Data

Sea-ice HI-Photogrammetry Cape Evans 2023

University of Tasmania, Australia
Cimoli, Emiliano ; Lucieer, Vanessa
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=http://metadata.imas.utas.edu.au/geonetwork/srv/eng/search?uuid=643501ac-a918-4b0b-b0ef-42e3922e1fa2&rft.title=Sea-ice HI-Photogrammetry Cape Evans 2023&rft.identifier=http://metadata.imas.utas.edu.au/geonetwork/srv/eng/search?uuid=643501ac-a918-4b0b-b0ef-42e3922e1fa2&rft.description=Dataset collected at Cape Evans, Antarctica, November 2023 as part of a long-term NIWA benthic monitoring program under the Antarctica New Zealand event number K882A. The dataset includes multiple sea-ice and seafloor hyperspectral imaging transects (10-40 meters long) coupled with normal red, green, and blue (RGB) imagery from a dual camera machine vision system. The data were acquired using the remotely operated vehicle (ROV) HIcyBot system, funded by the Australian Centre for Excellence in Antarctic Research (ACEAS). A GNSS-integrated USBL transponder equipped onto the ROV allowed every frame of the high frequency hyperspectral imager to be timestamped via GPS clock to acoustically provided underwater position and attitude. The dataset also includes hyperspectral imaging scans of sampled/retrieved organisms found at the seafloor, to support habitat mapping algorithm development (e.g., algae, urchins, sea-stars, etc.). The ROV was tested as part of an ACEAS Program 2 subcomponent that involved the design of the new under-ice hyperspectral imaging and photogrammetric payload mounted onto the HIcyBot ROV. The overarching goal of the systems was to be able to acquire information of under the sea-ice sympagic and benthic communities (e.g., biomass and photophysiology) and deliver a multi-scale array of biophysical data that can be assimilated with known information in the region and monitor fine-scale change. Through the analysis of new and existing bio-optical under-ice data, the dataset aims to ultimately envisions the delivery of new monitoring tools and algorithms that can provide support for modelling efforts and reveal complex biophysical processes under a changing Antarctic Sea ice. ***NOTE DATA TO BE EMBARGOED UNTIL 01/01/2025***Maintenance and Update Frequency: asNeededStatement: Methods include: hyperspectral imaging, RGB imaging, stereo imaging, USBL positioning, pigment and DNA samples.&rft.creator=Cimoli, Emiliano &rft.creator=Lucieer, Vanessa &rft.date=2021&rft.coverage=westlimit=166.37903189; southlimit=-77.6393971001; eastlimit=166.402206175; northlimit=-77.6366408123&rft.coverage=westlimit=166.37903189; southlimit=-77.6393971001; eastlimit=166.402206175; northlimit=-77.6366408123&rft_rights=The data described in this record are the intellectual property of the University of Tasmania through the Institute for Marine and Antarctic Studies.&rft_rights= http://creativecommons.org/licenses/by/4.0/&rft_rights=http://i.creativecommons.org/l/by/4.0/88x31.png&rft_rights=WWW:LINK-1.0-http--related&rft_rights=License Graphic&rft_rights=Creative Commons Attribution 4.0 International License&rft_rights=http://creativecommons.org/international/&rft_rights=WWW:LINK-1.0-http--related&rft_rights=WWW:LINK-1.0-http--related&rft_rights=License Text&rft_rights=The citation in a list of references is: citation author name/s (year metadata published), metadata title. Citation author organisation/s. File identifier and Data accessed at (add http link).&rft_rights=Creative Commons Attribution 4.0 International License http://creativecommons.org/licenses/by/4.0&rft_subject=geoscientificInformation&rft_subject=oceans&rft_subject=climatologyMeteorologyAtmosphere&rft_subject=UNDERWATER&rft_subject=HYPERSPECTRAL IMAGING&rft_subject=SEA-ICE&rft_subject=UHI&rft_subject=MAPPING&rft_subject=OPTICAL&rft_subject=HABITAT&rft_subject=ANTARCTIC&rft_subject=SHALLOW&rft_subject=BENTHOS&rft_subject=EARTH SCIENCE | CRYOSPHERE | SEA ICE&rft_subject=EARTH SCIENCE | OCEANS | BATHYMETRY/SEAFLOOR TOPOGRAPHY | SEAFLOOR TOPOGRAPHY&rft_subject=EARTH SCIENCE | BIOSPHERE | ECOSYSTEMS | MARINE ECOSYSTEMS | BENTHIC&rft_subject=EARTH SCIENCE | BIOLOGICAL CLASSIFICATION | PLANTS | MICROALGAE&rft_subject=EARTH SCIENCE | OCEANS | OCEAN OPTICS&rft_subject=Photogrammetry and Remote Sensing&rft_subject=ENGINEERING&rft_subject=GEOMATIC ENGINEERING&rft_subject=Biological Oceanography&rft_subject=EARTH SCIENCES&rft_subject=OCEANOGRAPHY&rft.type=dataset&rft.language=English Access the data

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The data described in this record are the intellectual property of the University of Tasmania through the Institute for Marine and Antarctic Studies.

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The citation in a list of references is: citation author name/s (year metadata published), metadata title. Citation author organisation/s. File identifier and Data accessed at (add http link).

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Brief description

Dataset collected at Cape Evans, Antarctica, November 2023 as part of a long-term NIWA benthic monitoring program under the Antarctica New Zealand event number K882A.

The dataset includes multiple sea-ice and seafloor hyperspectral imaging transects (10-40 meters long) coupled with normal red, green, and blue (RGB) imagery from a dual camera machine vision system. The data were acquired using the remotely operated vehicle (ROV) HIcyBot system, funded by the Australian Centre for Excellence in Antarctic Research (ACEAS). A GNSS-integrated USBL transponder equipped onto the ROV allowed every frame of the high frequency hyperspectral imager to be timestamped via GPS clock to acoustically provided underwater position and attitude.

The dataset also includes hyperspectral imaging scans of sampled/retrieved organisms found at the seafloor, to support habitat mapping algorithm development (e.g., algae, urchins, sea-stars, etc.). The ROV was tested as part of an ACEAS Program 2 subcomponent that involved the design of the new under-ice hyperspectral imaging and photogrammetric payload mounted onto the HIcyBot ROV. The overarching goal of the systems was to be able to acquire information of under the sea-ice sympagic and benthic communities (e.g., biomass and photophysiology) and deliver a multi-scale array of biophysical data that can be assimilated with known information in the region and monitor fine-scale change. Through the analysis of new and existing bio-optical under-ice data, the dataset aims to ultimately envisions the delivery of new monitoring tools and algorithms that can provide support for modelling efforts and reveal complex biophysical processes under a changing Antarctic Sea ice.

***NOTE DATA TO BE EMBARGOED UNTIL 01/01/2025***

Lineage

Maintenance and Update Frequency: asNeeded
Statement: Methods include: hyperspectral imaging, RGB imaging, stereo imaging, USBL positioning, pigment and DNA samples.

Notes

Credit
Australian Centre for Excellence in Antarctic Science
Credit
New Zealand National Institute of Water and Atmospheric Research

Data time period: 2023-11-01 to 2023-11-30

This dataset is part of a larger collection

Click to explore relationships graph

166.40221,-77.63664 166.40221,-77.6394 166.37903,-77.6394 166.37903,-77.63664 166.40221,-77.63664

166.3906190325,-77.6380189562

text: westlimit=166.37903189; southlimit=-77.6393971001; eastlimit=166.402206175; northlimit=-77.6366408123

Other Information
Identifiers
  • global : 643501ac-a918-4b0b-b0ef-42e3922e1fa2