Smap New Zealand Soil Classification (Soil Order) - May 2017

LCR / SMAP
Licence

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.

655
30
Updated
25 May 2017

This dataset was last updated on LRIS Portal on 25 May 2017.

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 - please contact Graeme Anderson.

This layer is a "dissolved" representation of the NZSC soil order 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).The New Zealand Soil Classification is described in Hewitt (2010) - Landcare Research Science Series No. 1.

Layer ID 48567
Data type Vector polygon
Feature count 103417
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Smap Soil Texture May 2017

LCR / SMAP
Licence

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.

343
27
Updated
26 May 2017

This dataset was last updated on LRIS Portal on 26 May 2017.

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 - please contact Graeme Anderson.

This layer is a "dissolved" representation of the soil texture attribute 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.

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 48566
Data type Vector polygon
Feature count 46177
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Smap Soil Drainage May 2017

LCR / SMAP
Licence

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.

416
17
Updated
25 May 2017

This dataset was last updated on LRIS Portal on 25 May 2017.

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 - please contact Graeme Anderson.

This layer is a "dissolved" representation of the soil drainage attribute 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 drained
Poorly drained
Imperfectly drained
Moderately well drained
Well drained

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 48565
Data type Vector polygon
Feature count 66746
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Smap Soil Depth May 2017

LCR / SMAP
Licence

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.

327
8
Updated
25 May 2017

This dataset was last updated on LRIS Portal on 25 May 2017.

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 - please contact Graeme Anderson.

This layer is a "dissolved" representation of the soil depth attribute for S-map soils previously 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 are defined as:

Deep(> 100 cm)
Moderately Deep(45 cm - 100 cm)
Shallow(20 cm - 45 cm)
Very Shallow(< 20cm)

Layer ID 48564
Data type Vector polygon
Feature count 62082
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

MPI SLMACC Northland - Erosion Inventory

Online
Only
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.

494
4
Added
13 Apr 2017

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

Erosion type mapping based on detailed manual interpretation of orthophotography and LiDAR DEM/hill shade data.

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

Online
Only
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.

578
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.

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

Kaikoura - After Earthquake (23rd November, 2016)

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.

2880
19
Added
29 Nov 2016

This dataset was first added to LRIS Portal on 29 Nov 2016.

This image comes from the European Space Agency’s Copernicus Programme taken on 23 November at 11:16 NZDT .

This image comes from the European Space Agency’s Copernicus Programme. Copernicus’ six Sentinel satellites collect comprehensive pictures of our land, ocean, emergency response, atmosphere, security and climate change to understand the health of our planet.

Sentinel-2 is a wide-swath, high-resolution, multi-spectral imaging mission. Its optical instrument samples in 13 spectral bands: four bands at 10 metres, six bands at 20 metres and three bands at 60 metres spatial resolution. The imagery you see on this site is derived from the four bands with a spatial resolution of 10m.

There is an on-line viewer for this and the post-earthquake image at imagery.landcareresearch.co.nz/.

In accordances with licensing please credit ESA by acknowledging "Imagery Copernicus Sentinel data, November 2016".

Layer ID 48497
Data type Image/Raster
Resolution 10.000m
Services Catalog Service (CS-W), data.govt.nz Atom Feed

Kaikoura - Before Earthquake (10th February 2016)

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.

2410
13
Added
28 Nov 2016

This dataset was first added to LRIS Portal on 28 Nov 2016.

This image comes from the European Space Agency’s Copernicus Programme taken on 10 February at 11:25 NZDT. This before image was chosen to have a similar sun angle to the after image (lris.scinfo.org.nz/layer/497-kaikoura-after-earthq... ), thus minimising differences due to illumination.

Copernicus’ six Sentinel satellites collect comprehensive pictures of our land, ocean, emergency response, atmosphere, security and climate change to understand the health of our planet. Sentinel-2 is a wide-swath, high-resolution, multi-spectral imaging mission. Its optical instrument samples in 13 spectral bands: four bands at 10 metres, six bands at 20 metres and three bands at 60 metres spatial resolution. The imagery you see on this site is derived from the four bands with a spatial resolution of 10m.

There is an on-line viewer for this and the post-earthquake image at imagery.landcareresearch.co.nz/.

In accordances with licensing please credit ESA by acknowledging "Imagery Copernicus Sentinel data, February 2016".

Layer ID 48496
Data type Image/Raster
Resolution 10.000m
Services Catalog Service (CS-W), data.govt.nz Atom Feed

PBC - Predicted Background Soil Concentrations, 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.

4936
46
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

Desert Road Lupin (Lupinus arboreus)

497
1
Added
13 Apr 2016

This dataset was first added to LRIS Portal on 13 Apr 2016.

This raw aerial photography of the Desert Road stretch of SH 1 running through the Central Plateau is provided to members of the Desert Rd Invasive Legume Control Group so that they can locate plants and prioritize areas where ground control is required.

Layer ID 48452
Data type Image/Raster
Resolution Unknown
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