Lower Hutt City Data - Page 5

Seaweed is the general name for marine plants of the Algae class which grow in long narrow ribbons. Kelp is one of an order (laminariales) of usually large, blade-shaped or vine-like brown algae.

S-57 Object Class: Weed/Kelp

S-57 Acronym: WEDKLP

This data was compiled for the use in the scale range 1:4,000 to 1:22,000.

THIS DATA DOES NOT REPLACE NAUTICAL CHARTS AND MUST NOT BE USED FOR NAVIGATION.

This data is based on the S-57 data format used in Electronic Navigational Charts (ENCs) published and maintained by the New Zealand Hydrographic Authority at Land Information New Zealand (LINZ). Refer to the following link for information about S-57 data: www.linz.govt.nz/hydro/regulation/

This layer contains the DEM for LiDAR data for Hutt City and includes Lower Hutt, Naenae, Taitā, Stokes Valley, Eastbourne, Wainuiomata and the surrounding area captured in 2021.

• The DSM is available as layer Wellington - Hutt City LiDAR 1m DSM (2021)

• The index tiles are available as layer Wellington - Hutt City LiDAR Index Tiles (2021)

• The LAS point cloud and vendor project reports are available from OpenTopography

LiDAR was captured for the Hutt City Council by AAM Ltd from 23 March to 27 March 2021. The dataset was generated by AAM 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 4 pulses/square metre.

Vertical Accuracy Specification is +/- 0.1m (95%)
Horizontal Accuracy Specification is +/- 0.5m (95%)

Vertical datum is NZVD2016.

This layer contains the DSM for LiDAR data for Hutt City and includes Lower Hutt, Naenae, Taita, Stokes Valley, Eastbourne, Wainuiomata and the surrounding area captured in 2021.

• The DEM is available as layer Wellington - Hutt City LiDAR 1m DEM (2021)

• The index tiles are available as layer Wellington - Hutt City LiDAR Index Tiles (2021)

• The LAS point cloud and vendor project reports are available from OpenTopography

LiDAR was captured for the Hutt City Council by AAM Ltd from 23 March to 27 March 2021. The dataset was generated by AAM 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 4 pulses/square metre.

Vertical Accuracy Specification is +/- 0.1m (95%)
Horizontal Accuracy Specification is +/- 0.5m (95%)

Vertical datum is NZVD2016.

This layer contains the index tiles for LiDAR data for Hutt City and includes Lower Hutt, Naenae, Taitā, Stokes Valley, Eastbourne, Wainuiomata and the surrounding area captured in 2021.

• The DEM is available as layer Wellington - Hutt City LiDAR 1m DEM (2021)

• The DSM is available as layer Wellington - Hutt City LiDAR 1m DSM (2021)

• The LAS point cloud and vendor project reports are available from OpenTopography

LiDAR was captured for the Hutt City Council by AAM Ltd from 23 March to 27 March 2021. The dataset was generated by AAM 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 4 pulses/square metre.

Vertical Accuracy Specification is +/- 0.1m (95%)
Horizontal Accuracy Specification is +/- 0.5m (95%)

Vertical datum is NZVD2016.