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author:

Yu, J. (Yu, J..) [1] | Li, J. (Li, J..) [2] | Baumann, P. (Baumann, P..) [3] | Tong, R. (Tong, R..) [4] | Chen, Y. (Chen, Y..) [5]

Indexed by:

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:

analytics; Earth Observation; interoperability; Remote Sensing; WCPS

Community:

  • [ 1 ] [Yu, J.]Spatial Information Research Center of Fujian, Fuzhou University, Fuzhou, China
  • [ 2 ] [Li, J.]Spatial Information Research Center of Fujian, Fuzhou University, Fuzhou, China
  • [ 3 ] [Baumann, P.]Large-Scale Scientific Information Systems, Jacobs University, Bremen, Germany
  • [ 4 ] [Tong, R.]Department of Transportation, Fujian University of Technology, Fuzhou, China
  • [ 5 ] [Chen, Y.]Spatial Information Research Center of Fujian, Fuzhou University, Fuzhou, China

Reprint 's Address:

  • [Yu, J.]Spatial Information Research Center of Fujian, Fuzhou UniversityChina

Email:

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Source :

BGDDS 2018 - 2018 International Workshop on Big Geospatial Data and Data Science

Year: 2019

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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