EcoSat Woody North Island

2587
61
Added
09 Jan 2011

This dataset was first added to LRIS Portal on 09 Jan 2011.

EcoSat woody is a basic landcover map of New Zealand from Landsat TM imagery at 15m resolution. Classes include water, bare ground, woody cover, herbaceous cover, and snow.

Reference: John R. Dymond, James D. Shepherd, The spatial distribution of indigenous forest and its composition in the Wellington region, New Zealand, from ETM+ satellite imagery, Remote Sensing of Environment, Volume 90, Issue 1, 15 March 2004, Pages 116-125, ISSN 0034-4257, DOI.

Landsat TM imagery is courtesy of the U.S. Geological Survey .

Layer ID 48183
Data type Grid
Resolution 15.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

EcoSat Woody South Island

1918
36
Added
09 Jan 2011

This dataset was first added to LRIS Portal on 09 Jan 2011.

EcoSat woody is a basic landcover map of New Zealand from Landsat TM imagery at 15m resolution. Classes include water, bare ground, woody cover, herbaceous cover, and snow.

Reference: John R. Dymond, James D. Shepherd, The spatial distribution of indigenous forest and its composition in the Wellington region, New Zealand, from ETM+ satellite imagery, Remote Sensing of Environment, Volume 90, Issue 1, 15 March 2004, Pages 116-125, ISSN 0034-4257, DOI.

Landsat TM imagery is courtesy of the U.S. Geological Survey .

Layer ID 48184
Data type Grid
Resolution 15.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

ecr_aspect180

2372
43
Updated
04 Aug 2017

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

A 25m resolution grid of aspect in degrees north of south, for use as a regression variable for calculating BASE carrying capacity using Model 1 where:

if aspect <= 180 then aspect180 = aspect

else if aspect > 180 then aspect180 = 360 - aspect

This aspect data is symmetrical around north-south, meaning east and west are considered equivalent (90 degrees) to avoid problems in regression where normal aspect values of 0 and 360 degrees both equal the same north.

Layer ID 48313
Data type Image/Raster
Resolution 25.000m
Services Catalog Service (CS-W), data.govt.nz Atom Feed

ecr_fmask

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.

1910
1
Updated
04 Aug 2017

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

This is a binary mask layer for the Earning Capacity Rental project - identifying all areas that by definition (forested or water body) will have BASE carrying capacity set to zero (0 SU/ha). All other areas are set to one (unity). The final BASE carrying capacity is derived by multiplying the result of the regression models by this binary mask leavibng model values either unchanged or reset to zero. For use with both Model 1 and Model 2.

Layer ID 48314
Data type Image/Raster
Resolution 25.000m
Services Catalog Service (CS-W), data.govt.nz Atom Feed

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_slope

2723
49
Updated
04 Aug 2017

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

A 25m resolution slope grid, derived from a digital elevation model (DEM) clipped from Landcare Research's national 25m DEM for use as a regression variable for calculating ECR BASE carrying capacity. For use with Model 2.

.

Layer ID 48318
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

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

Elevation

4064
140
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

Envirolink Report (C09X1402) 2015

Licence

Creative Commons Attribution 3.0

You may use this work for commercial purposes.

You must attribute the creator in your own works.

916
127
Added
18 Jul 2016

This item was first added to LRIS Portal on 18 Jul 2016

126

Report entitled "Background soil concentrations of selected trace elements and organic contaminants in New Zealand" (Envirolink Tools Grant: C09X1402)

Document ID9530
File nameenvirolink-report-c09x1402-2015.pdf
TypePDF
Size3.75 MB
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