ecr_nzmas

2260
28
Updated
04 Aug 2017

This dataset was last updated on LRIS Portal on 04 Aug 2017.

A 25m resolution grid of long-term mean annual solar radiation for use as a regression variable for calculating ECR BASE carrying capacity. NZMAS is derived from the LENZ underlying climate layer dataset. This grid has been resampled to 25m resolution using bilinear interpolation to deliver visually compatible apparent resolution as other input data sets used in the ECR modelling process. For use with Model 2.

Layer ID 48317
Data type Image/Raster
Resolution 25.000m
Services Catalog Service (CS-W), data.govt.nz Atom Feed

ecr_vpdjan

1652
4
Updated
04 Aug 2017

This dataset was last updated on LRIS Portal on 04 Aug 2017.

A 25m resolution grid of mean annual vapour pressure deficit derived from the Land Environment New Zealand underlying climate dataset at an original resolution of 100m. This grid was resampled to 25m by bilinear interpolation to have visually compatible resolution to other data sets being used in modelling of ECR BASE carrying capacity. For use with both Model 1 and Model 2.

Layer ID 48321
Data type Image/Raster
Resolution 25.000m
Services Catalog Service (CS-W), data.govt.nz Atom Feed

Mean Annual Soil Temperature (South Island)

1563
38
Added
16 Jun 2013

This dataset was first added to LRIS Portal on 16 Jun 2013.

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

Mean February Soil Temperature (South Island)

1416
20
Added
14 Jun 2013

This dataset was first added to LRIS Portal on 14 Jun 2013.

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 30 cm. Multiple regression used site characteristics of latitude, Distance from coast, elevation, aspect, slope and forest/non-forest cover to predict topographic effects on soil temperatures.

Layer ID 48337
Data type Grid
Resolution 25.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

ecr_vpdyr

1343
15
Updated
04 Aug 2017

This dataset was last updated on LRIS Portal on 04 Aug 2017.

A 25m resolution grid of mean annual vapour pressure deficit derived from the Land Environment New Zealand underlying climate dataset at an original resolution of 100m. This grid was resampled to 25m by bilinear interpolation to have visually compatible resolution to other data sets being used in modelling of ECR BASE carrying capacity. For use with both Model 1 and Model 2.

Layer ID 48320
Data type Image/Raster
Resolution 25.000m
Services Catalog Service (CS-W), data.govt.nz Atom Feed

Mean July Soil Temperature (South Island)

1327
23
Added
14 Jun 2013

This dataset was first added to LRIS Portal on 14 Jun 2013.

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 30 cm. Multiple regression used site characteristics of latitude, Distance from coast, elevation, aspect, slope and forest/non-forest cover to predict topographic effects on soil temperatures.

Layer ID 48342
Data type Grid
Resolution 25.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

FSL Soil Temperature Classification - ArcGIS layer file

1118
226
Added
28 Nov 2011

This item was first added to LRIS Portal on 28 Nov 2011

Document ID9227
File namefsl-soil-temperature-classification-arcgis-layer-file.lyr
TypeLYR
Size14.3 KB

Mean March Soil Temperature (South Island)

1301
12
Added
14 Jun 2013

This dataset was first added to LRIS Portal on 14 Jun 2013.

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 30 cm. Multiple regression used site characteristics of latitude, Distance from coast, elevation, aspect, slope and forest/non-forest cover to predict topographic effects on soil temperatures.

Layer ID 48338
Data type Grid
Resolution 25.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Mean June Soil Temperature (South Island)

1292
14
Added
14 Jun 2013

This dataset was first added to LRIS Portal on 14 Jun 2013.

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 30 cm. Multiple regression used site characteristics of latitude, Distance from coast, elevation, aspect, slope and forest/non-forest cover to predict topographic effects on soil temperatures.

Layer ID 48341
Data type Grid
Resolution 25.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Mean January Soil Temperature (South Island)

1231
23
Added
13 Jun 2013

This dataset was first added to LRIS Portal on 13 Jun 2013.

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 30 cm. Multiple regression used site characteristics of latitude, Distance from coast, elevation, aspect, slope and forest/non-forest cover to predict topographic effects on soil temperatures.

Layer ID 48336
Data type Grid
Resolution 25.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed
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