NZLRI Erosion Type and Severity

4081
515
Added
07 May 2010

This dataset was first added to LRIS Portal on 07 May 2010.

The NZLRI is a spatial database containing about 100,000 polygons (map units), each of which describes a parcel of land in terms of five characteristics or attributes (rock, soil, slope, erosion, vegetation). This layer represents a GIS dissolve on the erosion attribute of the NZLRI.

Layer ID 48054
Data type Vector polygon
Feature count 60010
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

NZEEM (Erosion Rates) North Island

3463
68
Added
02 Dec 2010

This dataset was first added to LRIS Portal on 02 Dec 2010.

Mean annual erosion rates (tonnes of soil/km2/yr) in the North Island of New Zealand under current landcover generated from EcoSat Woody (2001-2003).

This layer is not available for download on LRIS. If you are interested in downloading that layer, please contact John Dymond.

Reference: John R. Dymond, Harley D. Betts, Christina S. Schierlitz, An erosion model for evaluating regional land-use scenarios, Environmental Modelling and Software, Volume 25, Issue 3, March 2010, Pages 289-298, ISSN 1364-8152, DOI.

Layer ID 48178
Data type Grid
Resolution 15.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

NZEEM (Erosion Rates) South Island

1582
20
Added
02 Dec 2010

This dataset was first added to LRIS Portal on 02 Dec 2010.

Mean annual erosion rates (tonnes of soil/km2/yr) in the South Island of New Zealand under current landcover generated from EcoSat Woody (2001-2003).

This layer is not available for download on LRIS. If you are interested in downloading that layer, please contact John Dymond.

Reference: John R. Dymond, Harley D. Betts, Christina S. Schierlitz, An erosion model for evaluating regional land-use scenarios, Environmental Modelling and Software, Volume 25, Issue 3, March 2010, Pages 289-298, ISSN 1364-8152, DOI.

Layer ID 48176
Data type Grid
Resolution 15.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

MPI SLMACC Northland - Erosion Inventory

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.

1030
6
Added
13 Apr 2017

This dataset was first added to LRIS Portal on 13 Apr 2017.

This erosion type mapping was carried out on-screen using the 10 cm digital orthophotography supported by visual terrain analysis using the LiDAR DEM (hill shade and slope classification). The orthophotos were used to identify the most recent erosion features in the Kaikohe
study area; the DEM aided the mapping of features not visible in the orthophotos due to age
or vegetation cover.

The classification of erosion types followed the categories defined by the Land Use
Capability Survey Handbook (Lynn et al. 2009), which differentiates between surface
erosion, mass movement, fluvial erosion, and deposition. Note that the estimated depth of the
landslides (s = shallow, d = deep) was not consistently recorded; instead, the area of the
landslides serves as a reasonable proxy.

The project report (11 Mb PDF) relating to this work is downloadable at www.mpi.govt.nz/dmsdocument/30615-use-of-modern-te...

Layer ID 48556
Data type Vector multipolygon
Feature count 1645
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W)

Sediment Lost

Licence

Creative Commons Attribution-Noncommercial-No Derivative Works 3.0

You may not use this work for commercial purposes.

You must attribute the creator in your own works.

You must not release derivatives of this work.

241
12
Added
23 Apr 2018

This dataset was first added to LRIS Portal on 23 Apr 2018.

This layer depicts estimated sediment/soil loss across New Zealand and was created using the NZeem erosion model. Erosion control is defined as the prevention of soil loss by an ecosystem. NZeem has been calibrated from sediment discharges measured in New Zealand rivers (Dymond et al., 2010). This model estimates the long-term mean erosion rate from all sources of erosion, both mass-movement and surficial, and accounts for all sizes of rainfall events. The model was run on the national datasets of rainfall, erosion terrains, and land cover to produce a national 1:50,000 scale map of long-term mean erosion rates. Dymond et al. (2010) assessed the accuracy of the model by comparing predictions of specific sediment discharge (assuming sediment delivery ratio of 1 everywhere) with available measurements and obtained a model efficiency of 0.64.

Layer ID 95388
Data type Grid
Resolution 100.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Sediment Retained

Licence

Creative Commons Attribution-Noncommercial-No Derivative Works 3.0

You may not use this work for commercial purposes.

You must attribute the creator in your own works.

You must not release derivatives of this work.

227
10
Added
23 Apr 2018

This dataset was first added to LRIS Portal on 23 Apr 2018.

This layer depicts estimated sediment/soil retention across New Zealand and was created using the NZeem erosion model. Sediment retained is defined as the difference between soil loss with and without tree cover (sediment loss avoided). Erosion control is defined as the prevention of soil loss by an ecosystem. NZeem has been calibrated from sediment discharges measured in New Zealand rivers (Dymond et al., 2010). This model estimates the long-term mean erosion rate from all sources of erosion, both mass-movement and surficial, and accounts for all sizes of rainfall events. The model was run on the national datasets of rainfall, erosion terrains, and land cover to produce a national 1:50,000 scale map of long-term mean erosion rates. Dymond et al. (2010) assessed the accuracy of the model by comparing predictions of specific sediment discharge (assuming sediment delivery ratio of 1 everywhere) with available measurements and obtained a model efficiency of 0.64.

Layer ID 95387
Data type Grid
Resolution 100.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed