Citation:

PANGAEA.963918

Name: One Tree Reef topographic and bathymetric LiDAR digital elevation model (2018) and roughness equivalent habitat data (2023)
Published: 2023-12-18
License: https://creativecommons.org/licenses/by/4.0/
Keywords: Coral Reef; digital elevation model (DEM); Lidar; surface roughness

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Published: 2023-12-18 • DOI registered: 2024-01-16

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Abstract:

A high-resolution LiDAR digital elevation model was developed to investigate the geomorphic features and surface roughness of a coral reef in the Southern Great Barrier (One Tree Reef). Given that there are few data sets of equivalent resolution the focus of this research was to detail the change in surface roughness expression over multiple spatial scales.

Data were collected 8 October 2018 using a Riegl VQ-820-G topo-bathymetric LiDAR combined with a Riegl Q680i-S topographic scanner and a Canon EOS 5Dmk4 DSLR on a small research aircraft (Diamond Aircraft ECO-Dimona). The whole One Tree Reef area was covered twice using two different pulse rate settings for the VQ-820-G, viz. 284kHz and 522kHz. This measurement strategy ensured maximum spatial resolution (at 522kHz) and maximum depth penetration (at 284kHz).

All LiDAR data was processed to a 0.25 m cell-size DEM using a combination of Riegl proprietary software, ARA-developed software, the RAPIDLASSO LAStools utilities, Bayesmap's StripAlign™ utility and Global Mapper V 20. Processing included human-machine interactive selection and confirmation of valid bathymetric points. The imagery from the DSLR was mosaiced at 0.14 m cell size using the AgiSoft PhotoScan© (now Metashape) Software package and overlaid onto the LiDAR point cloud. The relative error of the LiDAR point cloud was ± 0.1 m.

Two methods of characterising surface roughness were applied to the LiDAR DEM: the vector ruggedness measure (VRM) and the Multiscale Roughness (MR) tool from WhiteBox Tools. The VRM was applied over filter radii of 8, 20, 100 and 400 cells. The MR approach was conducted between filter radii of 1 – 1500 cells (≈ 0.5 to 750 m) with step intervals of 1.

MR analysis revealed the roughness signatures of the geomorphic coral reef zones defined by Roelfsema et al. (2018, doi:10.1016/j.rse.2018.02.005). Geomorphic zones with similar roughness signatures were combined to produce roughness equivalent habitats. Roughness equivalent habitats are regions with similar roughness signature that do not necessarily form geographical contiguous areas.

Data contained in this repository are: 1. The LiDAR DEM as a geotiff; 2. Roughness magnitude and scale geotiffs computed using the MultiscaleRoughness tool from Whitebox Tools and 3. The ESRI shapefiles for the roughness equivalent habitats. Further details of the results and analysis of the LiDAR DEM can be found in Harris et al. (2023, doi:/10.1016/j.geomorph.2023.108852).

Keyword(s):

Coral Reef; digital elevation model (DEM); Lidar; surface roughness

Related to:

Harris, Daniel L; Webster, Jody M; Vila-Concejo, Ana; Duce, Stephanie; Leon, Javier X; Hacker, Jorg (2023): Defining multi-scale surface roughness of a coral reef using a high-resolution LiDAR digital elevation model. Geomorphology, 439, 108852, https://doi.org/10.1016/j.geomorph.2023.108852

Funding:

Australian Research Council (ARC), grant/award no. DP120101793: Geomorphological development of coral reefs, southern Great Barrier Reef: an integrated record of Holocene palaeoecology and palaeoclimate from core

Comment:

Further funding:

How will tropical coastlines respond if coral reefs decline and sea level rise?, Award: UQ New Staff and ECR grant

Parameter(s):

#	Name	Short Name	Unit	Principal Investigator
1	Binary Object	Binary		Harris, Daniel L
2	Binary Object (File Size)	Binary (Size)	Bytes	Harris, Daniel L
3	Binary Object (Character Set)	Binary (Charset)		Harris, Daniel L
4	Binary Object (Media Type)	Binary (Type)		Harris, Daniel L
5	Binary Object (MD5 Hash)	Binary (Hash)		Harris, Daniel L
6	File content	Content		Harris, Daniel L

License:

Creative Commons Attribution 4.0 International (CC-BY-4.0)

Status:

Curation Level: Basic curation (CurationLevelB)

Size:

8 data points

Data

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1 Binary	2 Binary (Size) [Bytes]	4 Binary (Type)	5 Binary (Hash)	6 Content
OTI_25cm_Q820_all_bathy_topo_DTM_refract_-1m_GM(bin,min,0.25,1).tif	708.6 MBytes	image/tiff	97f2571517ccbd64641c3d4f7e99e9cd	The LiDAR digital elevtion model (geotiff).
OTI_roughness_magnitude_1500.tif	2.1 GBytes	image/tiff	9970365c55bfba6909c6ee224297ddf2	The roughness magnitude raster from the Multiscale Roughness analysis (geotiff).
OTI_roughness_scale_1500.tif	2.1 GBytes	image/tiff	c9b6a25dea78d76578a1b3f0889d07ab	The roughness scale raster from the Multiscale Roughness analysis (geotiff).
Roughness_Equivalent_Habitats.zip	35 kBytes	application/zip	adf240c76cafcebce409bca09d9e27be	The roughness equivalent habitat shapefile.