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Multi-spectral front maps for automatic detection of ocean colour features from SeaWiFS

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Abstract:

The aim of this research is to automatically detect and visualize dynamic ocean colour phenomena such as algae blooms, fronts and eddies from a sequence of cloudy satellite images. The composite front map methodology has been extended to combine feature observations from multiple ocean colour and temperature products in a single map, to explore the interaction between physical and biological oceanic processes. Sample maps showing chlorophyll, sediment and sea surface temperature fronts are presented, derived from long sequences of cloud-affected Advanced Very High Resolution Radiometer (AVHRR) and Sea viewing Wide Field of view Sensor (SeaWiFS) data. The successful detection and animation of many ocean colour features suggests a valuable application to summarize the increased multi-spectral data provided by the National Aeronautics & Space Administration's (NASA) Moderate Resolution Imaging Spectroradiometer (MODIS) instrument.

Document Type: Research Article

DOI: http://dx.doi.org/10.1080/01431160310001592409

Affiliations: Remote Sensing Group, Plymouth Marine Laboratory Prospect Place Plymouth PL1 3DH UK, Email: pim@pml.ac.uk

Publication date: April 1, 2004

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tandf/tres/2004/00000025/F0020007/art00030
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