Recruitment of indigenous tree sp kāmahi 2002–2014

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Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

7954
5
Added
11 Jan 2016

This dataset was first added to MfE Data Service on 11 Jan 2016.

"The rates of establishment (recruitment) of indigenous tree species vary across New Zealand. Changes in the state of the environment (such as from browsing pests, large-scale weather events, or climate change) may change the rates of recruitment of particular tree species. This in turn may alter forest processes. Repeated surveys of the distribution of recruitment rates can alert us to impacts on our indigenous forests.

This data set relates to the "Distribution of indigenous trees" measure on the Environmental Indicators, Te taiao Aotearoa website."

Layer ID 52784
Data type Vector point
Feature count 418
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

River Environment Classification Waikato (2010) (DEPRECATED)

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.

7710
209
Added
23 Dec 2013

This dataset was first added to MfE Data Service on 23 Dec 2013.

The New Zealand River Environment Classification (REC) organises information about the physical characteristics of New Zealand's rivers. Individual river sections are mapped according to physical factors such as climate, source of flow for the river water, topography, and geology, and catchment land cover eg, forest, pasture or urban. Sections of river that have similar ecological characteristics can then be grouped together, no matter where they are.

This information is mapped for New Zealand's entire river network - over 425,000 kilometres of river. Different types of rivers respond differently to the pressures placed on them - the REC can be used to highlight the most appropriate management tools and approaches to reduce these pressures for each river type. Information from the classification is used to develop policy, assess the environment, and report on the quality of river water.

Stream order is the numerical position of a tributary or section of a river within the entire network. Headwater streams are assigned a stream order of 1. When two tributaries of the same stream order meet, the order increments by one for the next section downstream. However, if two sections meet where one section has higher order than the other, the next section downstream has the same order as the highest upstream section.

Additional metadata can be found at www.mfe.govt.nz/publications/ser/metadata/env-clas... .

Layer ID 51856
Data type Vector linestring
Feature count 50723
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Annual sea surface temperature difference from normal, 2004

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.

7912
0
Added
11 Feb 2016

This dataset was first added to MfE Data Service on 11 Feb 2016.

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 conditions.

This layer shows annual sea-surface temperature difference from normal for 2004 as part of the data series for years 1993 to 2013. "Normal" is defined as the average sea-surface temperature for 1993–2013.

NIWA’s sea-surface temperature archive is derived from the Advanced Very High Resolution Radiometer (AVHRR) satellite data it receives from the National Oceanic and Atmospheric Administration. The archive provides high spatial (approximately 1km) and high temporal (approximately 6-hourly in cloud-free locations) resolution estimates of sea-surface temperatures over the New Zealand region, dating from January 1993. Uddstrom and Oien (1999) and Uddstrom (2003) describe the methods used to derive and validate the data.

This dataset relates to the "Annual average sea-surface temperature" measure on the Environmental Indicators, Te taiao Aotearoa website.

Geometry: grid

Unit: percent

Further information can be found in:

Uddstrom, MJ (2003). Lessons from high-resolution satellite SSTs. Bulletin of the American Meteorological Society, 84(7), 896–897.

Uddstrom, MJ, & Oien, NA (1999). On the use of high resolution satellite data to describe the spatial and temporal variability of sea surface temperatures in the New Zealand region. Journal of Geophysical Research (Oceans) 104, chapter 9, 20729–20751.

Layer ID 53032
Data type Image/Raster
Resolution About 1927.000m
Services Catalog Service (CS-W), data.govt.nz Atom Feed

Water clarity trends, 2009–2013

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Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

7861
50
Added
11 Jan 2016

This dataset was first added to MfE Data Service on 11 Jan 2016.

Water clarity is a measure of underwater visibility in rivers and stream. Water clarity can be reduced by the presence of fine particles like silt, mud or organic material in the water. This affects the habitat and feeding of aquatic life like fish and aquatic birds. Water clarity is an important indicator of the health of a waterway, and is also a consideration for recreational activities like swimming and wading.
This dataset relates to the "River water quality trends: clarity" measure on the Environmental Indicators, Te taiao Aotearoa website.

Layer ID 52685
Data type Vector point
Feature count 722
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Landsat4 1990 Footprints

Licence

Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

7876
23
Added
20 Jul 2017

This dataset was first added to MfE Data Service on 20 Jul 2017.

Note: Metadata relates to the mosaicked imagery. This layer has been provided to enable users to explore coverage and capture dates of the imagery. To enquire about ordering the imagery, please e-mail lucas[at]mfe.govt.nz.

This imagery is 15m, six-band multispectral, cloud-minimised mosaics of Landsat 4 satellite scenes over mainland New Zealand captured from late-1988 to early-1993.

Layer ID 53639
Data type Vector multipolygon
Feature count 32
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Annual sea surface temperature difference from normal, 2002

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.

7888
1
Added
11 Feb 2016

This dataset was first added to MfE Data Service on 11 Feb 2016.

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 conditions.

This layer shows annual sea-surface temperature difference from normal for 2002 as part of the data series for years 1993 to 2013. "Normal" is defined as the average sea-surface temperature for 1993–2013.

NIWA’s sea-surface temperature archive is derived from the Advanced Very High Resolution Radiometer (AVHRR) satellite data it receives from the National Oceanic and Atmospheric Administration. The archive provides high spatial (approximately 1km) and high temporal (approximately 6-hourly in cloud-free locations) resolution estimates of sea-surface temperatures over the New Zealand region, dating from January 1993. Uddstrom and Oien (1999) and Uddstrom (2003) describe the methods used to derive and validate the data.

This dataset relates to the "Annual average sea-surface temperature" measure on the Environmental Indicators, Te taiao Aotearoa website.

Geometry: grid

Unit: percent

Further information can be found in:

Uddstrom, MJ (2003). Lessons from high-resolution satellite SSTs. Bulletin of the American Meteorological Society, 84(7), 896–897.

Uddstrom, MJ, & Oien, NA (1999). On the use of high resolution satellite data to describe the spatial and temporal variability of sea surface temperatures in the New Zealand region. Journal of Geophysical Research (Oceans) 104, chapter 9, 20729–20751.

Layer ID 53030
Data type Image/Raster
Resolution About 1927.000m
Services Catalog Service (CS-W), data.govt.nz Atom Feed

Annual sea surface temperature difference from normal, 2011

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.

7840
1
Added
12 Feb 2016

This dataset was first added to MfE Data Service on 12 Feb 2016.

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 conditions.

This layer shows annual sea-surface temperature difference from normal for 2011 as part of the data series for years 1993 to 2013. "Normal" is defined as the average sea-surface temperature for 1993–2013.

NIWA’s sea-surface temperature archive is derived from the Advanced Very High Resolution Radiometer (AVHRR) satellite data it receives from the National Oceanic and Atmospheric Administration. The archive provides high spatial (approximately 1km) and high temporal (approximately 6-hourly in cloud-free locations) resolution estimates of sea-surface temperatures over the New Zealand region, dating from January 1993. Uddstrom and Oien (1999) and Uddstrom (2003) describe the methods used to derive and validate the data.

This dataset relates to the "Annual average sea-surface temperature" measure on the Environmental Indicators, Te taiao Aotearoa website.

Geometry: grid

Unit: percent

Further information can be found in:

Uddstrom, MJ (2003). Lessons from high-resolution satellite SSTs. Bulletin of the American Meteorological Society, 84(7), 896–897.

Uddstrom, MJ, & Oien, NA (1999). On the use of high resolution satellite data to describe the spatial and temporal variability of sea surface temperatures in the New Zealand region. Journal of Geophysical Research (Oceans) 104, chapter 9, 20729–20751.

Layer ID 53175
Data type Image/Raster
Resolution About 1927.000m
Services Catalog Service (CS-W), data.govt.nz Atom Feed

High class land for food production North Island 2012

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.

7770
44
Added
09 Feb 2016

This dataset was first added to MfE Data Service on 09 Feb 2016.

"This data identified areas in the South Island that have been classified as being the most productive for growing food. It supports most crops across New Zealand. Expanding lifestyle blocks and urban areas reduce the availability of high-class land for commercial crop growing, and this land is unlikely to be returned to primary production. This affects our commercial food-production capacity.

This data set relates to the "High-class land for food production" measure on the Environmental Indicators, Te taiao Aotearoa website."

Layer ID 52830
Data type Image/Raster
Resolution 100.000m
Services Catalog Service (CS-W), data.govt.nz Atom Feed

Distribution of stoats 2002–2014

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.

7747
50
Added
12 Feb 2016

This dataset was first added to MfE Data Service on 12 Feb 2016.

"The pressure from animal and plant pests is one of the biggest threats to biodiversity in the land environment. Pest predators (such as stoats and possums) eat eggs, birds, lizards, insects, and snails. Other animal pests (such as deer and goats) damage and kill trees and other plants and can compete with indigenous animals for the plants’ fruit and seed. Pest plants can out-grow the local vegetation. All these activities can dramatically change both our indigenous and agricultural environments.

This data set relates to the "Land pests" measure on the Environmental Indicators, Te taiao Aotearoa website."

Layer ID 53161
Data type Image/Raster
Resolution 100.000m
Services Catalog Service (CS-W), data.govt.nz Atom Feed

Annual sea surface temperature difference from normal, 2003

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.

7765
7
Added
12 Feb 2016

This dataset was first added to MfE Data Service on 12 Feb 2016.

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 conditions.

This layer shows annual sea-surface temperature difference from normal for 2003 as part of the data series for years 1993 to 2013. "Normal" is defined as the average sea-surface temperature for 1993–2013.

NIWA’s sea-surface temperature archive is derived from the Advanced Very High Resolution Radiometer (AVHRR) satellite data it receives from the National Oceanic and Atmospheric Administration. The archive provides high spatial (approximately 1km) and high temporal (approximately 6-hourly in cloud-free locations) resolution estimates of sea-surface temperatures over the New Zealand region, dating from January 1993. Uddstrom and Oien (1999) and Uddstrom (2003) describe the methods used to derive and validate the data.

This dataset relates to the "Annual average sea-surface temperature" measure on the Environmental Indicators, Te taiao Aotearoa website.

Geometry: grid

Unit: percent

Further information can be found in:

Uddstrom, MJ (2003). Lessons from high-resolution satellite SSTs. Bulletin of the American Meteorological Society, 84(7), 896–897.

Uddstrom, MJ, & Oien, NA (1999). On the use of high resolution satellite data to describe the spatial and temporal variability of sea surface temperatures in the New Zealand region. Journal of Geophysical Research (Oceans) 104, chapter 9, 20729–20751.

Layer ID 53171
Data type Image/Raster
Resolution About 1927.000m
Services Catalog Service (CS-W), data.govt.nz Atom Feed
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