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A provenance enabled replication framework for remote sensing data dissemination and management.
Author(s):
1. T. Ahmad: Department of Computer Science University of Engineering and Technology, Lahore, Pakistan
2. A. Shah: Department of Computer Science University of Engineering and Technology, Lahore, Pakistan
Abstract:
More recently, satellite and remote sensing data has gained importance owning to its proliferation in almost every sphere of life. This remotely sensed data is being increasingly relied upon for applications in real time decisions for GIS, military and strategic needs, and, surveillance and security systems. For real time decision making, efficient, reliable and real time access to the digital repositories of remotely sensed data is pertinent. However, real time access to the digital repositories most of which are web based is plagued by various management and dissemination issues similar to those affecting other domains such as bioinformatics and e-commerce. In theses data intensive domains replication and provenance have been used successfully for improved performance of data sources by handling the issues of availability, discovery, reliability, authenticity and consistency. In this paper the authors have argued that replication and provenance techniques offer a promising solution to remove the bottleneck in real time decision making based on remote sensing data as remote sensing data dissemination and management share common issues and problems with the data intensive domains mentioned above. The authors also suggest and propose a framework for remote sensing data dissemination and management.
Page(s): 167-174
DOI: DOI not available
Published: Journal: Pakistan Journal of Science, Volume: 61, Issue: 3, Year: 2009
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