Data

Imagery from BOSS and uBRUV drops for mapping the subtidal seagrass of Tayaritja (Furneaux group of islands), north-eastern Tasmania (NESP MaC 3.6)

Australian Ocean Data Network

Lucieer, Vanessa ; Ierodiaconou, Daniel ; Sherman, Craig ; Lyons, Mitchell ; Monk, Jacquomo ; Strain, Elisabeth ; Wright, Jeffrey ; Hulls, Justin ; Flukes, Emma ; Carnell, Paul ; Dalby, Oliver ; Cozens, Zoe

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=info:doi10.25959/WRXK-KV06&rft.title=Imagery from BOSS and uBRUV drops for mapping the subtidal seagrass of Tayaritja (Furneaux group of islands), north-eastern Tasmania (NESP MaC 3.6)&rft.identifier=10.25959/WRXK-KV06&rft.description=Seagrass beds are a dominant marine ecosystem of Tayaritja (the Furneaux Group of Islands) in the north-eastern waters off Tasmania. Historical coarse mapping has indicated extensive beds of Posidonia, Amphibolis, Heterozostera, and Zostera species, potentially comprising some of the largest and deepest seagrass extents found in temperate Australian waters. However, limited data on the distribution and ecological value of these seagrass habitats represents a significant knowledge gap in understanding Australia's wetland natural assets. This project mapped the extent, ecological composition, population structure, and blue carbon value of seagrass beds around Tayaritja, in partnership with the Tasmanian Aboriginal Centre. The study area focused on the coastal waters surrounding Flinders Island in the western Furneaux Group, with mapping extending from the high tide line to the depth limit of reliable optical detection (approximately 30 m), based on analysis of field data and satellite imagery capabilities in the region. The field validation component of this study involved deployment of benthic video platforms to capture imagery of seagrass beds and associated ecosystems. A field campaign deployed a Benthic Observation Survey System (BOSS) and unBaited Remote Underwater stereo-Video system (stereo-uBRUV) at approximately 400 locations to collect photoquadrats and validate remote sensing outputs. Imagery annotation was conducted in the SQUIDLE+ platform. See dataset https://doi.org/10.25959/e4s6-ge74 for habitat maps derived from field validation and remote sensing inputs. The approach developed through this study contributed to the creation of the NESP Standard Operating Procedure (SOP) for Seagrass Mapping using Optical Remote Sensing (https://sustainabledevelopmentreform.github.io/nesp-sop-seagrass-mapping).. See the Lineage section of this record for full methodology of field collection techniques.Maintenance and Update Frequency: none-plannedStatement: Field data collection followed the protocols outlined in Section 5 of the Seagrass Mapping SOP (https://sustainabledevelopmentreform.github.io/nesp-sop-seagrass-mapping/#5-training-data-collection-and-curation), utilising a statistically balanced sampling approach that maintained uniform sampling intensity while avoiding preference or exclusion of any areas. Two stereo-video platforms were used to ground-truth habitat data in this study: the unBaited Remote Underwater stereo-Video system (stereo-uBRUV) and the Benthic Observation Sampling System (BOSS). Stereo-uBRUVs are a widely accepted method for surveying benthic fish communities, consisting of a pair of horizontally-facing cameras mounted inside a trapezoidal frame, which is deployed to the seafloor, typically for a period of ~1 hour. The BOSS system (https://drop-camera-field-manual.github.io) is a newer platform designed for rapid assessment of benthic communities, capturing detailed benthic habitat information in a single 3-5 minute deployment. It uses four horizontally-facing cameras mounted at 90 degree angles and captures a ~270° downwards-facing view, generating high-resolution panoramic imagery of the seafloor. The CATAMI classification scheme was used for benthic feature labeling, with points annotated using the SQUIDLE+ platform (https://squidle.org). For both methods, additional metadata such as deployment location, water depth, date, and time were recorded. All deployments followed standard operating procedures outlined in the national marine sampling field manuals (https://marine-sampling-field-manual.github.io). All imagery is publicly accessible at SQUIDLE+: https://squidle.org/geodata/explore/img?filters={campaign_ids:[967,1106,1138]} See 3.6 Case Study SOP (https://sustainabledevelopmentreform.github.io/nesp-sop-seagrass-mapping/case_study_NESP3.6/NESP_3.6_case_study.html) for code associated with&rft.creator=Lucieer, Vanessa &rft.creator=Ierodiaconou, Daniel &rft.creator=Sherman, Craig &rft.creator=Lyons, Mitchell &rft.creator=Monk, Jacquomo &rft.creator=Strain, Elisabeth &rft.creator=Wright, Jeffrey &rft.creator=Hulls, Justin &rft.creator=Flukes, Emma &rft.creator=Carnell, Paul &rft.creator=Dalby, Oliver &rft.creator=Cozens, Zoe &rft.date=2015&rft.coverage=-39.86742759751769,147.72615315223652 -39.85143030979776,147.73703629056638 -39.842503228228,147.75375327954225 -39.81975860818677,147.76655445807012 -39.79363227294749,147.7891968008703 -39.77781906115274,147.79221510908917 -39.756705272017825,147.81087122745407 -39.713810744358845,147.82649829116122 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Flukes, E. (2025). Imagery from BOSS and uBRUV drops for mapping the subtidal seagrass of Tayaritja (Furneaux group of islands), north-eastern Tasmania [Data set]. Institute for Marine and Antarctic Studies. https://doi.org/10.25959/WRXK-KV06&rft_rights=This dataset is hosted by the Institute for Marine and Antarctic Studies (IMAS), University of Tasmania, on behalf of NESP Marine and Coastal Hub Project 3.6.&rft_rights=Data was sourced from the NESP Marine and Coastal Hub – the Marine and Coastal Hub is supported through funding from the Australian Government’s National Environmental Science Program (NESP), administered by the Department of Climate Change, Energy, the Environment and Water.&rft_subject=biota&rft_subject=National Environmental Science Program (NESP) Marine and Coastal Hub&rft_subject=MARINE&rft_subject=BENTHIC&rft_subject=MARINE ECOSYSTEMS&rft_subject=SEAGRASS&rft_subject=MACROALGAE (SEAWEEDS)&rft.type=dataset&rft.language=English Access the data

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Creative Commons Attribution 4.0 International License
http://creativecommons.org/licenses/by/4.0/

Cite data as: Lucieer, V., Ierodiaconou, D., Sherman, C., Lyons, M., Monk, J., Wright, J., Hulls, J., & Flukes, E. (2025). Imagery from BOSS and uBRUV drops for mapping the subtidal seagrass of Tayaritja (Furneaux group of islands), north-eastern Tasmania [Data set]. Institute for Marine and Antarctic Studies. https://doi.org/10.25959/WRXK-KV06

This dataset is hosted by the Institute for Marine and Antarctic Studies (IMAS), University of Tasmania, on behalf of NESP Marine and Coastal Hub Project 3.6.

Data was sourced from the NESP Marine and Coastal Hub – the Marine and Coastal Hub is supported through funding from the Australian Government’s National Environmental Science Program (NESP), administered by the Department of Climate Change, Energy, the Environment and Water.

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Brief description

Seagrass beds are a dominant marine ecosystem of Tayaritja (the Furneaux Group of Islands) in the north-eastern waters off Tasmania. Historical coarse mapping has indicated extensive beds of Posidonia, Amphibolis, Heterozostera, and Zostera species, potentially comprising some of the largest and deepest seagrass extents found in temperate Australian waters. However, limited data on the distribution and ecological value of these seagrass habitats represents a significant knowledge gap in understanding Australia's wetland natural assets. This project mapped the extent, ecological composition, population structure, and blue carbon value of seagrass beds around Tayaritja, in partnership with the Tasmanian Aboriginal Centre. The study area focused on the coastal waters surrounding Flinders Island in the western Furneaux Group, with mapping extending from the high tide line to the depth limit of reliable optical detection (approximately 30 m), based on analysis of field data and satellite imagery capabilities in the region. The field validation component of this study involved deployment of benthic video platforms to capture imagery of seagrass beds and associated ecosystems. A field campaign deployed a Benthic Observation Survey System (BOSS) and unBaited Remote Underwater stereo-Video system (stereo-uBRUV) at approximately 400 locations to collect photoquadrats and validate remote sensing outputs. Imagery annotation was conducted in the SQUIDLE+ platform. See dataset https://doi.org/10.25959/e4s6-ge74 for habitat maps derived from field validation and remote sensing inputs. The approach developed through this study contributed to the creation of the NESP Standard Operating Procedure (SOP) for Seagrass Mapping using Optical Remote Sensing (https://sustainabledevelopmentreform.github.io/nesp-sop-seagrass-mapping).. See the "Lineage" section of this record for full methodology of field collection techniques.

Lineage

Maintenance and Update Frequency: none-planned

Statement: Field data collection followed the protocols outlined in Section 5 of the Seagrass Mapping SOP (https://sustainabledevelopmentreform.github.io/nesp-sop-seagrass-mapping/#5-training-data-collection-and-curation), utilising a statistically balanced sampling approach that maintained uniform sampling intensity while avoiding preference or exclusion of any areas. Two stereo-video platforms were used to ground-truth habitat data in this study: the unBaited Remote Underwater stereo-Video system (stereo-uBRUV) and the Benthic Observation Sampling System (BOSS). Stereo-uBRUVs are a widely accepted method for surveying benthic fish communities, consisting of a pair of horizontally-facing cameras mounted inside a trapezoidal frame, which is deployed to the seafloor, typically for a period of ~1 hour. The BOSS system (https://drop-camera-field-manual.github.io) is a newer platform designed for rapid assessment of benthic communities, capturing detailed benthic habitat information in a single 3-5 minute deployment. It uses four horizontally-facing cameras mounted at 90 degree angles and captures a ~270° downwards-facing view, generating high-resolution panoramic imagery of the seafloor. The CATAMI classification scheme was used for benthic feature labeling, with points annotated using the SQUIDLE+ platform (https://squidle.org). For both methods, additional metadata such as deployment location, water depth, date, and time were recorded. All deployments followed standard operating procedures outlined in the national marine sampling field manuals (https://marine-sampling-field-manual.github.io). All imagery is publicly accessible at SQUIDLE+: https://squidle.org/geodata/explore/img?filters={"campaign_ids":[967,1106,1138]} See 3.6 Case Study SOP (https://sustainabledevelopmentreform.github.io/nesp-sop-seagrass-mapping/case_study_NESP3.6/NESP_3.6_case_study.html) for code associated with

Notes

Credit
NESP Marine & Coastal Hub

Data time period: 2020-01-01 to 2023-12-31

This dataset is part of a larger collection

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Subjects

User Contributed Tags

Other Information

(DATA ACCESS - raw and processed BOSS annotated observation data)

uri : https://data.imas.utas.edu.au/attachments/8f3696d0-ae35-4d48-8a79-59121a5ae168/NESP_3-6_BOSS_annotations.zip External Link

Processing workflow that converts raw BOSS annotated observation data into a training and validation dataset suitable for classification/mapping. (R script for format standardisation of annotations)

uri : https://sustainabledevelopmentreform.github.io/nesp-sop-seagrass-mapping/case_study_NESP3.6/boss_raw_processing.R External Link

(View & explore mapping products in Seamap Australia)

uri : https://seamapaustralia.org/map/#cc774384-2ca2-4d28-9cc6-3f348b795185 External Link

(Standard Operating Procedure for Seagrass Mapping using Optical Remote Sensing: NESP 3.6 Case Study)

uri : https://sustainabledevelopmentreform.github.io/nesp-sop-seagrass-mapping/case_study_NESP3.6/NESP_3.6_case_study.html External Link

global : 436e10ed-3322-494c-93a3-3bdf3405c045

ror : 00arpt780

ror : 02czsnj07

ror : 03r8z3t63

ror : 00arpt780

ror : 02czsnj07

ror : 00arpt780

ror : 02czsnj07

Identifiers

global : 8f3696d0-ae35-4d48-8a79-59121a5ae168
DOI : 10.25959/WRXK-KV06