Multi-spectral front maps for automatic detection of ocean colour features from SeaWiFS
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
Affiliations: Remote Sensing Group, Plymouth Marine Laboratory Prospect Place Plymouth PL1 3DH UK, Email: [email protected]
Publication date: 01 April 2004
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