GHG Fluxes (Greenhouse Gases)

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2444
46
Updated
26 Apr 2018

This dataset was last updated on LRIS Portal on 26 Apr 2018.

The current New Zealand greenhouse gas inventory derives implied emission factors that vary between animal types (Ministry for the Environment, 2010). The spatial distribution of animal numbers (dairy, sheep, beef, and deer) was modelled using a land-use map derived from AgriBase (AgriQuality New Zealand, 2003) and the land cover database (LCDB4.1, Manaaki Whenua, 2015). The number of animals were scaled using statistics of livestock numbers at the regional level (Agricultural Production Census (APS), Statistics New Zealand, 2017) 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. New Zealand-specific emissions factors were then applied using the IPCC (Intergovernmental Panel on Climate Change) methodology for the agriculture sector for methane and nitrous oxide emissions (Ministry for the Environment, 2010).
Units: tonnes of CO2 equivalent/ha/year

Layer ID 95391
Data type Grid
Resolution 100.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Nitrate Leaching

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3563
65
Added
24 Apr 2018

This dataset was first added to LRIS Portal on 24 Apr 2018.

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 the map of animal numbers to produce a map of nitrogen leaching for all of New Zealand.

Reference: JR Dymond, A-GE Ausseil, RL Parfitt, A Herzig & RW McDowell (2013) Nitrate and phosphorus leaching in New Zealand: a national perspective, New Zealand Journal of Agricultural Research, 56:1, 49-59, DOI: 10.1080/00288233.2012.747185

Layer ID 95392
Data type Grid
Resolution 100.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

NZLRI Land Use Capability 2021

112046
5381
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
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LCDB v4.0 (Deprecated) - Land Cover Database version 4.0, Mainland New Zealand

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Creative Commons Attribution 3.0 New Zealand

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29327
1760
Added
27 Jun 2014

This dataset was first added to LRIS Portal on 27 Jun 2014.

The New Zealand Land Cover Database (LCDB) is a multi-temporal digital thematic map of land cover and land use. Land cover at each of four periods; summer 1996/97, summer 2001/02, summer 2008/09, and summer 20012/13, is both delineated and classified. The land cover classification evolved over the first three periods but compatibility has been maintained. The current version, LCDB v4 (and its predecessor LCDB v3), contains 33 classes. The classification used in LCDB v3 and v4 can be found in the document LCDB2-3CorrelationTable.pdf along with the correlation from the classification used in the earlier version (LCDB v2). This document is available as an attachment to this dataset in the LRIS portal (lris.scinfo.org.nz/), and on the LCDB project site (www.lcdb.scinfo.org.nz). The LCDB was designed to be compatible in scale and accuracy with Land Information New Zealand’s 1:50,000 topographic database. The LCDB is intended for use in areas such as state of environmental monitoring, forest and shrub inventory, biodiversity assessment, trend analysis and infrastructure planning. LCDB v4.0 was released in June 2014 and includes non-temporal edits to the 1996/97, 2001/02, and 2008/09 time periods along with new mapping of change up to the summer 2012/13 period. A change layer, “LCDB v4.0 change” is available to indicate both non-temporal and temporal changes made between LCDB v3.3 and LVCDB v4.0, The non-temporal changes include error in earlier mapping. An “authority” attribute is also available in this layer acknowledging the source of the latest mapping of both non-temporal and temporal change. The Chatham Islands, which were available as part of LCDB-2 on a different map projection, have not yet been re-mapped in LCDB v3.0, v3.3, or v4.0.The data is referenced to the New Zealand Transverse Mercator 2000 projection (NZTM2000) which uses the NZ Geodetic Datum 2000 (NZGD2000). Errors in the data due to misclassification (not changes since mapping) or poor delineation can be reported to Landcare Research for inclusion in the next release using the online feedback mechanisms in lris.scinfo.org.nz/.

Layer ID 48412
Data type Vector polygon
Feature count 479353
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

LCDB v3.3 (Deprecated) - Land Cover Database version 3.3, Mainland New Zealand

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Creative Commons Attribution 3.0 New Zealand

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9373
657
Updated
24 Oct 2013

This dataset was last updated on LRIS Portal on 24 Oct 2013.

DEPRECATED - THIS VERSION HAS BEEN SUPERCEDED BY VERSION 4.0 which is now available at lris.scinfo.org.nz/layer/412-lcdb-v40-land-cover-d....

The New Zealand Land Cover Database (LCDB) is a thematic classification of land cover. The current version LCDB3.3 contains 33 classes designed to be compatible with earlier LCDB 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. LCDB 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 LCDB3.3 can be found in the document LCDB2-3 CorrelationTable.pdf along with the mapping from the class set used in the previous version (LCDB2). This document is available as an attachment to this dataset in the LRIS portal (www.lcdb.scinfo.org.nz/) and on the LCDB project site (www.lcdb.scinfo.org.nz). LCDB3.3 was released in August 2013 and includes corrections to all time steps 1997/97, 2001/02 and 2008/09. In particular, it incorporates edits arising from user feedback, a review of improvements to low producing grasslands in the South Island, updates to croplands from Kyoto Land Use mapping, and corrections to the dating of land cover change mapped in LCDB3.0. “EditAuthority” and "EditDate" attributes are maintained in this layer to indicate the source of the change for both non-temporal and temporal changes mapped.The Chatham Islands, which were available as part of LCDB-2 on a different map projection, have not yet been re-mapped as part of LCDB3.

Layer ID 48401
Data type Vector polygon
Feature count 452868
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

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Creative Commons Attribution 3.0 New Zealand

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14650
860
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

LCDB v3.3 cover class change summary

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1584
83
Updated
04 Nov 2021

This item was last updated on LRIS Portal on 04 Nov 2021

Summary pivot table of changes in cover class between 2001 and 2008 based on LCDB v3.3. This summary is available both for the whole of New Zealand and by Region.

Document ID9390
File namelcdb-v33-cover-class-change-summary.xlsx
TypeXLSX
Size208 KB

North Island National Pasture Productivity

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1491
29
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

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1420
25
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

PastureYieldNZDefinitions.pdf

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271
12
Updated
24 Nov 2020

This item was last updated on LRIS Portal on 24 Nov 2020

1

New Zealand National Pasture Productivity Map Attribute Definitions

Document ID22890
File namepastureyieldnzdefinitionspdf.pdf
TypePDF
Size56.9 KB
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