20231120 23192300 1.0 FALSE CreateMosaicDataset D:\Shared\Data\elevation.gdb DEM_2022_1m_BOPRegion_NZVD2016 PROJCS["NZGD_2000_New_Zealand_Transverse_Mercator",GEOGCS["GCS_NZGD_2000",DATUM["D_NZGD_2000",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",1600000.0],PARAMETER["False_Northing",10000000.0],PARAMETER["Central_Meridian",173.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0]],VERTCS["NZVD2016_height",VDATUM["New_Zealand_Vertical_Datum_2016"],PARAMETER["Vertical_Shift",0.0],PARAMETER["Direction",1.0],UNIT["Meter",1.0]] # "32-bit floating point" Custom # AddRastersToMosaicDataset D:\Shared\Data\elevation.gdb\DEM_2022_1m_BOPRegion_NZVD2016 "Raster Dataset" \\gisimg\Shared\MosaicTiles\ElevationTiles\DEM\DEM_2019_2022_1m_BOPRegion_PGFLiDAR UPDATE_CELL_SIZES UPDATE_BOUNDARY NO_OVERVIEWS # 0 1500 # # SUBFOLDERS "Allow duplicates" NO_PYRAMIDS CALCULATE_STATISTICS NO_THUMBNAILS # NO_FORCE_SPATIAL_REFERENCE ESTIMATE_STATISTICS # NO_PIXEL_CACHE C:\Users\simonal\AppData\Local\ESRI\rasterproxies\DEM_2022_1m_BOPRegion_NZVD2016 CalculateStatistics I:\Data\elevation.gdb\DEM_2022_1m_BOPRegion_NZVD2016 1 1 # OVERWRITE "Feature Set" CalculateStatistics I:\Data\elevation.gdb\DEM_2022_1m_BOPRegion_NZVD2016 1 1 # OVERWRITE "Feature Set" AddRastersToMosaicDataset D:\Shared\Data\elevation.gdb\DEM_2022_1m_BOPRegion_NZVD2016 "Raster Dataset" \\gisimg\Shared\MosaicTiles\ElevationTiles\DEM\DEM_2019_2022_1m_BOPRegion_PGFLiDAR\OuterRegionTiles\WaikatoRegionalCouncil UPDATE_CELL_SIZES UPDATE_BOUNDARY NO_OVERVIEWS # 0 1500 # # SUBFOLDERS "Exclude duplicates" NO_PYRAMIDS CALCULATE_STATISTICS NO_THUMBNAILS # NO_FORCE_SPATIAL_REFERENCE ESTIMATE_STATISTICS # NO_PIXEL_CACHE C:\Users\simonal\AppData\Local\ESRI\rasterproxies\DEM_2022_1m_BOPRegion_NZVD2016 AddRastersToMosaicDataset I:\Data\elevation.gdb\DEM_2022_1m_BOPRegion_NZVD2016 "Raster Dataset" \\GISIMG\Shared\MosaicTiles\ElevationTiles\DEM UPDATE_CELL_SIZES UPDATE_BOUNDARY NO_OVERVIEWS # 0 1500 # # SUBFOLDERS "Allow duplicates" NO_PYRAMIDS NO_STATISTICS NO_THUMBNAILS # NO_FORCE_SPATIAL_REFERENCE NO_STATISTICS # NO_PIXEL_CACHE C:\Users\simonal\AppData\Local\ESRI\rasterproxies\DEM_2022_1m_BOPRegion_NZVD2016 AddRastersToMosaicDataset \\gisimg-test\Shared\Data\elevation.gdb\DEM_2022_1m_BOPRegion_NZVD2016 "Raster Dataset" D:\Shared\MosaicTiles\ElevationTiles\DEM\DEM_2019_2022_1m_BOPRegion_PGFLiDAR UPDATE_CELL_SIZES UPDATE_BOUNDARY NO_OVERVIEWS # 0 1500 # # SUBFOLDERS "Allow duplicates" NO_PYRAMIDS NO_STATISTICS NO_THUMBNAILS # NO_FORCE_SPATIAL_REFERENCE NO_STATISTICS # NO_PIXEL_CACHE C:\Users\simonal\AppData\Local\ESRI\rasterproxies\DEM_2022_1m_BOPRegion_NZVD2016 AddRastersToMosaicDataset D:\Shared\Data\elevation.gdb\DEM_2022_1m_BOPRegion_NZVD2016 "Raster Dataset" \\gisimg\Shared\MosaicTiles\ElevationTiles\DEM\DEM_2019_2022_1m_BOPRegion_PGFLiDAR\BOPRCRegion;\\gisimg\Shared\MosaicTiles\ElevationTiles\DEM\DEM_2019_2022_1m_BOPRegion_PGFLiDAR\OuterRegionTiles UPDATE_CELL_SIZES UPDATE_BOUNDARY NO_OVERVIEWS # 0 1500 # # SUBFOLDERS "Allow duplicates" NO_PYRAMIDS NO_STATISTICS NO_THUMBNAILS # NO_FORCE_SPATIAL_REFERENCE NO_STATISTICS # NO_PIXEL_CACHE C:\Users\simonal\AppData\Local\ESRI\rasterproxies\DEM_2022_1m_BOPRegion_NZVD2016 AddRastersToMosaicDataset \\gisimg-test\Shared\Data\elevation.gdb\DEM_2022_1m_BOPRegion_NZVD2016 "Raster Dataset" \\GISIMG\Shared\MosaicTiles\ElevationTiles\DEM\DEM_2019_2022_1m_BOPRegion_PGFLiDAR\OuterRegionTiles\WaikatoRegionalCouncil\s3 UPDATE_CELL_SIZES UPDATE_BOUNDARY NO_OVERVIEWS # 0 1500 # # SUBFOLDERS "Allow duplicates" NO_PYRAMIDS CALCULATE_STATISTICS NO_THUMBNAILS # NO_FORCE_SPATIAL_REFERENCE NO_STATISTICS # NO_PIXEL_CACHE C:\Users\simonal\AppData\Local\ESRI\rasterproxies\DEM_2022_1m_BOPRegion_NZVD2016 CopyMultiple "I:\Data\elevation.gdb\DEM_2022_1m_BOPRegion_NZVD2016 MosaicDataset" R:\Data\elevation.gdb DEM_2022_1m_BOPRegion_NZVD2016 "DEM_2022_1m_BOPRegion_NZVD2016 MosaicDataset DEM_2022_1m_BOPRegion_NZVD2016 #" DEM_2022_1m_BOPRegion_NZVD2016 file://\\gisimg\Shared\Data\elevation.gdb Local Area Network 1847200.000000 2056960.000000 5676720.000000 5871120.000000 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/3.0.0'><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]],VERTCS[&quot;NZVD2016_height&quot;,VDATUM[&quot;New_Zealand_Vertical_Datum_2016&quot;],PARAMETER[&quot;Vertical_Shift&quot;,0.0],PARAMETER[&quot;Direction&quot;,1.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,7839]]</WKT><XOrigin>-4020900</XOrigin><YOrigin>1900</YOrigin><XYScale>450445547.3910538</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>2193</WKID><LatestWKID>2193</LatestWKID><VCSWKID>7839</VCSWKID><LatestVCSWKID>7839</LatestVCSWKID></ProjectedCoordinateSystem> 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dataset 20231121 File Geodatabase Raster Dataset LiDAR was captured for BOPLASS Ltd by Aerial Surveys from 27 October 2019 to 24 October 2022. This Image Service contains the Digital Elevation Model (DEM) processed from the ground LiDAR point cloud, including DEM tiles from neighboring regions. <div style='text-align:Left;'><div><div><span style='font-size:16px;'>LiDAR was captured for BOPLASS Ltd by Aerial Surveys from 27 October 2019 to 24 October 2022.  </span></div><div><span style='font-size:16px;'><br /></span></div><div><span style='font-size:16px;'>This Image Service contains the Digital Elevation Model (DEM) processed from the ground LiDAR point cloud, including DEM tiles from neighboring regions.</span></div></div></div><div style='text-align:Left;'><span style='font-size:16px;'><br /></span></div><div style='text-align:Left;'><span style='font-size:16px;'>BOPRC Provincial Groth Fund (PGF) LiDAR Block 1-4 were combined into a single mosaic dataset from Block 1 (Western Bay of Plenty/TCC/Offshore Islands), 2 (Whakatane/Offshore Islands), 3 (Rotorua), and 4 (Opotiki/Offshore Islands). These areas are available for download on the LINZ Data Service. </span><a href='https://data.linz.govt.nz/layer/105690-bay-of-plenty-lidar-1m-dem-2019-2022/' target='_blank'>https://data.linz.govt.nz/layer/105690-bay-of-plenty-lidar-1m-dem-2019-2022/ </a><span style='font-size:16px;'> </span><font size='3'><br /></font></div><div style='text-align:Left;'><span style='font-size:16px;'><br /></span></div><div style='text-align:Left;'><div style='font-size:16px;'>The purposeful extent of this Bay of Plenty Regional Council (BOPRC) elevation layer is the same as its sister DSM which tends to cover all surface water catchments within the BOPRC Region as depicted from the Draft National Policy Statement for Freshwater Management (NPSFM) Freshwater Management Unit (FMU) boundaries <a href='https://maps.boprc.govt.nz/datasets/BOPRC::freshwater-management-units-draft' target='_blank'>https://maps.boprc.govt.nz/datasets/BOPRC::freshwater-management-units-draft</a> aligned to NIWA REC 2.4 boundaries <a href='https://www.arcgis.com/home/item.html?id=28d23ad94c2a4846b7634f4cdbba178f' target='_blank'>https://www.arcgis.com/home/item.html?id=28d23ad94c2a4846b7634f4cdbba178f</a>.</div><div><br /><font size='3'>Outer region DEM tiles and additional Taupo District elevation tiles falling within the BOPRC region were kindly supplied by the adjacent regions/territorial local authorities (Waikato Regional Council, Gisborne District Council, and Hawkes Bay Regional Council) or acquired directly through the Land Information New Zealand (LINZ) Data Service.</font></div><span style='font-size:16px;'><div><br /></div></span></div><div style='text-align:Left;'><span style='font-size:16px;'>Because the outer-region tiles originated from a different batch/source of processed elevation models, edge artifact and slight discrepancies maybe visible. This will be fixed when National LiDAR point cloud derived surfaces are developed and made available for the tiles between different region captures.</span><span style='font-size:16px;'><br /></span></div><div style='text-align:Left;'><span style='font-size:16px;'><br /></span></div><div style='text-align:Left;'><span style='font-size:16px;'>General specifications across this dataset included:</span><br /></div><div style='text-align:Left;'><span style='font-size:16px;'><br /></span></div><div style='text-align:Left;'><p><span style='font-size:16px;'>- Pulse density specification is at a minimum of &gt;4 pulses/square meter.</span><br /></p><p><span style='font-size:16px;'>- Vertical Accuracy Specification is +/- 0.2m (95%)</span></p><p><span style='font-size:16px;'>- Horizontal Accuracy Specification is +/- 1.0m (95%)</span></p><p><span style='font-size:16px;'>Vertical datum is NZVD2016.  Projection/Coordinate System: New Zealand Transverse Mercator (NZTM).</span></p></div><div style='text-align:Left;'><font size='3'>The Digital Surface Model (DSM) which includes ground heights is available from the LINZ Data Service at </font><a href='https://data.linz.govt.nz/layer/105691-bay-of-plenty-lidar-1m-dsm-2019-2022/' target='_blank'>https://data.linz.govt.nz/layer/105691-bay-of-plenty-lidar-1m-dsm-2019-2022/</a><font size='3'> The LAS point cloud and vendor project reports are available from </font><a href='https://OpenTopography.org' target='_blank'>OpenTopography.org</a><font size='3'> </font><a href='https://portal.opentopography.org/datasetMetadata?otCollectionID=OT.082021.2193.1' target='_blank'>https://portal.opentopography.org/datasetMetadata?otCollectionID=OT.082021.2193.1</a><font size='3'>  </font><br /></div><div style='text-align:Left;'><p><font size='3'><span style='font-family:&quot;Segoe UI&quot;, Arial, sans-serif;'>The Elevation Aotearoa story map hosted by LINZ is an excellent resource and can be used to learn about use cases of LiDAR and how to use make the most use of it. </span><a href='https://linz.maps.arcgis.com/apps/MapSeries/index.html?appid=2552c3a5cee24f7b87806b085c3fee8a' target='_blank'>https://linz.maps.arcgis.com/apps/MapSeries/index.html?appid=2552c3a5cee24f7b87806b085c3fee8a</a></font></p><p><span style='font-size:12pt;'><br /></span></p><p><span style='font-size:12pt;'>Please see the below </span><span style='font-weight:bold; font-size:12pt;'>extended metadata series </span><span style='font-size:12pt;'>for additional details and specs related to this dataset and underlying source LiDAR point cloud data. This section also lists where the source data resides.</span><br /></p><p><span style='font-size:12pt;'>Vendor Survey Reports: </span><a href='https://object.cloud.sdsc.edu:443/v1/AUTH_opentopography/www/metadata/NZ20_BoP_metadata.pdf' style='text-decoration:underline;'><span style='font-size:12pt;'>https://object.cloud.sdsc.edu/v1/AUTH_opentopography/www/metadata/NZ20_BoP_metadata.pdf</span></a><span style='font-size:12pt;'> </span></p><p><span style='font-size:12pt;'>Vendor LAS validation reports: </span><a href='https://object.cloud.sdsc.edu:443/v1/AUTH_opentopography/www/metadata/NZ20_BoP_metadata.pdf' style='text-decoration:underline;'><span style='font-size:12pt;'>https://object.cloud.sdsc.edu/v1/AUTH_opentopography/www/metadata/NZ20_BoP_metadata.pdf</span></a></p><p>---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------<br /></p><p>This high-quality LiDAR data is also consumed in an Eagle hosted NZ Elevation layer on the ESRI living atlas of NZ and also in the World Terrain elevation layer on the ESRI world living atlas. Consider using these image services in your workflows as supplementary as they may be faster and provide different functionality at different spatial scales. For use in 3d apps and basemaps, consider using the tile layers.</p><p style='margin:0 0 0 0;'><span></span></p><p style='margin:0 0 0 0;'><span>Eagle ESRI NZ Elevation Layer: </span><a href='https://services1.arcgisonline.co.nz:443/arcgis/rest/services/Elevation/New_Zealand_Elevation/ImageServer' style='text-decoration:underline;'><span>https://services1.arcgisonline.co.nz/arcgis/rest/services/Elevation/New_Zealand_Elevation/ImageServer</span></a></p><p style='margin:0 0 0 0;'>ESRI Living Atlas World Terrain elevation layer: <a href='https://elevation.arcgis.com:443/arcgis/rest/services/WorldElevation/Terrain/ImageServer'>https://elevation.arcgis.com/arcgis/rest/services/WorldElevation/Terrain/ImageServer</a><br /></p><p style='margin:0 0 0 0;'><span></span></p><p><span><br /></span></p><p><span>Any queries</span><span> about accessing additional related data</span><span> or</span><span> if you experience any</span><span> problems accessing anything, contact the BOPRC Geospatial team at </span><a href='https://www.boprc.govt.nz/your-council/contact-us' target='_blank'>https://www.boprc.govt.nz/your-council/contact-us</a></p><p><span></span></p><p><span></span></p></div> Bay of Plenty Regional Council, BOPLASS, LINZ, Waikato Regional Council, Gisborne District Council, Hawkes Bay Regional Council DEM_2019_2022_1m_BOPRegion_NZVD2016 NZVD2016 NZTM PGF LiDAR Ground Elevation Model DEM 2019-2023 BOPLASS LINZ Data Service OpenTopography.org Waikato Regional Council Gisborne District Council Hawkes Bay Regional Council <p>This work is licensed under <a href='http://creativecommons.org/licenses/by/4.0/?ref=chooser-v1' target='_blank' style='display:inline-block;'>CC BY 4.0<img style='height:22px!important; margin-left:3px;' src='https://mirrors.creativecommons.org/presskit/icons/cc.svg?ref=chooser-v1' /><img style='height:22px!important; margin-left:3px;' src='https://mirrors.creativecommons.org/presskit/icons/by.svg?ref=chooser-v1' /></a></p> Microsoft Windows 10 Version 10.0 (Build 19045) ; Esri ArcGIS 13.0.3.36057 1 175.788005 178.271108 -37.194534 -39.023638 2 1 0 1847200.000000 5676720.000000 1847200.000000 5871120.000000 2056960.000000 5871120.000000 2056960.000000 5676720.000000 1952080.000000 5773920.000000 209760 1.000000 194400 1.000000 EPSG 6.15(9.0.0) Band_1 1596.370972 -46.851002 32