Data

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 at lris.scinfo.org.nz/document/22129-smap-data-dictio...

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 at lris.scinfo.org.nz/document/22129-smap-data-dictio...

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 at lris.scinfo.org.nz/document/22129-smap-data-dictio...

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 - contact Graeme Anderson (andersong@landcareresearch.co.nz).

ACCESS to publically available S-map data is now at

S-map Soil Depth

S-map Soil Drainage

S-map Soil Texture

S-map NZ Soil Classification

​

S-map's primary map layer is soil classes, i.e. delineated areas that are labelled with the soil family name. Each soil family is defined as a unique combination of attributes (NZSC classification, parent material, rock type, dominant texture and permeability class). Soil classes are further characterised as siblings according to their depth to rock class, stoniness, land type, drainage, texture (more detailed), functional horizons and miscellaneous variant information. The uncertainty of each of these family and sibling attribute classes is specified. Associated with the soil class layer will be additional map layers of fundamental and derived soil properties. The fundamental soil properties are depth (diggability), depth to slowly permeable layer, rooting depth, rooting barrier, horizon thickness, stoniness, clay and sand content. They are developed from sample information and expert knowledge. The derived soil layers are each based on a model (or pedo-transfer function). Some models are simple lookup tables that depend only on the soil class. Others combine various soil, land use, vegetation, climate or topographic attributes in a mathematical formula. Derived layers will include available water (mm), macroporosity, water retention, bulk density, total carbon, total nitrogen, phosphorus, calcium, cation exchange capacity, pH, and phosphorus retention.

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 at lris.scinfo.org.nz/document/22129-smap-data-dictio...

This layer is a "dissolved" representation of the soil texture attribute for S-map previously available as a lookup table. Refer to document Smap Data Dictionary Dissolved Layers.pdf at lris.scinfo.org.nz/document/22129-smap-data-dictio...

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.

Estimates of soil pH, as measured in a 1:5 water solution, for the 0 – 7.5 cm depth interval. The values of this layer represent estimates for the centre of a 100 m x 100 m (1 ha) grid covering all of New Zealand, with the exception of areas that do not have soils. The layer was generated using a 3 dimensional quantile regression forest model, that leverages a range of spatial predictors, including land use, topography and climate layers.

More detailed information about the model used is provided in the publication: National Scale 3D Mapping of Soil pH Using a Data Augmentation Approach, Remote Sens. 2020, 12(18), 2872; doi.org/10.3390/rs12182872

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(

Spatial surface estimates of soil carbon stock (units tonnes per hectare) for the 0–30cm layer, over the land surface of New Zealand, based on a generalised linear regression model using environmental classification, national soil layer, and climate layers as explanatory variables, with a correction for spatial auto correlation of data samples. Estimates are made on a grid where each grid cell has dimensions 1,000 m x 1,000 m (100 ha). The value at each grid cell is our best estimate of the mean soil carbon stock across the area occupied by each grid cell.
A number of data layers were acquired to act as explanatory layers for the prediction of soil carbon. Soil data includes the MfE Historic Soils Database (under an agreement with MfE), the NSD (LandcareResearch New Zealand 2012), the SINDI soil quality dataset (Landcare Research New Zealand 2012), and the LMI soils dataset (under an agreement with Plant and Food Research 2011).Additional explanatory data layers were obtained from the LENZ data set (Landcare Research New Zealand), including the LENZ climate layers (e.g. mean annual rainfall) as well as environmental classification layers (LENZ level 1, 2, 3, and 4), from the Koordinates data portal (Koordinates 2012). In addition, the natural potential vegetation layer (Leathwick 2001) is used as an indicator of vegetation prior to agricultural development. These layers were augmented by explanatory layers acquired from the LRIS portal (Landcare Research 2012), consisting of national maps of basic soil properties (soil order, exchangeable calcium, acid soluble phosphorus, rock class, mid-estimate of surface outcrops, annual water deficit). Additional 0–30cm carbon stock data was obtained by using SINDI data (derived from 0–10cm depth samples) along with NSD data and a regression model to infer 0–30cm soil carbon stocks (tonnes/ha) at the centre of each pixel.
This data is owned by the Ministry of Primary Industries (MPI)).