NZLRI Land Use Capability 2021

99774
4794
Updated
20 Dec 2021

This dataset was last updated on LRIS Portal on 20 Dec 2021.

The New Zealand Land Resource Inventory (NZLRI) is a national database of physical land resource information. It comprises two sets of data compiled using stereo aerial photography, published and unpublished reference material, and extensive field work:

  1. An inventory of five physical factors (rock type, soil, slope, present type and severity of erosion, and vegetation). A 'homogeneous unit area' approach is used to record the five physical factors simultaneously to a level of detail appropriate for presentation at a scale of 1:50,000.
  2. A Land Use Capability (LUC) rating of the ability of each polygon to sustain agricultural production, based on an assessment of the inventory factors above, climate, the effects of past land use, and the potential for erosion. The NZLRI covers the country in 11 regions, each with a separate LUC classification.

The first edition NZLRI provides national coverage from mapping between 1973 and 1979 at a scale of 1:63,360. A limited revision regional upgrade of the north Waikato area was completed at a scale of 1:63,360 in 1983. Second edition NZLRI regional upgrades at a scale of 1:50,000 have been completed for Northland, Wellington, Marlborough and Gisborne-East Cape. Third edition NZLRI layers contained a restructured polygon attribute table to allow the core NZLRI to complement the newly created fundamental soil layers with minimal duplication.

Update of Edition 3 NZLRI. This update involves ++no new mapping++, but does include a ++new National Land Use Capability legend++ correlated for all regions across New Zealand. Attributes include original LUC units codes and unit descriptions so that users more familiar with original regional codes and North Island correlations can track the pedigree of units from old to new codes and descriptions.

Layer ID 48076
Data type Vector multipolygon
Feature count 107365
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

LCDB v3.0 (Deprecated) - Land Cover Database version 3.0, Mainland New Zealand

Licence

Creative Commons Attribution 3.0 New Zealand

You may use this work for commercial purposes.

You must attribute the creator in your own works.

13675
855
Added
26 Jun 2012

This dataset was first added to LRIS Portal on 26 Jun 2012.

DEPRECATED - THIS VERSION WAS SUPERCEDED FIRST BY VERSION 3.3 AND MORE RECENTLY BY VERSION 4.0 now available at lris.scinfo.org.nz/layer/412-lcdb-v40-land-cover-d...

This database is a thematic classification of land cover and land use classes. The current version 3 contains 33 classes designed to be compatible with earlier versions. The polygon features contain a code and boundary representing the land cover type at each of three periods; summer 1996/97, summer 2001/02, and summer 2008/09. The data set was designed to be compatible in scale and accuracy with Land Information New Zealand’s 1:50,000 topographic database. The land cover database is intended to be used in areas such as state of environmental monitoring, forest and shrubland inventory, biodiversity assessment, trend analysis and infrastructure planning.

The list of classes used in land cover database v3.0 can be found in the document LCDB2-3 Correlation Table along with the mapping from the class set used in the previous version (land cover database 2). This document is available as an attachment to this dataset (see below), and on the land cover database project site (www.lcdb.scinfo.org.nz).

The land cover database v3.0 was released in July 2012 and includes non-temporal edits to the summer 1996/97, summer 2001/02 time periods along with the new summer 2008/09 period. A change layer, “LCDB v3.0 change” (lris.scinfo.org.nz/layer/308-lcdb-v30-change) is available to indicate both non-temporal and temporal changes made between land cover database 2 and land cover database v3.0, The non-temporal changes include errors in the earlier mappings, step artefact removal, and coastline adjustments. An “authority” attribute is also available in this layer indicating the source of the change for both non-temporal and temporal changes mapped.

Funding is from the Ministry for Science and Innovation under contract CO9X1101, which was contributed to by the Ministry for the Environment. The Department of Conservation and individual regional councils and territorial authorities have made significant in kind contributions by checking the draft mapping for their areas of interest.

The Chatham Islands, which were available as part of land cover database2 on a different map projection, have not been re-mapped as part of land cover database v3.0.

Layer ID 48304
Data type Vector polygon
Feature count 431666
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

North Island National Pasture Productivity

Licence

Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International

You may not use this work for commercial purposes.

You must attribute the creator in your own works.

You must not release derivatives of this work.

950
25
Updated
27 Jul 2021

This dataset was last updated on LRIS Portal on 27 Jul 2021.

The New Zealand National Pasture Productivity map is a multi-temporal approach to estimating pasture (dry matter) yield in New Zealand's grassland area. The approach uses a model generated from collected historical records of pasture yield in 21 locations around New Zealand.It was hypothesised that yield of a paddock planted with pasture species would correlate with some average of normalised difference vegetation index (NDVI) observed at that location. The temporal median of NDVI of vegetated images across New Zealand's grasslands was obtained by calculating the median NDVI of all observations for each pixel where vegetation (NDVI > 0) was observed. Paddock polygons were manually created to surround each of the locations where yields had been obtained, and the spatial means within these polygons of the median NDVIs were plotted against the measured yields. A linear relationship between these quantities was created, which was applied to paddock polygons at a national scale. The uncertainty of the model is +/- 2.2 t/ha/yr for a 70% confidence interval.The data presented in this geodatabase is a segmentation of New Zealand grasslands using an automated multi-temporal approach presented by North, Pairman, and Belliss (2019). The parameters of this segmentation process were selected to achieve minimal missed boundaries between true paddock units. As a side-effect, some boundaries were created between sub-paddock areas with differing spectral response, such as in areas of strip grazing, areas divided by ridges or gullies, and areas with different management patterns. While these artefacts may improve the spatial accuracy of the pasture yield, the result is not intended to provide a one-to-one mapping between true paddock areas and their average pasture yield.The model was applied to each of these polygons. Because the data used to develop the initial model had generally high yields, the model has only been applied to polygons representative of higher-producing grasslands. Where median NDVI for a polygon was outside the domain of the assessed polygons, the model was deemed unfit to estimate pasture yield. Polygons with low median NDVI therefore have an assigned yield of zero.A full list of attribute definitions can be found in the attached PDF.The data used to generate the model has been derived from various published sources, in combination with Sentinel-2 imagery. Complete sets of Sentinel-2 for five passes covering mainland New Zealand were assembled and cloud-cleared in an automated manner using TMASK techinques. The resulting valid data was used to create medians of vegetated images on a per-pixel basis.The segmentation of New Zealand grasslands was derived by initially taking selected Sentinel-2 passes which gave suitable coverage of New Zealand's agricultural land, and applying the automated multi-temporal approach to boundary delineation. Around 200 passes from January - November 2018 were used to achieve the segmentation. These polygons were overlaid with the union of polygons from LCDB v5.0 (lris.scinfo.org.nz/layer/104400-lcdb-v50-land-cove...) which were either High-Producing or Low-Producing Grassland in both 2012 and 2018, and had not changed class between those dates.

Layer ID 105112
Data type Vector multipolygon
Feature count 6893470
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

South Island National Pasture Productivity

Licence

Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International

You may not use this work for commercial purposes.

You must attribute the creator in your own works.

You must not release derivatives of this work.

977
24
Updated
26 Jul 2021

This dataset was last updated on LRIS Portal on 26 Jul 2021.

The New Zealand National Pasture Productivity map is a multi-temporal approach to estimating pasture (dry matter) yield in New Zealand's grassland area. The approach uses a model generated from collected historical records of pasture yield in 21 locations around New Zealand.It was hypothesised that yield of a paddock planted with pasture species would correlate with some average of normalised difference vegetation index (NDVI) observed at that location. The temporal median of NDVI of vegetated images across New Zealand's grasslands was obtained by calculating the median NDVI of all observations for each pixel where vegetation (NDVI > 0) was observed. Paddock polygons were manually created to surround each of the locations where yields had been obtained, and the spatial means within these polygons of the median NDVIs were plotted against the measured yields. A linear relationship between these quantities was created, which was applied to paddock polygons at a national scale. The uncertainty of the model is +/- 2.2 t/ha/yr for a 70% confidence interval.The data presented in this geodatabase is a segmentation of New Zealand grasslands using an automated multi-temporal approach presented by North, Pairman, and Belliss (2019). The parameters of this segmentation process were selected to achieve minimal missed boundaries between true paddock units. As a side-effect, some boundaries were created between sub-paddock areas with differing spectral response, such as in areas of strip grazing, areas divided by ridges or gullies, and areas with different management patterns. While these artefacts may improve the spatial accuracy of the pasture yield, the result is not intended to provide a one-to-one mapping between true paddock areas and their average pasture yield.The model was applied to each of these polygons. Because the data used to develop the initial model had generally high yields, the model has only been applied to polygons representative of higher-producing grasslands. Where median NDVI for a polygon was outside the domain of the assessed polygons, the model was deemed unfit to estimate pasture yield. Polygons with low median NDVI therefore have an assigned yield of zero.A full list of attribute definitions can be found in the attached PDF.The data used to generate the model has been derived from various published sources, in combination with Sentinel-2 imagery. Complete sets of Sentinel-2 for five passes covering mainland New Zealand were assembled and cloud-cleared in an automated manner using TMASK techinques. The resulting valid data was used to create medians of vegetated images on a per-pixel basis.The segmentation of New Zealand grasslands was derived by initially taking selected Sentinel-2 passes which gave suitable coverage of New Zealand's agricultural land, and applying the automated multi-temporal approach to boundary delineation. Around 200 passes from January - November 2018 were used to achieve the segmentation. These polygons were overlaid with the union of polygons from LCDB v5.0 (lris.scinfo.org.nz/layer/104400-lcdb-v50-land-cove...) which were either High-Producing or Low-Producing Grassland in both 2012 and 2018, and had not changed class between those dates.

Layer ID 105111
Data type Vector multipolygon
Feature count 4013090
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

South Island Soilscapes

4483
232
Updated
25 Jun 2010

This dataset was last updated on LRIS Portal on 25 Jun 2010.

Soilscapes are defined as "a landscape unit including a limited number of soil classes that are geographically distributed according to an identifiable pattern". These first approximation soilscapes are derived from legacy data and expert knowledge.

Layer ID 48126
Data type Vector multipolygon
Feature count 1321
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Soils of the Kaingaroa Plateau

4029
40
Added
13 Oct 2010

This dataset was first added to LRIS Portal on 13 Oct 2010.

The dataset contains polygons of soils of Kaingaroa Plateau, mapped at 1:100 000. This dataset is compiled from earlier reports by Pullar (1980), Vucetich et al (1960), and Vucetich and Wells (1978).
The attributes contain the soil series and the soil classification. No analytical properties of the soil are included.

Layer ID 48160
Data type Vector polygon
Feature count 513
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

The dataset contains polygons of soils of Stratford County mapped at 1:63360. The attributes contain the soil series and the soil classification. No analytical properties of the soils are included.

Layer ID 48173
Data type Vector polygon
Feature count 290
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

The dataset contains polygons of soils of part Wanganui County mapped at 1:63360. The attributes contain the soil series and the soil classification. No analytical properties of the soils are included.

Layer ID 48162
Data type Vector polygon
Feature count 626
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Soils of Part Eltham County

3416
18
Added
28 Oct 2010

This dataset was first added to LRIS Portal on 28 Oct 2010.

The dataset contains polygons of soils of Part Eltham County mapped at 1:50000. The attributes contain the soil series and the soil classification. No analytical properties of the soils are included.

Layer ID 48167
Data type Vector polygon
Feature count 115
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed
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