1891 - 2016 USGS CoNED Topobathy DEM (Compiled 2021): Strait of Juan de Fuca, WA
Data Set (DS) | OCM Partners (OCMP)GUID: gov.noaa.nmfs.inport:65169 | Updated: January 10, 2024 | Published / External
Summary
Short Citation
OCM Partners, 2024: 1891 - 2016 USGS CoNED Topobathy DEM (Compiled 2021): Strait of Juan de Fuca, WA, https://www.fisheries.noaa.gov/inport/item/65169.
Full Citation Examples
To support the modeling of storm-induced flooding, the U.S. Geological Survey (USGS) Coastal National Elevation Database (CoNED) Applications Project has created an integrated 1-meter topobathymetric digital elevation model (TBDEM) for the Strait of Juan de Fuca, which is located at the outlet of the Salish Sea. The international boundary between Canada and the northwestern part of the United States bisects the strait. High-resolution coastal topobathymetric data is required to identify flooding, storms, and sea-level rise inundation hazard zones and other earth science applications, such as the development of sediment transport and storm surge models. The new TBDEM consists of the best available multi-source topographic and bathymetric elevation data for the Strait of Juan de Fuca including neighboring islands, canals, and inlets. The Strait of Juan de Fuca TBDEM integrates 11 different data sources including topographic and bathymetric data, such as lidar point clouds and multi-beam acoustic surveys obtained from USGS, the National Oceanic and Atmospheric Administration, the U.S. Army Corps of Engineers, the Puget Sound Lidar Consortium, and the Washington Department of Natural Resources. The topographic and bathymetric surveys were sorted and prioritized based on survey date, accuracy, spatial distribution, and point density to develop a model based on the best available elevation and bathymetric data. Because bathymetric data are typically referenced to tidal datums, such as Mean High Water or Mean Low Water, all tidally-referenced heights were transformed into orthometric heights based on the GEOID12B datum, which is normally used for mapping elevation on land using the North American Vertical Datum of 1988. The spatial horizontal resolution is 1-meter with the general location ranging from Victoria, British Columbia in the north to Port Angeles, Washington in the south and extending to a depth of 365 meters. The overall temporal range of the input topography and bathymetry is 1891 to 2016. The topography surveys are from 2005-2016. The bathymetry surveys were acquired between 1891 and 2015.
Distribution Information
-
Create custom data files by choosing data area, map projection, file format, etc. A new metadata will be produced to reflect your request using this record as a base.
-
GeoTIFF
Bulk download of data files in the original coordinate system.
None
Users should be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its limitations.
Controlled Theme Keywords
COASTAL ELEVATION, elevation, SEAFLOOR TOPOGRAPHY, TERRAIN ELEVATION
Child Items
No Child Items for this record.
Contact Information
Point of Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202
https://coast.noaa.gov
Metadata Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202
https://coast.noaa.gov
Extents
-124.9724° W,
-123.203° E,
48.5423° N,
48.0401° S
1891-01-01 - 2016-12-31
Item Identification
Title: | 1891 - 2016 USGS CoNED Topobathy DEM (Compiled 2021): Strait of Juan de Fuca, WA |
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Short Name: | coned_juandefuca_m9347_metadata |
Status: | Completed |
Creation Date: | Unknown |
Publication Date: | 2021 |
Abstract: |
To support the modeling of storm-induced flooding, the U.S. Geological Survey (USGS) Coastal National Elevation Database (CoNED) Applications Project has created an integrated 1-meter topobathymetric digital elevation model (TBDEM) for the Strait of Juan de Fuca, which is located at the outlet of the Salish Sea. The international boundary between Canada and the northwestern part of the United States bisects the strait. High-resolution coastal topobathymetric data is required to identify flooding, storms, and sea-level rise inundation hazard zones and other earth science applications, such as the development of sediment transport and storm surge models. The new TBDEM consists of the best available multi-source topographic and bathymetric elevation data for the Strait of Juan de Fuca including neighboring islands, canals, and inlets. The Strait of Juan de Fuca TBDEM integrates 11 different data sources including topographic and bathymetric data, such as lidar point clouds and multi-beam acoustic surveys obtained from USGS, the National Oceanic and Atmospheric Administration, the U.S. Army Corps of Engineers, the Puget Sound Lidar Consortium, and the Washington Department of Natural Resources. The topographic and bathymetric surveys were sorted and prioritized based on survey date, accuracy, spatial distribution, and point density to develop a model based on the best available elevation and bathymetric data. Because bathymetric data are typically referenced to tidal datums, such as Mean High Water or Mean Low Water, all tidally-referenced heights were transformed into orthometric heights based on the GEOID12B datum, which is normally used for mapping elevation on land using the North American Vertical Datum of 1988. The spatial horizontal resolution is 1-meter with the general location ranging from Victoria, British Columbia in the north to Port Angeles, Washington in the south and extending to a depth of 365 meters. The overall temporal range of the input topography and bathymetry is 1891 to 2016. The topography surveys are from 2005-2016. The bathymetry surveys were acquired between 1891 and 2015. |
Purpose: |
As a collaboration between the U.S. Geological Survey (USGS) Coastal and Marine Hazards and Resources Program, the USGS National Geospatial Program, and the National Oceanic and Atmospheric Administration (NOAA) National Centers for Environmental Information, the USGS Coastal National Elevation Database (CoNED) Applications Project integrates disparate light detection and ranging (lidar) and bathymetric data sources into a common three-dimensional (3D) database aligned both vertically and horizontally to a common reference system. The CoNED ProjectâÂÂs topobathymetric digital elevation model (TBDEM) development is focused in select regions around the United States Coast, such as in the Northern Gulf of Mexico, the Hurricane Sandy region in the northeast, the California coast region, the Pacific Northwest, and the North Slope of Alaska. CoNED Project TBDEMs provide a required seamless elevation product for several science application studies, such as shoreline delineation, coastal inundation mapping, sediment-transport, sea-level rise, storm surge models, tsunami impact assessment, and also to analyze the impact of various climate change scenarios on coastal regions. The raster TBDEM product, the Federal Geographic Data Committee metadata, spatially referenced metadata, data management plan, and the spatial metadata data dictionary are contained in the downloadable bundle. Spatially referenced metadata are contained within a geodatabase that contains footprints for each of the input source areas. References: Danielson, J.J., Poppenga, S.K., Brock, J.C., Evans, G.A., Tyler, D.J., Gesch, D.B., Thatcher, C.A., and Barras, J.A. , 2016, Topobathymetric elevation model development using a new methodology-Coastal National Elevation Database: Journal of Coastal Research, SI no. 76, p. 75-89, at http://dx.doi.org/10.2112/SI76-008. Thatcher, C.A., Brock, J.C., Danielson, J.J., Poppenga, S.K., Gesch, D.B., Palaseanu-Lovejoy, M.E., Barras, J.A., Evans, G.A., and Gibbs, A.E., 2016, Creating a Coastal National Elevation Database (CoNED) for science and conservation applications: Journal of Coastal Research, SI no. 76, p. 64-74, at http://dx.doi.org/10.2112/SI76-007. Gesch, Dean B., Oimoen, Michael J., and Evans, Gayla A., 2014, Accuracy assessment of the U.S. Geological Survey National Elevation Dataset, and comparison with other large-area elevation datasets-SRTM and ASTER: U.S. Geological Survey Open-File Report 2014-1008, 10 p., at http://dx.doi.org/10.3133/ofr20141008. Sugarbaker, L.J., Constance, E.W., Heidemann, H.K., Jason, A.L., Lukas, Vicki, Saghy, D.L., and Stoker, J.M., 2014, The 3D Elevation Program initiativeâÂÂA call for action: U.S. Geological Survey Circular 1399, 35 p Carswell, W.J., Jr., 2013, The 3D Elevation ProgramâÂÂSummary for California: U.S. Geological Survey Fact Sheet 2013âÂÂ3056, 2 p., http://pubs.usgs.gov/fs/2013/3056/ |
Supplemental Information: |
The data obtained through ScienceBase at https://www.sciencebase.gov/catalog/item/5d7641bee4b0c4f70d01f564 are considered to be the "best available" data from the USGS. For questions on distribution, please refer to the Distribution Section, Contact Information. For processing, please refer to the Data Quality Section, Processing Step, Contact Information. |
Keywords
Theme Keywords
Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Science Keywords |
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
|
Global Change Master Directory (GCMD) Science Keywords |
EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > SEAFLOOR TOPOGRAPHY
|
Global Change Master Directory (GCMD) Science Keywords |
EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION
|
ISO 19115 Topic Category |
elevation
|
UNCONTROLLED | |
USGS Metadata Identifier | USGS:5d7641bee4b0c4f70d01f564 |
None | 3DEP |
None | Acoustic Sonar |
None | Coastal and Marine Hazards and Resources Program |
None | Coastal Zone |
None | CoNED |
None | Light Detection and Ranging |
None | National Standards for Spatial Digital Accuracy |
None | U.S. Geological Survey |
None | USGS |
Spatial Keywords
Thesaurus | Keyword |
---|---|
Global Change Master Directory (GCMD) Location Keywords |
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA
|
Global Change Master Directory (GCMD) Location Keywords |
VERTICAL LOCATION > LAND SURFACE
|
Global Change Master Directory (GCMD) Location Keywords |
VERTICAL LOCATION > SEA FLOOR
|
UNCONTROLLED | |
Geographic Names Information System | Clallam County, WA |
Geographic Names Information System | Olympic Peninsula |
Geographic Names Information System | Strait of Juan de Fuca |
Geographic Names Information System | Vancouver Island, BC |
U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D.C., National Instit | British Columbia |
U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D.C., National Instit | Washington |
U.S. Department of Commerce, 1995, Countries, dependencies, areas of special sovereignty, and their principal administrative divisions, Federal Information Processing Standard 10-4,): Washington, D.C., National Institute of Standards and Technology | Canada |
U.S. Department of Commerce, 1995, Countries, dependencies, areas of special sovereignty, and their principal administrative divisions, Federal Information Processing Standard 10-4,): Washington, D.C., National Institute of Standards and Technology | U.S. |
U.S. Department of Commerce, 1995, Countries, dependencies, areas of special sovereignty, and their principal administrative divisions, Federal Information Processing Standard 10-4,): Washington, D.C., National Institute of Standards and Technology | United States |
U.S. Department of Commerce, 1995, Countries, dependencies, areas of special sovereignty, and their principal administrative divisions, Federal Information Processing Standard 10-4,): Washington, D.C., National Institute of Standards and Technology | US |
U.S. Department of Commerce, 1995, Countries, dependencies, areas of special sovereignty, and their principal administrative divisions, Federal Information Processing Standard 10-4,): Washington, D.C., National Institute of Standards and Technology | USA |
Instrument Keywords
Thesaurus | Keyword |
---|---|
Global Change Master Directory (GCMD) Instrument Keywords |
LIDAR > Light Detection and Ranging
|
Platform Keywords
Thesaurus | Keyword |
---|---|
Global Change Master Directory (GCMD) Platform Keywords |
Airplane > Airplane
|
Global Change Master Directory (GCMD) Platform Keywords |
DEM > Digital Elevation Model
|
Physical Location
Organization: | Office for Coastal Management |
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City: | Charleston |
State/Province: | SC |
Data Set Information
Data Set Scope Code: | Data Set |
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Data Set Type: | Elevation |
Maintenance Frequency: | As Needed |
Data Presentation Form: | Raster Digital Data Set |
Entity Attribute Detail Citation: |
Tyler, D.J., Danielson, J.J., Grossman, E.E., and Hockenberry, R.J., 2021, Topobathymetric Model of the Strait of Juan de Fuca, 1891 to 2016: U.S. Geological Survey data release, at https://doi.org/10.5066/P9GB3PC8. |
Distribution Liability: |
Although these data have been processed successfully on a computer system at the USGS, no warranty expressed or implied is made by the USGS regarding the use of the data on any other system, nor does the act of distribution constitute any such warranty. Data may have been compiled from various outside sources. Spatial information may not meet National Map Accuracy Standards. This information may be updated without notification. The USGS shall not be liable for any activity involving these data, installation, fitness of the data for a particular purpose, its use, or analyses results. Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners. |
Data Set Credit: | Please refer to the Data Quality Section, Source Citations for original source data information., Tyler, D.J. Danielson, J.J. Grossman, E.E. Hockenberry, R.J. U.S. Geological Survey |
Support Roles
Data Steward
Date Effective From: | 2021 |
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Date Effective To: | |
Contact (Organization): | NOAA Office for Coastal Management (NOAA/OCM) |
Address: |
2234 South Hobson Ave Charleston, SC 29405-2413 |
Email Address: | coastal.info@noaa.gov |
Phone: | (843) 740-1202 |
URL: | https://coast.noaa.gov |
Distributor
Date Effective From: | 2021 |
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Date Effective To: | |
Contact (Organization): | NOAA Office for Coastal Management (NOAA/OCM) |
Address: |
2234 South Hobson Ave Charleston, SC 29405-2413 |
Email Address: | coastal.info@noaa.gov |
Phone: | (843) 740-1202 |
URL: | https://coast.noaa.gov |
Metadata Contact
Date Effective From: | 2021 |
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Date Effective To: | |
Contact (Organization): | NOAA Office for Coastal Management (NOAA/OCM) |
Address: |
2234 South Hobson Ave Charleston, SC 29405-2413 |
Email Address: | coastal.info@noaa.gov |
Phone: | (843) 740-1202 |
URL: | https://coast.noaa.gov |
Point of Contact
Date Effective From: | 2021 |
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Date Effective To: | |
Contact (Organization): | NOAA Office for Coastal Management (NOAA/OCM) |
Address: |
2234 South Hobson Ave Charleston, SC 29405-2413 |
Email Address: | coastal.info@noaa.gov |
Phone: | (843) 740-1202 |
URL: | https://coast.noaa.gov |
Extents
Currentness Reference: | Ground Condition |
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Extent Group 1
Extent Group 1 / Geographic Area 1
W° Bound: | -124.9724 | |
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E° Bound: | -123.203 | |
N° Bound: | 48.5423 | |
S° Bound: | 48.0401 |
Extent Group 1 / Time Frame 1
Time Frame Type: | Range |
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Start: | 1891-01-01 |
End: | 2016-12-31 |
Spatial Information
Spatial Representation
Representations Used
Grid: | Yes |
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Reference Systems
Reference System 1
Coordinate Reference System |
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Reference System 2
Coordinate Reference System |
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Access Information
Security Class: | Unclassified |
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Data Access Procedure: |
Data is available online for bulk and custom downloads. |
Data Access Constraints: |
None |
Data Use Constraints: |
Users should be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its limitations. |
Distribution Information
Distribution 1
Start Date: | 2021-08-09 |
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End Date: | Present |
Download URL: | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9347/details/9347 |
Distributor: | NOAA Office for Coastal Management (NOAA/OCM) (2021 - Present) |
File Name: | Customized Download |
Description: |
Create custom data files by choosing data area, map projection, file format, etc. A new metadata will be produced to reflect your request using this record as a base. |
File Type (Deprecated): | Zip |
Compression: | Zip |
Distribution 2
Start Date: | 2021-08-09 |
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End Date: | Present |
Download URL: | https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/CoNED_Juan_de_Fuca_DEM_2021_9347/index.html |
Distributor: | NOAA Office for Coastal Management (NOAA/OCM) (2021 - Present) |
File Name: | Bulk Download |
Description: |
Bulk download of data files in the original coordinate system. |
File Type (Deprecated): | GeoTIFF |
Distribution Format: | GeoTIFF |
URLs
URL 1
URL: | https://coast.noaa.gov/ |
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Name: | NOAA's Office for Coastal Management (OCM) website |
URL Type: |
Online Resource
|
File Resource Format: | HTML |
Description: |
Information on the NOAA Office for Coastal Management (OCM) |
URL 2
URL: | https://coast.noaa.gov/dataviewer/ |
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Name: | NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV) |
URL Type: |
Online Resource
|
File Resource Format: | HTML |
Description: |
The Data Access Viewer (DAV) allows a user to search for and download elevation, imagery, and land cover data for the coastal U.S. and its territories. The data, hosted by the NOAA Office for Coastal Management, can be customized and requested for free download through a checkout interface. An email provides a link to the customized data, while the original data set is available through a link within the viewer. |
URL 3
URL: | https://www.usgs.gov/core-science-systems/eros/coned |
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Name: | CoNED Applications Project |
URL Type: |
Online Resource
|
File Resource Format: | HTML |
Description: |
Link to the USGS CoNED Applications Project home page. |
URL 4
URL: | https://topotools.cr.usgs.gov/topobathy_viewer/ |
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Name: | CoNED Viewer |
URL Type: |
Online Resource
|
File Resource Format: | HTML |
Description: |
Link to the USGS CoNED Viewer. |
URL 5
URL: | https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/CoNED_Juan_de_Fuca_DEM_2021_9347/supplemental/coned_juan_de_fuca_m9347.kmz |
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Name: | Data set footprint |
URL Type: |
Browse Graphic
|
File Resource Format: | kmz |
Description: |
Link to the data set footprint. |
Technical Environment
Description: |
For usability, Esri ArcGIS 10.7, Photoshop, GeoCue LP360, VDatum, Global Mapper, Geospatial Data Abstraction Library (GDAL), or equivalent GIS processing software and supporting operating systems are suggested for viewing the spatial metadata. |
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Data Quality
Horizontal Positional Accuracy: |
The horizontal accuracy for the integrated topobathymetric digital elevation model (TBDEM) was not assessed quantitatively.. |
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Vertical Positional Accuracy: |
Integrated TBDEM Vertical Accuracy Assessment (GEOID12B). The TBDEM root mean square error (RMSE) over the land area is 0.38 meters versus 9 National Oceanic and Atmospheric Administration (NOAA) National Geodetic Survey (NGS) Global Positioning System (GPS) benchmark control points distributed throughout the study area. |
Completeness Report: |
Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details |
Conceptual Consistency: |
No formal logical accuracy tests were conducted. |
Lineage
Lineage Statement: |
The U.S. Geological Survey (USGS) Coastal National Elevation Database (CoNED) Applications Project created this topobathymetric digital elevation model (DEM) and provided it to the NOAA Office for Coastal Management (OCM) for distribution via the Digital Coast Data Access Viewer (DAV). |
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Sources
2014 USACE NCMP Topobathy Lidar: Washington
Publish Date: | 2016-01-01 |
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Extent Type: | Discrete |
Extent Start Date/Time: | 2014 |
Citation URL: | http://lidarportal.dnr.wa.gov/ |
Source Contribution: |
Coastal region of western Clallam County |
3DEP_1/3AS_DEM
Publish Date: | 2014-01-01 |
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Extent Type: | Range |
Extent Start Date/Time: | 1999 |
Extent End Date/Time: | 2012 |
Citation URL: | https://nationalmap.gov |
Source Contribution: |
This dataset was used to fill in where higher resolution topographic data were not available. |
Clallam Topographic Lidar, 2002
Publish Date: | 2002-01-01 |
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Extent Type: | Discrete |
Extent Start Date/Time: | 2002 |
Citation URL: | http://nationalmap.gov/,http://lidarportal.dnr.wa.gov/ |
Source Contribution: |
This dataset covers east-central Clallam County, WA. |
Elwha River, WA Topographic Lidar, 1-meter, 2012
Publish Date: | 2012-01-01 |
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Extent Type: | Discrete |
Extent Start Date/Time: | 2012 |
Citation URL: | http://nationalmap.gov/,http://lidarportal.dnr.wa.gov/ |
Source Contribution: |
Elwha River, WA |
NOS Hydrographic Survey Collection
Publish Date: | 2010-01-01 |
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Extent Type: | Range |
Extent Start Date/Time: | 2007 |
Extent End Date/Time: | 2010 |
Citation URL: | https://maps.ngdc.noaa.gov/viewers/bathymetry/ |
Source Contribution: |
The NOS Hydrographic Surveys were used where available. The following surveys were included as rasters (BAGs): H11748, H11749, H11750, H11751, H12219, H12220, H12221, H12222, H12223. |
Port Townsend, WA 1/3 arc-second TBDEM, 2011
Publish Date: | 2011-01-01 |
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Extent Type: | Discrete |
Extent Start Date/Time: | 2011 |
Citation URL: | https://data.noaa.gov/metaview/page?xml=NOAA/NESDIS/NGDC/MGG/DEM/iso/xml/1786.xml&view=getDataView&header=none |
Source Contribution: |
Port Townsend, WA |
Puget Lowlands Topographic Lidar, 1-meter, 2005
Publish Date: | 2005-01-01 |
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Extent Type: | Discrete |
Extent Start Date/Time: | 2005 |
Citation URL: | http://nationalmap.gov/,http://lidarportal.dnr.wa.gov/ |
Source Contribution: |
North Puget Sound Lowlands |
Sol Duc Topographic Lidar, 1-meter, 2015
Publish Date: | 2015-01-01 |
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Extent Type: | Range |
Extent Start Date/Time: | 2014 |
Extent End Date/Time: | 2015 |
Citation URL: | http://lidarportal.dnr.wa.gov/ |
Source Contribution: |
Sol Duc River, Northwestern Clallam County |
Strait of Juan de Fuca 1/3 arc-second NAVD88 Coastal Digital Elevation Model
Publish Date: | 2015-01-01 |
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Extent Type: | Range |
Extent Start Date/Time: | 1891 |
Extent End Date/Time: | 2013 |
Citation URL: | https://maps.ngdc.noaa.gov/viewers/bathymetry/ |
Source Contribution: |
Strait of Juan de Fuca |
WA_El_NiNO_2016_USGS_CMHRP Topographic Lidar, 1-meter, 2016
Publish Date: | 2016-01-01 |
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Extent Type: | Discrete |
Extent Start Date/Time: | 2016 |
Citation URL: | http://nationalmap.gov/,http://lidarportal.dnr.wa.gov/ |
Source Contribution: |
Washington El Nino |
WA_JeffersonClallam_2012Aug_DNR_1m Topographic Lidar, 3-feet, 2012
Publish Date: | 2012-01-01 |
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Extent Type: | Discrete |
Extent Start Date/Time: | 2012 |
Citation URL: | http://nationalmap.gov/,http://lidarportal.dnr.wa.gov/ |
Source Contribution: |
Jefferson and Clallam Counties, WA |
Process Steps
Process Step 1
Description: |
The principal methodology for developing the integrated topobathymetric digital elevation model (TBDEM) can be organized into three main components. The "topography component" consists of the land-based elevation data, which is primarily comprised from high-density lidar data. The topographic source data will include lidar data from different sensors (Topographic, Bathymetric) with distinct spectral wavelengths (NIR-1064nm, Green-532nm). The "bathymetry component" consists of hydrographic sounding (acoustic) data collected using watercraft rather than bathymetry acquired from green laser lidar within an airborne platform. The most common forms of bathymetric acquisitions include are multi-beam, single-beam, and swath. The final component, "integration", encompasses the assimilation of the topographic and bathymetric data along the near-shore based on a predefined set of priorities. The land/water interface (+1 m- -1.5 m elevation) is the most critical area, and green laser systems, such as the Experimental Advanced Airborne Research lidar (EAARL-B) and the Coastal Zone Mapping and Imaging Lidar (CZMIL) that cross the near-shore interface are valuable in developing a seamless transition. The TBDEM created from the topography and bathymetry components is a raster with associated spatial masks and metadata that can be passed to the integration component for final model incorporation. Topo/Bathy Creation Steps: Topography Processing Component: a) Quality control check the vertical and horizontal datum and projection information of the input lidar source to ensure the data is referenced to the North American Vertical Datum of 1988 (NAVD88), the North American Datum of 1983 (NAD83), and the Universal Transverse Mercator (UTM) projection. If the source data is not NAVD88, transform the input lidar data to NAVD88 reference frame using current National Geodetic Survey (NGS) geoid models and NOAA’s Vertical Datums Transformation (VDatum) software. Likewise, if required, convert the input source data to NAD83 and reproject to UTM. b) Check the classification of the topographic lidar data to verify the data are classified with the appropriate classes. If the data have not been classified, then classify the raw point cloud data to non-ground (class 1) ground (class 2), and water (class 9) classes using LP360-Classify. c) Derive associated breaklines from the classified lidar to capture internal water bodies, such as lakes and ponds and inland waterways. Inland waterways and water bodies will be hydro-flattened where no bathymetry is present. d) Extract the ground returns from the classified lidar data and randomly spatial subset the points into two point sets based on the criteria of 95 percent of the points for the "Actual Selected" set and the remaining 5 percent for the "Test Control" set. The "Actual Selected" points will be gridded in the terrain model along with associated breaklines and masks to generate the topographic surface, while the "Test Control" points will be used to compute the interpolation accuracy, Root Mean Square Error (RMSE) from the derived surface. e) Generate the minimum convex hull boundary from the classified ground lidar points that creates a mask that extracts the perimeter of the exterior lidar points. The mask is then applied in the terrain to remove extraneous terrain artifacts outside of the extent of the ground lidar points. f) Using a terrain model based on triangulated irregular networks (TINs), grid the "Actual Selected" ground points using breaklines and the minimum convex hull boundary mask at a 1-meter spatial resolution using a natural neighbor interpolation algorithm. g) Compute the interpolation accuracy by comparing elevation values in the "Test Control" points to values extracted from the derived gridded surface; report the results in terms of RMSE. |
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Process Date/Time: | 2019-08-16 00:00:00 |
Process Step 2
Description: |
Bathymetry Processing Component: a) Quality control check the vertical and horizontal datum and projection information of the input bathymetric source to ensure the data is referenced to NAVD88 and NAD83, UTM. If the source data is not NAVD88, transform the input bathymetric data to NAVD88 reference frame using VDatum. Likewise, if required, convert the input source data to NAD83 and reproject to UTM. b) Prioritize and spatially sort the bathymetry based on date of acquisition, spatial distribution, accuracy, and point density to eliminate any outdated or erroneous points and to minimize interpolation artifacts. c) Randomly spatial subset the bathymetric points into two point sets based on the criteria of 95 percent of the points for the "Actual Selected" set and the remaining 5 percent for the "Test Control" set. The "Actual Selected" points will be gridded in the empirical bayesian krigging model along with associated masks to generate the bathymetric surface, while the "Test Control" points will be used to compute the interpolation accuracy (RMSE) from the derived surface. d) Spatially interpolate bathymetric single-beam, multi-beam, and hydrographic survey source data using an empirical bayesian krigging gridding algorithm. This approach uses a geostatistical interpolation method that accounts for the error in estimating the underlying semivariogram (data structure - variance) through repeated simulations. e) Cross validation - Compare the predicted value in the geostatistical model to the actual observed value to assess the accuracy and effectiveness of model parameters by removing each data location one at a time and predicting the associated data value. The results will be reported in terms of RMSE. f) Compute the interpolation accuracy by comparing elevation values in the "Test Control" points to values extracted from the derived gridded surface; report the results in terms of RMSE. |
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Process Date/Time: | 2019-08-16 00:00:00 |
Process Step 3
Description: |
Mosaic Dataset Processing (Integration) Component: a) Determined priority of input data based on project characteristics, including acquisition dates, cell size, retention of features, water surface treatment, visual inspection and presence of artifacts. b) Develop an Esri ArcGIS geodatabase (Mosaic Dataset) and spatial seamlines for each individual topographic (minimum convex hull boundary) and bathymetric raster layer included in the integrated elevation model. c) Generalize seamline edges to smooth transition boundaries between neighboring raster layers and split complex raster datasets with isolated regions into individual unique raster groups. d) Develop an integrated shoreline transition zone from the best available topographic and bathymetric data to blend the topographic and bathymetric elevation sources. Where feasible, use the minimum convex hull boundary, create a buffer to logically mask input topography/bathymetry data. Then, through the use of TINs, interpolate the selected topographic and bathymetric points to gap-fill, if required any near-shore holes in the bathymetric coverage. Topobathymetric lidar data sources, such as the EAARL-B or CZMIL systems, provide up-to-date, high-resolution data along the critical land/water interface within inter-tidal zone. e) Prioritize and spatially sort the input topographic and bathymetric raster layers based on date of acquisition and accuracy to sequence the raster data in the integrated elevation model. f) Based on the prioritization, spatially mosaic the input raster data sources to create a seamless topobathymetric composite at a cell size of 1 meter using blending (spatial weighting). g) Performed a visual quality assurance (Q/A) assessment on the output composite to review the mosaic seams for artifacts. h) Generate spatially referenced metadata for each unique data source. The spatially reference metadata consists of a group of geospatial polygons that represent the spatial footprint of each data source used in the generation of the TBDEM. Each polygon is to be populated with attributes that describe the source data, such as, resolution, acquisition date, source name, source organization, source contact, source project, source URL, and data type (topographic lidar, bathymetric lidar, multi-beam bathymetry, single-beam bathymetry, etc.). |
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Process Date/Time: | 2019-08-16 00:00:00 |
Process Step 4
Description: |
The NOAA Office for Coastal Management (OCM) received one tif file for the topobathymetric data for the Strait of Juan de Fuca from the USGS Coastal National Elevation Database (CoNED) Applications Project. The data were in UTM Zone 10 NAD83(2011), meters coordinates and in NAVD88 (Geoid12B) elevations in meters. The data were at a 1m grid spacing. The data were retiled to 448, cloud optimized GeoTiffs using gdal_retile.py and the horizontal (6339) and vertical (5703) EPSG codes were assigned. |
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Process Date/Time: | 2021-08-09 00:00:00 |
Process Contact: | Office for Coastal Management (OCM) |
Catalog Details
Catalog Item ID: | 65169 |
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GUID: | gov.noaa.nmfs.inport:65169 |
Metadata Record Created By: | Rebecca Mataosky |
Metadata Record Created: | 2021-08-09 20:20+0000 |
Metadata Record Last Modified By: | Kirk Waters |
Metadata Record Last Modified: | 2024-01-10 19:18+0000 |
Metadata Record Published: | 2024-01-10 |
Owner Org: | OCMP |
Metadata Publication Status: | Published Externally |
Do Not Publish?: | N |
Metadata Last Review Date: | 2021-08-09 |
Metadata Review Frequency: | 1 Year |
Metadata Next Review Date: | 2022-08-09 |