S-map - a new soil spatial information system for New Zealand (current)

Online
Only
Licence

Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International

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.

22083
181
Updated
07 Sep 2016

This dataset was last updated on LRIS Portal on 07 Sep 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 - 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.

Layer ID 48440
Data type Vector polygon
Feature count 295370
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

LCDB v5.0 - Land Cover Database version 5.0, Mainland New Zealand

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

4751
623
Updated
29 Jan 2020

This dataset was last updated on LRIS Portal on 29 Jan 2020.

The New Zealand Land Cover Database (LCDB) is a multi-temporal, thematic classification of New Zealand's land cover. It identifies 33 mainland land cover classes (35 classes once the offshore Chatham Islands are included). The classification was revised between versions 1, 2, and 3 but has been consistent thereafter, and always with backward compatibility maintained. Land cover features are described by a polygon boundary, a land cover code, and a land cover name at each nominal time step; summer 1996/97, summer 2001/02, summer 2008/09, summer 2012/13, and summer 2018/19. The data set is designed to complement in theme, scale and accuracy, New Zealand’s 1:50,000 topographic database (www.linz.govt.nz/land/maps/topographic-maps/topo50...). LCDB is suitable for use in national and regional environment monitoring, forest and shrubland inventory, biodiversity assessment, trend analysis and infrastructure planning. The classification used in LCDBv5.0 is presented in the document 'LCDBClassesAtVersion5.pdf' and a table correlating LCDB classes over all versions is presented in the document 'LCDBClassCorrelations.pdf'. Both of these are among the accessory documents to this dataset in the LRIS portal (lris.scinfo.org.nz/). LCDB version 5.0 was released in January 2020 and includes corrections to all time steps 1997/97, 2001/02, 2008/09, 2012/13 and 2018/19 for both the New Zealand mainland and Chatham Islands. A description of work undertaken for this release (including that of all earlier releases) is presented in the Lineage section. Of particular note at version 5.0 is the addition to LCDB, of attributes designed to readily identify and monitor wetlands over time and a similar capability to manage significant coastal changes. “EditAuthority” and "EditDate" are attributes, maintained since version 3.0 to indicate authorship and nominal date of polygon mapping, edit or change. Errors in the data due to misclassification (rather than land cover change) or poor delineation can be reported to Landcare Research for inclusion in the next release using the online feedback facility in lris.scinfo.org.nz/.

Layer ID 104400
Data type Vector polygon
Feature count 511104
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W)

LCDB_v5.0 - Land Cover Database version 5.0, Chatham Islands

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

382
22
Updated
29 Jan 2020

This dataset was last updated on LRIS Portal on 29 Jan 2020.

The New Zealand Land Cover Database (LCDB) is a multi-temporal, thematic classification of New Zealand's land cover. It identifies 33 mainland land cover classes (35 classes once the offshore Chatham Islands are included). The classification was revised between versions 1, 2, and 3 but has been consistent thereafter, and always with backward compatibility maintained. Land cover features are described by a polygon boundary, a land cover code, and a land cover name at each nominal time step; summer 1996/97, summer 2001/02, summer 2008/09, summer 2012/13, and summer 2018/19. The data set is designed to complement in theme, scale and accuracy, New Zealand’s 1:50,000 topographic database (www.linz.govt.nz/land/maps/topographic-maps/topo50...). LCDB is suitable for use in national and regional environment monitoring, forest and shrubland inventory, biodiversity assessment, trend analysis and infrastructure planning. The classification used in LCDBv5.0 is presented in the document 'LCDBClassesAtVersion5.pdf' and a table correlating LCDB classes over all versions is presented in the document 'LCDBClassCorrelations.pdf'. Both of these are among the accessory documents to this dataset in the LRIS portal (lris.scinfo.org.nz/). LCDB version 5.0 was released in January 2020 and includes corrections to all time steps 1997/97, 2001/02, 2008/09, 2012/13 and 2018/19 for both the New Zealand mainland and Chatham Islands. A description of work undertaken for this release (including that of all earlier releases) is presented in the Lineage section. Of particular note at version 5.0 is the addition to LCDB, of attributes designed to readily identify and monitor wetlands over time and a similar capability to manage significant coastal changes. “EditAuthority” and "EditDate" are attributes, maintained since version 3.0 to indicate authorship and nominal date of polygon mapping, edit or change. Errors in the data due to misclassification (rather than land cover change) or poor delineation can be reported to Landcare Research for inclusion in the next release using the online feedback facility in lris.scinfo.org.nz/.

Layer ID 104442
Data type Vector polygon
Feature count 2333
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W)

LCDB v5.0 Version Trace, Mainland New Zealand

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

15
11
Updated
26 Jan 2020

This dataset was last updated on LRIS Portal on 26 Jan 2020.

This data set (LCDB v5.0Version Trace) allows users to track changes back to the previous version (v4.1), and to reconcile derived quantities, such as the total area of a class in a region, to those derived from the earlier LCDB version. Additionally the authority (and date) for mapping the change is recorded in this database where such a change has been manually mapped.However sometimes when a feature has been removed, and the change area becomes part of a larger "background", the EditDate will pertain to the background area. DO NOT use this dataset to assess real vegetation change over time. Rather use the latest available LCDB version which will contain vegetation cover for all timesteps. This Version Trace dataset is only provided to help reconcile with an analysis done on an earlier version of the LCDB. Similar datasets were provided to trace LCDB2 ==> LCDB v3.0, LCDB v3.0 ==> LCDB v3.3, LCDB v3.3 ==> LCDB v4.0, and LCDB v4.0==> LCDB v4.1. Note however, we earlier called the dataset "Change" rather than "Version Trace", e.g. "LCDB v4.0 Change".

Layer ID 104441
Data type Vector polygon
Feature count 219045
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W)

LCDB v5.0 Version Trace, Chatham Islands, New Zealand

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

9
0
Added
24 Jan 2020

This dataset was first added to LRIS Portal on 24 Jan 2020.

This data set (LCDB v5.0Version Trace) allows users to track changes back to the previous version (v4.1), and to reconcile derived quantities, such as the total area of a class in a region, to those derived from the earlier LCDB version. Additionally the authority (and date) for mapping the change is recorded in this database where such a change has been manually mapped.However sometimes when a feature has been removed, and the change area becomes part of a larger "background", the EditDate will pertain to the background area. DO NOT use this dataset to assess real vegetation change over time. Rather use the latest available LCDB version which will contain vegetation cover for all timesteps. This Version Trace dataset is only provided to help reconcile with an analysis done on an earlier version of the LCDB. Similar datasets were provided to trace LCDB2 ==> LCDB v3.0, LCDB v3.0 ==> LCDB v3.3, LCDB v3.3 ==> LCDB v4.0, and LCDB v4.0==> LCDB v4.1. Note however, we earlier called the dataset "Change" rather than "Version Trace", e.g. "LCDB v4.0 Change".

Layer ID 104439
Data type Vector polygon
Feature count 3963
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W)

Smap Soil Texture Aug 2019

Licence

Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International

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.

957
54
Added
08 Aug 2019

This dataset was first added to LRIS Portal on 08 Aug 2019.

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...

Layer ID 103668
Data type Vector polygon
Feature count 55676
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Smap Soil Classification (Soil Order) Aug 2019

Licence

Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International

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.

2095
126
Added
08 Aug 2019

This dataset was first added to LRIS Portal on 08 Aug 2019.

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...

Layer ID 103669
Data type Vector polygon
Feature count 128468
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Smap Soil Depth Aug 2019

Licence

Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International

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.

1017
35
Added
07 Aug 2019

This dataset was first added to LRIS Portal on 07 Aug 2019.

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...

Layer ID 103666
Data type Vector polygon
Feature count 75485
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Smap Soil Drainage Aug 2019

Licence

Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International

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.

0
0
Added
07 Aug 2019

This dataset was first added to LRIS Portal on 07 Aug 2019.

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...

Layer ID 103667
Data type Vector polygon
Feature count 95725
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

New Zealand's potential forest composition was predicted from regressions relating the distributions of major canopy tree species to environment. Environmental variables, chosen for their correspondence to major tree physiological processes, included annual and seasonal temperature and solar radiation, soil and atmospheric water deficit, soil leaching, slope, and soil parent material and drainage. Environmental values were estimaged both for a large set of irregularly distributed plots describing forest composition, and points on a 1-km grid across New Zealand. Regressions were fitted to the ploy data species by species, with those for the four Nothofagus species also including terms to correct for the effects of their geographic disjunctions. Predictions of species abundance were then made for the grid data set, and the resulting matrix was classified to derive groups of similar composition. This data is expected to provide a context for both the assessment of the biodiversity value of surviving forest remnants and for the subsequent management and/or restoration of these sites.

Layer ID 48279
Data type Grid
Resolution 100.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed
Results 1 to 10 of 212