20250311 18323900 1.0 FALSE GISADMIN.High_Sediment_Yield_Land 1631683.249500 1739727.771600 6030362.480900 6144176.178800 1 002 Projected GCS_NZGD_2000 Linear Unit: Meter (1.000000) NZGD_2000_New_Zealand_Transverse_Mercator <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.3.0'><WKT>PROJCS[&quot;NZGD_2000_New_Zealand_Transverse_Mercator&quot;,GEOGCS[&quot;GCS_NZGD_2000&quot;,DATUM[&quot;D_NZGD_2000&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;False_Easting&quot;,1600000.0],PARAMETER[&quot;False_Northing&quot;,10000000.0],PARAMETER[&quot;Central_Meridian&quot;,173.0],PARAMETER[&quot;Scale_Factor&quot;,0.9996],PARAMETER[&quot;Latitude_Of_Origin&quot;,0.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,2193]]</WKT><XOrigin>-4020900</XOrigin><YOrigin>1900</YOrigin><XYScale>10000</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>2193</WKID><LatestWKID>2193</LatestWKID></ProjectedCoordinateSystem> 20250311 17171800 20250311 17171800 5000000 25000 ISO19139 Item Description GISADMIN.High_Sediment_Yield_Land Feature Class 0 OBJECTID Object Id OID 4 10 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. SHAPE Shape Geometry 8 0 0 Feature geometry. Esri Coordinates defining the features. Name_2012 Vegetation Cover String 254 0 0 Catchment Catchment String 50 0 0 Sediment_Yield Sediment Yield String 30 0 0 Classification Classification String 50 0 0 Shape.STArea() Shape.STArea() Double 0 0 0 Shape.STLength() Shape.STLength() Double 0 0 0 dataset David Pairman Landcare Research New Zealand Ltd Research Leader +64 3 321 9763 P O Box 69 Lincoln Canterbury 8192 NZ pairmand@landcareresearch.co.nz Peter Newsome Landcare Research New Zealand Ltd Scientist / Project Manager +64 6 353 4975 Private Bag 11052, Manawatu Mail Centre Palmerston North Manawatu 4442 NZ newsomep@landcareresearch.co.nz 20250311 ArcGIS Metadata 1.0 Enterprise Geodatabase Feature Class ArcGIS10.2 http://www.digitalpreservation.gov/formats/fdd/fdd000294.shtml New Zealand, North Island, South Island, Chatham Islands, clip area 871.411 https://lris.scinfo.org.nz/layer/423-lcdb-v41-land-cover-database-version-41-mainland-new-zealand/ High Sediment Yield Land Areas - Proposed Regional Plan (Council Decision) LCDB v4.1, LCDB4.1 2015-06-30T00:00:00 2015-06-30T00:00:00 Version 4.1 20150630 David Pairman Landcare Research New Zealand Ltd Research Leader +64 3 321 9763 P O Box 69 Lincoln Canterbury 8192 NZ pairmand@landcareresearch.co.nz Peter Newsome Landcare Research New Zealand Ltd Scientist / Project Manager +64 6 353 4975 Private Bag 11052, Manawatu Mail Centre Palmerston North Manawatu 4442 NZ newsomep@landcareresearch.co.nz New Zealand Land Cover Database version 4.1 (LCDB4.1) <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="font-weight:bold;margin:0 0 0 0;"><SPAN><SPAN>This dataset is part of the Proposed Regional Plan, July 2017. It has no legal effect.</SPAN></SPAN></P><P STYLE="font-weight:bold;margin:0 0 0 0;"><SPAN /><SPAN /></P><P STYLE="margin:0 0 7 0;"><SPAN><SPAN>These areas identify land with a high potential sediment yield in the Waitangi, Mangere, Doubtless Bay and Whangarei Harbour Priority Catchments. The areas have been identified using the SedNet model to estimate sediment yield by area. </SPAN></SPAN></P><P STYLE="margin:0 0 7 0;"><SPAN><SPAN>The purpose of identifying land with High Sediment Yield is to prioritise intervention to those areas where a reduction in sediment/erosion can be cost effectively achieved in order to improve fresh and coastal water quality. Pastoral land use in these areas will be subject to a rule requiring Erosion Control Plans be developed by 1 January 2025 – if no Erosion Control Plan is in place resource consent would be required to undertake pastoral land use on these areas. </SPAN></SPAN></P><P STYLE="margin:0 0 7 0;"><SPAN><SPAN>Thresholds to identify High Sediment Yielding land were selected through a collaborative catchment planning process in the subject catchments and were considered for each catchment in the light of likely sediment reduction, costs and resourcing required. The thresholds for High Sediment Yielding land are &gt;250t/km2/yr for the Waitangi, Mangere, and Whangarei Harbour catchments and &gt;500t/km2/yr in the Doubtless Bay Catchment. </SPAN></SPAN></P><P><SPAN><SPAN>The appropriate scale of use is 1:25,000 </SPAN></SPAN></P></DIV></DIV></DIV> Areas of land which are identified as having high sediment yield based on SEDNET the model. The thresholds used in the Waitangi, Mangere and Whangarei catchments are >250 tonnes/km2/yr and >500tonnes/km2/yr in the Doubtless Bay catchment. NB: This dataset is part of the Proposed Regional Plan, July 2017. It has no legal effect. MfE, DoC, LINZ, WDC, FNDC, KDC, NRC Peter Newsome Landcare Research New Zealand Ltd Scientist / Project Manager +64 6 353 4975 Private Bag 11052, Manawatu Mail Centre Palmerston North Manawatu 4442 NZ newsomep@landcareresearch.co.nz David Pairman Landcare Research New Zealand Ltd Research Leader +64 3 321 9763 P O Box 69 Lincoln Canterbury 8192 NZ pairmand@landcareresearch.co.nz Funding for the compilation of LCDB versions 3 and 4 was from the Ministry for Science and Innovation under contract CO9X1101 whose term began in July 2011 and concluded on 30 June 2015. LCDB will continue in the custody of Landcare Research but maintenance and future updates are contingent upon new funding becoming available. Peter Newsome Landcare Research New Zealand Ltd Scientist / Project Manager +64 6 353 4975 Private Bag 11052, Manawatu Mail Centre Palmerston North Manawatu 4442 NZ newsomep@landcareresearch.co.nz New Zealand Estuarine Open Water Gravel and Rock Transport Infrastructure Herbaceous Saline Vegetation Broadleaved Indigenous Hardwoods Manuka and/or Kanuka Urban Parkland/Open Space Mangrove Depleted Grassland Gorse and/or Broom Herbaceous Freshwater Vegetation Sand and Gravel Lake or Pond Deciduous Hardwoods Short-rotation Cropland Flaxland Alpine Grass/Herbfield Indigenous Forest Built-up Area (settlement) Surface Mines and Dumps Exotic Forest Forest - Harvested Matagouri or Grey Scrub Sub Alpine Shrubland Tall Tussock Grassland Fernland Mixed Exotic Shrubland Orchard Vineyard & Other Perennial Crops River Permanent Snow and Ice High Producing Exotic Grassland Landslide Dune Shrubland Low Producing Grassland Peat Shrubland 1996, 2001, 2008, 2012, 1996/97, 2001/02, 2008/09, 2012/13 Vegetation, Wetland, Agriculture, Forest, Environment, Land Cover, Land Use Downloadable Data Landcare SedNetNZ NRC SRV Proposed Regional Plan Catchment Optimisation Erosion Control Plans The New Zealand Land Cover Database is managed by Landcare Research New Zealand Ltd on behalf of the New Zealand Government and is published for general use under a Creative Commons by Attribution 3.0 New Zealand licence (https://creativecommons.org/licenses/by/3.0/nz/) 5000000 25000 Esri ArcGIS 13.3.0.52636 The data set has completeness of coverage for the New Zealand mainland and near-shore Islands and Chatham Islands for all time periods. The data set has completeness of classification. Classification schema has a nominal 1 ha Minimum Mapping Unit (MMU), The classification used in LCDB v4 is presented in the document 'LCDBClassesAtVersion4.1.pdf' available as an attachment to this dataset in the LRIS portal (www.lcdb.scinfo.org.nz/) and on the LCDB project site (www.lcdb.scinfo.org.nz). The data set has completeness of verification. Land cover classes at LCDB v2 utilised ground data to inform supervised and manual image classification and the draft classification underwent field verification (refer LCDB2 readme directory for description of field checking procedure). LCDB v3.0, v3.3, v4.0 and v4.1 utilised satellite imagery and aerial photography primarily, with field verification and error notification contributed for limited areas by stakeholders. false 166.262038 179.501385 -47.421639 -34.008229 true NZ true 166.262038 179.501385 -47.421639 -34.008229 The nominal minimum mapping unit for the data is 1 hectare and the imagery has being classified into 33 thematic classes on the New Zealand mainland with a further two classes created for mapping the Chatham Islands. The coastline used in LCDB versions 3 and 4 is that of the 1:50,000 NZTopo database from the Land Information New Zealand (LINZ), NZ Coastline and NZ Islands layers. These are licensed by LINZ as Creative Commons Attribution 3.0 New Zealand, and were sourced from the LINZ Data Service (http://www.linz.govt.nz/data/linz-data-service). An “Onshore” attribute is used to indicate where classes are mapped inside the Topo50 coastline (Onshore = ‘yes’) or outside the Topo50 coastline (Onshore = ‘no’) (the latter primarily involving; mangroves, herbaceous saline vegetation, and estuarine open water). An accuracy assessment on LCDB v4.0 mapping was undertaken in 2014 with results available as attachments to this dataset in the LRIS portal (https://lris.scinfo.org.nz/) and on the LCDB project site (www.lcdb.scinfo.org.nz). The data set has been captured and is stored in ESRI File GeoDatabase format (http://www.digitalpreservation.gov/formats/fdd/fdd000294.shtml). The data has been built for polygon topology and has been checked for duplication and anomalies within the data. 1 173.346551 174.547562 -34.835125 -35.870459 <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN><SPAN>This dataset is part of the Proposed Regional Plan. It has no legal effect.</SPAN></SPAN></P></DIV></DIV></DIV> Peter Newsome Landcare Research New Zealand Ltd Scientist / Project Manager +64 6 353 4975 Private Bag 11052, Manawatu Mail Centre Palmerston North Manawatu 4442 NZ newsomep@landcareresearch.co.nz Attribution 3.0 New Zealand http://creativecommons.org/licenses/by/3.0/nz/ The LCDB is compiled using a combination of manual on-screen digitising and image classification informed by automated change detection based on spectral difference between images at successive dates. Mapping confidence has improved from version to version as imagery has improved, accessory datasets have assisted decision-making and errors have been corrected. An analysis undertaken at LCDB version 3.0 indicated overall map accuracy was better than 95% (http://www.lcdb.scinfo.org.nz/about-lcdb/accuracy-assessment). LCDB v1 was created 'de novo' from classified SPOT satellite imagery with polygons either captured directly from the classified imagery or manually digitised. The modest classification of 16 LCDB v1 classes were considerably expanded to 43 classes for LCDB v2 and polygon boundaries were significantly re-drawn by manual digitising over LandSat 7 and ETM+ satellite imagery. Mapping of the second (2001/02) time step was informed by a ‘difference layer’ created by comparison between 1996/97 and 2001/02 imagery and an extensive field checking phase sought to verify the mapping. LCDBs v3 and v4 consolidated and refined the mapping process by firstly rationalising the classification to 33 mainland classes (35 with Chatham Islands included), smoothing polygon boundaries to remove latent artifacts of the early raster mapping, and aligning the mapping with the standard topographic coastline. Improved imagery and image classification techniques, combined with resource limitations, prompted a decision to not undertake widespread field checking, but ancilliary data and stakeholder reviews were built into the mapping workflow. Change mapping remained a manual, on-screen, process but was assisted by improved imagery difference detection, a variety of supporting imagery (including aerial photography), and accessory datasets (such as New Zealand’s Kyoto Land Use mapping). The minimum mapping unit for the data is nominally 1 hectare. Polygons from earlier versions less than 1/10 hectare were removed. LCDB v3.0 undertook a 'rubber-sheet' correction of a mis-aligned area of mapping in South Westland / northern Otago, and mapped a new time step corresponding to summer 2008/09 using SPOT 5 satellite imagery acquired between November 2006 and October 2008. Some cloud affected areas were in filled using Landsat or imagery from earlier dates. Satellite imagery was pan sharpened to 10m spatial resolution with terrain normalisation. Orthorectification was to the New Zealand Map Grid using photogrammetric software. Ground control points, used to position the imagery in the rectification process, were measured from aerial photography. Elevation models, used to correct distortion due to height, have 15m pixels and were generated from 20m contour data. Orthorectification met the target of 95% of the imagery being accurate within 5 metres r.m.s. error. Map updates were guided by an analysis of the new data identifying patches with spectral signatures inconsistent with the LCDB2 class. Operators then used visual interpretation and manual digitising techniques to re-map in the vicinity of identified inconsistencies. In addition to the new SPOT data, imagery from other dates before and after was viewed simultaneously to help make decisions on the correct class and what is likely happening on the ground. Higher resolution SPOT Maps data from 2008/09 was included in this image set. Harvested forest polygons at 2001 were reviewed and their new 2008 state entered and new forest harvesting at 2008 incorporated. Ancillary data such as digital topodata, aerial photography and published topomaps were used to assist in the interpretation of the imagery. Regional councils and the Department of Conservation reviewed the draft mapping and provided corrections for errors found in their areas of interest. An accuracy assessment on LCDB3.0 mapping was undertaken early in 2012 and results made available on the LRIS portal (https://lris.scinfo.org.nz/) and on the LCDB project site (www.lcdb.scinfo.org.nz). LCDB v3.3 is an improvement to LCDB3.0 as a result of five processes: • A review of improbable land cover transitions, correcting those found in error • A review of >20ha mapped land cover transitions between 2001/02 and 2008/09, correcting those found in error (some of these records were exposed as original error rather than recent-date change) • Croplands and Settlements were reviewed and improved using recently updated Kyoto Land Use Mapping (refer http://www.mfe.govt.nz/land/data-organisations/land-use-map#map). • A review of South Island tussock and low producing grasslands to delineate those which have undergone recent improvement (commonly, but not always, associated with dairy conversion) • Correction of error (in classification or delineation) noticed in the vicinity of edits undertaken above and those notified by users LCDB v4.0 introduced a fourth time step, land cover corresponding nominally to summer 2012/13 using SPOT 5 satellite imagery acquired between October 2011 and February 2013. In addition to 2008-2012 change mapping, further improvements were made through five other processes: • Incorporation of high-quality wetland mapping of five Regions (Bay of Plenty, Taranaki, Manawatu-Whanganui, Wellington and Otago), and one District (Far North) • Mapping of detected change between 2008/09 and 2012/13 including that associated with harvesting/replanting of production forests • Correction of error (in classification or delineation) noticed in the vicinity of edits undertaken above and those notified by users • Incorporation of new urban development not detected by the change analysis above but recorded in the LINZ core record system (cadastral) database LCDB v4.1 is an improvement to LCDB v4.0 as a result of three processes: • Significant contradictions in woody land covers between LCDB v4.0 and 2012 Kyoto Land Use Mapping were investigated and, where necessary, corrections made - these mainly represented indigenous/exotic and forest/scrub confusions. • Unmapped woody vegetation patches in grassland polygons were detected by spectral methods verified with radar (ALOS PALSAR) analysis, and incorporated in a semi-automated process. • Error-correction arising from user feedback and limited 'green field mapping' improvements were made during and following the foregoing processes. The data set has been captured and is stored in digital ArcGIS file Geodatabase and ESRI Shapefile format with an internal database structure storing the attribute data. 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