Instrumented Remotely Operated Vehicle (ROV) under-ice observations

Data were collected during deployments of an instrumented Remotely Operated Vehicle on 5 sampling days to determine sea ice physical properties and measure transmitted under-ice radiance spectra (combined with surface irradiance measurements) to estimate the spatial distribution and temporal develop...

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Bibliographic Details
Other Authors: AADC (originator), AU/AADC > Australian Antarctic Data Centre, Australia (resourceProvider)
Format: Dataset
Language:unknown
Published: Australian Ocean Data Network
Subjects:
oceans
SEA ICE
EARTH SCIENCE
CRYOSPHERE
MICROALGAE
BIOLOGICAL CLASSIFICATION
PLANTS
OCEAN OPTICS
ROV
REMOTELY OPERATED VEHICLE
RADIOMETERS
FIELD SURVEYS
ACE/CRC
AMD/AU
AMD
CEOS
GEOGRAPHIC REGION &gt
POLAR
CONTINENT &gt
ANTARCTICA
OCEAN &gt
SOUTHERN OCEAN
Southern Ocean
Antarc*
Antarctica
Sea ice
Online Access:https://researchdata.ands.org.au/instrumented-remotely-operated-ice-observations/1358668
https://data.aad.gov.au/metadata/records/AAS_4298_Under_Ice_ROV_Observations
http://data.aad.gov.au/eds/4556/download
https://data.aad.gov.au/aadc/metadata/citation.cfm?entry_id=AAS_4298_Under_Ice_ROV_Observations
https://secure3.aad.gov.au/proms/public/projects/report_project_public.cfm?project_no=AAS_4298
Description
Summary:Data were collected during deployments of an instrumented Remotely Operated Vehicle on 5 sampling days to determine sea ice physical properties and measure transmitted under-ice radiance spectra (combined with surface irradiance measurements) to estimate the spatial distribution and temporal development of ice algal biomass in land-fast sea ice. The ROV was instrumented with a navigation/positioning system (linked to surface GPS), upward-looking sonar and accurate depth sensor (Valeport 500 (to determine sea-ice draft)), and a upward-looking TriOS Ramses radiance sensor as well as several video-cameras collecting under-ice footage. Parallel measurements included surface irradiance measurements. A readme file in the download explains the folder structure of the dataset. Spatial mapping of land-fast sea ice physical and biological properties using an instrumented Remotely Operated Vehicle.

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