Fledermaus 7.4.1 (released 4 July 2014) included new tools for working with watercolumn data – semi-automated feature detection and cluster analysis. These research tools were originally written by Dr. Tom Weber of the Center for Coastal and Ocean Mapping (CCOM) at the University of New Hampshire to help detect seafloor seeps in watercolumn data. The QPS developers have used the Fledermaus plugin architecture to create a new tool that is now available to all FMMidwater users, another example of successful partnership between researchers and industry.
We will be hosting webinars on July 22nd and July 23rd to demonstrate the new functionality, please visit the webinar event page for more information and to register. We have also created two new Howtos with step-by-step instructions, the first explaining and the second describing the associated Point Clusters SD object and clustering analysis tools found in Fledermaus.
Preliminary view of a watercolumn file prior to any filtering.
Scanning for potential seeps manually using signal level.
Potential seeps detected using despeckling filter in the Feature Detection tool.