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DOI: 10.14569/SpecialIssue.2013.030305
PDF

Grid Based Processing of Satellite Images in GreenLand Platform

Author 1: Danut Mihon
Author 2: Vlad Colceriu
Author 3: Victor Bacu
Author 4: Dorian Gorgan

International Journal of Advanced Computer Science and Applications(IJACSA), EnviroGRIDS Special Issue on “Building a Regional Observation System in the Black Sea Catchment", 2013.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: Geographical Information System (GIS) applications that process large amount of data require intensive usage of hardware capabilities provided by distributed platforms, such as the Grid infrastructure. Due to the constant demand of data availability and data sharing, without concerning its format and size, a new software solution is needed. GreenLand is a system capable to provide such a solution, based on its constituent modules: GreenLandGUI, gProcess, ESIP, WorkflowEditor, and OperatorEditor. This paper highlights each of them and how they interact in order to create a platform capable of fetching, processing, and visualizing large amount of data exposed in a uniform and standardized manner.

Keywords:

Danut Mihon, Vlad Colceriu, Victor Bacu and Dorian Gorgan, “Grid Based Processing of Satellite Images in GreenLand Platform” International Journal of Advanced Computer Science and Applications(IJACSA), EnviroGRIDS Special Issue on “Building a Regional Observation System in the Black Sea Catchment", 2013. http://dx.doi.org/10.14569/SpecialIssue.2013.030305

@article{Mihon2013,
title = {Grid Based Processing of Satellite Images in GreenLand Platform},
journal = {International Journal of Advanced Computer Science and Applications(IJACSA), EnviroGRIDS Special Issue on “Building a Regional Observation System in the Black Sea Catchment"}
doi = {10.14569/SpecialIssue.2013.030305},
url = {http://dx.doi.org/10.14569/SpecialIssue.2013.030305},
year = {2013},
publisher = {The Science and Information Organization},
volume = {3},
number = {3},
author = {Danut Mihon and Vlad Colceriu and Victor Bacu and Dorian Gorgan},
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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