Data

Franklin and Zeehan Marine Park fine-scale seafloor substrate mapping

Name: Franklin and Zeehan Marine Park fine-scale seafloor substrate mapping
Published: 2025

Australian Ocean Data Network

Monk, Jacquomo ; Barrett, Neville ; Bastiaansen, Ashlee

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/JDWW-7M96&rft.title=Franklin and Zeehan Marine Park fine-scale seafloor substrate mapping&rft.identifier=10.25959/JDWW-7M96&rft.description=Fine-scale bathymetry mapping was conducted in the Franklin and Zeehan Australian Marine Parks (AMPs) located off the west coast of Tasmania, Australia. The primary objective of this mapping exercise was to map seafloor features of the shelf areas of these AMPs for the first time and to understand the distribution of benthic habitats and key sessile invertebrate species within these areas. Characterisation of the seafloor was undertaken in two phases. The first stage used multibeam sonar to comprehensively map the study areas, extracting bathymetry and backscatter products. This was followed by extensive ground validation undertaken by a panoramic stereo drop-camera system that also recorded the presence of dominant sessile invertebrate fauna as well as benthic/demersal fish species. This record describes and provides data access to the fine-scale substratum mapping extracted from the combination of multibeam bathymetry and video ground-truthing data. Access to the (1) bathymetry survey data; and (2) annotated seafloor imagery, are provided through the 'Download and Links' section of this record.Maintenance and Update Frequency: notPlannedStatement: 𝗠𝘂𝗹𝘁𝗶𝗯𝗲𝗮𝗺 𝘀𝗼𝗻𝗮𝗿 𝗮𝗻𝗱 𝗰𝗼𝘃𝗮𝗿𝗶𝗮𝘁𝗲𝘀 Multibeam echosounder bathymetry (MBES) and backscatter were acquired by CSIRO and IMAS from the UTAS vessel Bluefin in Feb-Mar 2022. The entire Zeehan MP was mapped to the shelf break, overlapping prior CSIRO mapping of the upper slope and shelf crest. Approximately 50% of the Franklin MP was mapped before bad weather prevented completion of the survey. Bathymetry data was processed by at 2 metre resolution. 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗱 𝗲𝘅𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻 𝗼𝗳 𝘀𝘂𝗯𝘀𝘁𝗿𝗮𝘁𝗲 𝗰𝗹𝗮𝘀𝘀𝗲𝘀 Habitat models were developed using terrain and backscatter variables derived from the MBES data. The ArcGIS packages ‘Spatial Analyst' and ‘Benthic Terrain Modeller’, and R ‘WhiteBoxTools’ were used. 𝗗𝗿𝗼𝗽 𝗰𝗮𝗺𝗲𝗿𝗮 𝘃𝗮𝗹𝗶𝗱𝗮𝘁𝗶𝗼𝗻 For validation of the automated substrata classification, ~300 spatially balanced drop camera deployments (BOSS) were deployed per park, focusing on high-relief areas. A five-camera system (four oblique, one vertical) recorded 5-minute videos at each site using GoPro Hero 9 cameras to allow for observations of associated benthic/demersal fish. Still frames were annotated using 20-point overlays in the lower frame, applying the CATAMI scheme. Substrate types were grouped into three Seamap Australia (https://vocabs.ardc.edu.au/viewById/129) substratum classes: (1) Hard – 100% consolidated reef (2) Mixed – combination of hard and soft (3) Soft – unconsolidated sediment without visible epibenthos 𝗦𝘂𝗯𝘀𝘁𝗿𝗮𝘁𝗲 𝗺𝗼𝗱𝗲𝗹𝗹𝗶𝗻𝗴 Random Forest models were implemented in R (RandomForest package), using 60:40 training:test data splits. • Franklin MP: 1000 trees, 10-node size, max 5 features/split • Zeehan MP: 4 trees, 10-node size, max 1 feature/split Model accuracy was assessed using 10-fold cross-validation: • Franklin MP: 71% overall accuracy, kappa = 0.55 • Zeehan MP: 71% overall accuracy, kappa = 0.47 𝗙𝗶𝗻𝗮𝗹 𝗱𝗮𝘁𝗮 𝗽𝗿𝗲𝗽𝗮𝗿𝗮𝘁𝗶𝗼𝗻 For publication, depth thresholds of 30-70 m and 70-200 m were then applied to the model to split reef habitats into mesophotic and rariphotic reefs, respectively, following Parks Australia’s Natural Value Ecosystems classification (Hayes et al. 2021).&rft.creator=Monk, Jacquomo &rft.creator=Barrett, Neville &rft.creator=Bastiaansen, Ashlee &rft.date=2025&rft.coverage=westlimit=143.18; southlimit=-39.96; eastlimit=143.68; northlimit=-39.78&rft.coverage=westlimit=143.18; southlimit=-39.96; eastlimit=143.68; northlimit=-39.78&rft.coverage=westlimit=144.14; southlimit=-41.003; eastlimit=144.40; northlimit=-40.523&rft.coverage=westlimit=144.14; southlimit=-41.003; eastlimit=144.40; northlimit=-40.523&rft.coverage=uplimit=260; downlimit=35&rft.coverage=uplimit=260; downlimit=35&rft_rights=Creative Commons Attribution 4.0 International License https://creativecommons.org/licenses/by/4.0/&rft_rights=Cite data as: Monk, J., Barrett, N., & Bastiaansen, A. (2023). Franklin and Zeehan Marine Park fine-scale seafloor substrate mapping [Data set]. Institute for Marine and Antarctic Studies. https://doi.org/10.25959/JDWW-7M96&rft_rights=Please also cite the associated project report when using this data: Barrett, Neville; Monk, Jacquomo; Bastiaansen, Ashlee (2023). Franklin and Zeehan Marine Park Multibeam mapping and drop-camera validation for Parks Australia. University of Tasmania. Report. https://doi.org/10.25959/24719955.v1&rft_subject=geoscientificInformation&rft_subject=Habitat mapping&rft_subject=Substrate classification&rft_subject=Multibeam sonar&rft_subject=Marine Parks&rft_subject=BF2022_v01&rft_subject=BATHYMETRY/SEAFLOOR TOPOGRAPHY&rft_subject=EARTH SCIENCE&rft_subject=OCEANS&rft_subject=BATHYMETRY&rft_subject=BENTHIC&rft.type=dataset&rft.language=English Access the data

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Creative Commons Attribution 4.0 International License
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Cite data as: Monk, J., Barrett, N., & Bastiaansen, A. (2023). Franklin and Zeehan Marine Park fine-scale seafloor substrate mapping [Data set]. Institute for Marine and Antarctic Studies. https://doi.org/10.25959/JDWW-7M96

Please also cite the associated project report when using this data: Barrett, Neville; Monk, Jacquomo; Bastiaansen, Ashlee (2023). Franklin and Zeehan Marine Park Multibeam mapping and drop-camera validation for Parks Australia. University of Tasmania. Report. https://doi.org/10.25959/24719955.v1

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Brief description

Fine-scale bathymetry mapping was conducted in the Franklin and Zeehan Australian Marine Parks (AMPs) located off the west coast of Tasmania, Australia. The primary objective of this mapping exercise was to map seafloor features of the shelf areas of these AMPs for the first time and to understand the distribution of benthic habitats and key sessile invertebrate species within these areas. Characterisation of the seafloor was undertaken in two phases. The first stage used multibeam sonar to comprehensively map the study areas, extracting bathymetry and backscatter products. This was followed by extensive ground validation undertaken by a panoramic stereo drop-camera system that also recorded the presence of dominant sessile invertebrate fauna as well as benthic/demersal fish species. This record describes and provides data access to the fine-scale substratum mapping extracted from the combination of multibeam bathymetry and video ground-truthing data. Access to the (1) bathymetry survey data; and (2) annotated seafloor imagery, are provided through the 'Download and Links' section of this record.

Lineage

Maintenance and Update Frequency: notPlanned

Statement: 𝗠𝘂𝗹𝘁𝗶𝗯𝗲𝗮𝗺 𝘀𝗼𝗻𝗮𝗿 𝗮𝗻𝗱 𝗰𝗼𝘃𝗮𝗿𝗶𝗮𝘁𝗲𝘀 Multibeam echosounder bathymetry (MBES) and backscatter were acquired by CSIRO and IMAS from the UTAS vessel Bluefin in Feb-Mar 2022. The entire Zeehan MP was mapped to the shelf break, overlapping prior CSIRO mapping of the upper slope and shelf crest. Approximately 50% of the Franklin MP was mapped before bad weather prevented completion of the survey. Bathymetry data was processed by at 2 metre resolution. 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗱 𝗲𝘅𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻 𝗼𝗳 𝘀𝘂𝗯𝘀𝘁𝗿𝗮𝘁𝗲 𝗰𝗹𝗮𝘀𝘀𝗲𝘀 Habitat models were developed using terrain and backscatter variables derived from the MBES data. The ArcGIS packages ‘Spatial Analyst' and ‘Benthic Terrain Modeller’, and R ‘WhiteBoxTools’ were used. 𝗗𝗿𝗼𝗽 𝗰𝗮𝗺𝗲𝗿𝗮 𝘃𝗮𝗹𝗶𝗱𝗮𝘁𝗶𝗼𝗻 For validation of the automated substrata classification, ~300 spatially balanced drop camera deployments (BOSS) were deployed per park, focusing on high-relief areas. A five-camera system (four oblique, one vertical) recorded 5-minute videos at each site using GoPro Hero 9 cameras to allow for observations of associated benthic/demersal fish. Still frames were annotated using 20-point overlays in the lower frame, applying the CATAMI scheme. Substrate types were grouped into three Seamap Australia (https://vocabs.ardc.edu.au/viewById/129) substratum classes: (1) Hard – 100% consolidated reef (2) Mixed – combination of hard and soft (3) Soft – unconsolidated sediment without visible epibenthos 𝗦𝘂𝗯𝘀𝘁𝗿𝗮𝘁𝗲 𝗺𝗼𝗱𝗲𝗹𝗹𝗶𝗻𝗴 Random Forest models were implemented in R (RandomForest package), using 60:40 training:test data splits. • Franklin MP: 1000 trees, 10-node size, max 5 features/split • Zeehan MP: 4 trees, 10-node size, max 1 feature/split Model accuracy was assessed using 10-fold cross-validation: • Franklin MP: 71% overall accuracy, kappa = 0.55 • Zeehan MP: 71% overall accuracy, kappa = 0.47 𝗙𝗶𝗻𝗮𝗹 𝗱𝗮𝘁𝗮 𝗽𝗿𝗲𝗽𝗮𝗿𝗮𝘁𝗶𝗼𝗻 For publication, depth thresholds of 30-70 m and 70-200 m were then applied to the model to split reef habitats into mesophotic and rariphotic reefs, respectively, following Parks Australia’s Natural Value Ecosystems classification (Hayes et al. 2021).

Notes

Credit
Director of National Parks (Parks Australia), Institute for Marine and Antarctic Studies

Issued: 02 07 2025

Data time period: 2022-02-28 to 2022-03-21

This dataset is part of a larger collection

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text: westlimit=143.18; southlimit=-39.96; eastlimit=143.68; northlimit=-39.78

text: westlimit=144.14; southlimit=-41.003; eastlimit=144.40; northlimit=-40.523

text: uplimit=260; downlimit=35

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Other Information

(DATA ACCESS - Zeehan & Franklin Marine Parks fine-scale substrate mapping [browse files for download])

uri : https://data.imas.utas.edu.au/attachments/6eb8ab22-6ba4-4c5a-8454-73e279f751f0 External Link

Barrett, Neville; Monk, Jacquomo; Bastiaansen, Ashlee (2023). Franklin and Zeehan Marine Park Multibeam mapping and drop-camera validation for Parks Australia. University of Tasmania. Report. https://doi.org/10.25959/24719955.v1 (Final Project Report)

doi : https://doi.org/10.25959/24719955.v1 DOI Link

global : 4739e4b0-4dba-4ec5-b658-02c09f27ab9a

ror : 00arpt780

Identifiers

DOI : 10.25959/JDWW-7M96
global : 6eb8ab22-6ba4-4c5a-8454-73e279f751f0