Data

A 20 m spatial resolution seamless multisource Digital Elevation/Depth Model for Lizard Island, northern Great Barrier Reef

The University of Queensland
Javier Leon (Aggregated by) Leon, Javier (Aggregated 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_id=info:doi10.1594/PANGAEA.804566&rft.title=A 20 m spatial resolution seamless multisource Digital Elevation/Depth Model for Lizard Island, northern Great Barrier Reef&rft.identifier=10.1594/PANGAEA.804566&rft.publisher=The University of Queensland&rft.description=The proposed framework ranks data reliability internally, thereby avoiding the requirements to quantify absolute error and results in a high resolution, seamless product. Nested within this approach is an effective spatially explicit technique for improving the accuracy of bathymetry estimates derived empirically from optical satellite imagery through modelling the spatial structure of residuals. The approach was applied to data collected on and around Lizard Island in northern Australia. Collectively, the framework holds promise for filling the white ribbon zone in coastal areas characterised by similar data availability scenarios. The seamless DEM is referenced to the horizontal coordinate system MGA Zone 55 - GDA 1994, mean sea level (MSL) vertical datum and has a spatial resolution of 20 m. A range of datasets are integrated: Field-collected GPS elevation points, terrestrial and bathymetric LiDAR, single and multibeam bathymetry, nautical chart depths and empirically derived bathymetry estimations from optical remote sensing imagery.&rft.creator=Javier Leon&rft.creator=Leon, Javier&rft.date=2013&rft.coverage=145.459400,-14.668900&rft_rights=2013, The University of Queensland&rft_rights= http://creativecommons.org/licenses/by/3.0/deed.en_US&rft_subject=eng&rft_subject=DEM&rft_subject=Lizard Island&rft_subject=Remote Sensing&rft_subject=PHYSICAL GEOGRAPHY AND ENVIRONMENTAL GEOSCIENCE&rft_subject=EARTH SCIENCES&rft_subject=Geospatial Information Systems&rft_subject=ENGINEERING&rft_subject=GEOMATIC ENGINEERING&rft_subject=Ecological Impacts of Climate Change&rft_subject=ENVIRONMENTAL SCIENCES&rft_subject=ECOLOGICAL APPLICATIONS&rft.type=dataset&rft.language=English Access the data

Licence & Rights:

Open Licence view details
CC-BY

http://creativecommons.org/licenses/by/3.0/deed.en_US

2013, The University of Queensland

Access:

Open

Contact Information

j.leonpatino@uq.edu.au

Full description

The proposed framework ranks data reliability internally, thereby avoiding the requirements to quantify absolute error and results in a high resolution, seamless product. Nested within this approach is an effective spatially explicit technique for improving the accuracy of bathymetry estimates derived empirically from optical satellite imagery through modelling the spatial structure of residuals. The approach was applied to data collected on and around Lizard Island in northern Australia. Collectively, the framework holds promise for filling the white ribbon zone in coastal areas characterised by similar data availability scenarios. The seamless DEM is referenced to the horizontal coordinate system MGA Zone 55 - GDA 1994, mean sea level (MSL) vertical datum and has a spatial resolution of 20 m. A range of datasets are integrated: Field-collected GPS elevation points, terrestrial and bathymetric LiDAR, single and multibeam bathymetry, nautical chart depths and empirically derived bathymetry estimations from optical remote sensing imagery.

Issued: 2013

Data time period: 08 2009 to 12 2011

This dataset is part of a larger collection

Click to explore relationships graph

145.4594,-14.6689

145.4594,-14.6689

Other Information
Filling the 'white ribbon': a multisource seamless digital elevation model for Lizard Island, northern Great Barrier Reef

local : UQ:303138

Leon, Javier X., Phinn, Stuart R., Hamylton, Sarah and Saunders, Megan I. (2013). Filling the 'white ribbon': a multisource seamless digital elevation model for Lizard Island, northern Great Barrier Reef. International Journal of Remote Sensing, 34 (18), 6337-6354. doi: 10.1080/01431161.2013.800659

Research Data Collections

local : UQ:289097

School of Geography, Planning and Environmental Management Publications

local : UQ:161208

Identifiers