MPI SLMACC Northland Property-Scale LUC

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Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

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)

MPI SLMACC Northland - Erosion Inventory

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Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

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 Auger and Tacit Soil Observations

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Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

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 Soil Mapunit (version 11)

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Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

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