Kaikoura - Before Earthquake (10th February 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.

5674
50
Added
28 Nov 2016

This dataset was first added to LRIS Portal on 28 Nov 2016.

This image comes from the European Space Agency’s Copernicus Programme taken on 10 February at 11:25 NZDT. This before image was chosen to have a similar sun angle to the after image (lris.scinfo.org.nz/layer/497-kaikoura-after-earthq... ), thus minimising differences due to illumination.

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, February 2016".

Layer ID 48496
Data type Image/Raster
Resolution 10.000m
Services Raster Tiles Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

South Island Soilscapes

5434
238
Updated
25 Jun 2010

This dataset was last updated on LRIS Portal on 25 Jun 2010.

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 48126
Data type Vector multipolygon
Feature count 1321
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

LENZ - October vapour pressure deficit

5485
183
Added
30 May 2010

This dataset was first added to LRIS Portal on 30 May 2010.

October vapour pressure deficit 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).

October vapour pressure deficit, recorded in kPa, is used to estimate the effects of variation in the dryness of the air. 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. Estimates of the vapour pressure deficit for each month were derived by coupling a 100 m DEM with a thin-plate spline surface fitted to an irregular network of 287 meteorological stations, using humidity and temperature data. The resulting 100 metre layer was then interpolated to 25 metres using bilinear interpolation.

Calculation of the vapour pressure deficit first required estimation of the temperature at 0900 hours, the time at which humidity measurements are made. This was calculated from the measured mean daily minimum and maximum temperatures for each month using a function that simulates the temperature course through the day. The estimated temperature at 0900 hours was then used to calculate the saturation water vapour pressure , which indicates the maximum amount of water vapour able to be held in the air given its temperature. Vapour pressure deficits in October were used in LENZ as this is the month when westerly winds are generally most persistent, resulting in strong geographic variation in vapour pressure deficits across New Zealand.

This layer has been multiplied by a factor of 100 (i.e. converted into an integer grid) to save space and make the grids more responsive. A value of 33 is actually 0.33 kPa.

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 48091
Data type Grid
Resolution 25.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

ALOS-PRISM Digital Elevation Model

Online
Only
5629
2
Added
23 Jun 2010

This dataset was first added to LRIS Portal on 23 Jun 2010.

The PRISM instrument is carried on the Japanese ALOS satellite and has three sensors that provide forward, nadir, and aft-looking views of the terrain. The forward and aft views can be combined to give stereo coverage with approximately a one-to-one base-to-height ratio, which is almost ideal for generating terrain information. The nominal spatial resolution of the ALOS-PRISM imagery is 2.5m in the forward, nadir and aft directions.

Stereo imagery has been acquired of a region in Wanganui/Manawatu area of the North Island of New Zealand. This area is currently being studied for automated soil mapping, using a variety of technologies.

This DEM represents a draft version to demonstrate progress on DEM generation from PRISM. Further developments in processing, calibration and validation are required before production of acceptable DEMs is possible.

THIS IS A VIEW ONLY LAYER - NOT AVAILABLE FOR DOWNLOAD

Layer ID 48124
Data type Grid
Resolution 15.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Smap Soil Classification (Soil Order) August 2018

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.

5376
182
Added
22 Aug 2018

This dataset was first added to LRIS Portal on 22 Aug 2018.

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

Layer ID 95773
Data type Vector polygon
Feature count 214938
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Chemical limitations to plant growth 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 data layer defines three classes of soil based on factors that lead to the accumulation of chemicals that limit plant growth. Classes were differentiated either by their parent material or by their position in the New Zealand Soil Classification. Three classes of chemical limitations, Low (1), Moderate (2) and High (3). 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 48086
Data type Grid
Resolution 25.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

FSL Potential Rooting Depth

5219
296
Added
07 Jun 2010

This dataset was first added to LRIS Portal on 07 Jun 2010.

The New Zealand Fundamental Soil Layer originates from a relational join of features from two databases: the New Zealand Land Resource Inventory (NZLRI), and the National Soils Database (NSD). The NZLRI is a national polygon database of physical land resource information, including a soil unit. Soil is one in an inventory of five physical factors (including rock, slope, erosion, and vegetation) delineated by physiographic polygons at approximately 1:50,000 scale. The NSD is a point database of soil physical, chemical, and mineralogical characteristics for over 1500 soil profiles nationally. A relational join between the NZLRI dominant soil and derivative tables from the NSD was the means by which 14 important soil attributes were attached to the NZLRI polygons. Some if these attributes originate from exact matches with NSD records, while others derive from matches to similar soils or professional estimates. This layer contains potential rooting depth attributes. Potential rooting depth describes the minimum and maximum depths (in metres) to a layer that may impede root extension. Such a layer may be defined by penetration resistance, poor aeration or very low available water capacity. These classes are described more fully in Webb and Wilson (1995).

Layer ID 48110
Data type Vector polygon
Feature count 107298
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Soil Map of part of Wallace County

5404
29
Added
07 Apr 2015

This dataset was first added to LRIS Portal on 07 Apr 2015.

The soil inventory survey of Wallace County, Southland was mapped at 1:50,000 scale and covers approximately 700,000 hectares of a total of 965,600 hectares. Within 6 physiographic regions, soils have been separated by differences in morphology, drainage and parent materials into 132 soil mapping units. Soils have been correlated to South Island soil sets and classification of soils for land use are provided in the attribute table.

This 1986 soil survey has been superceded in lowland areas by Topoclimate South (1998-2001) and S-map (2014) data.

Layer ID 48419
Data type Vector polygon
Feature count 2170
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Soil temperature surfaces for the South Island of New Zealand are based on analysis of a combination of monthly mean soil temperature data from the NIWA (National Institute of Water and Atmospheric Research) 3 years data from 175 mini-data-loggers (1997-2000) laid out in a stratified sampling scheme at 7 climatically representative locations in the South Island. At each location a cluster of about 25 data loggers sampled a range of elevations between 100 and 1800 m. At each elevation grouping the 4 primary aspects (N, S, E, W) and a flat site were sampled at a depth of 30cm. Multiple regression used site characteritics of latitude, Distance from coast, elevation, aspect, slope and forest/non-forest cover to predict topographic effects on soil temperatures.

Layer ID 48348
Data type Grid
Resolution 25.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Soil Survey of Opotiki County

5296
35
Added
20 Aug 2010

This dataset was first added to LRIS Portal on 20 Aug 2010.

The dataset contains polygons of soils of Opotiki District mapped at 1:15000. The attributes contain the soil series and the soil classification. No analytical properties of the soil are included.

Layer ID 48143
Data type Vector polygon
Feature count 1339
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed
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