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Full description
The Australian Seagrass Aggregated Data Product harmonises disparate seagrass datasets from providers across Australia into a single, standardised resource suitable for ecological assessment, long-term monitoring and habitat modelling.Seagrass observations across contributing datasets were acquired using a combination of direct field surveys and in water observational methods, selected according to site accessibility, water clarity and survey objectives. Intertidal meadows were commonly mapped using on foot low tide surveys, with observers delineating meadow boundaries and recording species presence using handheld GNSS units. Shallow subtidal and nearshore habitats were assessed through boat based transects, snorkel and photo quadrat surveys, supplemented in some state monitoring programs by underwater video, differential global positioning system (DGPS), bathyscope observations, and side scan sonar to verify habitat boundaries and species occurrence.
Repeat aerial and satellite remote sensing surveys provided comprehensive spatial coverage for regional and long term mapping programs. Many legacy datasets, including NSW estuarine macrophytes and the Cockburn Sound historical time series, were derived from purpose flown aerial photography acquired under optimal water clarity conditions and subsequently digitised or classified into habitat polygons with field based validation. More recent datasets incorporated UAV (drone) orthomosaics to produce centimetre scale mapping of shallow reef flat meadows, alongside high resolution multispectral satellite imagery (WorldView 2, IKONOS and QuickBird 2) and medium resolution PlanetScope imagery to model seagrass distribution, species composition and biomass across broader spatial extents.
Source data were contributed by institutions including the Institute for Marine and Antarctic Studies (IMAS), James Cook University’s Centre for Tropical Water and Aquatic Research (TropWATER), state government agencies in New South Wales, Queensland, Western Australia, South Australia, Victoria, Northern Territory and Tasmania, and research organisations including CSIRO, The Australian Institute of Marine Science (AIMS), The University of Western Australia (UWA) and The University of Queensland (UQ). Data was accessed primarily through Seamap Australia’s GeoServer infrastructure and institutional repositories.
The geographic coverage spans the full extent of Australian coastal waters, with particularly dense data coverage in the Great Barrier Reef, Torres Strait, Gulf of Carpentaria, Hervey Bay, Moreton Bay, Cockburn Sound, and temperate southern coastlines including Tasmania and Victoria. The product records presence and absence of 13 seagrass species, including Cymodocea rotundata, C. serrulata, Enhalus acoroides, Halophila capricornia, H. decipiens, H. ovalis, H. spinulosa, H. tricostata, Halodule uninervis, Syringodium isoetifolium, Thalassodendron ciliatum, Thalassia hemprichii and Zostera muelleri subsp. capricorni.
Source datasets differ widely in schema, geometry formats, temporal encodings, and species representations. All inputs are validated, normalised, All taxa have been mapped to the Codes for Australian Aquatic Biota (CAAB, 2024) controlled vocabulary and aligned with the World Register of Marine Species (WoRMS) taxonomy and transformed into a unified long‑format Parquet dataset. Each record is tagged with enhanced metadata, including links to Australian Marine Parks and Commonwealth marine regions, along with a H3 spatial index (resolution 15, ~1m2) to support subsetting and temporal/spatial analysis.
Lineage
Maintenance and Update Frequency: asNeeded
Statement: Data Ingestion Workflow
The Seagrass Aggregated Data Product is generated using a two‑stage Extract–Transform–Load (ETL) workflow designed to harmonise numerous seagrass mapping and survey datasets from across Australia into a single, standardised, analysis‑ready dataset.
Data Extraction
Source datasets were obtained from a wide range of contributors including IMAS, JCU, NESP, state government agencies, and research partners. Most datasets were accessed as static exports from institutional geoservers, with planned migration to dynamic API‑based access in future iterations. Each dataset was inspected to identify its native schema, date conventions, spatial geometry format, and species encoding.
Schema Validation and Standardisation
Because the contributing datasets differ substantially in structure, naming conventions, biological attributes, temporal encoding and spatial formats, each dataset is validated against its own custom schema. A minimum set of required fields—representing when, where, and what (date, location, species)—is enforced. Spatial information is typically supplied as WKT geometry in EPSG:4326, and species information may be supplied either as comma‑delimited lists or one‑hot encoded fields.
Data Transformation
A bespoke transformation pipeline is applied to each dataset to map it into a harmonised intermediate schema. Typical steps include:
• Geometry extraction: WKT geometries are parsed to obtain centroid latitude and longitude. Where no geometry field exists, separate latitude/longitude fields are used.
• Date normalisation: Dates are converted to ISO‑compliant components (year, month, day). Non‑standard or ambiguous date formats are manually mapped to consistent representations.
• Species harmonisation: Species presence/absence is standardised by:
o decoding delimited or one‑hot species encodings,
o mapping species names to the Codes for Australian Aquatic Biota (CAAB) controlled vocabulary,
o resolving “sp.” or “spp.” to the appropriate parent taxon,
o aligning all taxa with the corresponding scientific name, AphiaID, rank and status using the WoRMS taxonomy.
After these transformations, each dataset is validated against the harmonised schema to ensure consistency of types, naming conventions, and biological attributes.
Aggregation and Post‑processing
All harmonised datasets are vertically combined into a single aggregated table. The intermediate data (maintained in wide format for species decoding) is pivoted into long format, with one record per species observation. Additional attributes—including H3 spatial indices and Australian Marine Regions tags—are assigned via spatial overlay.
The final long‑format dataset is validated against the product‑wide schema, ensuring consistent interpretation of temporal, spatial, and biological fields across all contributing datasets.
Loading and Publication
The aggregated dataset is exported as a Parquet file and loaded to cloud storage for distribution. The use of modern columnar formats significantly reduces storage requirements and improves access performance for analysis workflows.
Update Schedule
The underlying seagrass datasets are static, so there is no structured update schedule. However the ETL pipeline will be executed as new datasets become available for integration.
Advantages of the Workflow
The ETL process ensures:
• Reproducibility of all data harmonisation steps
• Harmonised biological, spatial and temporal attributes across disparate source datasets
• Efficiency in storage and processing through Parquet and scheduled updates
• Improved usability for researchers by providing a unified, analysis‑ready seagrass dataset
Statement: Datasets ingested from Seamap Australia
Please see the seagrass spreadsheet (link in distribution) for the following information about each individual dataset
- Metadata title
- Dataset Contact
- Name
- Organisation
- Role/Title
- Email address
- Licence
- Metadata record URL - Point of Truth
- Metadata record URL - re-hosted by Seamap Australia
- Point of Truth Citation
Notes
CreditSource data provided by Seamap Australia - Contribution of source datasets from the following providers: National: Australian Institute of Marine Science (AIMS); CSIRO; Geoscience Australia (GA); National Environmental Science Program (NESP); PTTEP Australasia; The Nature Conservancy (TNC). Northern Territory: Charles Darwin University (CDU); Department of Environment and Natural Resources (DENR), Northern Territory; Government; Department of Environment, Parks and Water Security (NEPWS), Northern Territory Government; Department of Land Resource Management (DLRM), Northern Territory Government. New South Wales: Department of Primary Industries (DPI), New South Wales Government; Office of Environment and Heritage (OEH), New South Wales Government. Queensland: Department of National Parks, Sport and Racing (DNPSR), Queensland Government; Department of Natural Resources and Mines (DNRM), Queensland Government; Department of Primary Industries (DPI), Queensland Government; Environmental Protection Agency (EPA), Queensland Government; Department of Resources (DoR), Queensland Government; Great Barrier Reef Marine Park Authority (GBRMPA); Griffith University (GU); James Cook University (JCU); UniDive (The University of Queensland Underwater Club); University of Queensland (UQ). South Australia: Department for Environment and Water (DEW), South Australian Government. Tasmania: Marine Solutions; Seacare Inc; University of Tasmania (UTAS); Tasmanian Aquaculture and Fisheries Institute (TAFI). Victoria: Deakin University (DU); Department of Environment, Land, Water and Planning (DELWP), Victorian Government. Western Australia: Department of Environment Regulation (DER), Western Australia Government; Department of Parks and Wildlife (DPAW), Western Australian Government; Department of Water (DoW), Western Australian Government; University of Western Australia (UWA); Western Australian Marine Science Institution (WAMSI). External Territories: EOMAP Pty Ltd; Ocean Infinity; Pendoley Environment Pty Ltd; Parks Australia.
Credit
Source data - collated for AODN aggregation purposes by Emma Flukes (originally sourced as part of Seamap Australia)
Source data - collated for AODN aggregation purposes by Emma Flukes (originally sourced as part of Seamap Australia)
Credit
Australia's Integrated Marine Observing System (IMOS) is enabled by the National Collaborative Research Infrastructure Strategy (NCRIS). It is operated by a consortium of institutions as an unincorporated joint venture, with the University of Tasmania as Lead Agent.
Australia's Integrated Marine Observing System (IMOS) is enabled by the National Collaborative Research Infrastructure Strategy (NCRIS). It is operated by a consortium of institutions as an unincorporated joint venture, with the University of Tasmania as Lead Agent.
Credit
The data collection described in this record was funded by the Australian Government Department of Climate Change, the Environment, Energy & Water (DCCEEW) through the NESP Marine and Coastal Hub. In addition to NESP (DCCEEW) funding, this project was supported by an equivalent amount of in-kind support and co-investment from project partners and collaborators.
The data collection described in this record was funded by the Australian Government Department of Climate Change, the Environment, Energy & Water (DCCEEW) through the NESP Marine and Coastal Hub. In addition to NESP (DCCEEW) funding, this project was supported by an equivalent amount of in-kind support and co-investment from project partners and collaborators.
Credit
National Environmental Science Program (NESP) Marine and Coastal Hub
National Environmental Science Program (NESP) Marine and Coastal Hub
Credit
Seamap Australia
Seamap Australia
Created: 23 03 2026
Data time period: 1967-01-01 to 2024-12-31
text: westlimit=114.994; southlimit=-40.581; eastlimit=153.602; northlimit=-9.139
Subjects
ANTHROPOGENIC/HUMAN INFLUENCED ECOSYSTEMS |
AQUATIC ECOSYSTEMS |
Amphibolis antarctica |
Amphibolis griffithii |
Amphibolis sp. |
BENTHIC |
Biotic taxonomic identification |
COASTAL |
Countries | Australia |
Countries | Indonesia |
Countries | Papua New Guinea |
Countries | Timor-Leste |
Cymodocea rotundata |
Cymodocea serrulata |
ECOLOGICAL DYNAMICS |
Enhalus acoroides |
Global / Oceans | Indian Ocean |
Global / Oceans | Pacific Ocean |
Global / Oceans | Southern Ocean |
Halodule uninervis |
Halophila australis |
Halophila capricornia |
Halophila decipiens |
Halophila ovalis |
Halophila sp. |
Halophila spinulosa |
Halophila tricostata |
Heterozostera tasmanica |
Lepilaena marina |
MARINE |
MARINE ENVIRONMENT MONITORING |
Marine Features (Australia) | Bass Strait, TAS/VIC |
Marine Features (Australia) | Great Australian Bight, SA/WA |
Marine Features (Australia) | Great Barrier Reef, QLD |
Marine Features (Australia) | Gulf of Carpentaria, NT/QLD |
Marine Features (Australia) | Torres Strait, QLD |
Posidonia australis |
Posidonia coriacea |
Posidonia sinuosa |
Posidonia sp. |
Regional Seas | Arafura Sea |
Regional Seas | Coral Sea |
Regional Seas | Tasman Sea |
Regional Seas | Timor Sea |
Ruppia megacarpa |
Ruppia sp. |
SAV/SEA GRASS BED |
SEAGRASS |
States, Territories (Australia) | New South Wales |
States, Territories (Australia) | Northern Territory |
States, Territories (Australia) | Queensland |
States, Territories (Australia) | South Australia |
States, Territories (Australia) | Tasmania |
States, Territories (Australia) | Victoria |
States, Territories (Australia) | Western Australia |
Syringodium isoetifolium |
Thalassia hemprichii |
Thalassodendron ciliatum |
Tracheophyta sp. |
Zostera capricorni |
Zostera muelleri |
Zostera muelleri subsp. capricorni |
Zostera sp. |
aeroplane |
biota |
climatologyMeteorologyAtmosphere |
diver |
environment |
geostationary orbiting satellite |
human |
location |
oceans |
orbiting satellite |
research aeroplane |
research vessel |
small boat |
User Contributed Tags
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Other Information
(Seamap Australia webpage)
url :
https://seamapaustralia.org/
(Seamap Australia Scientic Data paper)
doi :
https://doi.org/10.1038/s41597-019-0126-2
(View and download data though the AODN Portal)
url :
https://portal.aodn.org.au/search?uuid=009a1131-efc1-4a61-8f90-cf289e7c043d
(Access To AWS Open Data Program registry for the Cloud Optimised version of this dataset (link to be added))
url :
https://registry.opendata.aws/
(Data files via Amazon Web Services S3 storage - download link (full dataset))
(Data files accessible via Amazon S3 (public access, S3 URI))
local : s3://data-uplift-public/stored/datauplift/seagrass/seagrass.parquet
(Access to Jupyter notebook to query Cloud Optimised converted dataset)
url :
https://github.com/aodn/imos-user-code-library/blob/master/NESP/seagrass.ipynb
(Access to R Markdown notebook to query Cloud Optimised converted dataset)
url :
https://github.com/aodn/imos-user-code-library/blob/master/NESP/seagrass.Rmd
(Video tutorials demonstrating the use of the associated Python Jupyter notebook)
url :
https://youtube.com/playlist?list=PLHCEbETnUz5xPhlXg7XdIQ_JOhDziU3KF&si=OnnpW3ulZKxQQcaD
(Video tutorials demonstrating the use of the associated R notebook)
url :
https://youtube.com/playlist?list=PLHCEbETnUz5wZHO0mVxThwhw8_UQIziG5&si=TuJtDfHeEaOkn-gb
(Technical description of product)
url :
https://content.aodn.org.au/Documents/IMOS/Data_product/Seagrass_v1.0.pdf
(Source metadata)
url :
https://content.aodn.org.au/Documents/IMOS/Data_product/Seagrass_source_metadata.csv
global : aeb0afce-7fc7-4d48-91fc-f7b8e730073c
local : 010x3gp67
local : 010x3gp67
NESP MaC Project 5.9 – Making marine environmental data more assessment ready, 2025 (UTAS, IMOS)
doi :
10.82210/a44c9c1d
Identifiers
- global : 009a1131-efc1-4a61-8f90-cf289e7c043d
