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author:

Yu, Jinsongdi (Yu, Jinsongdi.) [1] | Li, Jiaxin (Li, Jiaxin.) [2] | Baumann, Peter (Baumann, Peter.) [3] | Tong, Ruiju (Tong, Ruiju.) [4] | Chen, Yuanjie (Chen, Yuanjie.) [5]

Indexed by:

EI Scopus

Abstract:

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. © 2018 IEEE.

Keyword:

Data Science Interoperability Observatories Remote sensing

Community:

  • [ 1 ] [Yu, Jinsongdi]Spatial Information Research Center of Fujian, Fuzhou University, Fuzhou, China
  • [ 2 ] [Li, Jiaxin]Spatial Information Research Center of Fujian, Fuzhou University, Fuzhou, China
  • [ 3 ] [Baumann, Peter]Large-Scale Scientific Information Systems, Jacobs University, Bremen, Germany
  • [ 4 ] [Tong, Ruiju]Department of Transportation, Fujian University of Technology, Fuzhou, China
  • [ 5 ] [Chen, Yuanjie]Spatial Information Research Center of Fujian, Fuzhou University, Fuzhou, China

Reprint 's Address:

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    [yu, jinsongdi]spatial information research center of fujian, fuzhou university, fuzhou, china

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Year: 2018

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

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Chinese Cited Count:

30 Days PV: 1

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