Geological surveys can be undertaken in support of scientific research or resource exploration, on land or at sea. The goal may be a map of surface features, or a better understanding of what lies beneath the surface. Survey data is used for geohazard detection, seafloor stability monitoring, and in support of dredging/excavation operations and benthic habitat mapping. A variety of sensors can be involved, including multibeam sonar for bathymetric depths, water column target detection, and backscatter intensity returns, sidescan sonars for imaging the seafloor, CHIRP sonars, sub-bottom profilers, seismic arrays, samplers, and magnetometers. Video and digital photos may be taken to aid in interpretation. There may also be in-situ instruments such as seismometers and other seafloor instrumentation. All of these instruments are producing detailed data that can portray a complex, detailed geological story of an area – if they can all be brought together.
Fledermaus will help you bring it all together. Starting at the processing level, Fledermaus can handle vast quantities of data quickly and takes advantage of 64-bit operating systems and multiple processors, so utilizing high resolution surveys is less time consuming and lost time due to system crashes and lengthy processing is minimized.CUBEThe CUBE algorithm was developed by Dr. Brian Calder at the Center for Coastal and Ocean Mapping/Joint Hydrographic Center at the University of New Hampshireand Area Based processing methods are utilized to shorten processing time and quickly take your data from unrefined survey data to the best possible seabed
surface model, with higher confidence that your model is based on real data, not collection artifacts. Advanced backscatter processing techniques will take your backscatter data from dB values to a seafloor mosaic and a signal-based Angle Range Analysis(ARA)The FMGeocoder Toolbox (FMGT) product and ARA analysis originates from research by Dr. Luciano Fonseca at the Center for Coastal and Ocean Mapping/Joint Hydrographic Center at the University of New Hampshireseafloor characterization, providing a picture of the seabed make-up. If water column data collection was part of your survey, Fledermaus provides the most user-friendly water column processing package available for detecting and visualizing features such as gas plumes.
Post-processing, Fledermaus allows you to easily fuse your data into an interactive, intuitive 4D visualization. You can combine surface data from various sensors at different resolutions in a variety of industry standard gridded and ungridded formats, and import and drape previous interpretations, backscatter, sidescan, video, and photo imagery. Run slope and rugosity algorithms on your data, or create scalar grids from your magnetometer data. Vector information such as field observation points, fault lines, feature polygons, and sample locations can add an additional layer of information. Once all your data is combined, use the editable interpretation tools to create geological, geohazard, or benthic habitat maps, plan pipeline or cable routes, or create dynamic animations of surface change or area fly-throughs. Finally, transfer all of your results toEsri ArcGIS® softwareArcGIS® trademark provided under license from Esrifor archiving or further analysis using the Fledermaus - ArcGIS integration.
For some examples of Fledermaus being used in geological surveys, see the perspective view images on the USGS Western Coastal & Marine Geology website, various images and Open File Reports on the USGS Woods Hole Coastal and Marine Science Center website, and the Center for Coastal and Ocean Mapping – Joint Hydrographic Center Law of the Sea Mapping Program.
1. Scene courtesy of the USGS Woods Hole Coastal and Marine Science Center using data collected by the Center as well as data downloaded from the NOAA National Geophysical Data Center (NGDC) and USGS Earth Resources Observation and Science (EROS) Center
2. Data courtesy of the USGS Woods Hole Coastal and Marine Science Center and NOAA; image from Google Earth