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Hawke's Bay LiDAR Index Tiles (2020)

This layer contains the index tiles for LiDAR data in the Hawke's Bay region and includes Napier, Hastings, Wairoa, Waipawa, Waipukurau, Māhia and the surrounding area captured in 2020.


- The DEM is available as layer [Hawke's Bay LiDAR 1m DEM (2020)]( https://data.linz.govt.nz/layer/106487/ )


- The DSM is available as layer [Hawke's Bay LiDAR 1m DSM (2020)]( https://data.linz.govt.nz/layer/106488/ )


- The LAS point cloud and vendor project reports are available from [OpenTopography]( https://portal.opentopography.org/datasets?loc=New%20Zealand )


LiDAR was captured for the 5 Hawke’s Bay Councils (Wairoa District Council, Hastings District Council, Napier City Council, Central Hawke’s Bay District Council and Hawke’s Bay Regional Council) by iXblue Ltd from 11 November 2020 to 15 December 2020. The project was managed by the Regional Council. The dataset was generated by iXblue and their subcontractors. Data management and distribution is by Toitū Te Whenua Land Information New Zealand.


Data comprises:


- DEM: tif or asc tiles in NZTM2000 projection, tiledinto 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 8 pulses/square metre.


Vertical Accuracy Specification is +/- 0.2m (95%)

Horizontal Accuracy Specification is +/- 1.0m (95%)


Vertical datum is NZVD2016.

Simple

Identification info

Date (Creation)
2020-11-11
Status
Completed
Point of contact
Role Organisation Electronic mail address
Point of contact

Toitū Te Whenua Land Information New Zealand

customersupport@linz.govt.nz

Spatial representation type
Vector

Spatial resolution

Equivalent scale

Denominator
1000
Topic category
  • Elevation

Extent

Geographic identifier
nzl

Title

ANZMet Lite Country codelist

Date (Publication)
2009-03-31
Edition

Version 1.0

Edition date
2009-03-31
Citation identifier
http://asdd.ga.gov.au/asdd/profileinfo/anzlic-country.xml#Country

Cited responsible party
Role Organisation Electronic mail address
Custodian

ANZLIC the Spatial Information Council

Extent

N
S
E
W


Maintenance and update frequency
Not planned

Resource format

Title

*.xml

Date
Edition

Unknown

ANZLIC Jurisdictions
  • New Zealand

Resource constraints

Classification
Unclassified

Resource constraints

Use limitation

Copyright in this work is owned by Hawke's Bay Regional Council

© Hawke's Bay Regional Council

Use constraints
Copyright

Resource constraints

Use limitation

Released by Toitū Te Whenua Land Information New Zealand under Creative Commons Attribution 4.0 New Zealand (CC BY 4.0) with:


Following Attribution:

"Sourced from the LINZ Data Service and licensed by Hawke's Bay Regional 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

Use constraints
License
Language
English
Character encoding
UTF8

Distribution Information

OnLine resource

https://data.linz.govt.nz/layer/106495-hawkes-bay-lidar-index-tiles-2020/

Resource lineage

Statement

Data Acquisition:


Airborne Laser Scanner (ALS) data was acquired from a fixed wing aircraft from 11 November 2020 to 6 December 2020, using a Lecia TerrainMapper-LN LiDAR system.


Survey Specification:


- Scanner: Lecia TerrainMapper-LN

- Flying height: 1,950 m AGL

- Scan angle: 20 degrees

- Pulse rate: 1,500,000 Hz

- Swath overlap: 20%

- Swath points per M^2: 8.9


Data Processing:


Leica Geosystems HxMap is used for the Lidar Geo-Positioning workflow. Once the accepted geo-positioning lidar dataset is completed, TerraScan by Terrasolid is utilised for subsequent processing.


Base Station: GNSS base stations located at Napier Airport


A custom deformation grid was used to apply the planimetric shift to transform the data to project datum, NZTM2000 based on NZGD2000 (20180701). The grid also applies to New Zealand QuasiGeoid 2016 (NZGeoid2016), to reduce the Lidar elevations to the New Zealand Vertical Datum 2016 (NZVD2016).


Ground Control Points are used to align the LiDAR survey with the required geodetic and vertical datum of the project. A total of 247 locations were surveyed. 125 of the locations were surveyed as Control points and 123 were surveyed for check site geometric accuracy validation. A combination of Smartfix, Faster Static and RTK GNSS surveying methodologies were used for the surveying.


The geopositioning phase of the project is where the raw LIDAR sensor measurements and sensor trajectory data is processed into a set of point clouds for each flightline. Lecia Geosystems HxMap software was used for this and subsequent flightline optimisation. This involves refining the LiDAR sensor calibration through comparison and adjustment of fore and aft viewed points within a flightline as well as between overlapping flightlines.


Please refer to the dataset report for point cloud spatial accuracy check statistics.


The point cloud classification was achieved using a mix of automatic classification algorithms and manual classification, and includes the classification of overlap points, utilising Terrascan.


All product deliverables supplied in terms of NZTM map projection and NZVD2016 vertical datum.


Classification of the point cloud followed the classifications scheme below:


1- Unclassified

2 - Ground

3 - Low Vegetation

4 - Medium Vegetation

5 - High Vegetation

6 - Buildings

7 - Low Noise

9 - Water

17 - Bridge deck

18 - High Noise


The classification was undertaken in accord with the project specification (Toitū Te Whenua Land Information New Zealand, 2020, PGF Version: New Zealand National Aerial LiDAR Base Specification, January 2020).


The raster DEM and DSM have grid cell size of 1m. The DEM was created using linear interpolation of a TIN created from the Ground class points and hydro-flattening features. The DSM was created using points of return type, first, first of many and only and excluding Noise and Water class points. The maximum value binning method was applied and where gaps existed in the model these cells were populated with hydro-flattened DEM cell values


Hydro-flattening has been performed on the DEM with the incorporation of hydro-flattening features into DEM where islands are 5,000 sq m or larger, ponds and lakes are 10,000 sq m or larger and rivers are ≥30m nominal width. These features are used in the creation of the DEM to reduce the presence of artifacts in the DEM where the point cloud points alone aren’t sufficient to model the landscape. For work where the data is to be used for detailed hydrological modelling hydro-enforcement and enhancement may be required.


The deliverables to LINZ were:


1m gridded bare earth digital elevation model (DEM)

1m gridded digital surface model (DSM)

Classified point cloud

Hierarchy level
Dataset
Other

dataset

Reference System Information

Reference system identifier
2193

Metadata constraints

Use limitation

Copyright of this work is owned by Toitū Te Whenua Land Information New Zealand

© LINZ

Use constraints
Copyright

Metadata constraints

Use limitation

Released by Toitū Te Whenua Land Information New Zealand under Creative Commons Attribution 4.0 International (CC BY 4.0) with:


Following Attribution:


"Sourced from the LINZ Data Service and licensed for reuse under CC BY 4.0"


For details see https://www.linz.govt.nz/data/licensing-and-using-data/attributing-linz-data

Use constraints
License

Metadata

Metadata identifier
ac365c56-98ba-f8b7-6a84-f7c6bc131019

Language
English
Character encoding
UTF8
Contact
Role Organisation Electronic mail address
Point of contact

Toitū Te Whenua Land Information New Zealand

customersupport@linz.govt.nz

Type of resource

Resource type
Dataset
Name

dataset

Date info (Revision)
2022-01-13

Metadata standard

Title

ANZLIC Metadata Profile: An Australian/New Zealand Profile of AS/NZS ISO 19115:2005, Geographic information - Metadata

Edition

1.1

 
 

Spatial extent

N
S
E
W


Keywords

ANZLIC Jurisdictions
New Zealand

Provided by

Access to the catalogue
Read here the full details and access to the data.


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