, the data must be carefully and reasonably processed before they are used for forecasting or analysis. This paper proposes a data pre-processing model based on intelligent algorithms. Firstly, we introduce the integrated network platform of ocean observation. Next, the preprocessing model of data is presemed, and an imelligent cleaning model of data is proposed. Based on fuzzy clustering, the Kohonen clustering network is improved to fulfill the parallel calculation of fuzzy c-means clustering. The proposed dynamic algorithm can automatically f＇md the new clustering center with the updated sample data. The rapid and dynamic performance of the model makes it suitable for real time calculation, and the efficiency and accuracy of the model is proved by test results through observation data analysis.展开更多
文摘针对地球观测领域规模最大的政府间国际组织“地球观测组织(Group on Earth Observations)”提出的“全球综合地球观测系统”这一概念,梳理了其实现和建设的现状,分析了其具有供给导向、元数据质量不高、无法直接支撑决策和行动等局限性。结合我国参加地球观测组织的计划和成果,详细阐述了面向全球服务的中国综合地球观测系统的内涵,并基于全球综合地球观测系统的优势与不足,提出了中国综合地球观测系统平台的系统架构,另外就优质数据集研制、信息专题服务以及数据应急响应3个案例阐述了中国综合地球观测系统平台的实践及成效。
基金Key Science and Technology Project of the Shanghai Committee of Science and Technology, China (No.06dz1200921)Major Basic Research Project of the Shanghai Committee of Science and Technology(No.08JC1400100)+1 种基金Shanghai Talent Developing Foundation, China(No.001)Specialized Foundation for Excellent Talent of Shanghai,China
文摘There are a number of dirty data in observation data set derived from integrated ocean observing network system. Thus, the data must be carefully and reasonably processed before they are used for forecasting or analysis. This paper proposes a data pre-processing model based on intelligent algorithms. Firstly, we introduce the integrated network platform of ocean observation. Next, the preprocessing model of data is presemed, and an imelligent cleaning model of data is proposed. Based on fuzzy clustering, the Kohonen clustering network is improved to fulfill the parallel calculation of fuzzy c-means clustering. The proposed dynamic algorithm can automatically f＇md the new clustering center with the updated sample data. The rapid and dynamic performance of the model makes it suitable for real time calculation, and the efficiency and accuracy of the model is proved by test results through observation data analysis.
