Slope angle is calculated from the change in elevation over distance. In this case distance equals pixel size (resolution). Slope angle is expressed in degrees from the horizontal. This slope data is generated using Manaaki Whenua's 15m resolution Digital Elevation Model (DEM) and moving a 3x3 pixel neighbourhood across the DEM calculating the slope angle for each of the central pixels from the elevation differences to its neighbours.

This Story Map is designed to help teachers to create a web application that is similar to the National Geographic Map Maker app.This application is made with the Atlas ArrcGIS Online Instant App TemplateNo audio is included in any of the videos in this StoryMap

This layer comes from the Threatened Environment Classification (TEC) version 2012, which is a source of national scale background information on New Zealand's land environments. Specifically, it shows how much native (indigenous) vegetation remains within land environments, and how past vegetation loss and legal protection are distributed across New Zealand's landscape. The TEC uses indigenous vegetation as a surrogate for indigenous biodiversity. This includes indigenous ecosystems, habitats and communities: the indigenous species, subspecies and varieties that are supported by indigenous vegetation, and their genetic diversity. The TEC is most appropriately applied to help identify places that are priorities for formal protection against clearance and/or incompatible land-uses, and for ecological restoration to restore lost species, linkages and buffers. The TEC is a combination of three national databases: Land Environments New Zealand (LENZ), classes of the 4th Land Cover Database (LCDB4, based on 2012 satellite imagery) and the protected areas network (version 2012, reflecting areas legally protected for the purpose of natural heritage protection).

For more information see: Cieraad E, Walker S, Price R, Barringer J. 2015. An updated assessment of indigenous cover remaining and legal protection in New Zealand's land environments. New Zealand Journal of Ecology 39(2).

A group of published and unpublished geological maps from the 1850-1890 era that are part of the Historic Geological Map Archive under the Regional Geological Map Archive and Datafile Nationally Significant Database and Collection. The geological maps cover all or parts of New Zealand and its islands and may include maps of parts of Antarctica, Southern Ocean and South Pacific. The unpublished geological maps are commonly preliminary compilations at larger scale with additional detail that were simplified for publication. These geological maps contain interpretation that is generally superseded by more recent geological maps. In many places, these geological maps show or use information about rock outcrops or landforms that are no longer visible, for example, due to erosion, excavation, building and road construction, dam flooding, or forestation.

The original paper or film physical format of the 1016 maps (April 2025 count) in the group are stored in a secure archive at GNS Science building in Avalon, Lower Hutt. These are available for viewing on request. Digital scanned versions of these maps are also available via the GNS Science Dataset Catalogue - a Search query ‘RGMAD Archive 1850-1890 Era’ will return the geological maps associated with this era and each map can be viewed, streamed into GIS software or downloaded from links provided.

DOI: https://doi.org/10.21420%2Fndka-s585?x=y

Cite as: GNS Science. (2019). RGMAD Archive 1850-1890 Era. GNS Science. https://doi.org/10.21420/NDKA-S585?x=y

This layer is a visualisation of the baseline extent of Highly Productive Land, represented here as Land Use Capability classes 1, 2 and 3, as mapped in the New Zealand Land Resource Inventory, and correlated according to the national legend. The actual boundaries of Highly Productive Land in a particular location will differ to this visualisation, depending on the relevant council rural and urban zoning boundaries as defined in the National Policy Statement for Highly Productive Land (refer to clause 3.5). Please refer to your local council for this information.

By late 2025 it is expected that each regional council will also have remapped the extent of Highly Productive Land for their region, following the requirements in the National Policy Statement for Highly Productive Land (refer to clause 3.4). When this is done that updated regional map will replace the map presented here. Please refer to your local council for this information.

Full information on the National Policy Statement for Highly Productive Land is available https://www.mpi.govt.nz/agriculture/farm-management-the-environment-and-land-use/national-policy-statement-for-highly-productive-land-2022/">here.

For full definition and description please refer to the https://digitallibrary.landcareresearch.co.nz/digital/collection/p20022coll14/id/74/">Land Use Capability Survey Handbook.

Taupō District Council large file download application. Source lidar, contour and imagery files are available for download. Flood Hazard data relating to Plan Change 34 of the Taupō District Plan is also available for download. Taupō District Council does not make any representation or give any warranty as to the accuracy or exhaustiveness of the data provided for download via this application. The data provided is indicative only and does not purport to be a complete database of all information in Taupō District Council's possession or control. Taupō District Council shall not be liable for any loss, damage, cost or expense (whether direct or indirect) arising from reliance upon or use of any data provided, or Council's failure to provide this data.

This layer provides a representation of the annual mean susceptibility of nitrogen loss, considering soil and climate factors at each pixel. It focuses on the vertical movement of nitrogen due to rainfall and soil moisture. The data was derived from the Agricultural Production Systems Simulator (APSIM) model, which simulated nitrogen loss from a urine patch in a continuous ryegrass/white clover mixed pasture setup.

The spatial resolution of this dataset is based on a 5km climate grid, using the Fundamental Soil Layers and S-map soil polygons. It is important to note that this analysis does not take into account land use or actual nutrient inputs, focusing solely on inherent soil and climatic conditions. The resulting susceptibility values are scaled between 0 and 1, providing an indication of the relative level of nitrate filtering function at each location.

Nitrogen leaching was estimated using OVERSEER farm nutrient budgeting software version 5.4 (Ministry of Agriculture and Forestry et al., 2011) with a modifier to account for OVERSEER version 6. OVERSEER was run for the 100 combinations of soils and climate from level II of LENZ (Leathwick et al., 2003). Stocking rate were set to the carrying capacity of the land according to the New Zealand Land Resource Inventory (Landcare Research, 2011b), and annual leaching rate per stock unit calculated. The nitrogen leaching rates per stock unit were then combined with a map of modelled animal numbers to produce a map of nitrogen leaching for all of New Zealand. The spatial distribution of animal numbers (dairy, sheep, beef, and deer) was modelled using a land-use map derived from AgriBase (AgriQuality New Zealand, july 2015) and the land cover database 2012 (LCDB4.1, Manaaki Whenua, 2015). The number of animals were scaled using statistics of livestock numbers at the regional level (Agricultural Production Survey (APS), Statistics New Zealand, 2016) and spatially distributed the animals using the potential carrying capacity from fundamental soil layers (Landcare Research, 2011a). N.B. Deer numbers were missing from the APS data for 2015-16 for the Taranaki region which results in reduced GHG values for the region.

This feature layer is designed for the purpose of assignment of waterway names (where named) to all segments within the River Environment Classification version two (REC2). This layer can also be joined to the main REC2 feature class layer via the unique joining variable called "nzsegment".The River Environment Classification (REC) is a database of catchment spatial attributes, summarised for every segment in New Zealand's network of rivers. The attributes were compiled for the purposes of river classification. Examples where the REC can be used include, catchment rainfall calculations, catchment river flows, flood forecasting, land use and catchment associations.Creationthe REC was originally created using a hydrological networking tools and a digital elevation model.In preparing The New Zealand Rivers and Names, all reasonable skill and care was exercised and the best available data and methods were used. Nevertheless, NIWA does not accept any liability, whether direct, indirect or consequential, arising out the use of this tool and its associated data and statistical information._Item Page Created: 2021-10-05 03:31 Item Page Last Modified: 2025-04-05 16:10Owner: NIWA_OpenData

Classification of land according to suitability for production forestry (based on assessed site index for Pinus radiata). The site index is an estimate (or measurement) of the mean height (in metres) of the 100 tallest 20-year-old trees in a sampled hectare. Pinus radiata was adopted as the species standard because of its ubiquity in New Zealand and not because it is necessarily the most suitable species for the site. Selective and genetic breeding programmes focusing on Pinus radiata have, in recent years, produced clones with growth rates significantly higher than those recorded in the LRIS database. High growth rates have often been achieved at a cost of lower wood density.

The data in this layer was collected over an extended period. Most of South Island was mapped between 1971 and 1979. In the North Island, Northland was mapped between 1985-1990, Wellington between 1987-1992, Marlborough between 1989-1993 and Gisborne East Coast between 1995-1998. The rest of the North Island was mapped between 1971 and 1979.

This layer indicates the necessary load reduction to achieve at least the NOF (National Objectives Framework) C-band for E. coli levels in critical catchments. The NOF C-band, part of New Zealand's freshwater management framework, ensures water quality suitable for secondary contact recreation, such as boating and wading.

The map layer visualises the yield proportion, which is calculated by dividing the E. coli load (expressed as giga E. coli organisms per hectare per year (Giga E. coli/ha/yr)) by the catchment area. The yield proportion is used to show the reduction required, expressed as a percentage of the current E. coli yield. For example, if a catchment currently yields a certain amount of E. coli per hectare per year, this layer shows the proportion of that yield which must be reduced to meet the NOF C-band standard.

The underlying data was derived using spatial statistical models to compare predicted E. coli concentrations against criteria defined by the NPSFM (National Policy Statement for Freshwater Management). The analysis spans a 5-year period from 2016 to 2020, providing average annual loads and focused on reducing excess E. coli loads to meet the NOF C-band. The data is based on the digital river network used by the River Environment Classification (REC).

N.B. Data has been clipped using LINZ 1:250k lakes, therefore the map will show no data and there will be no reporting over these areas.

A group of published and unpublished geological maps from the 1958-1970 era that are part of the Historic Geological Map Archive under the Regional Geological Map Archive and Datafile Nationally Significant Database and Collection. The geological maps cover all or parts of New Zealand and its islands and may include maps of parts of Antarctica, Southern Ocean and South Pacific. The unpublished geological maps are commonly preliminary compilations at larger scale with additional detail that were simplified for publication. These geological maps contain interpretation that is generally superseded by more recent geological maps. In many places, these geological maps show or use information about rock outcrops or landforms that are no longer visible, for example, due to erosion, excavation, building and road construction, dam flooding, or forestation.

The original paper or film physical format of the 720 maps (April 2025 count) in the group are stored in a secure archive at GNS Science building in Avalon, Lower Hutt. These are available for viewing on request. Digital scanned versions of these maps are also available via the GNS Science Dataset Catalogue - a Search query ‘RGMAD Archive 1958-1970 Era’ will return the geological maps associated with this era and each map can be viewed, streamed into GIS software or downloaded from links provided.

DOI: https://doi.org/10.21420/t2q6-wp62?x=y

Cite as: GNS Science. (2019). RGMAD Archive 1958-1970 Era. GNS Science. https://doi.org/10.21420/T2Q6-WP62?x=y

Slope data layer used in the creation of Land Environments of New Zealand (LENZ) classification. The classification layers have been made publicly available by the Ministry for the Environment (see https://data.mfe.govt.nz/layers/?q=LENZ for to access these layers).

This slope data layer is measured in degrees and was created from a 25-metre digital elevation model (DEM) fitted to 20-m digital contour data derived from New Zealand's NZMS 260 map series using in-house software developed at Landcare Research.

All contours were originally derived photogrammetrically from stereo photographs for final map reproduction at a scale of 1: 50 000. Additional intermediate contours and spot heights were used in generating the DEM where available, while coastlines and shorelines (for lakes greater than 10 ha in extent) were used to constrain the DEM surface around water bodies. The linear interpolation method used to create the DEM threads contours through the cells before interpolation so that any cell intersected by a contour will be given the elevation value of that contour, leading to a high percentage of cells with elevations that are multiples of 20 or 10 in steep areas.

Additional details are defined in the attached LENZ Technical Guide.

A 3D geological model of the Napier-Hastings urban area that forms part of GNS Geological Map 7, developed in Leapfrog Geo software and available on request. The 3D geological model provides a conceptual three-dimensional representation and interpretation of the near-surface and subsurface geology including the thickness and geometry of stratigraphic and lithostratigraphic units, geometry of major faults, and drillhole and topographic data. This dataset forms part of Begg JG, Jones KE, Lee JM, Tschritter C. 2022. 3D geological model of the Napier-Hastings urban area [digital data]. Lower Hutt (NZ): GNS Science. (GNS Science geological map; 7b). https://doi.org/10.21420/JJEC-J652?x=y

The explanatory text associated with this dataset is available from https://doi.org/10.21420/QFEK-9369?x=y

This wetlands dataset has its origins in the Wetlands of National Importance (WONI) project, which was part of the Sustainable Development Programme of Actions for Freshwaters which had the goal of identifying a list of water bodies that would protect a full range of freshwater biodiversity.
The pre-human extent of wetlands was produced using soil information from the New Zealand Land Resource Inventory (NZLRI) and a 15m digital elevation model (DEM) to refine soil boundaries. Current wetlands were defined by combining existing databases including LCDB2 (Land Cover Database version 2), NZMS 260 Topomaps, existing surveys from Regional Councils, Queen Elizabeth II (QEII) covenant wetland polygons, DOC surveys (WERI database), and the 15m DEM, to define a single set of wetland polygons and centre points. All this data was checked against a standardised set of Landsat imagery using the Ecosat technology and where necessary new wetland boundaries delineated.

Wetlands were classified into 7 groups at the hydro-class level using fuzzy expert rules.

A raster ArcGIS grid that defines the elevation of the top surface of the South Auckland Volcanic Field (Kerikeri Volcanic Group) geological unit. It has been derived from the 3D geological model of the Pukekohe area which forms part of GNS Geological Map 12. The 3D model was built using Leapfrog Geo software. This dataset forms part of Jones KE, Strogen DP, Hill MP. 2022. 3D geological model of the Pukekohe area [digital data]. Lower Hutt (NZ): GNS Science. (GNS Science geological map; 12a). https://doi.org/10.21420/PDRP-WS09

The explanatory text associated with this dataset is available from https://doi.org/10.21420/T65Q-MX18

A 3D geological model of the Pukekohe area developed in Leapfrog Geo software. It forms part of GNS Geological Map 12 which describes the geology and geomorphology of the Pukekohe area. The 3D geological model provides a conceptual three-dimensional representation and interpretation of the near-surface and subsurface geology including basement rocks, the thickness and geometry of geological units overlying basement and major faults. This dataset forms part of Jones KE, Strogen DP, Hill MP. 2022. 3D geological model of the Pukekohe area [digital data]. Lower Hutt (NZ): GNS Science. (GNS Science geological map; 12a). https://doi.org/10.21420/PDRP-WS09.

The explanatory text associated with this dataset is available from https://doi.org/10.21420/T65Q-MX18.

The Land Use Capability system categorizes land into eight classes according to its long-term capability to sustain one or more productive uses based on physical limitations and site specific management needs. Productive capacity depends on physical qualities of the land, soil and environment. Differences between ideal and actual land qualities may be regarded as limitations which will affect productivity and land management options. Limitations considered in the LUC include: susceptibility to erosion, steepness of slope, climate, susceptibility to flooding, liability to wetness or drought, salinity, and depth, texture, structure and nutrient supply of the soil. Note that complex map units containing two LUC units may occur. In this case reports provided will describe the dominant LUC unit only.

Note that this visualisation is based on the national legend. Historic regional units are listed in the report.

Marine environment variables feature service for use in Arc GIS on line (AGOL) for the Offshore Aquaculture Investigation Mapping Application.Depth Contour – Shows NZ bathymetry at depth contour ranges of 30m, 50m, 100m and 200m. Data is supplied by NIWA.Wave Storm Peak – Wave data is generated from a hind-cast wave model with a 30 year time series (1970-2000), extracted at 247 locations around the NZ coast at about 50 m water depth contour. The values are single points averaged (buffered) across a 10 km circle to better visually display the data.

The storm peak wave values represent the maximum significant storm wave height encountered in the model. A ‘storm’ was defined as when waves reached the 90th percentile value of local significant wave height (based on the full data record). This means the ‘storm’ definition was consistently scaled to the local wave climate, e.g. in places like Foveaux Strait, bigger waves are more usual so a ‘storm’ would comprise much greater waves than expected in a ‘storm’ in a more sheltered location. The plots show 90th, 95th and 99th percentile of wave storm peaks (m).

Wave All Mean – Shows the ‘significant wave height’, which is the average height (crest-to-trough) of the 1/3 largest waves, so this represents a ~worst case scenario. The layer shows the average significant wave height encountered 60% of the time.

Tidal Current - Maximum depth-averaged tidal currents (m/s) derived from a model described by Walters et al. Data is sourced from the Ministry for the Environment’s Marine Environment Classification, supplied by NIWA. This is used in the Open Ocean Aquaculture Mapping Application. This mapping application is to be used by the Aquaculture Unit when they are consulting with potential Aquaculture ventures, specifically for the off shore environment 30m to 50m water depth. It contains layers relating to the Marine Environment, Marine Aquaculture, Fisheries restrictions (both MPI and DoC legislation) and a "mask" which can be used to overlay features and visually exclude the areas outside of the 30m to 200m depth range.Though none of data is private there are some commercial sensitivities included in the proposed Aquaculture application information, so it needs a restricted user group called Open Ocean Aquaculture Mapping Application. Though none of data is private there are some commercial sensitivities included in the proposed Aquaculture application information, so it needs a restricted user group called Open Ocean Aquaculture Mapping Application. This Application is for staff from MPI Fisheries - Aquaculture & Branch Support - Aquaculture. The Mapping Application was commissioned by Hamish Wilson, Senior Aquaculture Analyst.The build document is here.SME/Business Owner: Sarah Cumming, Senior Aquaculture Analyst, Fisheries - Aquaculture - Strategy & Development

Depth below sea level, in milliseconds two-way-time, to the N10 (Early Miocene) horizon in sedimentary basins within the Northwest Province (Taranaki, Deepwater Taranaki, and Reinga-Northland basins). Seismic mapping of the horizon was undertaken using Paradigm SeisEarth software. Gridding was undertaken using Paradigm software and Zetaware's Trinity software. 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.