Login (DCU Staff Only)
Login (DCU Staff Only)

DORAS | DCU Research Repository

Explore open access research and scholarly works from DCU

Advanced Search

Investigation into the use of satellite remote sensing data products as part of a multi-modal marine environmental monitoring network

O'Connor, Edel, Smeaton, Alan F. orcid logoORCID: 0000-0003-1028-8389, O'Connor, Noel E. orcid logoORCID: 0000-0002-4033-9135 and Regan, Fiona orcid logoORCID: 0000-0002-8273-9970 (2012) Investigation into the use of satellite remote sensing data products as part of a multi-modal marine environmental monitoring network. In: SPIE Remote Sensing, 24-27 Sept 2012, Edinburgh, United Kingdom.

In this paper it is investigated how conventional in-situ sensor networks can be complemented by the satellite data streams available through numerous platforms orbiting the earth and the combined analyses products available through services such as MyOcean. Despite the numerous benefits associated with the use of satellite remote sensing data products, there are a number of limitations with their use in coastal zones. Here the ability of these data sources to provide contextual awareness, redundancy and increased efficiency to an in-situ sensor network is investigated. The potential use of a variety of chlorophyll and SST data products as additional data sources in the SmartBay monitoring network in Galway Bay, Ireland is analysed. The ultimate goal is to investigate the ability of these products to create a smarter marine monitoring network with increased efficiency. Overall it was found that while care needs to be taken in choosing these products, there was extremely promising performance from a number of these products that would be suitable in the context of a number of applications especially in relation to SST. It was more difficult to come to conclusive results for the chlorophyll analysis.
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Uncontrolled Keywords:sensor networks; multi-modal sensing; visual sensing; satellite sensing; data analysis
Subjects:Engineering > Imaging systems
Computer Science > Image processing
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Institutes and Centres > CLARITY: The Centre for Sensor Web Technologies
Research Institutes and Centres > National Centre for Sensor Research (NCSR)
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:17387
Deposited On:04 Oct 2012 13:03 by Edel O'Connor . Last Modified 22 Oct 2018 15:08

Full text available as:

[thumbnail of SPIE2012_Paper_FINAL_corrections.pdf]
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader


Downloads per month over past year

Archive Staff Only: edit this record