A cloud-based remote sensing data production system
- Submitting institution
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The University of West London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 11010
- Type
- D - Journal article
- DOI
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10.1016/j.future.2017.02.044
- Title of journal
- Future Generation Computer Systems
- Article number
- -
- First page
- 1154
- Volume
- 86
- Issue
- -
- ISSN
- 0167-739X
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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4
- Research group(s)
-
-
- Citation count
- 21
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work is funded by top funding body in China - National Natural Science Foundation (No. 41471368). This paper presents a product generation programme using multisource remote-sensing data across distributed data centres in cloud environment, overcoming low-productive efficiency, less-types and simple services of existing system. This work is significant because the proposed programme has been evaluated by experiments performed at global, regional and local levels (e.g. global carbon dioxide vegetation consumption data). The results showed the proposed system could deal with massive remote-sensing data and different products, as well as generating an on-demand remote-sensing computing and information service.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -