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  • This layer contains the DSM for LiDAR data for Bay of Plenty captured between 2018 and 2019. - The DEM is available as layer [Bay of Plenty LiDAR 1m DEM (2018-2019)](https://data.linz.govt.nz/layer/104736). - The index tiles are available as layer [Bay of Plenty LiDAR Index Tiles (2018-2019)](https://data.linz.govt.nz/layer/104742). - The LAS point cloud and vendor project reports are available from [OpenTopography](https://portal.opentopography.org/datasets?loc=New%20Zealand). LiDAR was captured for BOPLASS Limited by AAM New Zealand from 7 December 2018 to 13 April 2019. These datasets were generated by AAM New Zealand and their subcontractors. 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 specification is at a minimum of 2 pulses/square metre. Vertical Accuracy Specification is +/- 0.2m (95%) Horizontal Accuracy Specification is +/- 1.0m (95%) Vertical datum is NZVD2016

  • This layer contains the DEM for LiDAR data for Bay of Plenty captured between 2018 and 2019. - The DSM is available as layer [Bay of Plenty LiDAR 1m DSM (2018-2019)](https://data.linz.govt.nz/layer/104741). - The index tiles are available as layer [Bay of Plenty LiDAR Index Tiles (2018-2019)](https://data.linz.govt.nz/layer/104742). - The LAS point cloud and vendor project reports are available from [OpenTopography](https://portal.opentopography.org/datasets?loc=New%20Zealand). LiDAR was captured for BOPLASS Limited by AAM New Zealand from 7 December 2018 to 13 April 2019. These datasets were generated by AAM New Zealand and their subcontractors. 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 specification is at a minimum of 2 pulses/square metre. Vertical Accuracy Specification is +/- 0.2m (95%) Horizontal Accuracy Specification is +/- 1.0m (95%) Vertical datum is NZVD2016

  • The collection of datasets describes the geology of the Christchurch urban area.

  • This is the Geological Map of New Zealand (Mainland) dataset collection produced by GNS Science. The mapping frame within which the features have been observed is typically defined as surface geology (i.e. the bedrock and superficial deposits that are exposed at the topographic surface or would be visible if the overlying soil was removed). The data structure complies with the GeoSciML 4.1 standard, where relevant, and uses the appropriate CGI Controlled Vocabularies. This dataset collection should be cited as Heron, D.W. (custodian) 2023: Geological Map of New Zealand 1:250 000 (4th ed.) [digital data]. Lower Hutt (NZ): GNS Science. (GNS Science geological map; 1). https://doi.org/10.21420/5XTJ-5718.

  • This dataset contains geospatial datasets for sedimentary basins in the Northwest Province (Taranaki, Deepwater Taranaki, and Reinga-Northland basins), produced and compiled as part of GNS Science's "Atlas of Petroleum Prospectivity" programme (APP). APP is synthesising the wealth of new and existing information and knowledge within GNS Science and other open-file sources, to produce a nationally-significant baseline reference dataset that summarises the current understanding of the petroleum prospectivity of New Zealand's offshore sedimentary basins. Polygon, point, and polyline features are organised thematically into Feature Datasets, each of which contains multiple Feature Classes. Raster datasets are included at the highest hierarchical level of the database. The co-ordinate system used for the database is New Zealand Transverse Mercator, based on the NZGD2000 datum. Database compilation was undertaken using ArcGIS 10.3.1 for Desktop (version 10.3.1.4959). For further information on these data, please refer to: Arnot, M.J. and Bland, K.J. et al. (Compilers), 2016. Atlas of Petroleum Prospectivity, Northwest Province: ArcGIS geodatabase and technical report. GNS Science Data Series 23b.

  • This is the Geological Map of New Zealand dataset collection produced by GNS Science. The mapping frame within which the features have been observed is typically defined as surface geology (i.e. the bedrock and superficial deposits that are exposed at the topographic surface or would be visible if the overlying soil was removed). The data structure complies with the GeoSciML 4.1 standard, where relevant, and uses the appropriate CGI Controlled Vocabularies. This dataset collection should be cited as Heron, D.W. (custodian) 2023: Geological Map of New Zealand 1:250 000 (4th ed.) [digital data]. Lower Hutt (NZ): GNS Science. (GNS Science geological map; 1). https://doi.org/10.21420/5XTJ-5718.

  • This collection of datasets contains the 1:1 000 000 geological data for New Zealand. These datasets are a product of the Geological Map of New Zealand 1:1 000 000 project and were produced by GNS Science. They represents the most current mapping of the geology of New Zealand at a scale of 1:1 000 000. The datasets are stored in an ESRI vector geodatabase and exported to ArcGIS Server. The datasets comprises separate feature classes describing the geology. The mapping frame for the majority of datasets is defined as 'surface geology', but some are either 'base of overlying geology' or 'top of basement'. The data should not be used at scales beyond that for which it was prepared. The spatial accuracy is estimated to be no better than +/- 1000 m. The datasets are available for purchase as feature classes in ESRI file geodatabase and shapefile GIS formats and freely consumable as a layer in Web Map Services and Web Feature Services from ArcGIS Server. DOI: https://doi.org/10.21420/VRX8-CD71 Cite as: GNS Science. 2014. NZL GNS 1:1M geology. 2nd edition [Data set]. Lower Hutt (NZ): GNS Science. https://doi.org/10.21420/VRX8-CD71.

  • This collection of datasets has been superseded by a new edition (2nd edition, 2018) available here: https://data.gns.cri.nz/metadata/srv/eng/catalog.search#/metadata/43B63222-FCC9-4C1D-84EF-FC5FB2F4790F. This 1st edition has been kept as a historical archive and is available on request. The collection of datasets contains the 1:250 000 geological data for New Zealand. These datasets are a product of the QMAP Geological Map of New Zealand Project and were produced by GNS Science. At the time of publication they represented the most current mapping for New Zealand at a scale of 1:250 000. The datasets are stored in an ESRI vector geodatabase and exported to ArcGIS Server. The datasets comprises multiple geological features with each having attributes that describes them.

  • The collection of datasets describes the geomorphology of the eastern Canterbury area. Its features describe landforms and surficial processes that have acted upon the area in the late Quaternary. DOI: https://doi.org/10.21420/R8DZ-VQ04 Cite data as: GNS Science. (2015). NZL GNS GM3 Eastern Canterbury Geomorphology [Data set]. GNS Science. https://doi.org/10.21420/R8DZ-VQ04

  • This is the Geology of the Napier-Hastings urban area dataset collection produced by GNS Science. The mapping frame within which the features have been observed is typically defined as surface geology (i.e. the bedrock and superficial deposits that are exposed at the topographic surface or would be visible if the overlying soil was removed). The data structure complies with the GeoSciML 4.1 standard, where relevant, and uses the appropriate CGI Controlled Vocabularies. This dataset collection should be cited as Lee JM, Begg JG, Bland KJ. 2020. Geological map of the Napier-Hastings urban area [digital data]. Lower Hutt (NZ): GNS Science. (GNS Science geological map; 7a). https://doi.org/10.21420/QCQT-G461. Additional products associated with this dataset are available from https://doi.org/10.21420/4CR3-9M83.