Mallee CMA - DTM
dataset
Dataset: Mallee CMA - DTM
Assembly: Mosaic
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Citation proposal Citation proposal
Mallee CMA - DTM Department of Transport and Planning https://metashare.maps.vic.gov.au/geonetwork/srv/eng/catalog.search#/metadata/92dc4309-92c8-55d1-b890-4e51a124adb1 |
- Description
- Temporal
- Spatial
- Maintenance
- Format
- Contacts
- Keywords
- Resource Constraints
- Lineage
- Metadata Constraints
- Quality
Description
- Title
- Mallee CMA - DTM
- Resource Type
- Dataset
Temporal
Spatial
- Spatial representation type
- Grid
- Horizontal Accuracy
- 0.3m
- Code
- MGA Zone 54 GDA2020
Maintenance
Format
- Title
- ESRI Ascii
Contacts
Point of contact
Department of Transport and Planning
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Coordinated Imagery Program
PO Box 500
East Melbourne
Victoria
3002
Australia
Keywords
- Topic category
-
- Elevation
Resource Constraints
- Use limitation
- General
- Classification
- Unclassified
Lineage
- Description
- The DTM was primarily generated from the point cloud class 2 (ground). Class 9 (water) was also used in the DTM in order to form a continuous surface across the river channel where DTM interpolation could not fill data voids caused by water. The decision to include water points in the DTM was based on the following: - Hydro flattening of the river channel was not undertaken. The hydro flattening would normally infill the river channel area with (flat) surface data, regardless of lidar returns from the water surface. However, without the hydro flattening process, large void spaces would be present in the river channel area if only ground points were used. - Hydro flattening was not undertaken because the process relies on the manual delineation of where the water line finishes and channel bank begins in the point cloud classification stage. For the purposes of the project, it was important for this delineation to be undertaken using the Frontier-SI River Line Toolkit. - Although void areas could have solely been filled in by a TIN interpolation process, the preference was to utilise all available LiDAR returns from the channel area (ie; points classified as water) and then rely on TIN interpolation where no LiDAR points were available. ArcGIS 9.2 Terrain Grids were derived using las2dem. This tool reads LIDAR points from the LAS/LAZ format (or some ASCII formats), triangulates them temporarily into a TIN, and then rasters the TIN onto a DTM.
Metadata Constraints
- Classification
- Unclassified
Quality
Attribute Quality
Positional Accuracy
Conceptual Consistency
- Comments
- DTM is absent of excessive triangulation and data voids. In areas beyond the 200m buffer, the LiDAR ground class has not been edited beyond automatic classification and may contain minor surface errors. The DTM is considered accurate inside the River AOI, however outside the AOI, the surface may contain artefacts from uncorrected point cloud classification anomalies.
Missing Data
- Comments
- Complete for river AOIs within the Mallee CMA
Excess Data
Overviews
Provided by
Views Views
92dc4309-92c8-55d1-b890-4e51a124adb1
Access to the portal Access to the portal
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Associated resources
Not available
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