Ellinbank - LiDAR
dataset
Dataset: Ellinbank - LiDAR
Assembly: Single
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Citation proposal Citation proposal
Ellinbank - LiDAR https://uat-metashare.maps.vic.gov.au/geonetwork/srv/eng/catalog.search#/metadata/156fcceb-24c2-5580-9933-33ac0c2120dd |
Details
Contacts
Point of contact
Identifiers and Keywords
- ANZLIC Id
- ANZVI0008103052
- Topic category
-
- Elevation
Resource Constraints
- Use limitation
- General
- Classification
- Unclassified
Other Dataset Details
- Format
- LAS 1.2
Spatial
- Spatial representation type
- Point Cloud
- Reference system identifier
- MGA Zone 55 GDA94
Resolution
- Horizontal Accuracy
- 0.18m
- Vertical Accuracy
- 0.1m
Quality
- Conceptual Consistency
- Ground definition in vegetated terrain may contain localized areas with systematic errors or outliers which fall outside this accuracy estimate. Gaps may occur due to diminished returns over water and materials with low laser reflectivity, such as black composite roofing.The definition of the ground may be less accurate in isolated pockets of dissimilar terrain/vegetation combinations. Accuracy of the ground surface under or within dense canopy/vegetation may be reduced.
- Missing Data
- Gaps may occur due to diminished returns over water, under canopy and on materials with low laser reflectivity, such as black composite roofing.
Lineage
- Description
- LiDAR data captured using onboard GPS, IMU and network of ground basestations. Trajectories and laser data corrected initially using the AusGeoid09 and then adjusted to AHD using local PSMs. LiDAR data is classified into multiple ground and non-ground classes. Project model key points classified from Ground class automatically; Vegetation (high, medium and low) classified automatically; Bridges classified manually. Ground points are selected from the laser point cloud through iteratively building a triangulated surface model. The building size gives the starting surface point density and the iteration angle determines how close a point has to be to the surface to be included. Ground point thinning is an iterative process similar to ground point classification.
Text
No information provided.
Acquisition Date
- Begin date
- 2016-01-17
- End date
- 2016-01-17
Instrument
- Name
- ALTM Gemini
- Type
- LIDAR
- Platform Type
- Aerial
Acquisition Data (Common)
- Status
- complete
- Assembly
- Single
- Tile Size
- 2 km
Point Cloud Details
- Pulse Mode
- Single Pulse
- Scan Rate (Hz)
- 47Hz
- Scan Frequency (kHz)
- 70kHz
- Scan Angle (degrees)
- 15degrees
- Footprint Size (m)
- 0.30000001m
- Point Density Actual (pts/m2)
- 2.03999996points/m2
- Point Spacing Actual (pts/m)
- 0.69999999points/m2
- Ellipsoid Provided
- 1
- Ellipsoid Vertical Datum
- GRS80 Ellipsoidal (ITRF2005)
- Ellipsoid Format
- LAS 1.3
- Geoid Vertical Datum
- AUSGEOID09
- Environmental Conditions
- 1. Cloud and fog free between the aircraft and the ground. 2. Floodplain/wetland data must be captured during times of base-flow and outside of significant surface inundation due to natural events and /or regulated environmental flows. 3. Flights should not be undertaken during periods of heavy smoke haze.
- Class Level
- 2
- Classification
-
Class Level Class 0 - Unclassified Class 1 - Default Class 2 - Ground Class 3 - Low Vegetation Class 4 - Medium Vegetation Class 5 - High Vegetation Class 6 - Buildings/Structures Class 7 - Low/High Points Class 8 - Model Key Points Class 9- Water Class 10 - Bridge Class 12 - Flightline Overlap Points 2 0 1 1 1 1 1 1 0 1 1 1 1
Aerial Survey Details
- Runs
- 8
- Run Orientation
- NW-SE
- Swath Width
- 725
- Side Overlap
- 30
- Flying Height Unit
- agl metre
- Flight Height
- 1000
About the Metadata Record
- Metadata identifier
- 156fcceb-24c2-5580-9933-33ac0c2120dd
Contact
No information provided.
- Resource Type
- Dataset
- Date info ( Revision )
- 2023-03-22T00:22:23
- Standard Name
- ISO 19115-3:2018
- Profile Name
- DELWP Profile
- Profile Version
- Version 1
- Profile Date
- 2019-05-24
Metadata Constraints
- Classification
- Unclassified
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Associated resources
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