ANZLIC Metadata Profile: An Australian/New Zealand Profile of AS/NZS ISO 19115:2005, Geographic information - Metadata
Metadata Standard Version
Reference System Info
Reference System Identifier
Wellington City LiDAR 1m DEM (2019-2020)
This layer contains the DEM for LiDAR data in the Wellington Region including Wellington City as well as the surrounding area captured between 2019 and 2020.
- The DSM is available as layer [Wellington City LiDAR 1m DSM (2019-2020)](https://data.linz.govt.nz/layer/105024).
- The index tiles are available as layer [Wellington City LiDAR Index Tiles (2019-2020)](https://data.linz.govt.nz/layer/105025).
- The LAS point cloud and vendor project reports are available from [OpenTopography](http://opentopo.sdsc.edu/datasets).
LiDAR was captured for Wellington City Council by Aerial Surveys from 20 March 2019 to 14 March 2020. These datasets were generated by Aerial Surveys and their subcontractors. Data management and distribution is by Land Information New Zealand.
- DEM: tif or asc tiles in NZTM2000 projection, tiled into a 1:1,000 tile layout
- 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 16 pulses/square metre.
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 Wellington City 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 Processing: The LiDAR sensor positioning and orientation (POS) was determined using the collected GPS/IMU datasets and Applanix POSPac software.
Base Station Positions: PP-RTX
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 0.041m; a RMS of 0.041m and the average difference is -0.001m. 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 vertical 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 7 - Low Noise 9 - Water 14 - Wire Conductor (Major Transmission Lines) 18 - High Noise
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