This layer provides a classification of New Zealand ecosystems according to tree and shrub composition. Generalized Dissimilarity Modelling was used to produce a model of biotic composition in relation ship to environment and biogeography. This model was used to transform and scale environmental layers to predict community composition. The transformed environmental layers were then used to classify New Zealand into areas of similar biotic composition. The biotic data used for this model include all non-fern tree and shrub taxa from NVS recce data and estimated community compositions from pollen data.

Layer ID 48224
Data type Grid
Resolution 100.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Threatened Environments Classification (2012)

3534
319
Updated
25 Mar 2015

This dataset was last updated on LRIS Portal on 25 Mar 2015.

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).

Layer ID 48288
Data type Vector polygon
Feature count 815185
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Soil Survey of Te Puke District

3765
44
Added
22 Jun 2010

This dataset was first added to LRIS Portal on 22 Jun 2010.

The dataset contains polygons of soils of Te Puke District mapped at 1:15000. The attributes contain the soil series and the soil classification. No analytical properties of the soil are included.

Layer ID 48123
Data type Vector polygon
Feature count 2980
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Untimely cultivation, grazing and forestry operations when the soils are wet give rise to a rapid and marked loss of soil structure and a reduction in soil permeability and aeration owing to the compaction, deformation and consolidation of the topsoil and upper subsoil. This degradation results from the pressure of heavy machinery or treading by stock. Some soils are more at risk than others due to their poor resistance and resilience to compacting forces, poor drainage, limited water holding capacity, or higher rainfall.

References
Parfitt, R. L.; Lilburne, L. R.; Shepherd, T. G.; Andrew, R. M. 2002: Vulnerable soils: national maps and models of resistance to pressures. Proceedings of Soil Quality and Sustainable Land Management conference, Palmerston North, New Zealand, 3-5 April, 2002.

Shepherd, T. G.; Lilburne, L. R.; Sparling, G. P. 2000: A rule-based assessment of soil structural vulnerability. Soil News 48(5):127-132.

Layer ID 48168
Data type Vector polygon
Feature count 139526
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

ALOS-PRISM Digital Elevation Model

Online
Only
3674
0
Added
23 Jun 2010

This dataset was first added to LRIS Portal on 23 Jun 2010.

The PRISM instrument is carried on the Japanese ALOS satellite and has three sensors that provide forward, nadir, and aft-looking views of the terrain. The forward and aft views can be combined to give stereo coverage with approximately a one-to-one base-to-height ratio, which is almost ideal for generating terrain information. The nominal spatial resolution of the ALOS-PRISM imagery is 2.5m in the forward, nadir and aft directions.

Stereo imagery has been acquired of a region in Wanganui/Manawatu area of the North Island of New Zealand. This area is currently being studied for automated soil mapping, using a variety of technologies.

This DEM represents a draft version to demonstrate progress on DEM generation from PRISM. Further developments in processing, calibration and validation are required before production of acceptable DEMs is possible.

THIS IS A VIEW ONLY LAYER - NOT AVAILABLE FOR DOWNLOAD

Layer ID 48124
Data type Grid
Resolution 15.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Smap Sibling metadata

2966
520
Added
18 May 2012

This item was first added to LRIS Portal on 18 May 2012

Additional metadata to support S-map siblings lookup table

Document ID9298
File namesmap-sibling-metadata.html
TypeHTML
Size186 KB

LENZ - October vapour pressure deficit

3471
162
Added
30 May 2010

This dataset was first added to LRIS Portal on 30 May 2010.

October vapour pressure deficit 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 data.mfe.govt.nz/layers/?q=LENZ for to access these layers).

October vapour pressure deficit, recorded in kPa, is used to estimate the effects of variation in the dryness of the air. The climate station data used in the development of this climate surface were derived from summaries of climate observations published by the New Zealand Meteorological Service, using data collected over the period from 1950-1980. Estimates of the vapour pressure deficit for each month were derived by coupling a 100 m DEM with a thin-plate spline surface fitted to an irregular network of 287 meteorological stations, using humidity and temperature data. The resulting 100 metre layer was then interpolated to 25 metres using bilinear interpolation.

Calculation of the vapour pressure deficit first required estimation of the temperature at 0900 hours, the time at which humidity measurements are made. This was calculated from the measured mean daily minimum and maximum temperatures for each month using a function that simulates the temperature course through the day. The estimated temperature at 0900 hours was then used to calculate the saturation water vapour pressure , which indicates the maximum amount of water vapour able to be held in the air given its temperature. Vapour pressure deficits in October were used in LENZ as this is the month when westerly winds are generally most persistent, resulting in strong geographic variation in vapour pressure deficits across New Zealand.

This layer has been multiplied by a factor of 100 (i.e. converted into an integer grid) to save space and make the grids more responsive. A value of 33 is actually 0.33 kPa.

Additional details such as the climate station locations used in the creation of the layer and error maps are defined in the attached LENZ Technical Guide.

Layer ID 48091
Data type Grid
Resolution 25.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

FSL Flood Return Interval

3393
240
Added
04 Jun 2010

This dataset was first added to LRIS Portal on 04 Jun 2010.

The New Zealand Fundamental Soil Layer originates from a relational join of features from two databases: the New Zealand Land Resource Inventory (NZLRI), and the National Soils Database (NSD). The NZLRI is a national polygon database of physical land resource information, including a soil unit. Soil is one in an inventory of five physical factors (including rock, slope, erosion, and vegetation) delineated by physiographic polygons at approximately 1:50,000 scale. The NSD is a point database of soil physical, chemical, and mineralogical characteristics for over 1500 soil profiles nationally. A relational join between the NZLRI dominant soil and derivative tables from the NSD was the means by which 14 important soil attributes were attached to the NZLRI polygons. Some if these attributes originate from exact matches with NSD records, while others derive from matches to similar soils or professional estimates. This layers contains flood return interval attributes. The classes originate from and are described more fully in Webb and Wilson (1995).

Layer ID 48106
Data type Vector polygon
Feature count 107298
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

ecr_slope

3618
53
Updated
04 Aug 2017

This dataset was last updated on LRIS Portal on 04 Aug 2017.

A 25m resolution slope grid, derived from a digital elevation model (DEM) clipped from Landcare Research's national 25m DEM for use as a regression variable for calculating ECR BASE carrying capacity. For use with Model 2.

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Layer ID 48318
Data type Image/Raster
Resolution 25.000m
Services Catalog Service (CS-W), data.govt.nz Atom Feed

EcoSat Woody North Island

3605
81
Added
09 Jan 2011

This dataset was first added to LRIS Portal on 09 Jan 2011.

EcoSat woody is a basic landcover map of New Zealand from Landsat TM imagery at 15m resolution. Classes include water, bare ground, woody cover, herbaceous cover, and snow.

Reference: John R. Dymond, James D. Shepherd, The spatial distribution of indigenous forest and its composition in the Wellington region, New Zealand, from ETM+ satellite imagery, Remote Sensing of Environment, Volume 90, Issue 1, 15 March 2004, Pages 116-125, ISSN 0034-4257, DOI.

Landsat TM imagery is courtesy of the U.S. Geological Survey .

Layer ID 48183
Data type Grid
Resolution 15.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed
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