A STANDARD-BASED COLLABORATIVE ANALYTICS SERVICE OF REMOTE SENSING IMAGERY

被引：0

作者：

Yu, Jinsongdi ^{[1
]}

Li, Jiaxin ^{[1
]}

Baumann, Peter ^{[2
]}

Tong, Ruiju ^{[3
]}

Chen, Yuanjie ^{[1
]}

机构：

[1] Fuzhou Univ, Spatial Informat Res Ctr Fujian, Fuzhou, Fujian, Peoples R China

[2] Jacobs Univ, Large Scale Sci Informat Syst, Bremen, Germany

[3] Fujian Univ Tecbnol, Dept Transportat, Fuzhou, Fujian, Peoples R China

来源：

2018 INTERNATIONAL WORKSHOP ON BIG GEOSPATIAL DATA AND DATA SCIENCE (BGDDS 2018) | 2018年

关键词：

interoperability; analytics; Remote Sensing; Earth Observation; WCPS;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The explosion of available Remote Sensing data resources in a wide range of Earth Observation application domains is shifting the paradigm of Earth Data Science. To exploit and acquire further insights and knowledge, the development of standard-based collaborative analytics services is considered as one of potential solutions and is becoming indispensable to strengthen integration among Earth observation application systems. In this study, a standard-based collaborative analytics method based on Web Coverage Processing Service (WCPS) and R are proposed by considering standardized web communication protocols, making it possible to effectively improve the interoperability of Spatial Data Infrastructures in terms of Earth Science System monitoring and forecasting.

引用

页数：4

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