Surface
Type of resources
Keywords
Publication year
Service types
Scale
Topics
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This job was part of the Coastal capture program. It captures from the 10m contour interval to the coastline in the east. To the north are the Nowra job and the Batemans Bay job to the south.
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City Yarra LiDAR 2007
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These datasets cover approximately 980 sq km in the western sector of the Burdekin Regional Council and are part of the 2011 Lower Burdekin 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 1 kilometre tiles) are: - Classified las (LiDAR Data Exchange Format where strikes are classified as ground, non-ground 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
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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.
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Victoria Coast 2007-2008
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This job was planned due to a requirement for high accuracy aerial photography to be used as part of a cadastral adjustment program. The high quality laser derived surface means that there would be minimal distortion on the part of the imagery and so it would suit the purpose well. The job was extended beyond the immediate town extents as the council was also interested in floodplain mapping and cadastral adjustment in the surrounds.
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Provides R codes for interpolation of unstructured point data
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The Secondary Coastal Sediment Compartment data set represents a sub-regional-scale (1:100 000 - 1:25 000) compartmentalisation of the Australian coastal zone into spatial units within (and between) which sediment movement processes are considered to be significant at scales relevant to coastal management. The Primary and accompanying Secondary Coastal Sediment Compartment data sets were created by a panel of coastal science experts who developed a series of broader scale data sets (Coastal Realms, Regions and Divisions) in order to hierarchically subdivide the coastal zone on the basis of key environmental attributes. Once the regional (1:250 000) scale was reached expert knowledge of coastal geomorphology and processes was used to further refine the sub-division and create both the Primary and Secondary Sediment Compartment data sets. Environmental factors determining the occurrence and extents of these compartments include major geological structures, major geomorphic process boundaries, orientation of the coastline and recurring patterns of landform and geology - these attributes are given in priority order below. 1 - Gross lithological/geological changes (e.g. transition from sedimentary to igneous rocks). 2 - Geomorphic (topographic) features characterising a compartment boundary (often bedrock-controlled) (e.g. peninsulas, headlands, cliffs). 3 - Dominant landform types (e.g. large cuspate foreland, tombolos and extensive sandy beaches versus headland-bound pocket beaches). 4 - Changes in the orientation (aspect) of the shoreline.
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This job was part of the Coastal capture program. It captures from the 10m contour interval to the adjoining southern and western jobs of Wooli & Grafton.
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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)