Nitrate Leaching

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414
15
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.

(Currently unavailable for download - 18/10/2018)

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

GHG Fluxes (Greenhouse Gases)

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Creative Commons Attribution-Noncommercial-No Derivative Works 3.0

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246
11
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

(Currently unavailable for download 18/10/2018)

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

MPI SLMACC Northland Soil Mapunit (version 11)

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Creative Commons Attribution 3.0 New Zealand

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45
0
Updated
27 Apr 2017

This dataset was last updated on LRIS Portal on 27 Apr 2017.

Soil map unit raster classification - generated from a Random Forest model based on soil auger data points and terrain and parent material co-variate layers. This model uses 16 soil map units which represent groupings of taxonomically similar soils at NZ Soil Classification sub-group to family level. Random Forest predicts classifications - the map units so defined will be assigned typical soil associations and properties

The project report (11 Mb PDF) for this work is downloadable at www.mpi.govt.nz/dmsdocument/30615-use-of-modern-te...

Layer ID 48559
Data type Multi-attribute Grid
Resolution 5.000m
Services Raster Query API

MPI SLMACC Northland Hillshade 1m

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Creative Commons Attribution 3.0 New Zealand

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207
2
Added
13 Apr 2017

This dataset was first added to LRIS Portal on 13 Apr 2017.

Hill shade derived from 1 m resolution digital elevation model built from ground filtered LiDAR point cloud for MPI SLMACC Northland project area between Kaikohe and Paihia.

The project report (11 Mb PDF) for this work is downloadable at www.mpi.govt.nz/dmsdocument/30615-use-of-modern-te...

Layer ID 48555
Data type Image/Raster
Resolution 1.000m

MPI SLMACC Auger and Tacit Soil Observations

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Creative Commons Attribution 3.0 New Zealand

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146
1
Added
13 Jun 2017

This dataset was first added to LRIS Portal on 13 Jun 2017.

This dataset contains 500 augers observations of soil properties collected for a digital soil mapping and land use capability analysis in the Kaikohe to Paihia area. An additional 172 tacit points of estimated soil properties at sites where pedologists were confident they could predict likely soil distribution are also included.

These data were used in conjunction with elevation, slope and other spatial explicit covariate data to predict soil distributions continuously across 100 km2 of Northland hill country

The project report (11 Mb PDF) for this work is downloadable at www.mpi.govt.nz/dmsdocument/30615-use-of-modern-te...

Layer ID 48574
Data type Vector point
Feature count 672
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W)

MPI SLMACC Northland - Erosion Inventory

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Creative Commons Attribution 3.0 New Zealand

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777
4
Added
13 Apr 2017

This dataset was first added to LRIS Portal on 13 Apr 2017.

This erosion type mapping was carried out on-screen using the 10 cm digital orthophotography supported by visual terrain analysis using the LiDAR DEM (hill shade and slope classification). The orthophotos were used to identify the most recent erosion features in the Kaikohe
study area; the DEM aided the mapping of features not visible in the orthophotos due to age
or vegetation cover.

The classification of erosion types followed the categories defined by the Land Use
Capability Survey Handbook (Lynn et al. 2009), which differentiates between surface
erosion, mass movement, fluvial erosion, and deposition. Note that the estimated depth of the
landslides (s = shallow, d = deep) was not consistently recorded; instead, the area of the
landslides serves as a reasonable proxy.

The project report (11 Mb PDF) relating to this work is downloadable at www.mpi.govt.nz/dmsdocument/30615-use-of-modern-te...

Layer ID 48556
Data type Vector multipolygon
Feature count 1645
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W)

MPI SLMACC Northland Property-Scale LUC

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Creative Commons Attribution 3.0 New Zealand

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989
5
Updated
13 Jun 2017

This dataset was last updated on LRIS Portal on 13 Jun 2017.

This dataset is the land inventory and Land use capability output from the MPI SLMACC Northland project. It is derived from raster data through a series of modelling steps based on field data collected at over 400 observation points. Raster maps are then subjected to segmentation processing to create polygons that are assigned inventory attribute values based on zonal statistics from the original raster datasets. The majority of mapping is carried out by automated processing, the exceptions currently being erosion mapping and parent material (because of scale of available source information). Forestry 300 Index and Net Profit data is derived from modelled surfaces provided by SCION. Land Use Capability is assigned according to a set of rules defined by an expert.

The project report (11 Mb PDF) for this work is downloadable at www.mpi.govt.nz/dmsdocument/30615-use-of-modern-te...

Layer ID 48553
Data type Vector polygon
Feature count 3948
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W)

Smap Soil Depth August 2018

LCR / SMAP
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International

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97
4
Added
22 Aug 2018

This dataset was first added to LRIS Portal on 22 Aug 2018.

This layer is a "dissolved" representation of the soil depth attribute for S-map soils previously available as a lookup table. Refer to document Smap Data Dictionary Dissolved Layers.pdf

Layer ID 95772
Data type Vector polygon
Feature count 107688
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Smap Soil Classification (Soil Order) August 2018

LCR / SMAP
Licence

Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International

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176
14
Added
22 Aug 2018

This dataset was first added to LRIS Portal on 22 Aug 2018.

This layer is a "dissolved" representation of the NZSC soil order for S-map previously available as a lookup table. Refer to document Smap Data Dictionary Dissolved Layers.pdf

Layer ID 95773
Data type Vector polygon
Feature count 214938
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Smap Soil Drainage August 2018

LCR / SMAP
Licence

Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International

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118
11
Added
22 Aug 2018

This dataset was first added to LRIS Portal on 22 Aug 2018.

This layer is a "dissolved" representation of the soil drainage attribute for S-map previously available as a lookup table. Refer to document Smap Data Dictionary Dissolved Layers.pdf

Layer ID 95774
Data type Vector polygon
Feature count 171995
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed
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