Threatened Environments Classification (2012)

3606
320
Updated
25 Mar 2015

This dataset was last updated on LRIS Portal on 25 Mar 2015.

This layer comes from the Threatened Environment Classification (TEC) version 2012, which is a source of national scale background information on New Zealand's land environments. Specifically, it shows how much native (indigenous) vegetation remains within land environments, and how past vegetation loss and legal protection are distributed across New Zealand's landscape. The TEC uses indigenous vegetation as a surrogate for indigenous biodiversity. This includes indigenous ecosystems, habitats and communities: the indigenous species, subspecies and varieties that are supported by indigenous vegetation, and their genetic diversity. The TEC is most appropriately applied to help identify places that are priorities for formal protection against clearance and/or incompatible land-uses, and for ecological restoration to restore lost species, linkages and buffers. The TEC is a combination of three national databases: Land Environments New Zealand (LENZ), classes of the 4th Land Cover Database (LCDB4, based on 2012 satellite imagery) and the protected areas network (version 2012, reflecting areas legally protected for the purpose of natural heritage protection).

For more information see: Cieraad E, Walker S, Price R, Barringer J. 2015. An updated assessment of indigenous cover remaining and legal protection in New Zealand’s land environments. New Zealand Journal of Ecology 39(2).

Layer ID 48288
Data type Vector polygon
Feature count 815185
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, 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.

463
23
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.

87
12
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.

76
2
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)

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.

6798
904
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)

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.

5032
50
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

This layer provides a classification of New Zealand ecosystems according to tree and shrub composition. Generalized Dissimilarity Modelling was used to produce a model of biotic composition in relation ship to environment and biogeography. This model was used to transform and scale environmental layers to predict community composition. The transformed environmental layers were then used to classify New Zealand into areas of similar biotic composition. The biotic data used for this model include all non-fern tree and shrub taxa from NVS recce data and estimated community compositions from pollen data.

Layer ID 48223
Data type Grid
Resolution 100.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

This layer provides a classification of New Zealand ecosystems according to tree and shrub composition. Generalized Dissimilarity Modelling was used to produce a model of biotic composition in relation ship to environment and biogeography. This model was used to transform and scale environmental layers to predict community composition. The transformed environmental layers were then used to classify New Zealand into areas of similar biotic composition. The biotic data used for this model include all non-fern tree and shrub taxa from NVS recce data and estimated community compositions from pollen data.

Layer ID 48226
Data type Grid
Resolution 100.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

This layer provides a classification of New Zealand ecosystems according to tree and shrub composition. Generalized Dissimilarity Modelling was used to produce a model of biotic composition in relation ship to environment and biogeography. This model was used to transform and scale environmental layers to predict community composition. The transformed environmental layers were then used to classify New Zealand into areas of similar biotic composition. The biotic data used for this model include all non-fern tree and shrub taxa from NVS recce data and estimated community compositions from pollen data.

Layer ID 48224
Data type Grid
Resolution 100.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Untimely cultivation, grazing and forestry operations when the soils are wet give rise to a rapid and marked loss of soil structure and a reduction in soil permeability and aeration owing to the compaction, deformation and consolidation of the topsoil and upper subsoil. This degradation results from the pressure of heavy machinery or treading by stock. Some soils are more at risk than others due to their poor resistance and resilience to compacting forces, poor drainage, limited water holding capacity, or higher rainfall.

References
Parfitt, R. L.; Lilburne, L. R.; Shepherd, T. G.; Andrew, R. M. 2002: Vulnerable soils: national maps and models of resistance to pressures. Proceedings of Soil Quality and Sustainable Land Management conference, Palmerston North, New Zealand, 3-5 April, 2002.

Shepherd, T. G.; Lilburne, L. R.; Sparling, G. P. 2000: A rule-based assessment of soil structural vulnerability. Soil News 48(5):127-132.

Layer ID 48168
Data type Vector polygon
Feature count 139526
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed
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