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  • As part of the standard town capture and requirement for high-res imagery to assist with cadastral upgrade in the Wellington Shire, the opportunity was taken to survey Wellington (also Yeoval & Geurie) as a reasonably large catchment job to test the change to the processing methods using ellipsoid values rather than orthometric values.

  • Provides R codes for interpolation of unstructured point data

  • This point data set was created to identify locations on (or near) the Australian coastline which were considered to represent significant changes in key environmental attributes of the coast as they pertain to sediment movement in the coastal zone. This data was created during and subsequent to the technical workshop hosted by Geoscience Australia in Canberra from 16-18 October 2012. This workshop brought together the team of Australian coastal science experts listed below. - Prof. Bruce Thom - University of Sydney and the Wentworth Group - Prof. Andy Short - University of Sydney - Prof. Colin Woodroffe - University of Wollongong - Dr. Ian Eliot - University of Western Australia - Mr. Chris Sharples - University of Tasmania - Dr. Brendan Brooke - Geoscience Australia - Dr. Scott Nichol - Geoscience Australia The technical workshop had the goal of creating regional (primary) and sub-regional (secondary) scale coastal sediment compartments spatial zones (represented by polygons) within (or between) which sediment movement could be considered on scales and timeframes relevant to coastal management. The first step in this process involved the expert panel identifying and defining boundary points along the Australian coastline, after which the expert panel assigned relevant environmental attributes to each point. Following the development of the boundary points data set, breaklines representing the coast-perpendicular compartment boundaries were generated by extending a line from the defined offshore bathymetric contour to the defined onshore elevation contour. In every case a compartment breakline extends seaward and landward of its boundary point.

  • These datasets cover approximately 2250 sq km in the central sector of the Cassowary Coast Regional Council and over all of Dunk and Hinchinbrook Islands and are part of the 2009 Tropical Coast LiDAR capture project. This project, undertaken by Fugro Spatial Solutions Pty Ltd on behalf of the Queensland Government captured highly accurate elevation data using LiDAR technology. Available dataset formats (in 2 kilometre tiles) are: - Classified las (LiDAR Data Exchange Format where strikes are classified as ground, non-ground or building) - ASCII xyz dataset of LiDAR ground returns - ASCII xyz dataset of LiDAR ground returns - 1 metre Digital Elevation Model (DEM) in ASCII xyz - 1 metre Digital Elevation Model (DEM) in ESRI ASCII grid - 1 metre Digital Elevation Model (DEM) in ESRI binary grid - 0.25 metre contours in ESRI Shape

  • These datasets cover approximately 161 sq km along the northern boundary of the Cassowary Coast Regional Council and were captured as part of the 2010 Cairns LiDAR project. This project, undertaken by Terranean Mapping Technologies on behalf of the Queensland Government captured highly accurate elevation data using LiDAR technology. Available dataset formats (in 1 kilometre tiles) are: - Classified las (LiDAR Data Exchange Format where strikes are classified as ground, vegetation or building) - 1 metre Digital Elevation Model (DEM) in ASCII xyz - 1 metre Digital Elevation Model (DEM) in ESRI ASCII grid - 0.25 metre contours in ESRI Shape

  • The Divisions data set was created as one of three broad-scale data layers to facilitate the definition of Primary and Secondary compartments. The Divisions data is provided so that the logic of the compartment creation can be understood. With regards to spatial scale, the Divisions data set represents one of the mid-scale products, as shown in the hierarchical listing for all of the polygon data sets shown below: - Coastal Realms (1:5 000 000) - Coastal Regions (1:1 000 000) - Coastal Divisions (1:250 000) - Primary Compartments (1:250 000 - 1:100 000) - Secondary Compartments (1:100 000 - 1:25 000)

  • This report presents the location and sources of sediment samples and observational data in the Vestfold Hills (between 68° 23' and 68° 40' S, 77° 50' and 78° 35' E) to provide physical and chemical properties, sedimentary processes, and glacial and marine history of the terrestrial environment. This compilation of samples and observations incorporates data collected from the 1970s to present from published and unpublished sources. Sample locations and types are presented here to make them more readily available for further analysis and interpretation. Samples and observations are presented as point locations and include sample type, analyses, and references to the original data source.

  • The Regions data set was created as one of three broad-scale data layers to facilitate the definition of Primary and Secondary compartments. The Regions data is provided so that the logic of the compartment creation can be understood. With regards to spatial scale, the Regions data set represents one of the mid-scale products, as shown in the hierarchical listing for all of the polygon data sets shown below: - Coastal Realms (1:5 000 000) - Coastal Regions (1:1 000 000) - Coastal Divisions (1:250 000) - Primary Compartments (1:250 000 - 1:100 000) - Secondary Compartments (1:100 000 - 1:25 000)

  • These datasets covering all of the Logan City Council were captured under the 2008 Logan LiDAR capture project. This project, undertaken by Schlencker Mapping Pty Ltd on behalf of the Logan City Council captured highly accurate elevation data using LiDAR technology. Available dataset formats (in 1 kilometre tiles) are: - Classified las (LiDAR Data Exchange Format where strikes are classified as ground and non-ground) - 5 metre Digital Elevation Model (DEM) in ASCII xyz - 5 metre Digital Elevation Model (DEM) in ESRI ASCII grid - 0.5 metre contours in ESRI Shape Purpose: To provide highly accurate elevation data for use in risk assessment, the management of natural disasters, infrastructure planning, developing strategies to support climate change, topographic mapping and modelling.

  • The Realms data set was created as one of three broad-scale data layers to facilitate the definition of Primary and Secondary compartments. The Realms data is provided so that the logic of the compartment creation can be understood. With regards to spatial scale, the Realms data set represents the smallest scale product, as shown in the hierarchical listing for all of the polygon data sets shown below: - Coastal Realms (1:5 000 000) - Coastal Regions (1:1 000 000) - Coastal Divisions (1:250 000) - Primary Compartments (1:250 000 - 1:100 000) - Secondary Compartments (1:100 000 - 1:25 000)