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  • 2020-2024  (8)
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  • 1
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    How Much Shallow Coral Habitat Is There on the Great Barrier Reef? (2021)
    Molecular Diversity Preservation International
    Details
    Publication Date: 2021-10-28
    Description: Australia’s Great Barrier Reef (GBR) is a globally unique and precious national resource; however, the geomorphic and benthic composition and the extent of coral habitat per reef are greatly understudied. However, this is critical to understand the spatial extent of disturbance impacts and recovery potential. This study characterizes and quantifies coral habitat based on depth, geomorphic and benthic composition maps of more than 2164 shallow offshore GBR reefs. The mapping approach combined a Sentinel-2 satellite surface reflectance image mosaic and derived depth, wave climate, reef slope and field data in a random-forest machine learning and object-based protocol. Area calculations, for the first time, incorporated the 3D characteristic of the reef surface above 20 m. Geomorphic zonation maps (0–20 m) provided a reef extent estimate of 28,261 km2 (a 31% increase to current estimates), while benthic composition maps (0–10 m) estimated that ~10,600 km2 of reef area (~57% of shallow offshore reef area) was covered by hard substrate suitable for coral growth, the first estimate of potential coral habitat based on substrate availability. Our high-resolution maps provide valuable information for future monitoring and ecological modeling studies and constitute key tools for supporting the management, conservation and restoration efforts of the GBR.
    Electronic ISSN: 2072-4292
    Topics: Architecture, Civil Engineering, Surveying , Geography
    Published by Molecular Diversity Preservation International
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    PAPER CURRENT
  • 2
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    Geomorphic zonation and dominant benthic cover type maps for on the shallow offshore reefs of the Cairns to Cooktown Management area of the Great Barrier Reef, Australia (GBRF, UQ) (2020)
    PANGAEA
    Details
    Publication Date: 2024-04-20
    Description: The aim of this study was to create detailed geomorphic zonation and dominant benthic cover type maps of the shallow offshore reefs in the Cairns to Cooktown management area of the Great Barrier Reef. Maps such as these do not exist for the Great Barrier Reef, but would provide an invaluable resource for management agencies. The maps display the geomorphic zonation and dominant benthic cover type. Membership rules for object classification were based on OBIA rules, geomorphic zonation and expert knowledge/field data. It is important to note that the imagery used for the mapping process had a resolution of 15 m x 15 m, which would likely not capture the spatial variability of the benthic categories mapped. This dataset consists of shapefiles and auxiliary files for each of the geomorphic zonation and dominant benthic cover types on the shallow offshore reefs of the Cairns to Cooktown Management area of the Great Barrier Reef, Australia.
    Keywords: benthic community; Coral Reef; GBR; Geomorphic Zone; Great_Barrier_Reef; Great Barrier Reef, Australia; Habitat Map; Multispectral Image Data; Object Based Image Analysis; photoquadrat; Reef Type; remote sensing; satellite data; Satellite derived depth; waves
    Type: Dataset
    Format: application/zip, 4 MBytes
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    DATA PANGAEA
  • 3
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    Seagrass cover map for the optically complex waters of Moreton Bay, Queensland, Australia (2015) XXX (2021)
    PANGAEA
    Details
    Publication Date: 2024-04-20
    Description: The aim of this study was to create a seagrass presence/absence map for the optically complex waters of Moreton Bay. The capability to map seagrass meadows in waters of varying clarity using a consistent and repeatable method is an invaluable resource for conservation and management of seagrass regionally and globally. The map was created using an adaptation of a Google Earth Engine (GEE) cloud processing and machine learning algorithm which for seagrass, utilized citizen science spot check field data, Landsat 8 OLI imagery pulled directly from GEE, a bathymetry layer (30 m), slope derived from depth and a coral mask. This dataset consists of a shapefile that shows seagrass presence (≥ 25 % cover) and substrate mapped simultaneously for the turbid waters of the Western Bay coastline and the optically clear waters of the Eastern Banks, Moreton Bay, Queensland, Australia.
    Keywords: benthic community; citizen science field data; Google Earth Engine; Moreton_Bay; Moreton Bay; Moreton Bay, Brisbane, South East Queensland, Coral Sea, Australia; remote sensing; satellite data; Seagrass
    Type: Dataset
    Format: application/zip, 1.2 MBytes
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    DATA PANGAEA
  • 4
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    Australia's Black Summer wildfires (2021)
    PANGAEA
    Details
    Publication Date: 2024-04-20
    Description: In this dataset we provide various metrics for the Black Summer wildfires of Australia (September 2019 - mid February 2020), whose area was larger than 100 sq.km. To this end we treated each wildfire as a wildfire event, and extracted various metrics which are either based on the polygon of the extent of the wildfire, or on the approximate ignition point of that wildfire. Our aim was to understand the climatic, vegetation and anthropogenic variables which might explain the wildfires - their spatial and temporal extent, the burn severity etc. The data was collected from a wide range of (mostly) public freely available datasets, full references provided in our publication mentioned below. This dataset includes the burn date of all Black Summer wildfires of Australia (September 2019 - mid February 2020) based on MODIS and VIIRS, polygons of the largest (〉 100 sq.km.) fires (n = 391), and their approximate ignition points. In addition the excel file contains 10 response variables of the fires, and a range of climatic, vegetation and anthropogenic explanatory variables we used to study these fires.
    Keywords: Australia; Black Summer; GIS; remote sensing; Wildfires
    Type: Dataset
    Format: application/zip, 172.5 MBytes
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    DATA PANGAEA
  • 5
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    Benthic and substrate cover data derived from field photo-transect surveys for the Mackay to Capricorn management region of the Great Barrier Reef (GBR), May/June 2019 (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-20
    Description: A subset of photoquadrats were uploaded to the CoralNet machine learning interface (https://coralnet.ucsd.edu/) and manually labelled for coral, algae or substrate type using 50 points per quadrat. Follow training of the machine, this training set enabled automatic annotation of all unclassified field images: the remaining field photos were uploaded to the database and 50 annotation points were overlaid on each of the images. Every point was assigned a benthic cover category from a label list automatically by the program. The resulting benthic cover data of each photo was linked to GPS coordinates, saved as an ArcMap point shapefile, and projected to Universal Transverse Mercator WGS-84.
    Keywords: Acanthaster planci, cover; Acropora, cover; Acropora formosa, cover; Acroporidae, cover; Alcyoniidae, cover; Algae, cover; Background, cover; Benthic microalgae, cover; Caulerpa sp., cover; Chlorodesmis sp., cover; Coral cover, branching corals; Coralline algae, cover; Corals indeterminata, cover; Cyanobacteria, cover; DATE/TIME; Dictyota sp., cover; Epithelial algal matrix, cover; Favia, cover; GBR_MAP; GBR habitat mapping; Gorgonia, cover; Great Barrier Reef, Australia; Halimeda sp., cover; Image; Image number/name; Invertebrata, cover; LATITUDE; Lobophora, cover; LONGITUDE; Mackay-Capricorn; Montipora, cover; Other, cover; Padina sp., cover; Pocilloporidae, cover; Porites cylindrica, cover; Porites lichen, cover; Porites lobata, cover; Sand, cover; Sargassum sp., cover; Seagrass, cover; Soft corals, other, cover; Turbinaria sp., cover
    Type: Dataset
    Format: text/tab-separated-values, 1139255 data points
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    DATA PANGAEA
  • 6
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    Benthic and substrate cover data derived from field photo-transect surveys for the Townsville to Whitsunday management region of the Great Barrier Reef (GBR), May/June 2019 (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-20
    Description: A subset of photoquadrats were uploaded to the CoralNet machine learning interface (https://coralnet.ucsd.edu/) and manually labelled for coral, algae or substrate type using 50 points per quadrat. Follow training of the machine, this training set enabled automatic annotation of all unclassified field images: the remaining field photos were uploaded to the database and 50 annotation points were overlaid on each of the images. Every point was assigned a benthic cover category from a label list automatically by the program. The resulting benthic cover data of each photo was linked to GPS coordinates, saved as an ArcMap point shapefile, and projected to Universal Transverse Mercator WGS-84.
    Keywords: Acanthaster planci, cover; Acropora, cover; Acropora formosa, cover; Acroporidae, cover; Alcyoniidae, cover; Algae, cover; Background, cover; Benthic microalgae, cover; Caulerpa sp., cover; Chlorodesmis sp., cover; Coral cover, branching corals; Coralline algae, cover; Corals indeterminata, cover; Cyanobacteria, cover; DATE/TIME; Dictyota sp., cover; Epithelial algal matrix, cover; Favia, cover; GBR_MAP; GBR habitat mapping; Gorgonia, cover; Great Barrier Reef, Australia; Halimeda sp., cover; Identification; Image; Image number/name; Invertebrata, cover; LATITUDE; Lobophora, cover; LONGITUDE; Montipora, cover; Other, cover; Padina sp., cover; Pocilloporidae, cover; Porites cylindrica, cover; Porites lichen, cover; Porites lobata, cover; Sand, cover; Sargassum sp., cover; Seagrass, cover; Soft corals, other, cover; Townsville-Whitsunday; Turbinaria sp., cover
    Type: Dataset
    Format: text/tab-separated-values, 1318604 data points
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    DATA PANGAEA
  • 7
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    Georeferenced photographs of benthic photoquadrats acquired over seven reefs in the Mackay to Capricorn region of the Great Barrier Reef, May, 2019 (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-20
    Description: Underwater georeferenced photo-transect surveys were conducted at different locations: in the shallow waters of the Reef Flat (0.5-2.5m) by a snorkeller, or, along a 5m depth contour of the Reef Slope by a diver. For these surveys, the snorkellers or divers traversed a pre-determined transect 250-1000 m in length, while taking photos of the benthos at a set height using a standard digital camera and towing a surface float GPS which was logging its track every five seconds. The camera lens provided a 1.0 m x 1.0 m footprint, at 0.5 m height above the benthos. Horizontal distance between photoquadrats was estimated by fin kicks of the surveyor, and corresponded to a surface distance of approximately 2.0 - 4.0 m. The coordinates of each photoquadrat were approximated based on the timestamp of the photoquadrat and the GPS timestamp, using custom software. Coordinates of each photoquadrat were interpolated by finding the GPS coordinates that were logged at a set time before and after the photoquadrat was captured. Photoquadrats were collected with the purpose of determination of the benthic composition of each photoquadrat and to subsequently use this georeferenced field data for calibration and validation of benthic habitat maps. Transect location, direction and depth were chosen for this purpose and so as to characterise the variation in benthic cover types present on coral reefs. Photoquadrat interval along the transects was chosen to reflect the resolution of high spatial resolution satellite image data types.
    Keywords: DATE/TIME; File name; GBR_MAP; GBR habitat mapping; Great Barrier Reef, Australia; Image; LATITUDE; LONGITUDE; Mackay-Capricorn
    Type: Dataset
    Format: text/tab-separated-values, 6662 data points
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    DATA PANGAEA
  • 8
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    Georeferenced photographs of benthic photoquadrats acquired over seven reefs in the Townsville to Whitsundays region of the Great Barrier Reef, May/June, 2019 (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-20
    Description: Underwater georeferenced photo-transect surveys were conducted at different locations: in the shallow waters of the Reef Flat (0.5-2.5m) by a snorkeller, or, along a 5m depth contour of the Reef Slope by a diver. For these surveys, the snorkellers or divers traversed a pre-determined transect 250-1000 m in length, while taking photos of the benthos at a set height using a standard digital camera and towing a surface float GPS which was logging its track every five seconds. The camera lens provided a 1.0 m x 1.0 m footprint, at 0.5 m height above the benthos. Horizontal distance between photoquadrats was estimated by fin kicks of the surveyor, and corresponded to a surface distance of approximately 2.0 - 4.0 m. The coordinates of each photoquadrat were approximated based on the timestamp of the photoquadrat and the GPS timestamp, using custom software. Coordinates of each photoquadrat were interpolated by finding the GPS coordinates that were logged at a set time before and after the photoquadrat was captured. Photoquadrats were collected with the purpose of determination of the benthic composition of each photoquadrat and to subsequently use this georeferenced field data for calibration and validation of benthic habitat maps. Transect location, direction and depth were chosen for this purpose and so as to characterise the variation in benthic cover types present on coral reefs. Photoquadrat interval along the transects was chosen to reflect the resolution of high spatial resolution satellite image data types.
    Keywords: DATE/TIME; File name; GBR_MAP; GBR habitat mapping; Great Barrier Reef, Australia; Image; LATITUDE; LONGITUDE; Townsville-Whitsunday
    Type: Dataset
    Format: text/tab-separated-values, 39132 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
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