Data

Extent, structure and condition of shoreline habitats in estuaries and along protected coastlines; Logan and Albert Rivers - Mangrove Watch

Griffith University
James Cook University (Managed by, Owned by) James Cook University (Managed by, Owned by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft.title=Extent, structure and condition of shoreline habitats in estuaries and along protected coastlines; Logan and Albert Rivers - Mangrove Watch&rft.publisher=Griffith University&rft.description=Annual collection of geo-tagged video imagery of shoreline habitats using the Shoreline Video Assessment Method (SVAM) employed by trained community members and organisations. Video imagery is collected using a Sony Handycam from a shallow-draft boat travelling parallel to the shoreline at a distance of ~25m, at a speed between 4 and 6 kts. The video camera is positioned to record directly perpendicular to the direction of travel at all times. Shoreline video imagery is collected with a concurrent time-synchronised 2-second interval GPS track to provide spatial reference to the imagery. Voice recording of observations on mangrove species composition, structure, condition and threats are made during recording with local observations and context provided by a local MangroveWatchers. Shoreline mangrove forest features are recorded from the video using visual criteria-based classification. The video is first divided into 1-second jpeg frame images. The video time stamp and GPS track enable each frame to be related to a position along the shoreline (+/- 10m). Using ArcGIS 10.0, the shoreline is divided into 10m sections and each section related to a video frame such that the imagery seen between 2 frame locations represents 10m of shoreline. The 10m sections of coastline are then classified according to a set of visual criteria designed by the MangroveWatch Hub.Currently surveying Logan and Albert Rivers. Due: June 2015 Annual collection of geo-tagged video imagery of shoreline habitats.&rft.creator=James Cook University&rft.creator=James Cook University&rft.date=1970&rft.coverage=Logan and Albert mangrove community (intertidal shoreline)&rft_rights=Wildlife Preservation Society Qld and Mangrove Watch Ltd.Creative Commons Commercial Use. &rft_subject=Intersection of community engagement with public spce and healthy water systems&rft_subject=Environmental&rft_subject=Biological&rft_subject=Social&rft_subject=Land Use&rft_subject=Recreational&rft_subject=Estuarine&rft_subject=Marine&rft_subject=Riverbank&rft_subject=Wetlands/Mangroves&rft_subject=Residential&rft_subject=Mouth&rft_subject=Bay&rft_subject=Southern Moreton Bay Islands&rft_subject=Mangrove&rft_subject=Structure&rft_subject=Condition&rft_subject=Habitats&rft_subject=Geo-tagged imagery&rft_subject=Shoreline Video Assessment Method&rft.type=dataset&rft.language=English Access the data

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Contact Information

mangrovewatch@gmail.com

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Wildlife Preservation Society Qld and Mangrove Watch Ltd.Creative Commons Commercial Use.

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Brief description

Currently surveying Logan and Albert Rivers. Due: June 2015 Annual collection of geo-tagged video imagery of shoreline habitats.

Full description

Annual collection of geo-tagged video imagery of shoreline habitats using the Shoreline Video Assessment Method (SVAM) employed by trained community members and organisations. Video imagery is collected using a Sony Handycam from a shallow-draft boat travelling parallel to the shoreline at a distance of ~25m, at a speed between 4 and 6 kts. The video camera is positioned to record directly perpendicular to the direction of travel at all times. Shoreline video imagery is collected with a concurrent time-synchronised 2-second interval GPS track to provide spatial reference to the imagery. Voice recording of observations on mangrove species composition, structure, condition and threats are made during recording with local observations and context provided by a local MangroveWatchers. Shoreline mangrove forest features are recorded from the video using visual criteria-based classification. The video is first divided into 1-second jpeg frame images. The video time stamp and GPS track enable each frame to be related to a position along the shoreline (+/- 10m). Using ArcGIS 10.0, the shoreline is divided into 10m sections and each section related to a video frame such that the imagery seen between 2 frame locations represents 10m of shoreline. The 10m sections of coastline are then classified according to a set of visual criteria designed by the MangroveWatch Hub.

Notes

Features assessed; 1. Mangrove biomass (kg/ha); canopy height, forest structure classification 2. Mangrove condition; presence of canopy dieback, dead trees and canopy density 3. Current shoreline change and mangrove forest process; exposed, stable, expanding 4. High value mangroves at risk of loss; score of mangrove functional capacity 5. Habitat fragmentation; gaps (natural or human) in continuous mangrove stands. continuity score, human modification score 6. Complimentary GIS Assessment; historical shoreline change, mangrove habitat change (1958-2011), Social: Community members provide voice commantary - local issues. And overlay with ecological assessment.

Data time period: 10 2014

This dataset is part of a larger collection

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Spatial Coverage And Location

text: Logan and Albert mangrove community (intertidal shoreline)