Search | Greater Wellington Regional Council Open Data

933 locations

9 attributes

GWRC Flood Hazards Areas for the Wellington Region (from GWRC Open Data Group)

Shared by GWRC_Admin on July 3, 2017. updated 7 days ago.
Combined regional flood hazards extent for rivers and streams in the Wellington Region. Data supplied in Feb 2017 from GWRC Flood Protection Dept for the GWRC public flood hazard maps project. Extra extent data supplied by KCDC and WCC was added in May 2017. If you want more information about Flood Risk in the Western part of the Region, please contact Greater Wellington Regional Council on 04 830 4084. If you want more information about Wairarapa Valley Flood Risk please contact Greater Wellington Regional Council's Masterton office on 06 378 2484.
267982 locations

8 attributes

Coastal land elevation for the Wellington Region, NZ (from GWRC Open Data Group)

Shared by GibsonJ_GWRC on June 8, 2016. updated about 2 months ago.
<div>LiDAR elevation data shows land elevation in centimetres above Mean High Water Springs-10 (MHWS10). MHWS10 is the mean high water spring tide exceeded 10 percent of the time. It is often used as a practical high tide level for infrastructure design works, and also for estimating extreme high (e.g. the 100-year Average Recurrence Interval) storm tides.</div><div> </div><div>The data was supplied by Parliamentary Commissioner for the Environment in Nov 2015 and processed by NIWA for the PCE. It was originally based off the WAGGIS Wellington Region LIDAR captured in 2013. See http://www.pce.parliament.nz/media/1384/national-and-regional-risk-exposure-in-low-lying-coastal-areas-niwa-2015.pdf for more information. </div><div> </div><div>NIWA contact is Rob Bell, Principal Scientist - Coastal and Estuarine Physical Processes (Rob.Bell@niwa.co.nz). Commissioned by the Parliamentary Commissioner for the Environment. Supplied by Greater Wellington Regional Council. Original LIDAR elevation data from WAGGIS.</div><div> </div><div>Original LIDAR data captured at 1.3 points per square metre, to an accuracy of +/- 0.15m (1 sigma) in 2013-2014 for the WAGGIS (Wellington Area Government GIS) Consortium.</div><div> </div><div>This dataset has been simplified by GWRC using an automated polygon simplification algorithm & polygons less than 4 square metres in area have been removed.</div>
22 locations

5 attributes

Tide height points (from GWRC Open Data Group)

Shared by GWRC_Admin on September 12, 2017. updated 6 months ago.
Mean High Water Springs-10 (MHWS10) line for the Greater Wellington Region, NZ. MHWS10 is the mean high water spring tide exceeded 10 percent of the time. It is often used as a practical high tide level for infrastructure design works, and also for estimating extreme high (e.g. the 100-year Average Recurrence Interval) storm tides.Line extracted from a LIDAR DEM dated 2013 at 1m cell-size. LIDAR specification was for a ground model of +/-0.1 to 0.15m in z (1 sigma) with a resolution of 1.3 points per square metre. The line corresponds to an elevation contour defined from known tidal heights as offsets above the Wellington 1953 vertical datum. The elevation value in metres is provided with each line segment. The elevation value is derived from values in Appendices A and B in this report : http://www.pce.parliament.nz/media/1384/national-and-regional-risk-exposure-in-low-lying-coastal-areas-niwa-2015.pdf Also points showing tidal elevations relative to Wgtn VD 1953.
75246 locations

17 attributes

GWRC Detailed Wairarapa Streams - Sheet BR34 (from GWRC Open Data Group)

Shared by PalmerG_GWRC on February 20, 2017. updated 6 months ago.
This dataset is one of several segments of a regional high detailed stream flowpath dataset. The data was separated using the TOPO 50 map series extents.The stream network was originally created for the purpose of high detailed work along rivers and streams in the Wellington region. It was started as a pilot study for the Mangatarere subcatchment of the Waiohine River for the Environmental Sciences department who was attempting to measure riparian vegetation. The data was sourced from a modelled stream network created using the 2013 LiDAR digital elevation model. Once the Mangatarere was complete the process was expanded to cover the entire region on an as needed basis for each whaitua. This dataset is one of several that shows the finished stream datasets for the Wairarapa region.The base stream network was created using a mixture of tools found in ArcGIS Spatial Analyst under Hydrology along with processes located in the Arc Hydro downloadable add-on for ArcGIS. The initial workflow for the data was based on the information derived from the help files provided at the Esri ArcGIS 10.1 online help files. The updated process uses the core Spatial Analyst tools to generate the streamlines while digital dams are corrected using the DEM Reconditioning tool provided by the Arc Hydro toolset. The whaitua were too large for processing separated into smaller units according to the subcatchments within it. In select cases like the Taueru subcatchment of the Ruamahanga these subcatchments need to be further defined to allow processing. The catchment boundaries available are not as precise as the LiDAR information which causes overland flows that are on edges of the catchments to become disjointed from each other and required manual correction.Attributes were added to the stream network using the River Environment Classification (REC) stream network from NIWA. The Spatial Join tool in Arcmap was used to add the Reach ID to each segment of the generated flow path. This ID was used to join a table which had been created by intersecting stream names (generated from a point feature class available from LINZ) with the REC subcatchment dataset. <a href="https://www.niwa.co.nz/freshwater-and-estuaries/management-tools/river-environment-classification-0" target="_blank">Both of the REC datasets are available from NIWA's website.</a>
294788 locations

17 attributes

GWRC Detailed Wairarapa Streams - Sheet BR33 (from GWRC Open Data Group)

Shared by PalmerG_GWRC on February 20, 2017. updated 6 months ago.
This dataset is one of several segments of a regional high detailed stream flowpath dataset. The data was separated using the TOPO 50 map series extents.The stream network was originally created for the purpose of high detailed work along rivers and streams in the Wellington region. It was started as a pilot study for the Mangatarere subcatchment of the Waiohine River for the Environmental Sciences department who was attempting to measure riparian vegetation. The data was sourced from a modelled stream network created using the 2013 LiDAR digital elevation model. Once the Mangatarere was complete the process was expanded to cover the entire region on an as needed basis for each whaitua. This dataset is one of several that shows the finished stream datasets for the Wairarapa region.The base stream network was created using a mixture of tools found in ArcGIS Spatial Analyst under Hydrology along with processes located in the Arc Hydro downloadable add-on for ArcGIS. The initial workflow for the data was based on the information derived from the help files provided at the Esri ArcGIS 10.1 online help files. The updated process uses the core Spatial Analyst tools to generate the streamlines while digital dams are corrected using the DEM Reconditioning tool provided by the Arc Hydro toolset. The whaitua were too large for processing separated into smaller units according to the subcatchments within it. In select cases like the Taueru subcatchment of the Ruamahanga these subcatchments need to be further defined to allow processing. The catchment boundaries available are not as precise as the LiDAR information which causes overland flows that are on edges of the catchments to become disjointed from each other and required manual correction.Attributes were added to the stream network using the River Environment Classification (REC) stream network from NIWA. The Spatial Join tool in Arcmap was used to add the Reach ID to each segment of the generated flow path. This ID was used to join a table which had been created by intersecting stream names (generated from a point feature class available from LINZ) with the REC subcatchment dataset. <a href="https://www.niwa.co.nz/freshwater-and-estuaries/management-tools/river-environment-classification-0" target="_blank">Both of the REC datasets are available from NIWA's website.</a>
10852 locations

17 attributes

GWRC Detailed Wairarapa Streams - Sheet BQ36 (from GWRC Open Data Group)

Shared by PalmerG_GWRC on February 20, 2017. updated 6 months ago.
This dataset is one of several segments of a regional high detailed stream flowpath dataset. The data was separated using the TOPO 50 map series extents.The stream network was originally created for the purpose of high detailed work along rivers and streams in the Wellington region. It was started as a pilot study for the Mangatarere subcatchment of the Waiohine River for the Environmental Sciences department who was attempting to measure riparian vegetation. The data was sourced from a modelled stream network created using the 2013 LiDAR digital elevation model. Once the Mangatarere was complete the process was expanded to cover the entire region on an as needed basis for each whaitua. This dataset is one of several that shows the finished stream datasets for the Wairarapa region.The base stream network was created using a mixture of tools found in ArcGIS Spatial Analyst under Hydrology along with processes located in the Arc Hydro downloadable add-on for ArcGIS. The initial workflow for the data was based on the information derived from the help files provided at the Esri ArcGIS 10.1 online help files. The updated process uses the core Spatial Analyst tools to generate the streamlines while digital dams are corrected using the DEM Reconditioning tool provided by the Arc Hydro toolset. The whaitua were too large for processing separated into smaller units according to the subcatchments within it. In select cases like the Taueru subcatchment of the Ruamahanga these subcatchments need to be further defined to allow processing. The catchment boundaries available are not as precise as the LiDAR information which causes overland flows that are on edges of the catchments to become disjointed from each other and required manual correction.Attributes were added to the stream network using the River Environment Classification (REC) stream network from NIWA. The Spatial Join tool in Arcmap was used to add the Reach ID to each segment of the generated flow path. This ID was used to join a table which had been created by intersecting stream names (generated from a point feature class available from LINZ) with the REC subcatchment dataset. <a href="https://www.niwa.co.nz/freshwater-and-estuaries/management-tools/river-environment-classification-0" target="_blank">Both of the REC datasets are available from NIWA's website.</a>
512137 locations

18 attributes

GWRC Detailed Wairarapa Streams - Sheet BQ35 (from GWRC Open Data Group)

Shared by PalmerG_GWRC on February 20, 2017. updated 6 months ago.
This dataset is one of several segments of a regional high detailed stream flowpath dataset. The data was separated using the TOPO 50 map series extents.The stream network was originally created for the purpose of high detailed work along rivers and streams in the Wellington region. It was started as a pilot study for the Mangatarere subcatchment of the Waiohine River for the Environmental Sciences department who was attempting to measure riparian vegetation. The data was sourced from a modelled stream network created using the 2013 LiDAR digital elevation model. Once the Mangatarere was complete the process was expanded to cover the entire region on an as needed basis for each whaitua. This dataset is one of several that shows the finished stream datasets for the Wairarapa region.The base stream network was created using a mixture of tools found in ArcGIS Spatial Analyst under Hydrology along with processes located in the Arc Hydro downloadable add-on for ArcGIS. The initial workflow for the data was based on the information derived from the help files provided at the Esri ArcGIS 10.1 online help files. The updated process uses the core Spatial Analyst tools to generate the streamlines while digital dams are corrected using the DEM Reconditioning tool provided by the Arc Hydro toolset. The whaitua were too large for processing separated into smaller units according to the subcatchments within it. In select cases like the Taueru subcatchment of the Ruamahanga these subcatchments need to be further defined to allow processing. The catchment boundaries available are not as precise as the LiDAR information which causes overland flows that are on edges of the catchments to become disjointed from each other and required manual correction.Attributes were added to the stream network using the River Environment Classification (REC) stream network from NIWA. The Spatial Join tool in Arcmap was used to add the Reach ID to each segment of the generated flow path. This ID was used to join a table which had been created by intersecting stream names (generated from a point feature class available from LINZ) with the REC subcatchment dataset. <a href="https://www.niwa.co.nz/freshwater-and-estuaries/management-tools/river-environment-classification-0" target="_blank">Both of the REC datasets are available from NIWA's website.</a>
646938 locations

17 attributes

GWRC Detailed Wairarapa Streams - Sheet BQ34 (from GWRC Open Data Group)

Shared by PalmerG_GWRC on February 20, 2017. updated 6 months ago.
This dataset is one of several segments of a regional high detailed stream flowpath dataset. The data was separated using the TOPO 50 map series extents.The stream network was originally created for the purpose of high detailed work along rivers and streams in the Wellington region. It was started as a pilot study for the Mangatarere subcatchment of the Waiohine River for the Environmental Sciences department who was attempting to measure riparian vegetation. The data was sourced from a modelled stream network created using the 2013 LiDAR digital elevation model. Once the Mangatarere was complete the process was expanded to cover the entire region on an as needed basis for each whaitua. This dataset is one of several that shows the finished stream datasets for the Wairarapa region.The base stream network was created using a mixture of tools found in ArcGIS Spatial Analyst under Hydrology along with processes located in the Arc Hydro downloadable add-on for ArcGIS. The initial workflow for the data was based on the information derived from the help files provided at the Esri ArcGIS 10.1 online help files. The updated process uses the core Spatial Analyst tools to generate the streamlines while digital dams are corrected using the DEM Reconditioning tool provided by the Arc Hydro toolset. The whaitua were too large for processing separated into smaller units according to the subcatchments within it. In select cases like the Taueru subcatchment of the Ruamahanga these subcatchments need to be further defined to allow processing. The catchment boundaries available are not as precise as the LiDAR information which causes overland flows that are on edges of the catchments to become disjointed from each other and required manual correction.Attributes were added to the stream network using the River Environment Classification (REC) stream network from NIWA. The Spatial Join tool in Arcmap was used to add the Reach ID to each segment of the generated flow path. This ID was used to join a table which had been created by intersecting stream names (generated from a point feature class available from LINZ) with the REC subcatchment dataset. <a href="https://www.niwa.co.nz/freshwater-and-estuaries/management-tools/river-environment-classification-0" target="_blank">Both of the REC datasets are available from NIWA's website.</a>
237460 locations

17 attributes

GWRC Detailed Wairarapa Streams - Sheet BQ33 (from GWRC Open Data Group)

Shared by PalmerG_GWRC on February 20, 2017. updated 6 months ago.
This dataset is one of several segments of a regional high detailed stream flowpath dataset. The data was separated using the TOPO 50 map series extents.The stream network was originally created for the purpose of high detailed work along rivers and streams in the Wellington region. It was started as a pilot study for the Mangatarere subcatchment of the Waiohine River for the Environmental Sciences department who was attempting to measure riparian vegetation. The data was sourced from a modelled stream network created using the 2013 LiDAR digital elevation model. Once the Mangatarere was complete the process was expanded to cover the entire region on an as needed basis for each whaitua. This dataset is one of several that shows the finished stream datasets for the Wairarapa region.The base stream network was created using a mixture of tools found in ArcGIS Spatial Analyst under Hydrology along with processes located in the Arc Hydro downloadable add-on for ArcGIS. The initial workflow for the data was based on the information derived from the help files provided at the Esri ArcGIS 10.1 online help files. The updated process uses the core Spatial Analyst tools to generate the streamlines while digital dams are corrected using the DEM Reconditioning tool provided by the Arc Hydro toolset. The whaitua were too large for processing separated into smaller units according to the subcatchments within it. In select cases like the Taueru subcatchment of the Ruamahanga these subcatchments need to be further defined to allow processing. The catchment boundaries available are not as precise as the LiDAR information which causes overland flows that are on edges of the catchments to become disjointed from each other and required manual correction.Attributes were added to the stream network using the River Environment Classification (REC) stream network from NIWA. The Spatial Join tool in Arcmap was used to add the Reach ID to each segment of the generated flow path. This ID was used to join a table which had been created by intersecting stream names (generated from a point feature class available from LINZ) with the REC subcatchment dataset. <a href="https://www.niwa.co.nz/freshwater-and-estuaries/management-tools/river-environment-classification-0" target="_blank">Both of the REC datasets are available from NIWA's website.</a>
44403 locations

14 attributes

GWRC Detailed Wairarapa Streams - Sheet BQ32 (from GWRC Open Data Group)

Shared by PalmerG_GWRC on February 20, 2017. updated 6 months ago.
This dataset is one of several segments of a regional high detailed stream flowpath dataset. The data was separated using the TOPO 50 map series extents.The stream network was originally created for the purpose of high detailed work along rivers and streams in the Wellington region. It was started as a pilot study for the Mangatarere subcatchment of the Waiohine River for the Environmental Sciences department who was attempting to measure riparian vegetation. The data was sourced from a modelled stream network created using the 2013 LiDAR digital elevation model. Once the Mangatarere was complete the process was expanded to cover the entire region on an as needed basis for each whaitua. This dataset is one of several that shows the finished stream datasets for the Wairarapa region.The base stream network was created using a mixture of tools found in ArcGIS Spatial Analyst under Hydrology along with processes located in the Arc Hydro downloadable add-on for ArcGIS. The initial workflow for the data was based on the information derived from the help files provided at the Esri ArcGIS 10.1 online help files. The updated process uses the core Spatial Analyst tools to generate the streamlines while digital dams are corrected using the DEM Reconditioning tool provided by the Arc Hydro toolset. The whaitua were too large for processing separated into smaller units according to the subcatchments within it. In select cases like the Taueru subcatchment of the Ruamahanga these subcatchments need to be further defined to allow processing. The catchment boundaries available are not as precise as the LiDAR information which causes overland flows that are on edges of the catchments to become disjointed from each other and required manual correction.Attributes were added to the stream network using the River Environment Classification (REC) stream network from NIWA. The Spatial Join tool in Arcmap was used to add the Reach ID to each segment of the generated flow path. This ID was used to join a table which had been created by intersecting stream names (generated from a point feature class available from LINZ) with the REC subcatchment dataset. <a href="https://www.niwa.co.nz/freshwater-and-estuaries/management-tools/river-environment-classification-0" target="_blank">Both of the REC datasets are available from NIWA's website.</a>