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Predicted seabed gravel, mud and sand content in the Timor Sea region in the Australian continental EEZ 2018  


Authors / CoAuthors

Li, J.

Abstract

<p>This dataset provides the spatially continuous data of seabed gravel (sediment fraction >2000 µm), mud (sediment fraction < 63 µm) and sand content (sediment fraction 63-2000 µm) expressed as a weight percentage ranging from 0 to 100%, presented in 10 m resolution raster grids format and ascii text file.</p> <p>The dataset covers the eight areas in the Timor Sea region in the Australian continental EEZ.</p> <p>This dataset supersedes previous predictions of sediment gravel, mud and sand content for the basin with demonstrated improvements in accuracy. Accuracy of predictions varies with sediment types, with a VEcv = 71% for mud, VEcv = 72% sand and VEcv = 42% for gravel. Artefacts occur in this dataset as a result of noises associated predictive variables (e.g., horizontal and vertical lines resulted from predictive variables derived from backscatter data are the most apparent ones). To obtain the most accurate interpretation of sediment distribution in these areas, it is recommended that noises with backscatter data should be reduced and predictions updated.</p> <p>This research is supported by the National Environmental Science Program (NESP) Marine Biodiversity Hub through Project D1.

Product Type

dataset

eCat Id

123300

Contact for the resource

  Point of contact

 

  Resource provider

Environmental Geoscience Division  

  Point of contact

Commonwealth of Australia (Geoscience Australia)  
Cnr Jerrabomberra Ave and Hindmarsh Dr GPO Box 378
Canberra
ACT
2601
Australia

Keywords

( Feature type )
  • Seabed sediments
theme.ANZRC Fields of Research.rdf
  • Marine Geoscience
  • National Environmental Science Program
  • Marine Biodiversity Hub
  • Published_External

Publication Date

2019-03-16T04:32:32

Creation Date

2019-03-16T00:00:00

Security Constraints

Australian Government Security ClassificationSystem    

Classification - unclassified

Legal Constraints

Creative Commons Attribution 4.0 International Licence    

Access - license

Use - license

Status

completed

Purpose

Maintenance Information

asNeeded

Topic Category

geoscientificInformation

Series Information

Lineage

Sediment samples were exported from Geoscience Australia’s Marine Sediments database (MARS), an Oracle database developed by Geoscience Australia in line with ANZLIC data standards. These samples were collected during surveys SOL4934, SOL5117 and SOL5650. Predicting the spatial distribution of gravel, mud and sand content at a 10 m resolution was undertaken using a combined method of random forest and ordinary kriging (rfok) for mud and gravel, and using the average of rfok and the hybrid method of random forest and inverse distance weighting (RFOKRFIDW) in an R package, spm (see Li 2018). The spatial predictive models used were selected from all methods in spm based on their predictive accuracy for each sediment type (i.e., gravel, mud and sand) (Li 2016 and 2017, Li et al. 2016 and 2017). The predictions in raster grids and ascii text file were generated using spm in R. Final file is in utm 52s with a 10 m spatial resolution. File sizes are approximately 2.6 GB (raster grids) and 2.6 GB (ascii text) for the seabed sediments (i.e., gravel, mud and sand).

Parent Information

Extents

[-12.42, -10.28, 126.91, 130.08]

Reference System

Spatial Resolution

Service Information

Associations

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Source Information



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