LENZ - Monthly water balance ratio

3237
245
Added
13 Oct 2011

This dataset was first added to LRIS Portal on 13 Oct 2011.

Monthly water balance ratio data layer used in the creation of Land Environments of New Zealand (LENZ) classification. The classification layers have been made publicly available by the Ministry for the Environment (see data.mfe.govt.nz/layers/?q=LENZ for to access these layers).

This layer differentiates between regions that have minimal water deficit, but vary markedly in the total amount of rainfall they receive. Based on a water balance model using monthly estimates of mean daily temperature, mean daily solar radiation, and mean rainfall. This layer is the annual average of the monthly ratios of rainfall to potential evaporation calculated using the method of Priestley and Taylor (1972). The resulting 100 metre layer (The temperature, solar radiation and rainfall layers were all 100m) was then interpolated to 25 metres using bilinear interpolation.

The climate station data used in the development of this climate surface were derived from summaries of climate observations published by the New Zealand Meteorological Service, using data collected over the period from 1950-1980 The data layer was derived from surfaces fitted to monthly data describing daily average temperature, daily solar radiation and monthly rainfall. The rainfall surface was fitted using NZMG coordinates, elevation, and a model describing relationships between topography and westerly winds. Having derived the 36 input climate layers, an empirical model was first used to calculate the monthly potential evaporation from the monthly estimates of solar radiation and temperature. These estimates of evaporation were then compared with the monthly rainfall estimates. To calculate the monthly water balance ratio, the ratio of rainfall to evaporation was computed for each month, and then the average of these twelve ratios was calculated.

Additional details such as the climate station locations used in the creation of the layer are defined in the attached LENZ Technical Guide.

Layer ID 48093
Data type Grid
Resolution 25.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

This layer provides a classification of New Zealand ecosystems according to plant 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 vascular plant taxa from NVS recce data and estimated community compositions from pollen data.

Layer ID 48211
Data type Grid
Resolution 100.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

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.

3369
25
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

North Island Soilscapes

3071
305
Added
13 Oct 2011

This dataset was first added to LRIS Portal on 13 Oct 2011.

Soilscapes are defined as "a landscape unit including a limited number of soil classes that are geographically distributed according to an identifiable pattern". These first approximation soilscapes are derived from legacy data and expert knowledge.

Layer ID 48125
Data type Vector multipolygon
Feature count 157
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

NZEEM (Erosion Rates) North Island

3321
34
Added
13 Oct 2011

This dataset was first added to LRIS Portal on 13 Oct 2011.

Mean annual erosion rates (tonnes of soil/km2/yr) in the North Island of New Zealand under current landcover generated from EcoSat Woody (2001-2003).

This layer is not available for download on LRIS. If you are interested in downloading that layer, please contact John Dymond.

Reference: John R. Dymond, Harley D. Betts, Christina S. Schierlitz, An erosion model for evaluating regional land-use scenarios, Environmental Modelling and Software, Volume 25, Issue 3, March 2010, Pages 289-298, ISSN 1364-8152, DOI.

Layer ID 48178
Data type Grid
Resolution 15.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

LENZ - Winter solar radiation

3067
228
Added
13 Oct 2011

This dataset was first added to LRIS Portal on 13 Oct 2011.

Winter solar radiation data layer used in the creation of Land Environments of New Zealand (LENZ) classification. The classification layers have been made publicly available by the Ministry for the Environment (see data.mfe.govt.nz/layers/?q=LENZ for to access these layers).

Winter solar radiation reaches a minimum in June, the month when the sun is lowest in the sky and day lengths are at their shortest, hence the layer is the monthly average solar radiation layer calculated for the month of June. Estimates of winter solar radiation across New Zealand were derived from a surface fitted to monthly solar radiation estimates for 98 sites as described for mean annual solar radiation.

Data describing monthly humidity was used as a surrogate measure of cloudiness to improve the fit of the surface to the underlying data. This also increases the local accuracy of the surface predictions, as the number of meteorological stations used to fit the humidity surface is more than three times greater than the number of sites used to fit the solar radiation surface. For more details on the creation of these layers see the mean annual solar radiation layer.

The units for this layer are in MJ/m2/day, higher values signify areas that have higher levels of solar radiation. This layer has been multiplied by a factor of 10 (i.e. converted into an integer grid) to save space and make the grids more responsive. A value of 53 is actually 5.3 MJ/m2/day.

Additional details such as the climate station locations used in the creation of the layer and error maps are defined in the attached LENZ Technical Guide.

Layer ID 48096
Data type Grid
Resolution 25.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

The dataset contains polygons of soils of part Raglan County mapped at 1:63360. The attributes contain the soil series and the soil classification. No analytical properties of the soil are included.

Layer ID 48153
Data type Vector polygon
Feature count 1421
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Elevation

3095
99
Added
03 Oct 2012

This dataset was first added to LRIS Portal on 03 Oct 2012.

A 25m resolution digital elevation model (DEM) clipped from Landcare Research's national 25m DEM for use as a regression variable for calculating BASE carrying capacity. For use with Model 1.

Layer ID 48322
Data type Grid
Resolution 25.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

NZLRI South Island, Edition 2 (all attributes)

2876
313
Updated
18 Oct 2011

This dataset was last updated on LRIS Portal on 18 Oct 2011.

The New Zealand Land Resource Inventory (NZLRI) is a national database of physical land resource information. It comprises two sets of data compiled using stereo aerial photography, published and unpublished reference material, and extensive field work:

  1. An inventory of five physical factors (rock type, soil, slope, present type and severity of erosion, and vegetation). A 'homogeneous unit area' approach is used to record the five physical factors simultaneously to a level of detail appropriate for presentation at a scale of 1:50,000.

  2. A Land Use Capability (LUC) rating of the ability of each polygon to sustain agricultural production, based on an assessment of the inventory factors above, climate, the effects of past land use, and the potential for erosion. The NZLRI covers the country in 11 regions, each with a separate LUC classification.

The first edition NZLRI provides national coverage from mapping between 1973 and 1979 at a scale of 1:63,360. A limited revision regional upgrade of the north Waikato area was completed at a scale of 1:63,360 in 1983. Second edition NZLRI regional upgrades at a scale of 1:50,000 have been completed for Northland, Wellington, Marlborough and Gisborne-East Cape. Third edition NZLRI layers contained a restructured polygon attribute table to allow the core NZLRI to complement the newly created fundamental soil layers with minimal duplication

Layer ID 48135
Data type Vector polygon
Feature count 46448
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

LENZ - Soil particle size

2903
228
Added
13 Oct 2011

This dataset was first added to LRIS Portal on 13 Oct 2011.

Particle size data layer used in the creation of Land Environments of New Zealand (LENZ) classification. The classification layers have been made publicly available by the Ministry for the Environment (see data.mfe.govt.nz/layers/?q=LENZ for to access these layers).

The data defines the average particle size based on the soil information (from the NZLRI) and the mapped parent material. This particle size data layer is differentiated into five classes, silt and clay (Class 1), Sand (2), Gravel (3), Coarse to very coarse gravel (4), Boulders to massive (5). The class defined as "0" signifies areas where there are no soil attributes recorded (i.e. high peaks of the Southern Alps).

Additional details such as discussion about the accuracy and reliability of the LENZ soil layers and the technical definitions of the categories in this layer are defined in the attached LENZ Technical Guide.

Layer ID 48082
Data type Grid
Resolution 25.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed
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