Seafloor mapping data, Victoria

Ierodiaconou, Daniel (Chief Investigator) , Seafloor mapping data, Victoria [data collection], Victorian Marine Habitat Mapping Project.

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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 iD for Ierodiaconou, Daniel (Chief Investigator) orcid.org/0000-0002-7832-4801
Contributor(s) Monk, Jacquomo (Research fellow & Ph.D.)ORCID iD for Monk, Jacquomo (Research fellow & Ph.D.) orcid.org/0000-0002-1874-0619
Laurenson, Laurie (Investigator)ORCID iD for Laurenson, Laurie (Investigator) orcid.org/0000-0003-2321-7512
Quinn, Gerald (Investigator)ORCID iD for Quinn, Gerald (Investigator) orcid.org/0000-0003-4144-0355
Rattray, Alex (Research fellow & Ph.D.)ORCID iD for 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 ┬ęDeakin 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

 
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Created: Wed, 14 Mar 2012, 09:30:02 EST by Sarah Sherman

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