Stewart Island 1977 to NZGD2000 Conversion

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Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

3466
16
Updated
09 Aug 2016

This dataset was last updated on LINZ Data Service on 09 Aug 2016.

The STI77-NZGD2000 grid enables the conversion of normal-orthometric heights from the Stewart Island 1977 local vertical datum directly to New Zealand Geodetic Datum 2000 (NZGD2000) ellipsoidal heights.

STI77-NZGD2000 is published on a one arc-minute grid (approximately 1.8 kilometres) extending over the benchmarks that nominally define the extent of the Stewart Island 1977 vertical datum (167.2° E to 168.8° E, 46.5° S to 47.5° S).
The conversion value is represented by the attribute “delta”, in metres.

This grid is a combination of New Zealand Quasigeoid 2016 NZGeoid2016 and the STI77-NZVD2016 height conversion grid. Where NZGeoid2016 is the reference surface for the New Zealand Vertical Datum 2016 (NZVD2016), while the STI77-NZVD2016 grid models the difference between the Stewart Island 1977 vertical datum and NZVD2016 using the LINZ GPS-levelling marks.

More information on converting heights between vertical datums can be found on the LINZ website.

Layer ID 53441
Data type Vector point
Feature count 5917
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Gisborne 1926 to NZGD2000 Conversion

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Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

3413
19
Updated
02 Aug 2016

This dataset was last updated on LINZ Data Service on 02 Aug 2016.

The GSB26-NZGD2000 grid enables the conversion of normal-orthometric heights from the Gisborne 1926 local vertical datum directly to New Zealand Geodetic Datum 2000 (NZGD2000) ellipsoidal heights.

GSB26-NZGD2000 is published on a one arc-minute grid (approximately 1.8 kilometres) extending over the benchmarks that nominally define the extent of the Gisborne 1926 vertical datum (177.0° E to 178.6° E, 37.4° S to 39.0° S).

The conversion value is represented by the attribute “delta”, in metres.

This grid is a combination of New Zealand Quasigeoid 2016 NZGeoid2016 and the GSB26-NZVD2016 height conversion grid. Where NZGeoid2016 is the reference surface for the New Zealand Vertical Datum 2016 (NZVD2016), while the GSB26-NZVD2016 grid models the difference between the Gisborne 1926 vertical datum and NZVD2016 using the LINZ GPS-levelling marks.

More information on converting heights between vertical datums can be found on the LINZ website.

Layer ID 53429
Data type Vector point
Feature count 9409
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Canterbury - Cheviot LiDAR 1m DEM (2015)

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

3406
61
Added
10 Jan 2017

This dataset was first added to LINZ Data Service on 10 Jan 2017.

This layer contains the DEM for LiDAR data from the Cheviot area captured in 2015.
The DSM is available as layer Canterbury - Cheviot LiDAR 1m DSM (2015).
The index tiles are available as layer Canterbury - Cheviot LiDAR Index Tiles (2015).
The LAS point cloud and vendor project reports are available from OpenTopography.

Lidar was captured for Environment Canterbury Regional Council by Aerial Surveys on 1 April 2015, under survey name Hurunui. The datasets were generated by Aerial Surveys and their subcontractors. The survey area includes the Cheviot township area. Data management and distribution is by Land Information New Zealand.

Data comprises:
•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

Planned pulse density is 1.3 pulses/square metre.

Vertical accuracy specification is per the ICSM LiDAR Acquisition Specifications and Tender Template NZ Version March 2011.

Vertical datum is NZVD2016.

Layer ID 53548
Data type Grid
Resolution 1.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

One Tree Point 1964 to NZVD2016 Conversion

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Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

3427
37
Updated
03 Aug 2016

This dataset was last updated on LINZ Data Service on 03 Aug 2016.

The OTP64-NZVD2016 grid enables the conversion of normal-orthometric heights from the One Tree Point 1964 local vertical datum to the New Zealand Vertical Datum 2016 (NZVD2016).

The conversion value is represented by the attribute “O”, in metres.

This conversion and NZVD2016 are formally defined in the LINZ standard LINZS25009.

OTP64-NZVD2016 is published on a two arc-minute grid (approximately 3.6 kilometres) extending over the benchmarks that nominally define the extent of the One Tree Point 1964 vertical datum (171.3° E to 174.4° E, 40.4° S to 42.7° S).

The height conversion grid models the difference between the One Tree Point 1964 vertical datum and NZVD2016 using the LINZ GPS-levelling marks. From the GPS-levelling marks the expected accuracy of OTP64-NZVD2016 is better than 1 centimetre (95% Confidence interval).

More information on converting heights between vertical datums can be found on the LINZ website.

Layer ID 53440
Data type Vector point
Feature count 5548
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Napier 1962 to NZVD2016 Conversion

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

3400
55
Updated
03 Aug 2016

This dataset was last updated on LINZ Data Service on 03 Aug 2016.

The NPR62-NZVD2016 grid enables the conversion of normal-orthometric heights from the Napier 1962 local vertical datum to the New Zealand Vertical Datum 2016 (NZVD2016).

The conversion value is represented by the attribute “O”, in metres.

This conversion and NZVD2016 are formally defined in the LINZ standard LINZS25009.

NPR62-NZVD2016 is published on a two arc-minute grid (approximately 3.6 kilometres) extending over the benchmarks that nominally define the extent of the Napier 1962 vertical datum (175.6° E to 177.9° E, 38.6° S to 40.6° S).

The height conversion grid models the difference between the Napier 1962 vertical datum and NZVD2016 using the LINZ GPS-levelling marks. From the GPS-levelling marks the expected accuracy of NPR62-NZVD2016 is better than 2 centimetres (95% Confidence interval).

More information on converting heights between vertical datums can be found on the LINZ website.

Layer ID 53436
Data type Vector point
Feature count 4270
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Taranaki 1970 to NZVD2016 Conversion

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

3418
26
Updated
03 Aug 2016

This dataset was last updated on LINZ Data Service on 03 Aug 2016.

The TNK70-NZVD2016 grid enables the conversion of normal-orthometric heights from the Taranaki 1970 local vertical datum to the New Zealand Vertical Datum 2016 (NZVD2016).

The conversion value is represented by the attribute “O”, in metres.

This conversion and NZVD2016 are formally defined in the LINZ standard LINZS25009.

TNK70-NZVD2016 is published on a two arc-minute grid (approximately 3.6 kilometres) extending over the benchmarks that nominally define the extent of the Taranaki 1970 vertical datum (173.6° E to 176.4° E, 38.3° S to 41.1° S).

The height conversion grid models the difference between the Taranaki 1970 vertical datum and NZVD2016 using the LINZ GPS-levelling marks. From the GPS-levelling marks the expected accuracy of TNK70-NZVD2016 is better than 2 centimetres (95% Confidence interval).

More information on converting heights between vertical datums can be found on the LINZ website.

Layer ID 53444
Data type Vector point
Feature count 7225
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Canterbury - Timaru Rivers LiDAR Index Tiles (2014)

Licence

Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

3395
47
Added
06 Mar 2017

This dataset was first added to LINZ Data Service on 06 Mar 2017.

This layer contains the index tiles for LiDAR data from the Timaru river areas captured in 2014.
The DEM is available as layer Canterbury - Timaru Rivers LiDAR 1m DEM (2014).
The DSM is available as layer Canterbury - Timaru Rivers LiDAR 1m DSM (2014).
The LAS point cloud and vendor project reports are available from OpenTopography.

Lidar was captured for Environment Canterbury Regional Council by Aerial Surveys in July and August 2014. The datasets were generated by Aerial Surveys and their subcontractors. The survey area includes the Geraldine and Temuka township areas and the lower Rangitata, Orari, and Opihi river corridors. Data management and distribution is by Land Information New Zealand.

Data comprises:
•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

Planned pulse density is > 1 pulse/square metre.

Vertical datum is NZVD2016.

Layer ID 53574
Data type Vector polygon
Feature count 2111
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Canterbury - Amberley LiDAR 1m DEM (2012)

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

3351
77
Added
10 Jan 2017

This dataset was first added to LINZ Data Service on 10 Jan 2017.

This layer contains the DEM for LiDAR data from the Amberley area captured in 2012.
The DSM is available as layer Canterbury - Amberley LiDAR 1m DSM (2012).
The index tiles are available as layer Canterbury - Amberley LiDAR Index Tiles (2012).
The LAS point cloud and vendor project reports are available from OpenTopography.

Lidar was captured for Environment Canterbury Regional Council by Aerial Surveys on 10 and 17 July 2012. The datasets were generated by Aerial Surveys and their subcontractors. The survey area includes the Amberley and Waipara township areas and adjacent coastal strips and river corridors. Data management and distribution is by Land Information New Zealand.

Data comprises:
•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 is >1 pulse/square metre.

Vertical accuracy specification is +/- 0.20m (95%).
Vertical datum is NZVD2016.

Layer ID 53546
Data type Grid
Resolution 1.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

NZ Airborne Gravity Bouguer Anomalies at Ground Surface (2013-2014)

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Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

3258
100
Updated
30 Jan 2017

This dataset was last updated on LINZ Data Service on 30 Jan 2017.

The national airborne gravity dataset is comprised of more than 50,000 linear km of flight observations, covering the three main islands of New Zealand and up to 10km offshore.

This dataset provides a 1 arc minute raster image of the Bouguer anomalies, which have been downward continued to the ground surface (McCubbine et al, 2017).

The national airborne gravity dataset was collected as a joint project between Land Information New Zealand (LINZ), GNS Science (GNS) and Victoria University of Wellington (VUW). The airborne survey was completed in a total of eight months, over two campaigns: August – October 2013, and February – June 2014.

Users may also be interested in other layers created for the free-air anomalies at ground surface and the along track observations from the gravity flight lines at flight elevation NZ Airborne Gravity Free-Air Anomalies at Ground Surface (2013-2014) and NZ Airborne Gravity Flight Lines at Elevation (2013-2014).

McCubbine, J. Stagpoole, V. Caratori-Tontini, F. Amos, M. Smith, E. and Winefield, R. (2017). Gravity anomaly grids for the New Zealand region. Manuscript submitted for publication New ZealandJournal of Geology and Geophysics.

Layer ID 53530
Data type Grid
Resolution About 1579.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Gisborne 1926 to NZVD2016 Conversion

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

3325
24
Updated
03 Aug 2016

This dataset was last updated on LINZ Data Service on 03 Aug 2016.

The GSB26-NZVD2016 grid enables the conversion of normal-orthometric heights from the Gisborne 1926 local vertical datum to the New Zealand Vertical Datum 2016 (NZVD2016).

The conversion value is represented by the attribute “O”, in metres.

This conversion and NZVD2016 are formally defined in the LINZ standard LINZS25009.

GSB26-NZVD2016 is published on a two arc-minute grid (approximately 3.6 kilometres) extending over the benchmarks that nominally define the extent of the Gisborne 1926 vertical datum (177.0° E to 178.6° E, 37.4° S to 39.0° S).

The height conversion grid models the difference between the Gisborne 1926 vertical datum and NZVD2016 using the LINZ GPS-levelling marks. From the GPS-levelling marks the expected accuracy of GSB26-NZVD2016 is better than 2 centimetres (95% Confidence interval).

More information on converting heights between vertical datums can be found on the LINZ website.

Layer ID 53430
Data type Vector point
Feature count 2401
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed
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