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...

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...

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..

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...

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...

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 = aspectelse if aspect > 180 then aspect180 = 360 - aspectThis aspect data is symmetrical around north-south, meaning east and west are considered equivalent (90...

This data layer was derived from terrain analysis of a 25 m resolution national digital terrain model to create a setof landform elements. The landform elements are derived from a fuzzy classification based on local geometry (curvature and slope) and landscape context, and provide a primary foundation for mapping soil distribution in steepland land...

Map of indigenous forest classes in New Zealand (podocarp, broadleaved, beech, podocarp-broadleaved, beech-broadleaved, podocarp-broadleaved-beech, kauri, coastal, subalpine scrub).

A downloadable TIFF image of the 1:15,000 scale SB222 soil map - Soils of the Bannockburn Valley, South Island, New Zealand by FG Beecroft. A full resolution PDF version is also available in the attachments section. Note this is a more detailed soil map than the Grow Otago soils maps, but uses the old Genetic Soil Classification - soil naming conventions...

Map of indigenous forest classes in New Zealand (podocarp, broadleaved, beech, podocarp-broadleaved, beech-broadleaved, podocarp-broadleaved-beech, kauri, coastal, subalpine scrub).

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...

This data layer was derived from terrain analysis of a 25 m resolution national digital terrain model to create a setof landform elements. The landform elements are derived from a fuzzy classification based on local geometry (curvature and slope) and landscape context, and provide a primary foundation for mapping soil distribution in steepland land...

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 (https://lris.scinfo.org.nz/layer/497-kaikoura-after-earthquake-22nd-november-2016/ ), thus minimising differences due to illumination. Copernicus’ six Sentinel satellites...

This layer was derived from three existing data layers: the Land Cover Database 2 (LCDB2) (MfE 2002); the Land Use Map (LUM) from the Land Use Carbon Analysis System (MfE 2008; Dymond et al. 2012); and EcoSat Forests (Shepherd et al. 2002). Indigenous forest classes from EcoSat Forests were combined with classes from LCDB2 to form basic ecosystems...

The ocean waters surrounding New Zealand vary in temperature from north to south. They interact with heat and moisture in the atmosphere and affect our weather. Long-term changes and short-term variability in sea-surface temperatures can affect marine processes, habitats, and species. Some species may find it hard to survive in changing environmental...

The ocean waters surrounding New Zealand vary in temperature from north to south. They interact with heat and moisture in the atmosphere and affect our weather. Long-term changes and short-term variability in sea-surface temperatures can affect marine processes, habitats, and species. Some species may find it hard to survive in changing environmental...

The ocean waters surrounding New Zealand vary in temperature from north to south. They interact with heat and moisture in the atmosphere and affect our weather. Long-term changes and short-term variability in sea-surface temperatures can affect marine processes, habitats, and species. Some species may find it hard to survive in changing environmental...

The ocean waters surrounding New Zealand vary in temperature from north to south. They interact with heat and moisture in the atmosphere and affect our weather. Long-term changes and short-term variability in sea-surface temperatures can affect marine processes, habitats, and species. Some species may find it hard to survive in changing environmental...

The ocean waters surrounding New Zealand vary in temperature from north to south. They interact with heat and moisture in the atmosphere and affect our weather. Long-term changes and short-term variability in sea-surface temperatures can affect marine processes, habitats, and species. Some species may find it hard to survive in changing environmental...

The ocean waters surrounding New Zealand vary in temperature from north to south. They interact with heat and moisture in the atmosphere and affect our weather. Long-term changes and short-term variability in sea-surface temperatures can affect marine processes, habitats, and species. Some species may find it hard to survive in changing environmental...