Land Environments New Zealand (LENZ) - Level 3 Polygons (2009)

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.

2151
51
Updated
04 Mar 2015

This dataset was last updated on MfE Data Service on 04 Mar 2015.

Land Environments of New Zealand (LENZ) is a classification of fifteen climate, landform, and soil variables chosen for their relevance to biological distributions. Classification groups were derived by automatic classification using a multivariate procedure. Four levels of classification detail have been produced from this analysis, containing 20, 100, 200, and 500 groups respectively.
More information is available from the LENZ web site:
www.landcareresearch.co.nz/databases/lenz/

Layer ID 52355
Data type Vector polygon
Feature count 528490
Services Vector Query API, Web Feature Service (WFS)

NZ Hill Country Winter Forage 2018

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

2049
15
Added
23 Aug 2019

This dataset was first added to MfE Data Service on 23 Aug 2019.

The dataset maps areas of winter forage cropping and intensive winter grazing occurring in hill country areas during 2018. Hill country is defined as areas where paddocks have an average slope of greater than 7 degrees. Paddocks are classified into crop type and a measure is provided of the proportion of bare ground within the paddock after grazing.

Layer ID 103810
Data type Vector multipolygon
Feature count 9044
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Land Environments New Zealand (LENZ) - Level 2 Polygons (2009)

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.

1985
63
Added
30 Jun 2009

This dataset was first added to MfE Data Service on 30 Jun 2009.

Land Environments of New Zealand (LENZ) is a classification of fifteen climate, landform, and soil variables chosen for their relevance to biological distributions. Classification groups were derived by automatic classification using a multivariate procedure. Four levels of classification detail have been produced from this analysis, containing 20, 100, 200, and 500 groups respectively.
More information is available from the LENZ web site:
www.landcareresearch.co.nz/databases/lenz/

Layer ID 52357
Data type Vector polygon
Feature count 130829
Services Vector Query API, Web Feature Service (WFS)

Sentinel2 2019 Chatham Islands Footprints

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

1858
1
Added
23 Jul 2019

This dataset was first added to MfE Data Service on 23 Jul 2019.

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 a 10m, ten-band multispectral, cloud-minimised mosaic of Sentinel 2A and 2B satellite tiles over Chatham Islands made from scenes captured late-2018/early-2019.

Layer ID 103531
Data type Vector multipolygon
Feature count 28
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

LUCAS Satellite Imagery Interpretation Guide 2nd Edition

924
315
Added
01 Mar 2015

This item was first added to MfE Data Service on 01 Mar 2015

73
Document ID11107
File namelucas-satellite-imagery-interpretation-guide-2nd-edition.pdf
TypePDF
Size7.44 MB

LUCAS NZ Forest Clearing 2008-2018 v018

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

779
44
Updated
22 Jun 2020

This dataset was last updated on MfE Data Service on 22 Jun 2020.

Areas of LUCAS LUM forests that have been cleared between 2008 and 2018 inclusive. Forest clearing is detected using mosaics of satellite imagery captured over a range of dates; therefore the year of clearing provided is nominal.

Layer ID 99909
Data type Vector multipolygon
Feature count 37187
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Sentinel2 2019 Footprints

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

396
10
Added
23 Jul 2019

This dataset was first added to MfE Data Service on 23 Jul 2019.

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 a 10m, ten-band multispectral, cloud-minimised mosaic of Sentinel 2A and 2B satellite tiles over mainland New Zealand made from scenes captured late-2018/early-2019.

Layer ID 103530
Data type Vector multipolygon
Feature count 109
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Sentinel2 2018 Chatham Islands Footprints

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

240
1
Added
23 Jul 2019

This dataset was first added to MfE Data Service on 23 Jul 2019.

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 a 10m, ten-band multispectral, cloud-minimised mosaic of Sentinel 2A and 2B satellite tiles over Chatham Islands made from scenes captured late-2017/early-2018.

Layer ID 103528
Data type Vector multipolygon
Feature count 12
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed
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