| Title | 4D at its highest: interactive and reliable acoustic and optic imagery workflow |
| Download | Download (whole publication) |
| |
| Licence | Please note the adoption of the Open Government Licence - Canada
supersedes any previous licences. |
| Author | Neville, D; Febres Urdaneta, D; Malzone, C |
| Source | Program and abstracts: 2017 GeoHab Conference, Dartmouth, Nova Scotia, Canada; by Todd, B J ; Brown, C J; Lacharité, M; Gazzola, V; McCormack, E; Geological Survey of Canada, Open File 8295, 2017 p. 89, https://doi.org/10.4095/305903  Open Access |
| Links | GeoHab 2017
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| Year | 2017 |
| Publisher | Natural Resources Canada |
| Meeting | 2017 GeoHab: Marine Geological and Biological Habitat Mapping; Dartmouth, NS; CA; May 1-4, 2017 |
| Document | open file |
| Lang. | English |
| Media | on-line; digital |
| Related | This publication is contained in Program and abstracts: 2017
GeoHab Conference, Dartmouth, Nova Scotia, Canada |
| File format | pdf |
| Subjects | marine geology; surficial geology/geomorphology; environmental geology; geophysics; mapping techniques; oceanography; marine environments; coastal studies; conservation; marine organisms; marine
ecology; resource management; biological communities; environmental studies; ecosystems; photography; geophysical interpretations; acoustic surveys, marine; sonar surveys; side-scan sonar; bathymetry; seafloor topography; modelling; statistical
analysis; planning; Biology; Data processing; Methodology |
| Program | Offshore Geoscience |
| Released | 2017 09 26 |
| Abstract | The evolution of technology allows the collection of ever higher resolution data, which is needed to fully understand our underwater environment. These increased resolutions, and corresponding data
sizes, make the combination of technologies and data types more and more difficult. Attempting to work in different software packages with these large datasets can be costly and time consuming, and might include ad hoc methods, that will make results
of the process unreliable and not as accurate as the technology evolution promised. For example, for any habitat analysis to be successful and reliable; it needs to follow a rigorous methodology that would support subsequent studies and is easily
repeatable.
The use of video and imagery-based data, from camera drops or an ROV/AUV, is becoming a sound source for added value to acoustic surveys, and key for a ground truthing process. We will present a proof of concept workflow for online or
post acquisition analysis of video data in combination with high-resolution multi-beam, both bathymetry and backscatter, as well as auxiliary data types. This workflow will be illustrated for different example scenarios, such as quantitative habitat
analysis, infrastructure/anthropological structure analysis, and fisheries examples for habitat mapping. Through the application of the interactive 4D visualization and intuitive analysis tools within Fledermaus, we provide a robust and efficient
bridge between high volumes of video data, high-resolution bathymetry and backscatter data, and diverse auxiliary data, to enable high precision interpretation and eventing.
The opportunity to work with these data types, merged and time synced,
allows further advanced analysis even to quantitative samples, albeit with further increases in data volumes. Our solution overcomes the data volume challenges and maximizes the benefits of using a single stop software package that readily enables
the creation of a spatial database model to be exploited for statistical and quantitative analysis. Combining multiple time-sensitive 3D objects into a scene allows discovery and analysis within that environment. This additionally provides insight
for any future planning by integrating both the raw survey data and the interpretation of the data at difference user levels. |
| Summary | (Plain Language Summary, not published)
The sixteenth annual GeoHab Conference was held this year (2017) at the Waterfront Campus of the Nova Scotia Community College in Dartmouth, Nova Scotia,
Canada. |
| GEOSCAN ID | 305903 |
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