Southland LiDAR Index Tiles (2020-2022)
Toitū Te Whenua Land Information New Zealand
This layer contains the DEM for LiDAR data in the Southland Region, captured between 15 December 2020 to 11 May 2022.
- The DEM is available as layer [Southland - LiDAR 1m DEM (2020-2022)](https://data.linz.govt.nz/layer/113172).
- The DSM is available as layer [Southland - LiDAR 1m DSM (2020-2022)](https://data.linz.govt.nz/layer/113173).
- The LAS point cloud and vendor project reports are available from [OpenTopography](https://portal.opentopography.org/datasets?search=new%20zealand).
LiDAR was captured for Environment Southland by Aerial Surveys Ltd between 15 December 2020 to 11 May 2022. These datasets were generated by Aerial Surveys and their subcontractors. Data management and distribution is by Toitū Te Whenua 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 pulses/square metre.
Vertical Accuracy Specification is +/- 0.2m (95%)
Horizontal Accuracy Specification is +/- 1.0m (95%)
Vertical datum is NZVD2016.
Airborne Laser Scanner (ALS) data was acquired from a fixed wing aircraft on 15 December 2020 to 11 May 2022, using Aerial Surveys Optech Orion Galaxy Prime LiDAR system.
Scanner: Optech Galaxy Prime
Flying Height: 2,850m - 2,925m AMGL
Scan Angle: ±25-52 degrees
Scan Frequency: 65 Hz
Pulse Rate: 400kHz
Swath Overlap: 35-55%
Swath Points Per M2: 2-4
The LiDAR sensor positioning and orientation (POS) was determined using the collected GPS/IMU datasets and Applanix POSPac software.
Base Station Positions: PPRTX
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.
Standard Deviation: 0.037-0.044m
Average Difference: 0.00-0.003m
LiDAR is relative to the control check points.
The positional accuracy of the LiDAR data has been checked by overlaying Sounds Surveying Ltdsurveyed 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 with TerraSolid LiDAR processing software into ground and above ground returns using a sparse triangular irregular network (TIN) from the supplied LiDAR points and then classified according to required classes by using automatic iterative process followed by manual correction.Terrascan’s inbuilt macros with different parameters were used to classify low points, ground points, buildings, temporary features and finally vegetation.
The Digital Elevation (DEM) was derived using a point to TIN and TIN to Raster process, using a
Natural Neighbour interpolation. Hydro flattening was performed as per part 7 of PGF version New Zealand National Aerial Lidar Base Specification Jan 2020.
All spatial data for this project provided in terms of New Zealand Transverse Mercator 2000
(NZTM2000) horizontal and New Zealand Vertical Datum (NZVD2016). The data was converted from NZGD2000 ellipsoidal heights into the orthometric height system using the LINZ NZGeoid16
separation model. The products are tiled into NZTopo50 map sheet tiles as noted below.
Classification of the point cloud follows the classification scheme below:
1 - Unclassified
2 - Ground
3 - Low Vegetation
4 - Medium Vegetation
5 - High Vegetation
6 - Buildings
7 - Low Noise
9 - Water
18 - High Noise
The deliverables to LINZ were:
1m gridded bare earth digital elevation model (DEM)
1m gridded digital surface model (DSM)
Classified point cloud
-46.67932816136372 167.67310384642215 -45.239619349842464 169.28235910932236