A remote sensing data management system for sea area usage management in China. (1st February 2018)
- Record Type:
- Journal Article
- Title:
- A remote sensing data management system for sea area usage management in China. (1st February 2018)
- Main Title:
- A remote sensing data management system for sea area usage management in China
- Authors:
- Liu, Wei
Liu, Shibin
Zhao, Jianhua
Duan, Jianbo
Chen, Zhihong
Guo, Rui
Chu, Jialan
Zhang, Jing
Li, Xinpeng
Liu, Jianbo - Abstract:
- Abstract: In China, remote sensing data play an important role in sea area usage management. With the enrichment of available remote sensing platforms and sensors, the volume constantly growing, and more and more complicated data processing operations on data products, remote sensing data overload has been an obvious problem for anyone who is trying to set planning policies and monitor sea area usage activities based on the valuable data products. In order to solve the problem, this paper presents a customized remote sensing data management system (RSDM) for archiving and distributing the remote sensing data products for sea area usage management. This paper has identified a set of key domain requirements by reviewing the workflow of sea area usage management. In the RSDM, a metadata interpreter tool allows data managers to classify the data products into categorical data types according to a set of domain-specific business rules, and a data model based on data lineage is developed to support tracing all relevant data products along processing chains. In addition, a unified procedure, which is used to create Quick Look images with transparent border areas from different remote sensing data sources, is developed. What is more, the system provides summary information about the available data suitable for auditing and exploratory data analysis by using a series of statistic graphs from different perspectives for data managers and users. This paper demonstrates that the RSDMAbstract: In China, remote sensing data play an important role in sea area usage management. With the enrichment of available remote sensing platforms and sensors, the volume constantly growing, and more and more complicated data processing operations on data products, remote sensing data overload has been an obvious problem for anyone who is trying to set planning policies and monitor sea area usage activities based on the valuable data products. In order to solve the problem, this paper presents a customized remote sensing data management system (RSDM) for archiving and distributing the remote sensing data products for sea area usage management. This paper has identified a set of key domain requirements by reviewing the workflow of sea area usage management. In the RSDM, a metadata interpreter tool allows data managers to classify the data products into categorical data types according to a set of domain-specific business rules, and a data model based on data lineage is developed to support tracing all relevant data products along processing chains. In addition, a unified procedure, which is used to create Quick Look images with transparent border areas from different remote sensing data sources, is developed. What is more, the system provides summary information about the available data suitable for auditing and exploratory data analysis by using a series of statistic graphs from different perspectives for data managers and users. This paper demonstrates that the RSDM improves data managers' day-to-day working arrangements, and facilitates the application of the remote sensing technology in sea area usage management. Highlights: A set of domain-specific requirements for sea area usage management in China has been identified. A customized data model for meeting the needs of sea area usage management was proposed. A customized remote sensing data system for sea area usage management in China was developed. … (more)
- Is Part Of:
- Ocean & coastal management. Volume 152(2018)
- Journal:
- Ocean & coastal management
- Issue:
- Volume 152(2018)
- Issue Display:
- Volume 152, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 152
- Issue:
- 2018
- Issue Sort Value:
- 2018-0152-2018-0000
- Page Start:
- 163
- Page End:
- 174
- Publication Date:
- 2018-02-01
- Subjects:
- Sea area usage management -- Remote sensing data management -- Data modelling -- Metadata management -- Data lineage -- Coastal environment
Marine resources -- Management -- Periodicals
Coastal zone management -- Periodicals
Coastal ecology -- Periodicals
Ressources marines -- Périodiques
Littoral -- Aménagement -- Périodiques
Écologie littorale -- Périodiques
Coastal ecology
Coastal zone management
Marine resources -- Management
Periodicals
Electronic journals
551.46 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09645691 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ocecoaman.2017.11.028 ↗
- Languages:
- English
- ISSNs:
- 0964-5691
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6231.271920
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 8988.xml