Recent datasets

This record provides an overview of the NESP Marine and Coastal Hub Project 'A toolkit for ranger-led seagrass monitoring in northern Australia Sea Country'. For specific data outputs from this project, please see child records associated with this metadata. Monitoring of key habitats is increasingly being led by Indigenous Ranger groups. It is important that this information, across the whole of northern Australia, is collected in a reliable and consistent manner.

This record provides an overview of the NESP Marine and Coastal Hub Project ' Innovations To Support Crown-Of-Thorns Starfish Control and the Resilience of the Great Barrier Reef'. For specific data outputs from this project, please see child records associated with this metadata. The Great Barrier Reef (GBR) faces increasing threats from climate-induced mass bleaching, cyclones, and Crown-Of-Thorns Starfish (COTS).

This record provides an overview of the NESP Marine and Coastal Hub project Mapping Sea Country and investigating conservation and restoration opportunities along the Kakadu coast and Garig Gunak Barlu National Park. For specific data outputs from this project, please see child records associated with this metadata. This project addresses the need for contemporary biodiversity and habitat data in the Garig Gunak Barlu National Park (Cobourg Peninsula) and coastal Kakadu National Park, essential for effective Sea Country planning and management.

This dataset consists of shapefiles for coral atoll platforms, coral reefs, coral cays, shallow depth contours (5 m and 20 m) and names for the Coral Sea region. The primary purpose of this dataset is to support management of the Coral Sea Marine Park, academic research and the creation of maps for the region. This dataset was created by manually digitising features from composite satellite imagery (Sentinel-2 and Landsat 8/9), cross-referenced against bathymetry datasets and marine charts.

This dataset is a set of raster tidal statistics for the Australian region at a 1/32 degree resolution derived from the EOT20 global tidal model. This dataset provides rasters for Lowest Predicted Tide (LPT), Highest Predicted Tide (HPT), Mean Low Spring Water (MLSW), Mean High Spring Water (MHSW), tidal range (HPT-LPT), tidal percentiles (1, 2, 5, 10, 20, 50, 80, 90, 95, 98, 99) and monthly climatologies (median over all simulated years for a given month) of LPT, Mean, and HPT.

This dataset consists of three Excel files containing multiple worksheets of data from a monitoring period starting in July 2023 and ending in April 2024, along with a set of three technical reports containing the monitoring methodology and findings generated from these datasets. The datasets capture water quality and hydrological data from a constructed wetland in Tully, within the Wet Tropics region of Queensland, Australia.

This dataset consists of satellite imagery across northern Australia from 2003 to 2023, along with spatial files of the peak flood plume events from each wet season over that time. It covers the regions of the Flinders and Gilbert River outflows in the Gulf of Carpentaria, and the Daly River outflow in the Timor Sea (Anson Bay). It contains climate precipitation projections for both regions. Northern Australia is notable for its expansive river catchments, which represent vital components of the region's hydrological and ecological systems.

The study focused on the impacts of catchment development on estuaries. Our previous NESP NAER study showed that for three rivers in the Gulf, nutrient addition to intertidal mudflat cores stimulated production and by inference, a reduction in nutrients,e.g. increased extraction of water, would negatively impact primary production. The current study expanded this further to examine additional estuaries in northern Australia, i.e.

This dataset summarises subtidal benthic surveys in Yanyuwa Sea Country into 3 GIS shapefiles. (1) A point (site) shapefile describes seagrass presence/absence at 849 subtidal sites surveyed by vessel. (2) The meadow shapefile describes attributes of 46 subtidal seagrass meadows. (3) The interpolation shapefile describes variation in subtidal seagrass biomass across the seagrass meadows.

This dataset summarises benthic habitat and fish surveys in West Cape York, including the West Cape York Marine Park (Commonwealth), southern Dugong Sanctuary, Angkamuthi and Kaurareg Sea Country into 2 GIS shapefiles. (1) A point (site) shapefile showing point location of 407 habitat survey sites. (2) A point (site) shapefile showing point location of BRUV (baited remote underwater video) deployments to survey fish at 42 sites. The full report is: Carter A, Groom R, Smith T, Shepherd L, van de Wetering C and Willan R (2023).

This dataset contains the spatial analysis workflow, data derived from the spatial analysis, and R code to identify the blue carbon restoration opportunity in three case study regions in Australia: 1) Fitzroy Basin, QLD; 2) Peel-Harvey and northern part of South West Catchments, WA; and 3) Ord River, WA.

This dataset summarises intertidal benthic surveys of Dungeness Reef, Torres Strait in February 2021 into 3 GIS shapefiles. (1) The site shapefile describes (a) seagrass presence/absence and (b) species composition at 128 sites. (2) The meadow shapefile describes seagrass communities for the reef-top meadow. (3) The interpolation shapefile describes variation in seagrass biomass across sites in the meadow.

This dataset consists of one data file (spreadsheet) of outcomes from a national scale survey of practitioners and researchers working in marine and coastal ecosystem restoration. For privacy reasons the data are aggregated and presented as summary data. Long form responses have been checked to ensure that respondents are not identifiable. The survey was open for response November 8th 2021 – November 29th 2021 and had 129 valid responses.

This dataset contains cloud free, low tide composite satellite images for the tropical Australia region based on 10 m resolution Sentinel 2 imagery from 2018 – 2023. This image collection was created as part of the NESP MaC 3.17 project and is intended to allow mapping of the reef features in tropical Australia. This collection contains composite imagery for 200 Sentinel 2 tiles around the tropical Australian coast. This dataset uses two styles: 1. a true colour contrast and colour enhancement style (TrueColour) using the bands B2 (blue), B3 (green), and B4 (red) 2.

This code repository and dataset details a method for determining benthic reflectance from a combination of satellite imagery and bathymetry. Its key benefit is that it can map benthic reflectance up to 50 - 60 m in depth in clear waters, when using Sentinel 2 B2 channel combined with matching bathymetry data. Benthic reflectance is a measure of how much light the seafloor reflects and is useful for distinguishing areas that are sand (high reflectance) or vegetation such as seagrass, algae and coral (low reflectance).

This dataset compiles georeferenced media - including videos (480), articles (20), and datasets (6) - specifically curated to facilitate the understanding of reef habitats across northern Australia. It was designed as a research tool for virtual fieldwork with a particular focus on identifying sources of information that allow an understanding of both inshore and offshore reef environments. This dataset provides a record of the literature and media that was reviewed as part of mapping the reef boundaries from remote sensing as part of project NESP MaC 3.17.

This dataset contains maps of alluvial and hillslope gullies across blocks of lidar covering portions of the Burdekin Catchment. This project is an expansion of the detailed gully mapping and assessment undertaken previously as part of NESP TWQ Project 5.10 (Daley et al., 2021), using newly available lidar as well as some older data not previously used. The gully polygons were generated using methods developed in the NESP TWQ 5.10 project for the extraction of gullies from lidar. Lidar is detailed topographic data collected from aircraft using an airborne laser scanning system.

This dataset is a vector shapefile mapping the deep submerged aquatic vegetation on the bottom of the coral atoll lagoons in the Coral Sea within the Australian EEZ. This mapped vegetation predominantly corresponds to erect macroalgae, erect calcifying algae and filamentous algae (Tol, et al., 2023), with an average algae benthic cover of approximately 30 - 40%. This corresponds to only vegetation occurring on the soft sediment of the lagoons. This dataset was mapped from contrast enhanced Sentinel 2 composite imagery (Lawrey and Hammerton, 2022).

This dataset consists of collections of satellite image composites (Sentinel 2 and Landsat 8) that are created from manually curated image dates for a range of projects. These images are typically prepared for subsequent analysis or testing of analysis algorithms as part of other projects. This dataset acts as a repository of reproducible test sets of images processed from Google Earth Engine using a standardised workflow.

This dataset is true colour cloud-free composite satellite imagery optimised for mapping shallow marine habitats in northern Australia, based on 10-meter resolution Sentinel 2 data collected from 2015 to 2024. It contains composite imagery for 333 Sentinel 2 tiles of northern Australia and the Great Barrier Reef. This dataset offers improved visual clarity of shallow water features as compared to existing satellite imagery, allowing deeper marine features to be observed.