Data

Benthic communities and geomorphic zones of Heron Reef

University of Tasmania, Australia

Phinn, Stuart ; Roelfsema, Christiaan ; Mumby, Peter

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=http://metadata.imas.utas.edu.au/geonetwork/srv/eng/search?uuid=c4597a97-1ff5-410c-b23b-b5e2e3944610&rft.title=Benthic communities and geomorphic zones of Heron Reef&rft.identifier=http://metadata.imas.utas.edu.au/geonetwork/srv/eng/search?uuid=c4597a97-1ff5-410c-b23b-b5e2e3944610&rft.description=Providing accurate maps of coral reefs where the spatial scale and labels of the mapped features correspond to map units appropriate for examining biological and geomorphic structures and processes is a major challenge for remote sensing. The objective of this work is to assess the accuracy and relevance of the process used to derive geomorphic zone and benthic community zone maps for three western Pacific coral reefs produced from multi-scale, object-based image analysis (OBIA) of high-spatial-resolution multi-spectral images, guided by field survey data. Three Quickbird-2 multi-spectral data sets from reefs in Australia, Palau and Fiji and georeferenced field photographs were used in a multi-scale segmentation and object-based image classification to map geomorphic zones and benthic community zones. A per-pixel approach was also tested for mapping benthic community zones. Validation of the maps and comparison to past approaches indicated the multi-scale OBIA process enabled field data, operator field experience and a conceptual hierarchical model of the coral reef environment to be linked to provide output maps at geomorphic zone and benthic community scales on coral reefs. The OBIA mapping accuracies were comparable with previously published work using other methods; however, the classes mapped were matched to a predetermined set of features on the reef.Maintenance and Update Frequency: notPlannedStatement: A Quickbird-2 multi-spectral image data of Heron Reef taken on July 1, 2007 was used in a multi-scale segmentation and object-based image classification to produce a benthic community map and a geomorphic zone map. These maps are provided in ESRI Shapefile format. Projection used was Universal Transverse Mercator Zone 56 South and Datum used was WGS 84. Column header titles BenthicCom: Type of benthic community Source: Person and Organization Method: Method used to produce this data Publication: Paper where this data was published The 14 benthic community types and their descriptions are supplied in the PDF documentation attached to this record.&rft.creator=Phinn, Stuart &rft.creator=Roelfsema, Christiaan &rft.creator=Mumby, Peter &rft.date=2020&rft.coverage=westlimit=151.89883; southlimit=-23.44915; eastlimit=151.924951; northlimit=-23.43232&rft.coverage=westlimit=151.89883; southlimit=-23.44915; eastlimit=151.924951; northlimit=-23.43232&rft_rights= http://creativecommons.org/licenses/by/4.0/&rft_rights=http://i.creativecommons.org/l/by/4.0/88x31.png&rft_rights=WWW:LINK-1.0-http--related&rft_rights=License Graphic&rft_rights=Creative Commons Attribution 4.0 International License&rft_rights=http://creativecommons.org/international/&rft_rights=WWW:LINK-1.0-http--related&rft_rights=WWW:LINK-1.0-http--related&rft_rights=License Text&rft_rights=Cite data as: Phinn, Stuart R; Roelfsema, Christiaan M; Mumby, Peter J (2012): Benthic cover map of Heron Reef derived from a high-spatial-resolution multi-spectral satellite image using object based image analysis. PANGAEA, DOI: https://doi.org/10.1594/PANGAEA.789968,&rft_rights=This dataset is hosted by the Institute for Marine and Antarctic Studies (IMAS), University of Tasmania, on behalf of The University of Queensland for the purposes of the Seamap Australia collaborative project (testing a national marine benthic habitat classification scheme).&rft_rights=Creative Commons Attribution 4.0 International License http://creativecommons.org/licenses/by/4.0&rft_subject=biota&rft_subject=benthic community&rft_subject=geomorphology&rft_subject=Geomorphic habitat&rft_subject=Benthic habitat&rft_subject=MARINE HABITAT&rft_subject=EARTH SCIENCE&rft_subject=BIOSPHERE&rft_subject=AQUATIC ECOSYSTEMS&rft_subject=Environmental Sciences not elsewhere classified&rft_subject=ENVIRONMENTAL SCIENCES&rft_subject=OTHER ENVIRONMENTAL SCIENCES&rft_subject=Marine and Estuarine Ecology (incl. Marine Ichthyology)&rft_subject=BIOLOGICAL SCIENCES&rft_subject=ECOLOGY&rft_subject=Geomorphology and Regolith and Landscape Evolution&rft_subject=EARTH SCIENCES&rft_subject=PHYSICAL GEOGRAPHY AND ENVIRONMENTAL GEOSCIENCE&rft_subject=Marine Geoscience&rft_subject=GEOLOGY&rft_subject=orbiting satellite&rft_subject=Biotic taxonomic identification&rft_subject=cameras&rft.type=dataset&rft.language=English Access the data

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Cite data as: Phinn, Stuart R; Roelfsema, Christiaan M; Mumby, Peter J (2012): Benthic cover map of Heron Reef derived from a high-spatial-resolution multi-spectral satellite image using object based image analysis. PANGAEA, DOI: https://doi.org/10.1594/PANGAEA.789968,

This dataset is hosted by the Institute for Marine and Antarctic Studies (IMAS), University of Tasmania, on behalf of The University of Queensland for the purposes of the Seamap Australia collaborative project (testing a national marine benthic habitat classification scheme).

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Brief description

Providing accurate maps of coral reefs where the spatial scale and labels of the mapped features correspond to map units appropriate for examining biological and geomorphic structures and processes is a major challenge for remote sensing. The objective of this work is to assess the accuracy and relevance of the process used to derive geomorphic zone and benthic community zone maps for three western Pacific coral reefs produced from multi-scale, object-based image analysis (OBIA) of high-spatial-resolution multi-spectral images, guided by field survey data. Three Quickbird-2 multi-spectral data sets from reefs in Australia, Palau and Fiji and georeferenced field photographs were used in a multi-scale segmentation and object-based image classification to map geomorphic zones and benthic community zones. A per-pixel approach was also tested for mapping benthic community zones. Validation of the maps and comparison to past approaches indicated the multi-scale OBIA process enabled field data, operator field experience and a conceptual hierarchical model of the coral reef environment to be linked to provide output maps at geomorphic zone and benthic community scales on coral reefs. The OBIA mapping accuracies were comparable with previously published work using other methods; however, the classes mapped were matched to a predetermined set of features on the reef.

Lineage

Maintenance and Update Frequency: notPlanned

Statement: A Quickbird-2 multi-spectral image data of Heron Reef taken on July 1, 2007 was used in a multi-scale segmentation and object-based image classification to produce a benthic community map and a geomorphic zone map. These maps are provided in ESRI Shapefile format. Projection used was Universal Transverse Mercator Zone 56 South and Datum used was WGS 84.

Column header titles
BenthicCom: Type of benthic community
Source: Person and Organization
Method: Method used to produce this data
Publication: Paper where this data was published

The 14 benthic community types and their descriptions are supplied in the PDF documentation attached to this record.

This dataset is part of a larger collection

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text: westlimit=151.89883; southlimit=-23.44915; eastlimit=151.924951; northlimit=-23.43232

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Other Information

(SUPPLEMENTARY INFO - benthic community types and descriptions [PDF])

uri : https://data.imas.utas.edu.au/attachments/c4597a97-1ff5-410c-b23b-b5e2e3944610/Heron2007_BenthicCommunityMap_Metadata.pdf External Link

(Original metadata record [PANGAEA catalogue])

doi : https://doi.pangaea.de/10.1594/PANGAEA.789968 DOI Link

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

Identifiers

global : c4597a97-1ff5-410c-b23b-b5e2e3944610

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