Authors / CoAuthors
Abstract
This project consists of data that has been reprocessed by RPS and AAM for the purpose of creating an improved Victorian coastal DEM including contours based on the original data acquired in 2007. The purpose of this project is to reclassify the original level 2 classification LiDAR data into level 3 for input to a higher accuracy ICSM Level 3 classification (Level 3 DEM). LiDAR (Light Detection and Ranging) is an airborne remote sensing technique for rapid collection of terrain data. The sensor used for this LiDAR project collected XYZ and Intensity data for first and last return by bouncing a pulse from the aircraft to the surface that enables the height and intensity values to be calculated. From the raw LiDAR data, a suite of elevation products was generated including DEM and Contours. Project Products: DEM, Contours, raw LiDAR.
Product Type
dataset
eCat Id
87824
Contact for the resource
Custodian
Owner
Custodian
Cnr Jerrabomberra Ave and Hindmarsh Dr GPO Box 378
Canberra
ACT
2601
Australia
Keywords
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- Airborne Digital Data
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- Victoria
- Australian and New Zealand Standard Research Classification (ANZSRC)
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- Earth Sciences
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- Published_Internal
Publication Date
2015-01-01T00:00:00
Creation Date
Security Constraints
Legal Constraints
Restrictive GA Licence (please provide TRIM link)
Access - restricted
Use - license
Status
Purpose
Maintenance Information
asNeeded
Topic Category
elevation
Series Information
Lineage
LiDAR Details: Processing Lineage: Laser strikes were classified into ground and non-ground points using a specifically designed algorithm applied across the entire project area. The quality of the classification was further improved by manual checking and editing of the ALS data using intensity imagery and orthophoto imagery as a reference. Following classification, LiDAR files were exported into XYZI textfile format. Logical Consistency: ALS strikes on water bodies have been omitted from the dataset. The definition of the ground under trees may be less accurate. Completeness: The LiDAR datasets representing various ground and non-ground features are complete for the defined project extents. NEDF Metadata Acquisition Start Date: Friday, 21 September 2007 Acquisition End Date: Monday, 25 February 2013 Sensor: LiDAR Device Name: Leica ALS50-II Flying Height (AGL): UNK INS/IMU Used: Honeywell URIS Number of Runs: UNK Number of Cross Runs: UNK Swath Width: UNK Flight Direction: UNK Swath (side) Overlap: UNK Horizontal Datum: GDA94 Vertical Datum: AHD71 AUSGeoid09 Map Projection: GDA94 Description of Aerotriangulation Process Used: UNK Description of Rectification Process Used: UNK Spatial Accuracy Horizontal: 0.35 Spatial Accuracy Vertical: 0.25 Average Point Spacing (per/sqm): UNK Laser Return Types: 4 pulses (FWF) Data Thinning: UNK Laser Footprint Size: 0 Calibration certification (Manufacturer/Cert. Company): UNK Limitations of the Data: N/A Surface Type: LiDAR Product Type: Mass Points Grid Resolution: 1 Distribution Format: LAS Processing/Derivation Lineage: LiDAR Details: Processing Lineage: Laser strikes were classified into ground and non-ground points using a specifically designed algorithm applied across the entire project area. The quality of the classification was further improved by manual checking and editing of the ALS data using intensity imagery and orthophoto imagery as a reference. Following classification, LiDAR files were exported into XYZI textfile format. Logical Consistency: ALS strikes on water bodies have been omitted from the dataset. The definition of the ground under trees may be less accurate. Completeness: The LiDAR datasets representing various ground and non-ground features are complete for the defined project extents. WMS: UNK?
Parent Information
Extents
[-38.876332, -38.001647, 140.931609, 144.208238]
Reference System
GDA94 / MGA zone 55 (EPSG:28355)
Spatial Resolution
Service Information
Associations
Downloads and Links
Source Information
This project consists of data that has been reprocessed by RPS and AAM for the purpose of creating an improved Victorian coastal DEM including contours based on the original data acquired in 2007. The purpose of this project is to reclassify the original level 2 classification LiDAR data into level 3 for input to a higher accuracy ICSM Level 3 classification (Level 3 DEM). LiDAR (Light Detection and Ranging) is an airborne remote sensing technique for rapid collection of terrain data. The sensor used for this LiDAR project collected XYZ and Intensity data for first and last return by bouncing a pulse from the aircraft to the surface that enables the height and intensity values to be calculated. From the raw LiDAR data, a suite of elevation products was generated including DEM and Contours. Project Products: DEM, Contours, raw LiDAR.