Data

Multi-temporal mapping of seagrass cover, species and biomass of the Eastern Banks, Moreton Bay

Australian Ocean Data Network
Roelfsema, Christiaan ; Phinn, Stuart ; Lyons, Mitchell ; Kovacs, Eva ; Maxwell, Paul ; Saunders, Megan ; Samper-Villarreal, J
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://catalogue-aodn.prod.aodn.org.au/geonetwork/srv/eng/search?uuid=0e01cc13-cc11-4158-beef-755fae43ad0d&rft.title=Multi-temporal mapping of seagrass cover, species and biomass of the Eastern Banks, Moreton Bay&rft.identifier=http://catalogue-aodn.prod.aodn.org.au/geonetwork/srv/eng/search?uuid=0e01cc13-cc11-4158-beef-755fae43ad0d&rft.description=The spatial and temporal dynamics of seagrasses have been studied from the leaf to patch (100 m**2) scales. However, landscape scale (> 100 km**2) seagrass population dynamics are unresolved in seagrass ecology. Previous remote sensing approaches have lacked the temporal or spatial resolution, or ecologically appropriate mapping, to fully address this issue. This paper presents a robust, semi-automated object-based image analysis approach for mapping dominant seagrass species, percentage cover and above ground biomass using a time series of field data and coincident high spatial resolution satellite imagery. The study area was a 142 km**2 shallow, clear water seagrass habitat (the Eastern Banks, Moreton Bay, Australia). Nine data sets acquired between 2004 and 2013 were used to create seagrass species and percentage cover maps through the integration of seagrass photo transect field data, and atmospherically and geometrically corrected high spatial resolution satellite image data (WorldView-2, IKONOS and Quickbird-2) using an object based image analysis approach. Biomass maps were derived using empirical models trained with in-situ above ground biomass data per seagrass species. Maps and summary plots identified inter- and intra-annual variation of seagrass species composition, percentage cover level and above ground biomass. The methods provide a rigorous approach for field and image data collection and pre-processing, a semi-automated approach to extract seagrass species and cover maps and assess accuracy, and the subsequent empirical modelling of seagrass biomass. The resultant maps provide a fundamental data set for understanding landscape scale seagrass dynamics in a shallow water environment. Our findings provide proof of concept for the use of time-series analysis of remotely sensed seagrass products for use in seagrass ecology and management.Maintenance and Update Frequency: notPlanned&rft.creator=Roelfsema, Christiaan &rft.creator=Phinn, Stuart &rft.creator=Lyons, Mitchell &rft.creator=Kovacs, Eva &rft.creator=Maxwell, Paul &rft.creator=Saunders, Megan &rft.creator=Samper-Villarreal, J &rft.date=2020&rft.coverage=westlimit=153.37; southlimit=-27.42; eastlimit=153.42; northlimit=-27.37; projection=GDA94 / Geoscience Australia Lambert (EPSG:3112)&rft.coverage=westlimit=153.37; southlimit=-27.42; eastlimit=153.42; northlimit=-27.37; projection=GDA94 / Geoscience Australia Lambert (EPSG:3112)&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: Roelfsema, Christiaan M; Lyons, Mitchell B; Kovacs, Eva M; Maxwell, Paul; Saunders, Megan I; Samper-Villarreal, Jimena; Phinn, Stuart R (2014): Multi-temporal mapping of seagrass cover, species and biomass of the Eastern Banks, Moreton Bay, Australia, with links to shapefiles. doi:10.1594/PANGAEA.833767&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 (UQ) 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 HABITAT&rft_subject=EARTH SCIENCE&rft_subject=BIOSPHERE&rft_subject=AQUATIC ECOSYSTEMS&rft_subject=MARINE HABITAT&rft_subject=SEAGRASS&rft_subject=BIOLOGICAL CLASSIFICATION&rft_subject=PLANTS&rft_subject=ANGIOSPERMS (FLOWERING PLANTS)&rft_subject=MONOCOTS&rft_subject=Environmental Management&rft_subject=ENVIRONMENTAL SCIENCES&rft_subject=ENVIRONMENTAL SCIENCE AND MANAGEMENT&rft_subject=Environmental Sciences not elsewhere classified&rft_subject=OTHER ENVIRONMENTAL SCIENCES&rft_subject=Marine and Estuarine Ecology (incl. Marine Ichthyology)&rft_subject=BIOLOGICAL SCIENCES&rft_subject=ECOLOGY&rft_subject=Dry weight seagrass biomass per square metre&rft_subject=Benthic habitat&rft_subject=Abundance of biota&rft_subject=Biotic taxonomic identification&rft.type=dataset&rft.language=English Access the data
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Cite data as: Roelfsema, Christiaan M; Lyons, Mitchell B; Kovacs, Eva M; Maxwell, Paul; Saunders, Megan I; Samper-Villarreal, Jimena; Phinn, Stuart R (2014): Multi-temporal mapping of seagrass cover, species and biomass of the Eastern Banks, Moreton Bay, Australia, with links to shapefiles. doi:10.1594/PANGAEA.833767

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

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Brief description

The spatial and temporal dynamics of seagrasses have been studied from the leaf to patch (100 m**2) scales. However, landscape scale (> 100 km**2) seagrass population dynamics are unresolved in seagrass ecology. Previous remote sensing approaches have lacked the temporal or spatial resolution, or ecologically appropriate mapping, to fully address this issue. This paper presents a robust, semi-automated object-based image analysis approach for mapping dominant seagrass species, percentage cover and above ground biomass using a time series of field data and coincident high spatial resolution satellite imagery. The study area was a 142 km**2 shallow, clear water seagrass habitat (the Eastern Banks, Moreton Bay, Australia). Nine data sets acquired between 2004 and 2013 were used to create seagrass species and percentage cover maps through the integration of seagrass photo transect field data, and atmospherically and geometrically corrected high spatial resolution satellite image data (WorldView-2, IKONOS and Quickbird-2) using an object based image analysis approach. Biomass maps were derived using empirical models trained with in-situ above ground biomass data per seagrass species. Maps and summary plots identified inter- and intra-annual variation of seagrass species composition, percentage cover level and above ground biomass. The methods provide a rigorous approach for field and image data collection and pre-processing, a semi-automated approach to extract seagrass species and cover maps and assess accuracy, and the subsequent empirical modelling of seagrass biomass. The resultant maps provide a fundamental data set for understanding landscape scale seagrass dynamics in a shallow water environment. Our findings provide proof of concept for the use of time-series analysis of remotely sensed seagrass products for use in seagrass ecology and management.

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Maintenance and Update Frequency: notPlanned

Data time period: 2004-09-17 to 2013-08-05

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153.42,-27.37 153.42,-27.42 153.37,-27.42 153.37,-27.37 153.42,-27.37

153.395,-27.395

text: westlimit=153.37; southlimit=-27.42; eastlimit=153.42; northlimit=-27.37; projection=GDA94 / Geoscience Australia Lambert (EPSG:3112)

Subjects
ANGIOSPERMS (FLOWERING PLANTS) | AQUATIC ECOSYSTEMS | Abundance of biota | BENTHIC HABITAT | BIOLOGICAL CLASSIFICATION | Biological Sciences | BIOSPHERE | Benthic habitat | Biotic taxonomic identification | Dry weight seagrass biomass per square metre | EARTH SCIENCE | Ecology | Environmental Science and Management | Environmental Sciences | Environmental Management | Environmental Sciences Not Elsewhere Classified | MARINE HABITAT | MONOCOTS | Marine and Estuarine Ecology (Incl. Marine Ichthyology) | Other Environmental Sciences | PLANTS | SEAGRASS | biota |

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Other Information
(Original metadata record [PANGAEA catalogue])

doi : https://doi.pangaea.de/10.1594/PANGAEA.833767

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

Identifiers
  • global : 0e01cc13-cc11-4158-beef-755fae43ad0d
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