LRIS Portal :: tag:lris.scinfo.org.nz,2008-10:feed:data:geotag=global/oceania/new-zealand/northland/far-north-district:sort=rLandcare Researchhttps://lris.scinfo.org.nz//MPI SLMACC Northland Soil Mapunit (version 11)tag:lris.scinfo.org.nz,2017-04:layers:485592017-04-26T01:19:09.770653+00:002017-04-27T21:13:58.869623+00:00
<a class="kxThumbnail" href="https://lris.scinfo.org.nz/layer/48559-mpi-slmacc-northland-soil-mapunit-version-11/" title="Details for MPI SLMACC Northland Soil Mapunit (version 11)"><img src="//tiles-cdn.koordinates.com/services/tiles/v4/thumbnail/layer=48559.60576,style=auto/90x70.png" alt="MPI SLMACC Northland Soil Mapunit (version 11) thumbnail"/></a><br />
<br /><strong>Updated with new data on 27 Apr 2017</strong><br />
<p>Soil map unit raster classification - generated from a Random Forest model based on soil auger data points and terrain and parent material co-variate layers. This model uses 16 soil map units which represent groupings of taxonomically similar soils at NZ Soil Classification sub-group to family level. Random Forest predicts classifications - the map units so defined will be assigned typical soil associations and properties </p>
<p>The project report (11 Mb PDF) for this work is downloadable at <a href="https://www.mpi.govt.nz/dmsdocument/30615-use-of-modern-technology-including-lidar-to-update-the-new-zealand-land-resource-inventory-report">www.mpi.govt.nz/dmsdocument/30615-use-of-modern-te...</a></p>
From: <a href="https://lris.scinfo.org.nz/group/slmacc-northland/" title="Profile for SLMACC Northland">SLMACC Northland</a><br />
Added: 26 Apr 2017<br />
Updated: 27 Apr 2017<br />
MPI SLMACC Northland Property-Scale LUCtag:lris.scinfo.org.nz,2017-04:layers:485532017-04-12T23:20:31.846683+00:002017-06-13T03:30:42.603654+00:00
<a class="kxThumbnail" href="https://lris.scinfo.org.nz/layer/48553-mpi-slmacc-northland-property-scale-luc/" title="Details for MPI SLMACC Northland Property-Scale LUC"><img src="//tiles-cdn.koordinates.com/services/tiles/v4/thumbnail/layer=48553.60592,style=auto/90x70.png" alt="MPI SLMACC Northland Property-Scale LUC thumbnail"/></a><br />
<br /><strong>Updated with new data on 13 Jun 2017</strong><br />
<p>This dataset is the land inventory and Land use capability output from the MPI SLMACC Northland project. It is derived from raster data through a series of modelling steps based on field data collected at over 400 observation points. Raster maps are then subjected to segmentation processing to create polygons that are assigned inventory attribute values based on zonal statistics from the original raster datasets. The majority of mapping is carried out by automated processing, the exceptions currently being erosion mapping and parent material (because of scale of available source information). Forestry 300 Index and Net Profit data is derived from modelled surfaces provided by SCION. Land Use Capability is assigned according to a set of rules defined by an expert. </p>
<p>The project report (11 Mb PDF) for this work is downloadable at <a href="https://www.mpi.govt.nz/dmsdocument/30615-use-of-modern-technology-including-lidar-to-update-the-new-zealand-land-resource-inventory-report">www.mpi.govt.nz/dmsdocument/30615-use-of-modern-te...</a></p>
From: <a href="https://lris.scinfo.org.nz/group/slmacc-northland/" title="Profile for SLMACC Northland">SLMACC Northland</a><br />
Added: 12 Apr 2017<br />
Updated: 13 Jun 2017<br />
MPI SLMACC Northland Hillshade 1mtag:lris.scinfo.org.nz,2017-04:layers:485552017-04-13T04:38:11.201630+00:002017-04-13T01:33:28.445466+00:00
<a class="kxThumbnail" href="https://lris.scinfo.org.nz/layer/48555-mpi-slmacc-northland-hillshade-1m/" title="Details for MPI SLMACC Northland Hillshade 1m"><img src="//tiles-cdn.koordinates.com/services/tiles/v4/thumbnail/layer=48555.60567,style=auto/90x70.png" alt="MPI SLMACC Northland Hillshade 1m thumbnail"/></a><br />
<br /><strong>Updated with new data on 13 Apr 2017</strong><br />
<p>Hill shade derived from 1 m resolution digital elevation model built from ground filtered LiDAR point cloud for MPI SLMACC Northland project area between Kaikohe and Paihia. </p>
<p>The project report (11 Mb PDF) for this work is downloadable at <a href="https://www.mpi.govt.nz/dmsdocument/30615-use-of-modern-technology-including-lidar-to-update-the-new-zealand-land-resource-inventory-report">www.mpi.govt.nz/dmsdocument/30615-use-of-modern-te...</a></p>
From: <a href="https://lris.scinfo.org.nz/group/slmacc-northland/" title="Profile for SLMACC Northland">SLMACC Northland</a><br />
Added: 13 Apr 2017<br />
Updated: 13 Apr 2017<br />
MPI SLMACC Northland - Erosion Inventorytag:lris.scinfo.org.nz,2017-04:layers:485562017-04-13T01:52:50.255914+00:002017-04-13T01:50:16.624784+00:00
<a class="kxThumbnail" href="https://lris.scinfo.org.nz/layer/48556-mpi-slmacc-northland-erosion-inventory/" title="Details for MPI SLMACC Northland - Erosion Inventory"><img src="//tiles-cdn.koordinates.com/services/tiles/v4/thumbnail/layer=48556.60568,style=auto/90x70.png" alt="MPI SLMACC Northland - Erosion Inventory thumbnail"/></a><br />
<br /><strong>Updated with new data on 13 Apr 2017</strong><br />
<p>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<br>
study area; the DEM aided the mapping of features not visible in the orthophotos due to age<br>
or vegetation cover. </p>
<p>The classification of erosion types followed the categories defined by the Land Use<br>
Capability Survey Handbook (Lynn et al. 2009), which differentiates between surface<br>
erosion, mass movement, fluvial erosion, and deposition. Note that the estimated depth of the<br>
landslides (s = shallow, d = deep) was not consistently recorded; instead, the area of the<br>
landslides serves as a reasonable proxy. </p>
<p>The project report (11 Mb PDF) relating to this work is downloadable at <a href="https://www.mpi.govt.nz/dmsdocument/30615-use-of-modern-technology-including-lidar-to-update-the-new-zealand-land-resource-inventory-report">www.mpi.govt.nz/dmsdocument/30615-use-of-modern-te...</a></p>
From: <a href="https://lris.scinfo.org.nz/group/slmacc-northland/" title="Profile for SLMACC Northland">SLMACC Northland</a><br />
Added: 13 Apr 2017<br />
Updated: 13 Apr 2017<br />
MPI SLMACC DSM soil mapunit (V12)tag:lris.scinfo.org.nz,2017-06:layers:485752017-06-13T21:38:36.247750+00:002017-06-13T21:36:49.895541+00:00
<a class="kxThumbnail" href="https://lris.scinfo.org.nz/layer/48575-mpi-slmacc-dsm-soil-mapunit-v12/" title="Details for MPI SLMACC DSM soil mapunit (V12)"><img src="//tiles-cdn.koordinates.com/services/tiles/v4/thumbnail/layer=48575.60594,style=auto/90x70.png" alt="MPI SLMACC DSM soil mapunit (V12) thumbnail"/></a><br />
<br /><strong>Updated with new data on 13 Jun 2017</strong><br />
<p>Soil map unit raster classification - generated from Random Forest model based on soil auger data points and terrain and parent material co-variate layers. This model uses 16 map units which represent groupings of taxonomically similar soils at NZ Soil Classification sub-group to family level. Random Forest predicts classifications - the map units so defined will be assigned typical soil associations and properties</p>
From: <a href="https://lris.scinfo.org.nz/group/slmacc-northland/" title="Profile for SLMACC Northland">SLMACC Northland</a><br />
Added: 13 Jun 2017<br />
Updated: 13 Jun 2017<br />
MPI SLMACC Auger and Tacit Soil Observationstag:lris.scinfo.org.nz,2017-06:layers:485742017-06-13T04:08:02.760846+00:002017-06-13T04:08:52.554816+00:00
<a class="kxThumbnail" href="https://lris.scinfo.org.nz/layer/48574-mpi-slmacc-auger-and-tacit-soil-observations/" title="Details for MPI SLMACC Auger and Tacit Soil Observations"><img src="//tiles-cdn.koordinates.com/services/tiles/v4/thumbnail/layer=48574.60593,style=auto/90x70.png" alt="MPI SLMACC Auger and Tacit Soil Observations thumbnail"/></a><br />
<br /><strong>Updated with new data on 13 Jun 2017</strong><br />
<p>This dataset contains 500 augers observations of soil properties collected for a digital soil mapping and land use capability analysis in the Kaikohe to Paihia area. An additional 172 tacit points of estimated soil properties at sites where pedologists were confident they could predict likely soil distribution are also included. </p>
<p>These data were used in conjunction with elevation, slope and other spatial explicit covariate data to predict soil distributions continuously across 100 km2 of Northland hill country </p>
<p>The project report (11 Mb PDF) for this work is downloadable at <a href="https://www.mpi.govt.nz/dmsdocument/30615-use-of-modern-technology-including-lidar-to-update-the-new-zealand-land-resource-inventory-report">www.mpi.govt.nz/dmsdocument/30615-use-of-modern-te...</a></p>
From: <a href="https://lris.scinfo.org.nz/group/slmacc-northland/" title="Profile for SLMACC Northland">SLMACC Northland</a><br />
Added: 13 Jun 2017<br />
Updated: 13 Jun 2017<br />