Cann River South DEM
dataset
Dataset: Cann River South DEM
Assembly: Single
|
Citation proposal Citation proposal
Cann River South DEM Department of Transport and Planning https://metashare.maps.vic.gov.au/geonetwork/srv/eng/catalog.search#/metadata/9f1919a7-66ac-5501-8645-c31e03bd290a |
- Description
- Temporal
- Spatial
- Maintenance
- Format
- Contacts
- Keywords
- Resource Constraints
- Lineage
- Metadata Constraints
- Quality
Description
- Title
- Cann River South DEM
- Resource Type
- Dataset
Temporal
Spatial
- Spatial representation type
- Grid
- Horizontal Accuracy
- 0.3m
- Code
- MGA Zone 55 GDA2020
Maintenance
Format
- Title
- GeoTIF
Contacts
Point of contact
Department of Transport and Planning
-
Coordinated Imagery Program
PO Box 500
East Melbourne
Victoria
3002
Australia
Keywords
- Topic category
-
- Elevation
Resource Constraints
- Use limitation
- Departmental
- Classification
- Limited Distribution
Lineage
- Description
- RPS: LiDAR in this AOI was captured by RPS. The IMU and post processed airborne GPS logs were used to generate the LiDAR point cloud from the waveform instrument data. Raw LiDAR swaths were levelled to establish internal consistency, merged and 1km x 1km tiles in LAS v1.2 format were created. An automatic classification algorithm was applied in TerraScan software to produce an initial classification of ground (2) and unclassified (1). High and low noise points were automatically classified and allocated to class 7. On completion of the ground classification automatic algorithms were used to classify unclassified points to low vegetation (3), medium vegetation (4), high vegetation (5) and buildings (6). Review of the classification was completed on data present within the AOI only. The classification accuracy was not measured empirically. Manual editing of ground points were completed in areas where log piles were identified ¿ these log pile points were placed into 'unclassified' class 0.
Metadata Constraints
- Classification
- Unclassified
Quality
Attribute Quality
Positional Accuracy
Conceptual Consistency
- Comments
- Raster data is supplied in Cloud Optimised Geottif format using lossless LZW compression. Products meet expected specifications.
Missing Data
- Comments
- Complete coverage of AOI
Excess Data
Overviews
Provided by
Views Views
9f1919a7-66ac-5501-8645-c31e03bd290a
Access to the portal Access to the portal
Read here the full details and access to the data. Read here the full details and access to the data.
Associated resources
Not available