Smap New Zealand Soil Classification (Soil Order) - February 2018

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Creative Commons Attribution-NonCommercial-NoDerivs 3.0 New Zealand

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5223
219
Added
26 Feb 2018

This dataset was first added to LRIS Portal on 26 Feb 2018.

There has been a change in the way the S-map is being made available to users. The S-map primary map layer ofsoil classes (i.e. delineated areas that are labelled with the soil family name) is no longer freely available to commercial users. Access to this data and associated soil attribute data for commercial use is by negotiation - please contact Graeme Anderson. This layer is a "dissolved" representation of the NZSC soil orderfor S-map previously available as a lookup table.It is available for non-commercial use under a creative commons licence (CC-BY-NC-ND).The New Zealand Soil Classification is described in Hewitt (2010) - Landcare Research Science Series No. 1.

Layer ID 93659
Data type Vector polygon
Feature count 112188
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Smap Soil Texture February 2018

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Creative Commons Attribution-NonCommercial-NoDerivs 3.0 New Zealand

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.

2193
103
Added
26 Feb 2018

This dataset was first added to LRIS Portal on 26 Feb 2018.

There has been a change in the way the S-map is being made available to users. The S-map primary map layer ofsoil classes (i.e. delineated areas that are labelled with the soil family name) is no longer freely available to commercial users. Access to this data and associated soil attribute data for commercial use is by negotiation - please contact Graeme Anderson. This layer is a "dissolved" representation of the soil textureattribute for S-map previously available as a lookup table. It is available for non-commercial use under a creative commons licence (CC-BY-NC-ND).Soil texture profile is defined in Webb and Lilburne (2011). Texture can be specified as either a single texture or a compound texture profile.clayskeletalloamsandy loamloamy peatpeatsandy peatsilty loamWebb TH, Lilburne LR 2011. Criteria for defining the soil family and soil sibling: The fourth and fifth categories of the New Zealand Soil Classification. 2nd ed. Lincoln, Canterbury, New Zealand, Manaaki Whenua Press. 38 p.

Layer ID 93658
Data type Vector polygon
Feature count 48903
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Smap Soil Drainage February 2018

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Creative Commons Attribution-NonCommercial-NoDerivs 3.0 New Zealand

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.

2995
146
Added
26 Feb 2018

This dataset was first added to LRIS Portal on 26 Feb 2018.

There has been a change in the way the S-map is being made available to users. The S-map primary map layer ofsoil classes (i.e. delineated areas that are labelled with the soil family name) is no longer freely available to commercial users. Access to this data and associated soil attribute data for commercial use is by negotiation - please contact Graeme Anderson. This layer is a "dissolved" representation of the soil drainageattribute for S-map previously available as a lookup table.It is available for non-commercial use under a creative commons licence (CC-BY-NC-ND).Soil drainage is a relatively simple classification of the soil profile that describes the likelihood of seasonal wetness. It is based on the occurrence within specific depths of redox segregation and low chroma colours indicative of waterlogging and reduction (Webb and Lilburne, 2011).Very poorly drainedPoorly drainedImperfectly drainedModerately well drainedWell drainedWebb TH, Lilburne LR 2011. Criteria for defining the soil family and soil sibling: The fourth and fifth categories of the New Zealand Soil Classification. 2nd ed. Lincoln, Canterbury, New Zealand, Manaaki Whenua Press. 38 p.

Layer ID 93657
Data type Vector polygon
Feature count 78986
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Smap Soil Depth February 2018

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Creative Commons Attribution-NonCommercial-NoDerivs 3.0 New Zealand

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2742
74
Added
26 Feb 2018

This dataset was first added to LRIS Portal on 26 Feb 2018.

There has been a change in the way the S-map is being made available to users. The S-map primary map layer ofsoil classes (i.e. delineated areas that are labelled with the soil family name) is no longer freely available to commercial users. Access to this data and associated soil attribute data for commercial use is by negotiation - please contact Graeme Anderson. This layer is a "dissolved" representation of the soil depth attribute for S-map soilspreviously available as a lookup table.It is available for non-commercial use under a creative commons licence (CC-BY-NC-ND).Soil depth (Webb & Lilburne 2011) is defined according to a traditional agronomic concept of soil depth (Taylor & Pohlen 1970). In a practical sense, it can be thought of as the depth to a layer that makes augering or digging difficult. Soil depth is identified as the depth to:· A very stony horizon (more than 35% stones by volume)· A soft or hard rock surface· Shattered rock· A pan, as defined in Hewitt (2010)· Firm consistence, together with massive or gross structure. Note that while the layer defining soil depth may cause some restriction in root penetration, it does not necessarily define the base of the potential rooting depth.The dominant depth classes aredefined as:Deep(> 100 cm)Moderately Deep(45 cm - 100 cm)Shallow(20 cm - 45 cm)Very Shallow(

Layer ID 93656
Data type Vector polygon
Feature count 63626
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

MPI SLMACC Auger and Tacit Soil Observations

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Creative Commons Attribution 3.0 New Zealand

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573
8
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 Soil Mapunit (version 11)

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Creative Commons Attribution 3.0 New Zealand

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787
10
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 - Erosion Inventory

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Creative Commons Attribution 3.0 New Zealand

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1538
10
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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2181
20
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)

PBC - Predicted Background Soil Concentrations, New Zealand

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Creative Commons Attribution 3.0 New Zealand

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13436
166
Updated
28 Jun 2016

This dataset was last updated on LRIS Portal on 28 Jun 2016.

The Predicted Background Concentration (PBC) shapefile contains spatial information on the effective median, and 95th quantile estimates of the background concentration (mg/kg) of arsenic, cadmium, chromium, copper, lead, nickel and zinc across New Zealand. These background concentrations were developed for a geological unit classification, Chemical4, originating from GNS Science's QMAP 1:250 000 Geological Map of New Zealand GIS dataset (Heron 2014). Chemical4 is based on the QMAP ROCK_GROUP classification but further subdivides some on an age basis ie older sedimentary rocks from their Miocene and younger rock and sediment equivalents (Maui and Pakihi supergroups, Mortimer et al. 2014). The number of samples in each Chemical4 subgroup for which predictions are made is also provided. Predictions for Chemical4 subgroups with few underlying samples (N<30) are considered less reliable and for N<10 unreliable. These data are intended to provide an initial assessment of background soil concentrations at locations that are being assessed for use as clean-fills or managed fill or for the assessment of contaminated land.

Source: These background soil concentration predictions were developed from geostatistical analysis of trace element data from regional councils, national soils database and GNS Science identifying associations with geological parameters adapted from the GNS Science QMAP geological map dataset. The premise being that underlying geology is generally regarded as a major contributor to the geochemical signals in soils and surficial material.

Full details of the development of these data is provided in 'Envirolink Report (C09X1402) 2015.pdf'. See 'PBC_FieldsDescription.xlsx' for a description of the fields in the attribute table.

References: Heron DW (custodian) 2014. Geological map of New Zealand 1:250,000. GNS Science geological map 1. Lower Hutt, New Zealand, GNS Science.

Mortimer N, Rattenbury MS, King PR, Bland KJ, Barrell DJA, Bache F, Begg JG, Campbell HJ, Cox SC, Crampton JS, Edbrooke SW, Forsyth PJ, Johnston MR, Jongens R, Lee J, Leonard GS, Raine JI, Skinner DNB, Timm C, Townsend DB, Tulloch AJ, Turnbull IM, Turnbull RE 2014. High-level stratigraphic scheme for New Zealand rocks. New Zealand Journal of Geology and Geophysics 57: 402–419.

Layer ID 48470
Data type Vector polygon
Feature count 39371
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

S-map Soil Texture (June 2016 release)

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Creative Commons Attribution-NonCommercial-NoDerivs 3.0 New Zealand

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.

2637
83
Added
16 Jun 2016

This dataset was first added to LRIS Portal on 16 Jun 2016.

NOTE: There has been a change in the way the S-map is being made available to users. The S-map primary map layer of soil classes (i.e. delineated areas that are labelled with the soil family name) is no longer freely available to commercial users. Access to this data and associated soil attribute data for commercial use is by negotiation - viewable at S-map - or contact Graeme Anderson (andersong@landcareresearch.co.nz).

This layer is a "dissolved" representation of the soil texture attribute for dominant S-map soil sibling - previously available as a lookup table. It is available for non-commercial use under a creative commons licence (CC-BY-NC-ND).

Soil texture profile is defined in Webb and Lilburne (2011). Texture can be specified as either a single texture or a compound texture profile.

clay
skeletal
loam
sandy loam
loamy peat
peat
sandy peat
silty loam

Webb TH, Lilburne LR 2011. Criteria for defining the soil family and soil sibling: The fourth and fifth categories of the New Zealand Soil Classification. 2nd ed. Lincoln, Canterbury, New Zealand, Manaaki Whenua Press. 38 p.

Layer ID 48469
Data type Vector polygon
Feature count 21933
Services Vector Query API, Web Feature Service (WFS)
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