Rarotonga 1 arc-second Coastal Digital Elevation Model
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title: Rarotonga 1 arc-second Coastal Digital Elevation Model
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keyword: Earth Science > Oceans > Bathymetry/Seafloor Topography > Seafloor Topography
keyword: Earth Science > Oceans > Bathymetry/Seafloor Topography > Bathymetry
keyword: Earth Science > Oceans > Bathymetry/Seafloor Topography > Water Depth
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keyword: DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce
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useLimitation: Not to be used for navigation. Although these data are of high quality and useful for planning and modeling purposes, they are not suitable for navigation. For navigation, please refer to the NOS nautical chart series.
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useLimitation: Produced by the NOAA National Centers for Environmental Information. Not subject to copyright protection within the United States.
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otherConstraints: Distribution liability: NOAA and NCEI make no warranty, expressed or implied, regarding these data, nor does the fact of distribution constitute such a warranty. NOAA and NCEI cannot assume liability for any damages caused by any errors or omissions in these data. If appropriate, NCEI can only certify that the data it distributes are an authentic copy of the records that were accepted for inclusion in the NCEI archives.
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title: Digital Elevation Model of Rarotonga: Procedures, Data Sources, and Analysis
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title: Digital Elevation Model Global Mosaic ArcGIS Image Service
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description: Shaded relief visualization of a global seamless bathymetry/topography mosaic of digital elevation models at NOAA/NCEI.
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abstract: The DEM Global Mosaic is an image service providing a global, seamless bathymetry/topography mosaic that includes NCEI's ETOPO 2022, NCEI's Continuously Updated DEM (CUDEM), and other NCEI-stewarded DEMs, along with regional grids such as IBCAO, IBCSO and the Hawaiian Island Multibeam Synthesis (University of Hawaii). This service provides elevation/depth values in meters; for a visualization of the data, please see the related DEM Global Mosaic (Color Shaded Relief) service. There are 5 related image services providing access to Digital Elevation Models: DEM Mosaic (Individual DEMs), DEM Global Mosaic (Elevation Values), DEM Global Mosaic (Color Shaded Relief), CUDEM Mosaic (Elevation Values), and CUDEM Mosaic (Color Shaded Relief). NCEI builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. They can be used for modeling of coastal processes (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness. This service is a general-purpose global, seamless bathymetry/topography mosaic. It combines DEMs from a variety of near sea-level vertical datums, such as mean high water (MHW), mean sea level (MSL), and North American Vertical Datum of 1988 (NAVD88). No conversion/harmonization of vertical datums was performed. Because the mosaic contains 'overviews' for performance, individual DEMs cannot be separated from the others. Individual DEMs, or smaller subsets, are available in the companion DEM Mosaic (Individual DEMs) image service. By default, the DEMs are drawn in order of cell size, with higher-resolution grids displayed on top of lower-resolution grids. If overlapping DEMs have the same resolution, the newer one is shown. Please see NCEI's corresponding DEM Footprints feature service for polygon footprints and more information about the individual DEMs used to create this composite view.
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description: The information provided on this page seeks to define how the GCMD Keywords are structured, used and accessed. It also provides information on how users can participate in the further development of the keywords.
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useLimitation: These data not to be used for navigation. Although these data are of high quality and useful for planning and modeling purposes, they are not suitable for navigation. For official navigation products, please refer to the U.S. nautical charts available from the NOAA Office of Coast Survey: http://www.nauticalcharts.noaa.gov.
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description: REST endpoint for DEM Global Mosaic (Elevation Values) ArcGIS Image Service
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name: DEM Global Mosaic (Color Shaded Relief) ArcGIS Image Service
description: This service provides a color shaded relief visualization of the data. The elevations/depths are displayed using this color ramp: https://gis.ngdc.noaa.gov/viewers/images/dem_color_scale.png.
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name: DEM Global Mosaic (Color Shaded Relief) WMS
description: Capabilities document for Open Geospatial Consortium Web Map Service for DEM Global Mosaic (Color Shaded Relief)
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abstract: A map service showing the location and coverage of land and seafloor digital elevation models (DEMs) available from NOAA's National Centers for Environmental Information (NCEI). NCEI builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. They can be used for modeling of coastal processes (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness. Layers available in the map service: Layers 1-4: DEMs by Category (includes various DEMs, both hosted at NCEI, and elsewhere on the web); Layers 6-11: NCEI DEM Projects (DEMs hosted at NCEI, color-coded by project); Layer 12: All NCEI Bathymetry DEMs (All bathymetry or bathy-topo DEMs hosted at NCEI).
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couplingType: (SV_CouplingType) tight
containsOperations: (SV_OperationMetadata)
operationName: ArcGIS Server REST endpoint for feature service
DCP: (unknown)
connectPoint: (CI_OnlineResource)
linkage: https://services2.arcgis.com/C8EMgrsFcRFL6LrL/arcgis/rest/services/ncei_dem_extents/FeatureServer
protocol: HTTPS
applicationProfile: ESRI Feature Service REST Specification
name: NCEI Digital Elevation Model (DEM) Extents ArcGIS Feature Service
description: REST endpoint for NCEI Digital Elevation Model (DEM) Extents ArcGIS Feature Service
function: (CI_OnLineFunctionCode) search
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distributionInfo: (MD_Distribution)
distributionFormat: (MD_Format)
name: netCDF
version: 4 Classic
distributor: (MD_Distributor)
distributorContact: (CI_ResponsibleParty)
organisationName: NOAA National Centers for Environmental Information
positionName: DEM Information
contactInfo: (CI_Contact)
address: (CI_Address)
electronicMailAddress: dem.info@noaa.gov
role: (CI_RoleCode) pointOfContact
transferOptions: (MD_DigitalTransferOptions)
onLine: (CI_OnlineResource)
linkage: https://www.ngdc.noaa.gov/thredds/dodsC/regional/rarotonga_1_isl_2016.nc.html
protocol: OPeNDAP:OPeNDAP
name: OPeNDAP Dataset Access Form
description: OPeNDAP Dataset Access Form
function: (CI_OnLineFunctionCode) download
transferOptions: (MD_DigitalTransferOptions)
onLine: (CI_OnlineResource)
linkage: https://www.ngdc.noaa.gov/thredds/fileServer/regional/rarotonga_1_isl_2016.nc
protocol: HTTPS
name: Download NetCDF File
description: Download NetCDF File
function: (CI_OnLineFunctionCode) download
transferOptions: (MD_DigitalTransferOptions)
onLine: (CI_OnlineResource)
linkage: https://www.ngdc.noaa.gov/thredds/wcs/regional/rarotonga_1_isl_2016.nc?service=WCS&version=1.0.0&request=GetCapabilities
protocol: OGC:WCS
name: Web Coverage Service GetCapabilities
description: Web Coverage Service GetCapabilities
function: (CI_OnLineFunctionCode) information
transferOptions: (MD_DigitalTransferOptions)
onLine: (CI_OnlineResource)
linkage: https://www.ngdc.noaa.gov/thredds/wms/regional/rarotonga_1_isl_2016.nc?service=WMS&version=1.3.0&request=GetCapabilities
protocol: OGC:WMS
name: Web Map Service GetCapabilities
description: Web Map Service GetCapabilities
function: (CI_OnLineFunctionCode) information
transferOptions: (MD_DigitalTransferOptions)
onLine: (CI_OnlineResource)
linkage: https://www.ngdc.noaa.gov/thredds/ncss/regional/rarotonga_1_isl_2016.nc/dataset.html
protocol: HTTPS
name: Download a subset of the NetCDF
description: Download a subset of the NetCDF
function: (CI_OnLineFunctionCode) download
transferOptions: (MD_DigitalTransferOptions)
onLine: (CI_OnlineResource)
linkage: https://www.ngdc.noaa.gov/thredds/ncml/regional/rarotonga_1_isl_2016.nc?catalog=https%3A%2F%2Fwww.ngdc.noaa.gov%2Fthredds%2Fcatalog%2Fregional%2Fcatalog.html&dataset=regionalDatasetScan%2Frarotonga_1_isl_2016.nc
protocol: HTTPS
name: NetCDF Markup Language file
description: NetCDF Markup Language file
function: (CI_OnLineFunctionCode) information
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dataQualityInfo: (DQ_DataQuality)
scope: (DQ_Scope)
level: (MD_ScopeCode) repository
levelDescription: (MD_ScopeDescription)
other: NOAA National Centers for Environmental Information
lineage: (LI_Lineage)
processStep: (LE_ProcessStep)
description: NOAA created the National Centers for Environmental Information (NCEI) by merging NOAA's National Climatic Data Center (NCDC), National Geophysical Data Center (NGDC), and National Oceanographic Data Center (NODC), including the National Coastal Data Development Center (NCDDC), per the Consolidated and Further Continuing Appropriations Act, 2015, Public Law 113-235. NCEI launched publicly on April 22, 2015.
dateTime:
DateTime: 2015-04-22T00:00:00
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dataQualityInfo: (DQ_DataQuality)
scope: (DQ_Scope)
level: (MD_ScopeCode) dataset
report: (DQ_AbsoluteExternalPositionalAccuracy)
nameOfMeasure: Horizontal Positional Accuracy Report
evaluationMethodDescription: The horizontal accuracy of bathymetric and topographic features in the DEM is dependent upon DEM cell size and the accuracy of the input datasets used to determine corresponding cell values. Topography: 30 meters. Positional accuracy of input topographic datasets limits accuracy of corresponding cell values in DEM. LINZ topography: 1:25,000; total station surveyed topography: 0.1 meter; RTK GPS surveyed topography: 0.1 meter; digitized topography: n/a; GPS surveyed topography: assumed less than 1 meter. Bathymetry: 30 meters. DEM cell-value relative-contribution factors: Lidar: 100; Topographic surveys: 1000 to 100. Bathymetry: less than 1 meter to a few kilometers. Positional accuracy of input bathymetric datasets limits accuracy of corresponding cell values in DEM. RTK GPS surveyed bathymetry: 0.1 meter; multibeam data: 1 meter; single beam bathymetry: 0.01 meter; trackline bathymetry: 25 meters to greater than 100 meters; digitized charts: less than 1 meter; digitized bathymetry: about 1 meter; GEBCO bathymetric DEM: 30 arc-seconds. DEM cell-value relative-contribution factors: Multibeam: 1000; single beam: 1000; trackline: 100; bathymetric DEM: 50; Bathymetric pre-surface: 100.
result: (missing)
report: (DQ_AbsoluteExternalPositionalAccuracy)
nameOfMeasure: Vertical Positional Accuracy Report
evaluationMethodDescription: The vertical accuracy of bathymetric and topographic features in the DEM is dependent upon the accuracy of the input datasets used to determine corresponding cell values. Topography: 10 meters. Vertical accuracy of input topographic datasets limits accuracy of corresponding cells in DEM. DEM cell-value relative-contribution factors: Topographic surveys: 1000 to 100. Bathymetry: less than 1 meter to 5% of water depth. Vertical accuracy of input bathymetric datasets limits accuracy of corresponding cells in DEM. RTK GPS surveyed bathymetry: 0.1 meter; multibeam data: about 1 meter to 10 meters; single beam bathymetry: 0.1 meter +/-0.1% of depth; trackline bathymetry: 10 meters +/-0.1% of depth; digitized charts: 25 to 100 meters; digitized bathymetry: about 0.1 meter; GEBCO bathymetric DEM: varies due to sparseness of source data, but generally 1 meter to 5% of water depth. DEM cell-value relative-contribution factors: Multibeam: 1000; single beam: 1000; trackline: 100; bathymetric DEM: 50; Bathymetric pre-surface: 100. Gridding interpolation to determine cell values between sparse soundings in deep water degrades the vertical accuracy of corresponding elevations.
result: (missing)
report: (DQ_CompletenessCommission)
evaluationMethodDescription: NCEI made every effort to obtain all available digital topographic and bathymetric datasets in the region for use in building the DEM.
result: (unknown)
report: (DQ_ConceptualConsistency)
measureDescription: Datasets were visually compared internally and externally (with other overlapping datasets and satellite images and maps) and statistically in ESRI ArcGIS for identification of anomalous elevations or data inconsistencies. Where elevation inconsistencies occurred, the most recent and/or highest resolution data set was selected for use in that region. Clipping of lower resolution datasets was performed in proximity to higher resolution data or newer data. Elevations in the older and/or lower-resolution datasets were superseded prior to building the DEM.
result: (unknown)
lineage: (LI_Lineage)
processStep: (LE_ProcessStep)
description: All datasets obtained by NCEI were converted to common horizontal and vertical datums of WGS 84 geographic and MSL, respectively, using Proj.4's 'cs2cs' projection transformation tool. They were also converted to common file format for visualization and inspection.
dateTime:
DateTime: 2016-11-05T00:00:00
processor: (CI_ResponsibleParty)
individualName: Matthew R. Love
organisationName: NOAA National Centers for Environmental Information
role: (CI_RoleCode) pointOfContact
processStep: (LE_ProcessStep)
description: Datasets were visually inspected with ArcGIS for identification and editing of data anomalies. Datasets were then compared with overlapping datasets to ensure data consistency.
dateTime:
DateTime: 2016-11-06T00:00:00
processStep: (LE_ProcessStep)
description: xyz files of the bathymetric data were surfaced using GMT's 'surface' tool onto a 1 arc-second grid that interpolated to fill empty cells. Points extracted every 5 meters along the coastline were also included to ensure that the bathymetric grid reached zero at the coast. The resulting Arc ASCII grid was imported into ArcGIS and clipped to the coastline to remove values over land.
dateTime:
DateTime: 2016-11-07T00:00:00
processStep: (LE_ProcessStep)
description: xyz files for each input dataset were gridded using MB-System's 'mbgrid' tool, which utilizes a high-tension spline interpolation method to fill grid cells with no input elevation values. Preferential weighting was given to more recent, higher-accuracy datasets.
dateTime:
DateTime: 2016-11-08T00:00:00
processStep: (LE_ProcessStep)
description: A bathymetric contour of -0.3 meter MSL was constructed at the edge of the fringing reef and a topographic contour of 2 meters MSL was constructed at the landward edge of the beach, referenced to aerial photographs, using Global Mapper. xyz files for each input dataset were gridded using MB-System's 'mbgrid' tool. Relative contribution factors of 50 were applied during gridding.
dateTime:
DateTime: 2016-11-09T00:00:00
processStep: (LE_ProcessStep)
description: The DEM was quantitatively evaluated by comparing with source datasets.
dateTime:
DateTime: 2016-11-10T00:00:00
source: (LI_Source)
description: Swath Sonar Survey Data
sourceCitation: (CI_Citation)
title: NCEI Single Beam Bathymetry Database
date: (CI_Date)
date: 2016-10-01
dateType: (CI_DateTypeCode) publication
citedResponsibleParty: (CI_ResponsibleParty)
organisationName: NOAA National Centers for Environmental Information
role: (CI_RoleCode) publisher
citedResponsibleParty: (CI_ResponsibleParty)
organisationName: (inapplicable)
contactInfo: (CI_Contact)
onlineResource: (CI_OnlineResource)
linkage: https://www.ngdc.noaa.gov/mgg
name: NCEI Single Beam Bathymetry Database
description: Trackline Sonar Survey Data
function: (CI_OnLineFunctionCode) download
role: (inapplicable)
sourceExtent: (EX_Extent)
temporalElement: (EX_TemporalExtent)
extent:
TimePeriod:
beginPosition: 1964-01-01
endPosition: 2014-09-26
source: (LI_Source)
description: Single Beam Bathymetric Data
sourceCitation: (CI_Citation)
title: Single Beam Bathymetric Survey Data from KBSLOF
date: (CI_Date)
date: 2013-04-27
dateType: (CI_DateTypeCode) publication
citedResponsibleParty: (CI_ResponsibleParty)
organisationName: Khaled bin Sultan Living Oceans Foundation
role: (CI_RoleCode) originator
citedResponsibleParty: (CI_ResponsibleParty)
organisationName: (inapplicable)
contactInfo: (CI_Contact)
onlineResource: (CI_OnlineResource)
linkage: https://www.livingoceansfoundation.org
name: The Khaled bin Sultan Living Oceans Foundation
description: Non-profit environmental science organization and ocean research foundation established to help preserve, protect and restore the world’s oceans and aquatic resources through research, education, and outreach.
function: (CI_OnLineFunctionCode) download
role: (inapplicable)
sourceExtent: (EX_Extent)
temporalElement: (EX_TemporalExtent)
extent:
TimePeriod:
beginPosition: 2013-04-26
endPosition: 2013-04-27
source: (LI_Source)
description: Digitized Nautical Chart Data
sourceCitation: (CI_Citation)
title: National Geospatial-Intelligence Agency (NGA) Digitized Nautical Charts (DNC®) NZ 9558 for the Approach to Rarotonga, Cook Islands, and NZ 9558 and 9558P for Avatiu and Avarua Harbors, Rarotonga, Cook Islands
date: (CI_Date)
date: 2015-11-14
dateType: (CI_DateTypeCode) publication
citedResponsibleParty: (CI_ResponsibleParty)
organisationName: United State Intelligence Community (IC), National Geospatial-Intelligence Agency (NGA)
role: (CI_RoleCode) originator
citedResponsibleParty: (CI_ResponsibleParty)
organisationName: (inapplicable)
contactInfo: (CI_Contact)
onlineResource: (CI_OnlineResource)
linkage: https://www.ngdc.noaa.gov/metadata/published/NOAA/NESDIS/NGDC/MGG/DEM/iso/xml/4956.xml
name: NGA DNC Portal
description: The Digital Nautical Chart is produced by the National Geospatial-Intelligence Agency (NGA) and is an unclassified, vector-based digital database containing maritime significant features essential for safe marine navigation. DNC® consists of 29 DNC® Regions and is available on DVD-ROM and also available via the NGA Gateway: Digital patch updates and textual corrections to DNC® are also available via the NGA Gateway. Initial data collection of the database is from a portfolio of approximately 5,000 nautical charts that will ultimately provide global marine navigation between 84 North latitude and 81 South latitude and supports a variety of Geographic Information System applications.
function: (CI_OnLineFunctionCode) download
role: (inapplicable)
sourceExtent: (EX_Extent)
temporalElement: (EX_TemporalExtent)
extent:
TimePeriod:
beginPosition: 2015-11-14
endPosition: 2015-11-14
source: (LI_Source)
description: Nearshore Multibeam Bathymetric Data
sourceCitation: (CI_Citation)
title: Cook Islands, Rarotonga, Nearshore Bathymetry Survey Dataset by Pacific Islands Applied Geoscience Commission (SOPAC)
date: (CI_Date)
date: 2004-12-31
dateType: (CI_DateTypeCode) publication
citedResponsibleParty: (CI_ResponsibleParty)
organisationName: Pacific Islands Applied Geoscience Commission (SOPAC)
role: (CI_RoleCode) originator
citedResponsibleParty: (CI_ResponsibleParty)
organisationName: (inapplicable)
contactInfo: (CI_Contact)
onlineResource: (CI_OnlineResource)
linkage: http://geonetwork.spc.int/geonetwork/srv/en/main.home
name: SOPAC Geonetwork Portal
description: SOPAC GeoNetwork allows the sharing of geographically referenced thematic information between different organizations. SOPAC Geonetwork's purpose is: To improve access to and integrated use of SOPAC scientific information; To support decision making in the Pacific region; To promote multidisciplinary approaches to sustainable development; To enhance understanding of the benefits of geographic information.
function: (CI_OnLineFunctionCode) download
role: (inapplicable)
sourceExtent: (EX_Extent)
temporalElement: (EX_TemporalExtent)
extent:
TimePeriod:
beginPosition: 2004-12-31
endPosition: 2004-12-31
source: (LI_Source)
description: Single Beam Bathymetric Data
sourceCitation: (CI_Citation)
title: Cook Islands, Rarotonga, Single Beam Bathymetry Survey Datasets of Avatiu and Avarua Harbors by Pacific Islands Applied Geoscience Commission (SOPAC)
date: (CI_Date)
date: 2006-06-08
dateType: (CI_DateTypeCode) publication
citedResponsibleParty: (CI_ResponsibleParty)
organisationName: Pacific Islands Applied Geoscience Commission (SOPAC)
role: (CI_RoleCode) originator
citedResponsibleParty: (CI_ResponsibleParty)
organisationName: (inapplicable)
contactInfo: (CI_Contact)
onlineResource: (CI_OnlineResource)
linkage: http://geonetwork.spc.int/geonetwork/srv/en/main.home
name: SOPAC Geonetwork Portal
description: SOPAC GeoNetwork allows the sharing of geographically referenced thematic information between different organizations. SOPAC Geonetwork's purpose is: To improve access to and integrated use of SOPAC scientific information; To support decision making in the Pacific region; To promote multidisciplinary approaches to sustainable development; To enhance understanding of the benefits of geographic information.
function: (CI_OnLineFunctionCode) download
role: (inapplicable)
sourceExtent: (EX_Extent)
temporalElement: (EX_TemporalExtent)
extent:
TimePeriod:
beginPosition: 2006-03-13
endPosition: 2006-03-14
source: (LI_Source)
description: Bathymetric DEM
sourceCitation: (CI_Citation)
title: General Bathymetric Chart of the Oceans (GEBCO) Gridded Bathymetric Data Set GEBCO_2014_Grid
date: (CI_Date)
date: 2015-03-25
dateType: (CI_DateTypeCode) publication
citedResponsibleParty: (CI_ResponsibleParty)
organisationName: British Oceanographic Data Centre (BODC)
role: (CI_RoleCode) originator
citedResponsibleParty: (CI_ResponsibleParty)
organisationName: (inapplicable)
contactInfo: (CI_Contact)
onlineResource: (CI_OnlineResource)
linkage: http://www.bodc.ac.uk/data/online_delivery/gebco/
name: GEBCO Portal
description: The GEBCO project consists of an international group of experts in seafloor mapping who work on the development of a range of bathymetric data sets and products. GEBCO's aim is to provide the most authoritative, publicly-available bathymetry for the world's oceans. It operates under the joint auspices of the Intergovernmental Oceanographic Commission (IOC) of UNESCO and the International Hydrographic Organization (IHO). GEBCO's bathymetric data sets comprise of global gridded bathymetric data sets and a global set of digital bathymetric contours. The data sets are maintained and updated on behalf of GEBCO at BODC.
function: (CI_OnLineFunctionCode) download
role: (inapplicable)
sourceExtent: (EX_Extent)
temporalElement: (EX_TemporalExtent)
extent:
TimePeriod:
beginPosition: 2014-12-02
endPosition: 2015-03-18
source: (LI_Source)
description: Shoreline Data
sourceCitation: (CI_Citation)
title: LINZ Data Service Cook Islands Island Polygons 1:25000 Zone 4
date: (CI_Date)
date: 2014-09-26
dateType: (CI_DateTypeCode) publication
citedResponsibleParty: (CI_ResponsibleParty)
organisationName: Land Information New Zealand (LINZ) Data Service
role: (CI_RoleCode) originator
citedResponsibleParty: (CI_ResponsibleParty)
organisationName: (inapplicable)
contactInfo: (CI_Contact)
onlineResource: (CI_OnlineResource)
linkage: http://www.linz.govt.nz/data/linz-data-service
name: LINZ Online Land and Seabed Data Access Service
description: LINZ Data Service provides free online access to New Zealand's most up-to-date land and seabed data. LINZ topographic maps are available for all of New Zealand, its offshore island, some Pacific Islands and the Ross Sea region of Antarctica. Available for use through CC-by Land Information New Zealand.
function: (CI_OnLineFunctionCode) download
role: (inapplicable)
sourceExtent: (EX_Extent)
temporalElement: (EX_TemporalExtent)
extent:
TimePeriod:
beginPosition: 2014-12-02
endPosition: 2014-12-02
source: (LI_Source)
description: Satellite Imagery-derived Topographic Data
sourceCitation: (CI_Citation)
title: LINZ Data Service Cook Islands Topography 1:25000 Zone 4
date: (CI_Date)
date: 2014-09-25
dateType: (CI_DateTypeCode) publication
citedResponsibleParty: (CI_ResponsibleParty)
organisationName: Land Information New Zealand (LINZ) Data Service
role: (CI_RoleCode) originator
citedResponsibleParty: (CI_ResponsibleParty)
organisationName: (inapplicable)
contactInfo: (CI_Contact)
onlineResource: (CI_OnlineResource)
linkage: http://www.linz.govt.nz/data/linz-data-service
name: LINZ Online Land and Seabed Data Access Service
description: LINZ Data Service provides free online access to New Zealand's most up-to-date land and seabed data. LINZ topographic maps are available for all of New Zealand, its offshore island, some Pacific Islands and the Ross Sea region of Antarctica. Available for use through CC-by Land Information New Zealand.
function: (CI_OnLineFunctionCode) download
role: (inapplicable)
sourceExtent: (EX_Extent)
temporalElement: (EX_TemporalExtent)
extent:
TimePeriod:
beginPosition: 2014-12-02
endPosition: 2014-12-02
source: (LI_Source)
description: Source Contribution: RTK GPS Topographic and Bathymetric Survey Data
sourceCitation: (CI_Citation)
title: Real-Time Kinematic (RTK) Global Positioning System (GPS) Topographic and Bathymetric Surveys from UNSW-WRL
date: (CI_Date)
date: 2013-11-01
dateType: (CI_DateTypeCode) publication
citedResponsibleParty: (CI_ResponsibleParty)
organisationName: Water Research Laboratory (WRL), University of New South Wales (UNSW)
role: (CI_RoleCode) originator
citedResponsibleParty: (CI_ResponsibleParty)
organisationName: (inapplicable)
contactInfo: (CI_Contact)
onlineResource: (CI_OnlineResource)
linkage: http://www.wrl.unsw.edu.au/
name: Water Research Laboratory (WRL), University of New South Wales (UNSW)
description: The Water Research Laboratory (WRL) is a leading international research and consulting laboratory. WRL is located at Manly Vale on Sydney’s Northern Beaches on 4 ha of land and is part of the School of Civil and Environmental Engineering at UNSW Australia. WRL can best be described as an expert problem solver in engineering relating to water, the coast, the environment and groundwater. WRL undertakes commercial projects that address complicated water engineering problems relating to groundwater, hydrology, river flow and flood plain management, estuarine and ocean hydraulics, sediment transport, stratified flow, pipe flow, major pump installations, hydraulic structures, water distribution, wave and surge predictions, foreshore protection, breakwater design, sea level rise and climate change adaptation, coastal zone management and environmental studies.
function: (CI_OnLineFunctionCode) download
role: (inapplicable)
sourceExtent: (EX_Extent)
temporalElement: (EX_TemporalExtent)
extent:
TimePeriod:
beginPosition: 2012-09-29
endPosition: 2012-10-05
source: (LI_Source)
description: Digitized Topographic Data
sourceCitation: (CI_Citation)
title: Digitized Topographic file transfer from University of New South Wales, Water Research Laboratory
date: (CI_Date)
date: 2013-11-01
dateType: (CI_DateTypeCode) publication
citedResponsibleParty: (CI_ResponsibleParty)
organisationName: Water Research Laboratory (WRL), University of New South Wales (UNSW)
role: (CI_RoleCode) originator
citedResponsibleParty: (CI_ResponsibleParty)
organisationName: (inapplicable)
contactInfo: (CI_Contact)
onlineResource: (CI_OnlineResource)
linkage: http://www.wrl.unsw.edu.au/
name: UNSW-WRL
description: The Water Research Laboratory (WRL) is a leading international research and consulting laboratory. WRL is located at Manly Vale on Sydney’s Northern Beaches on 4 ha of land and is part of the School of Civil and Environmental Engineering at UNSW Australia. WRL can best be described as an expert problem solver in engineering relating to water, the coast, the environment and groundwater. WRL undertakes commercial projects that address complicated water engineering problems relating to groundwater, hydrology, river flow and flood plain management, estuarine and ocean hydraulics, sediment transport, stratified flow, pipe flow, major pump installations, hydraulic structures, water distribution, wave and surge predictions, foreshore protection, breakwater design, sea level rise and climate change adaptation, coastal zone management and environmental studies.
function: (CI_OnLineFunctionCode) download
role: (inapplicable)
sourceExtent: (EX_Extent)
temporalElement: (EX_TemporalExtent)
extent:
TimePeriod:
beginPosition: 2012-09-29
endPosition: 2012-10-05
source: (LI_Source)
description: Surveyed Topographic Data
sourceCitation: (CI_Citation)
title: Digitized Topography from Eagle Land Survey/UNSW-WRL
date: (CI_Date)
date: 2013-11-01
dateType: (CI_DateTypeCode) publication
citedResponsibleParty: (CI_ResponsibleParty)
organisationName: Water Research Laboratory (WRL), University of New South Wales (UNSW)
role: (CI_RoleCode) originator
citedResponsibleParty: (CI_ResponsibleParty)
organisationName: (inapplicable)
contactInfo: (CI_Contact)
onlineResource: (CI_OnlineResource)
linkage: http://www.wrl.unsw.edu.au/
name: UNSW-WRL
description: The Water Research Laboratory (WRL) is a leading international research and consulting laboratory. WRL is located at Manly Vale on Sydney’s Northern Beaches on 4 ha of land and is part of the School of Civil and Environmental Engineering at UNSW Australia. WRL can best be described as an expert problem solver in engineering relating to water, the coast, the environment and groundwater. WRL undertakes commercial projects that address complicated water engineering problems relating to groundwater, hydrology, river flow and flood plain management, estuarine and ocean hydraulics, sediment transport, stratified flow, pipe flow, major pump installations, hydraulic structures, water distribution, wave and surge predictions, foreshore protection, breakwater design, sea level rise and climate change adaptation, coastal zone management and environmental studies.
function: (CI_OnLineFunctionCode) download
role: (inapplicable)
sourceExtent: (EX_Extent)
temporalElement: (EX_TemporalExtent)
extent:
TimePeriod:
beginPosition: 2012-09-29
endPosition: 2012-10-05
source: (LI_Source)
description: GPS Topographic Survey Data
sourceCitation: (CI_Citation)
title: GPS Topographic Survey of area near swamps near Avatiu, Rarotonga from Cook Islands Government (CIG)
date: (CI_Date)
date: 2004-03-31
dateType: (CI_DateTypeCode) publication
citedResponsibleParty: (CI_ResponsibleParty)
organisationName: Cook Islands Government (CIG)
role: (CI_RoleCode) originator
citedResponsibleParty: (CI_ResponsibleParty)
organisationName: (inapplicable)
contactInfo: (CI_Contact)
onlineResource: (CI_OnlineResource)
linkage: http://geonode.emci.gov.ck/
name: CIG
description: The Cook Islands Geo Portal Project is designed as an information center for disaster risk response and management. We strive to foster collaboration and continual improvement of emergency response working in partnership with the public, government ministries and key stakeholders, to promote best practices before, during and after disasters. The EMCI GeoNode system is as our answer to online mapping and document catalogue to assist emergency response teams make better decisions in the event of a national emergency. Within this catalogue system, you will discover GIS maps and documents with metadata to provide information about the maps and documents. The metadata aspect will assist you in determining the origin, rights to use under license and amongst other information, validity of information being hosted.
function: (CI_OnLineFunctionCode) download
role: (inapplicable)
presentationForm: (CI_PresentationFormCode) modelDigital
sourceExtent: (EX_Extent)
temporalElement: (EX_TemporalExtent)
extent:
TimeInstant:
timePosition: 2012-10-05
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metadataMaintenance: (MD_MaintenanceInformation)
maintenanceAndUpdateFrequency: (MD_MaintenanceFrequencyCode) annually
dateOfNextUpdate: 2018-08-29
contact: (CI_ResponsibleParty)
individualName: Kelly Carignan
organisationName: NOAA National Centers for Environmental Information
contactInfo: (CI_Contact)
address: (CI_Address)
electronicMailAddress: kelly.carignan@noaa.gov
role: (CI_RoleCode) pointOfContact
contact: (CI_ResponsibleParty)
organisationName: NOAA National Centers for Environmental Information
positionName: Metadata Specialist
role: (CI_RoleCode) editor