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Image processing for smarter browsing of ocean color data products: investigating algal blooms

Hayes, Jer and O'Connor, Edel and Lau, King-Tong and O'Connor, Noel E. and Smeaton, Alan F. and Diamond, Dermot (2010) Image processing for smarter browsing of ocean color data products: investigating algal blooms. In: SPIE Remote Sensing 2010, 21-23 September 2010, Toulouse, France.

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Abstract

Remote sensing technology continues to play a significant role in the understanding of our environment and the investigation of the Earth. Ocean color is the water hue due to the presence of tiny plants containing the pigment chlorophyll, sediments, and colored dissolved organic material and so can provide valuable information on coastal ecosystems. We propose to make the browsing of Ocean Color data more efficient for users by using image processing techniques to extract useful information which can be accessible through browser searching. Image processing is applied to chlorophyll and sea surface temperature images. The automatic image processing of the visual level 1 and level 2 data allow us to investigate the occurrence of algal blooms. Images with colors in a certain range (red, orange etc.) are used to address possible algal blooms and allow us to examine the seasonal variation of algal blooms in Europe (around Ireland and in the Baltic Sea). Yearly seasonal variation of algal blooms in Europe based on image processing for smarting browsing of Ocean Color are presented.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:remote sensing; algal blooms;
Subjects:Physical Sciences > Environmental chemistry
Computer Science > Image processing
DCU Faculties and Centres:Research Initiatives and Centres > CLARITY: The Centre for Sensor Web Technologies
Published in:Proc. SPIE, Vol. 7831, 78310P (2010). . SPIE - The International Society for Optical Engineering.
Publisher:SPIE - The International Society for Optical Engineering
Official URL:http://dx.doi.org/10.1117/12.864949
Copyright Information:Copyright notice format: Copyright 2010 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
Funders:Science Foundation Ireland
ID Code:15752
Deposited On:25 Nov 2010 14:43 by Jer Hayes. Last Modified 25 Nov 2010 14:43

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