ANZLIC Metadata Profile: An Australian/New Zealand Profile of AS/NZS ISO 19115:2005, Geographic information - Metadata
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Auckland North LiDAR Index Tiles (2016-2018)
This layer contains the Index Tiles for LiDAR data in the northern Auckland Region captured between 2016 and 2018.
- The DSM is available as layer [Auckland North LiDAR 1m DSM (2016-2018)](https://data.linz.govt.nz/layer/105089).
- The LAS point cloud and vendor project reports are available from [OpenTopography](https://portal.opentopography.org/datasets?loc=New%20Zealand).
LiDAR was captured for Auckland Council by Aerial Surveys from 16 August 2016 to 9 August 2018. These datasets were generated by Aerial Surveys and their subcontractors. Data management and distribution is by Land Information New Zealand.
- DSM: tif or asc tiles in NZTM2000 projection, tiled into a 1:1,000 tile layout
- Point cloud: las tiles in NZTM2000 projection, tiled into a 1:1,000 tile layout
Pulse density specification is at a minimum of 4 pulses/square metre.
Vertical Accuracy Specification is +/- 0.2m (95%).
Horizontal Accuracy Specification is +/- 0.6m (95%).
Released by LINZ under Creative Commons Attribution 4.0 New Zealand (CC BY 4.0) with:
Following Attribution: "Sourced from the LINZ Data Service and licensed by Auckland Council, for re-use under CC BY 4.0." For details see: https://www.linz.govt.nz/data/licensing-and-using-data/attributing-elevation-or-aerial-imagery-data
Data Acquisition: Airborne Laser Scanner (ALS) data was acquired from a fixed wing aircraft 16 August 2016 to 9 August 2018, using Aerial Surveys Optech Orion H300 LiDAR system and a Optech Galaxy system.
Please refer to survey report for survey specifications.
Data Processing: The LiDAR sensor positioning and orientation (POS) was determined using the collected GPS/IMU datasets and Applanix POSPac software.
Please refer to survey report for benchmark and base station information.
The POS data was combined with the LiDAR range files and used to generate LIDAR point clouds in NZTM and ellipsoidal heights. This process was undertaken using Optech LMS LiDAR processing software. The data was checked for completeness of coverage. The relative fit of data in the overlap between strips was also checked.
The height accuracy of the ground classified LiDAR points was checked using open land-cover survey check site data collected by Sounds Surveying Ltd. This was done by calculating height differences statistics between a TIN of the LiDAR ground points and the checkpoints. The standard deviation statistic is 0.057 m; a RMS of 0.057 m and the average difference is -0.003 m. LiDAR is relative to the control check points.
The positional accuracy of the LiDAR data has been checked by overlaying Sounds Surveying Ltd surveyed data over the LiDAR data displayed coded by intensity. The data was found to fit well in position.
The point cloud data was then classified withTerraSolid LiDAR processing software into ground and above ground returns using automated routines tailored to the project landcover and terrain.
All product deliverables supplied in terms of NZTM map projection and NZVD2016 height datum.
Classification of the point cloud followed the classification scheme below: 1 - Unclassified 2 - Ground 3 - Low Vegetation 4 - Medium Vegetation 5 - High Vegetation 6 - Building 12 - Overlap
These classifications were not mentioned in survey report but were found to be accuate for publication: 7 - Noise 8 - Model Key-Point 9 - Water 10 - Bridge Deck (Misclassified)
Rail (10) points was reclassified by LINZ as Bridge Deck (17) before providing the classified point cloud data to Open Topography.
There were also a small number of synthetic point in these files. These were deemed to be by LINZ a result of Classification Level 3 and does not affect the integrity of these classified point cloud files, CL3_BA30_2016_1000_0844 CL3_BA31_2016_1000_2733
Lakes and large rivers were hydroflattened in the Bare Earth Digital Elevation Model.
The deliverables to LINZ were:
1m gridded bare earth digital elevation model (DEM) 1m gridded digital surface model (DSM) Classified point cloud
Copyright of this work is owned by Land Information New Zealand