LiDAR Upper Darling 2013-2014 (Acquisition of LiDAR, imagery and derived products for the Upper Darling AOI)  

Authors / CoAuthors

Abstract

The data covers an area of approximately 17000 sq km in the Condamine- Culgoa catchment area, located between St George, QLD and Brewarrina, NSW. A set of seamless products were produced including hydro-flattened bare earth DEMs, DSMs, Canopy Height Models (CHM) and Foliage Cover Models (FCM). The outputs of the project are compliant with National ICSM LiDAR Product Specifications and the NEDF.

Product Type

dataset

eCat Id

100669

Contact for the resource

Keywords

Australian and New Zealand Standard Research Classification: Fields of Research

• Earth Sciences

( {1} )

• HVC_144648

( {1} )

• Elevation

( {1} )

• Lidar

( {1} )

• Published_Internal

Publication Date

Creation Date

2014-08-01T00:00:00

Security Constraints

Australian Government Security ClassificationSystem    

Classification - unclassified

Legal Constraints

Creative Commons Attribution 4.0 International Licence    

Access - license

Use - license

Status

Purpose

Height model of the Upper Darling AOI

Maintenance Information

asNeeded

Topic Category

geoscientificInformation

Series Information

Lineage

LiDAR survey NEDF Metadata Acquisition Start Date: Thursday 28 November 2013 Acquisition End Date: Friday 31 January 2014 Sensor: LiDAR Device Name: IGI LM7800 (Riegl LMS-Q780) Flying Height (AGL): 1400 INS/IMU Used: IGI LM7800 (IMU-IIf) Number of Runs: 229 Number of Cross Runs: 4 Swath Width: 1617 Flight Direction: E Swath (side) Overlap: 60 Horizontal Datum: GDA94 Vertical Datum: GRS80 Map Projection: MGA55 Description of Aerotriangulation Process Used: NA Description of Rectification Process Used: NA Spatial Accuracy Horizontal: 0.30 Spatial Accuracy Vertical: 0.15 Average Point Spacing (per/sqm): 2.5 Laser Return Types: Multiple returns Data Thinning: none Laser Footprint Size: 0.35 Calibration certification (Manufacturer/Cert. Company): - Limitations of the Data: The workflow and quality assurance processes were designed to achieve the Level 3 requirement for ¿removal of significant anomalies which remain in the ground class (2) and achieve a ground point misclassification rate of 2% or less. The classification accuracy was not measured. Surface Type: Mixed Product Type: Mass Points Classification Type: C3 Grid Resolution: 1 Distribution Format: LAS Processing/Derivation Lineage: The IMU and post processed airborne GPS logs were used to generate the LiDAR point cloud from the waveform instrument data. Raw LiDAR strips were levelled to establish internal consistency, merged and 1km x 1km tiles in LAS v1.3 format were created. An automatic classification algorithm was applied in Terrasolid software to produce an initial classification of ground (2) and unclassified (1). High and low point noise were The ground classification was improved manually by visually scanning the ground surface and reassigning points from ground to unclassified to remove spikes and by assigning unclassified points to ground where the ground surface lacked sufficient detail to describe the terrain (ie large TIN triangles). WMS: ? On completion of the ground classification automatic algorithms were used to classify unclassified points to low vegetation (3), medium vegetation (4), high vegetation (5), buildings (6). Water (9) and bridges (10) have been classified to Level 4. WMS: -?

Parent Information

Extents

[-30.125, -28, 146.1875, 148.6875]

Reference System

GDA94 / MGA zone 55 (EPSG:28354)

Spatial Resolution

1 Metre

Service Information

Associations

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