This layer contains the DSM for LiDAR data in the Waikato Region including Hamilton City and Ngaruawahia as well as the surronding area captured in 2019.
- The DEM is available as layer [Waikato - Hamilton LiDAR 1m DEM (2019)](https://data.linz.govt.nz/layer/104773).
- The index tiles are available as layer [Waikato - Hamilton LiDAR Index Tiles (2019)](https://data.linz.govt.nz/layer/104774).
- The LAS point cloud and vendor project reports are available from [OpenTopography](https://portal.opentopography.org/datasets?loc=New%20Zealand).
LiDAR was captured for Hamilton City Council by Aerial Surveys from 3 to 5 November 2019. 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 4.49 pulses/square metre.
Vertical datum is NZVD2016.
Data Acquisition: Airborne Laser Scanner (ALS) data was acquired from a fixed wing aircraft from 3 to 5 November 2019, using Aerial Surveys Optech Galaxy Prime LiDAR system.
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 0.029m; a RMS of 0.029m and the average difference is 0.002m. 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 (Noise) 9 - Water 12 - Overlap 14 - Above Ground 17 - Bridge Deck 18 - High Noise
Above_Ground (14) points was reclassified by LINZ as Unassigned classification (1), and Bridge (10) points was reclassified by LINZ as (17) Bridge Deck before providing the classified point cloud data to Open Topography.
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