Brief description
This record contains processed and topographically corrected Ground Penetrating Radar (GPR) data (.segy, .bmps) and summary shapefile collected on fieldwork at Old Bar Beach, NSW for the Bushfire and Natural Hazards CRC Project, Resilience to Clustered Disaster Events on the Coast - Storm Surge. The data was collected from 3 - 5 March 2015 using a MALA ProEx GPR system with a 250 MHz shielded antennae. The aim of the field work was to identify and define a minimum thickness for the beach and dune systems, and where possible depth to any identifiable competent substrate (e.g. bedrock) or pre-Holocene surface which may influence the erosion potential of incident wave energy. Surface elevation data was co-acquired and used to topographically correct the GPR profiles. This dataset is published with the permission of the CEO, Geoscience Australia.Lineage
Maintenance and Update Frequency: notPlannedCreated: 03 03 2015
Issued: 17 08 2016
Data time period: 2015-03-03
text: westlimit=152.54; southlimit=-32.35; eastlimit=152.6; northlimit=-31.97; projection=WGS 84 / World Mercator (EPSG:3395)
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Link to a PDF poster summarising the objectives and aims of the project that funded the GPR data collection. (Related link: Resilience to Clustered Disaster Events on the Coast - Poster)
Link to the Bushfire and Natural Hazard CRC's page summarising the objectives and aims of the project that funded the GPR data collection. (Related link: Resilience to Clustered Disaster Events on the Coast - Storm Surge)
uri :
http://bnhcrc.com.au/research/bushfire-and-natural-hazard-risks/254
Home page of MALA Geosciences (Related link: MALA Geosciences Home Page)
uri :
http://www.malags.com/home
Download the data (bmp)
uri :
https://d28rz98at9flks.cloudfront.net/100224/100224_BMP.zip
Download the data (shp)
uri :
https://d28rz98at9flks.cloudfront.net/100224/100224_GIS.zip
Download the data (segy)
uri :
https://d28rz98at9flks.cloudfront.net/100224/100224_SEGY.zip
- global : 64b49cf4-00a8-453c-9fdd-e02be901282f
- URI : http://pid.geoscience.gov.au/dataset/ga/100224