Seafloor mapping data, Victoria Ierodiaconou, Daniel (Chief Investigator) , Seafloor mapping data, Victoria [data collection], Victorian Marine Habitat Mapping Project. Attached Files Name Description MIMEType Size Downloads Field of Research 070499 Fisheries Sciences not elsewhere classified Socio Economic Objective 960808 Marine Flora, Fauna and Biodiversity Name of data collection Seafloor mapping data, Victoria Creator(s) Ierodiaconou, Daniel (Chief Investigator) orcid.org/0000-0002-7832-4801 Contributor(s) Monk, Jacquomo (Research fellow & Ph.D.) orcid.org/0000-0002-1874-0619 Laurenson, Laurie (Investigator) orcid.org/0000-0003-2321-7512 Quinn, Gerald (Investigator) orcid.org/0000-0003-4144-0355 Rattray, Alex (Research fellow & Ph.D.) orcid.org/0000-0002-8591-6688 Related institution(s) Caring for our Country Material type Mdb ARCGIS ENVI * DAT xls csv XTF database GIS files Vector video ANDS collection type dataset Collection start date 2005 Project name Victorian Marine Habitat Mapping Project Project Description A critical requirement in marine ecosystem resource management is how to identify, define and characterise habitat types within the overall seascape architecture. Accurate information on seafloor structure and associated habitats is limited due to technological constraints in surveying. Using state of the art multibeam sonar, LiDAR and video systems to generate high accuracy remotely sensed data, this project will assess the spatial relationships between seafloor structural characteristics and biological communities in Victorian coastal waters. Novel multi-scale predictive modelling techniques will be developed to gain a better understanding of the distribution and complexity of temperate marine biological communities. The core aim of this research is to discover the spatial relationships between geo-physical characteristics of our near shore marine environment and associated biological communities using data generated from new remote sensing techniques applied to state-of-the-art multibeam sonar and video systems. Innovative techniques will be used to integrate data from multiple sources and generate distribution and complexity models for marine biological communities. Specific research questions are: (1) What are the essential geo-physical characteristics of the seafloor that explain the distribution of biological communities in the near-shore marine environment? (2) Is there significant longitudinal variation in the relationship between geo-physical characteristics and biological communities in Victorian coastal waters? (3) Can geo-physical surrogates and biological observation information be used to characterise biological communities and predict their distributions using automated classification techniques? Description of resource Seafloor structure information, video information, and habitat maps; more then 6 TB of data (100's of items collected per annum) Software required ArcGIS; ENVI Keyword(s) seafloor imagery habitat maps towed video sonar LiDAR airborne laser scanning Language eng Summary The collection includes three major data types - Seafloor structure information: Collation of seafloor structure information (bathymetry and softness hardness) collected using multibeam sonar systems as part of the Victorian Marine Habitat Mapping Project and bathymetric light detection and ranging data (LiDAR) collected as part of the future coats program. The geographic is Victorian State waters (~1400km2 multibeam sonar & ~4000 km2 for LiDAR as of 2012 - Video information: ~800 linear kilometres of precisely georeferenced towed video data from depths of 10-100m in Victorian coastal waters. 300 baited stereo video drops in Hopkins and Discovery Bay site locations. All video has been classified to the lowest taxonomic resolution possible with the video systems employed and converted to spatial data layers in the GIS environment. - Habitat maps: Predicted habitat models integrating seafloor structure and video information developed using classification algorithms and remote sensing technologies. General notes This data was automatically generated by computer, from sensors and instruments, fieldwork, and laboratory notes. It is organised by site location. This data collection was funded by the Australian Government through Caring for our Country, and the Deakin Central Research Grant Scheme. Contact details (email) daniel.ierodiaconou@deakin.edu.au Contact details (physical) School of Life and Environmental Sciences, Deakin University, 45 Mahoneys Road, Warrnambool, Victoria 3280 Australia Copyright notice ©Deakin University Access conditions Restricted to the Warrnambool Geospatial Research Group. Enquires should be directed to Daniel Ierodiaconou via email. Related work DU:30032334 DU:30032268 DU:30007081 DU:30032330 DU:30017155 DU:30010514 DU:30017439 DU:30010514 Persistent URL http://hdl.handle.net/10536/DRO/DU:30043228 Document type: Data Collection Collections: Faculty of Science, Engineering and Built Environment School of Life and Environmental Sciences Datasets collection Centre for Integrative Ecology   Link to Related Work Victorian marine habitat mapping project Book (deposited 21-10-2008) Seafloor mapping data, Victoria Data Collection (deposited 14-03-2012) Sea-level changes and palaeo-ranges: reconstruction of ancient shorelines and river drainages and the phylogeography of the Australian land crayfish Engaeus sericatus Clark (Decapoda: Parastacidae ) Journal Article (deposited 14-08-2009) Using community-based monitoring with GIS to create habitat maps for a marine protected area in Australia Journal Article (deposited 14-08-2009) Remotely sensed hydroacoustics and observation data for predicting fish habitat suitability Journal Article (deposited 24-01-2011) Marine benthic habitat mapping using multibeam data, georeferenced video and image classification techniques in Victoria, Australia Journal Article (deposited 29-09-2008) Habitat suitability for marine fishes using presence-only modelling and multibeam sonar Journal Article (deposited 17-01-2011) Comparison of automated classification techniques for predicting benthic biological communities using hydroacoustics and video observations Journal Article (deposited 24-01-2011)   Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. 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