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Short Citation:
OCM Partners, 2024: 1930 - 2014 USGS CoNED Topobathy DEM (Compiled 2016): Southern Coast of CA & Channel Islands, https://www.fisheries.noaa.gov/inport/item/55359.

Item Identification

Title: 1930 - 2014 USGS CoNED Topobathy DEM (Compiled 2016): Southern Coast of CA & Channel Islands
Short Name: socal_coned_m8658_metadata
Status: Completed
Publication Date: 2018-08-13
Abstract:

To support the modeling of storm-induced flooding, the USGS Coastal National Elevation Database (CoNED) Applications Project has created an integrated 1-meter topobathymetric digital elevation model (TBDEM) for the Southern California Coast and Channel Islands. The Channel Islands are a chain of eight islands where years of isolation has created unique fauna, flora, and archeological resources. The archipelago extends for 160 miles (257 km) between San Miguel Island in the north and San Clemente Island in the south. Five of the islands are part of Channel Islands National Park (Anacapa, Santa Cruz, Santa Rosa, San Miguel, and Santa Barbara), and the waters surrounding these islands make up the Channel Islands National Marine Sanctuary. High-resolution coastal elevation data is required to identify flood, storm, 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 Southern California including the Channel Islands onshore and offshore areas. The Southern California TBDEM integrates 49 different data sources including topographic and bathymetric LiDAR point clouds, Interferometric Synthetic Aperture Radar (IFSAR), hydrographic surveys, single-beam acoustic surveys, and multi-beam acoustic surveys obtained from USGS, NOAA, California State University – Monterey Bay, and Los Angeles County. 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 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 that are normally used for mapping elevation on land (based on the North American Vertical Datum of 1988). The spatial resolution is 1-meter with the general location ranging from the Mexican Border to Point Conception, and extending offshore to a depth of 2,847 meters. The overall temporal range of the input topography and bathymetry is 1930 to 2014. The topography surveys are from 2005-2014. The bathymetry surveys were acquired between 1930 and 2014. Some of the nearshore void zone (not covered by lidar or multibeam) was filled with NOS surveys from 1967 and 2013.

Purpose:

As a collaboration between the U.S. Geological Survey (USGS) Coastal and Marine Geology Program (CMGP), the National Geospatial Program (NGP), and the NOAA National Centers for Environmental Information (NCEI), the CoNED Applications Project integrates disparate light detection and ranging (LiDAR) and bathymetric data sources into a common 3D database aligned both vertically and horizontally to a common reference system. CoNED Project TBDEM elevation model development is focused in select regions around the U.S. Coast, such as in the Northern Gulf of Mexico (NGOM), the Hurricane Sandy Region in the northeast, the California Coast Region, the Pacific Northwest, and the North Slope of Alaska. CoNED Project topobathymetric digital elevation models (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 elevation topobathymetric elevation product, the Federal Geographic Data Committee (FGDC) metadata, and the spatially referenced metadata are contained in the downloadable bundle. Spatially referenced metadata are contained within an ESRI 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 initiative—A call for action: U.S. Geological Survey Circular 1399, 35 p Carswell, W.J., Jr., 2013, The 3D Elevation Program—Summary for California: U.S. Geological Survey Fact Sheet 2013–3056, 2 p., http://pubs.usgs.gov/fs/2013/3056/ Dartnell, P.,Finlayson, D.P., Ritchie, A.C., Cochrane, G.R., and Erdey, M.D., 2012, Bathymetry and acoustic backscatter—outer mainland shelf, eastern Santa Barbara Channel, California: U.S. Geological Survey Data Series 702, 6 p., and GIS data. (Available at http://pubs.usgs.gov/ds/702/.) Dartnell, P., Driscoll, N.W., Brothers, D., Conrad, J.E., Kluesner, J., Kent, G., and Andrews, B., 2015, Colored shaded-relief bathymetry, acoustic backscatter, and selected perspective views of the inner continental borderland, Southern California, U.S. Geological Survey Scientific Investigations Map 3324, 3 sheets, http://dx.doi.org/10.3133/sim3324. Cochrane, G.R., 2016, Data release for the USGS interferometric sidescan sonar survey of SW Santa Rosa Island, California, USGS Data Release, http://dx.doi.org/10.5066/F78G8HVC NOAA Caldwell, R.J., L.A. Taylor, B.W. Eakins, K.S. Carignan, P.R. Grothe, E. Lim, and D.Z. Friday, 2011. Digital Elevation Models of Santa Monica, California: Procedures, Data Sources and Analysis, NOAA Technical Memorandum NESDIS NGDC-46, U.S. Dept. of Commerce, Boulder, CO, 38 pp. CSUMB - California State University, Monterey Bay (CSUMB) – Seafloor Mapping Lab - http://seafloor.otterlabs.org/index.html Chaytor, J.D., Goldfinger, C., Meiner, M.A., Huftile, G.J., Romsos, C. G., Legg, M.R., 2008. Measuring vertical tectonic motion at the intersection of the Santa Cruz-Catalina Ridge and Northern Channel Islands platform, California Continental Borderland, using submerged paleoshorelines. GSA Bulletin, Vol. 120, No.7/8, pp 1053-1071, http://dx.doi.org/10.1130/B26316.1 Cochrane, G.R., and K. D. Lafferty, 2002, Use of acoustic classification of sidescan sonar data for mapping benthic habitat in the Northern Channel Islands, California. Continental Shelf Research, 22:683-690. Dartnell, P., and Gardner, J.V. 2004a. Predicting seafloor facies from multibeam bathymetry and backscatter data. Photogrammetric Engineering and Remote Sensing. Vol. 70, No.9, pp 1081-1091.

Supplemental Information:

The data obtained through ScienceBase at https://www.sciencebase.gov/catalog/item/5af335b2e4b0da30c1b26dab 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
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
UNCONTROLLED
None 3DEP
None Acoustic Sonar
None Coastal and Marine Geology 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 > CALIFORNIA
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 Anacapa Island
Geographic Names Information System Channel Islands
Geographic Names Information System County of Los Angeles
Geographic Names Information System County of Orange
Geographic Names Information System County of Riverside
Geographic Names Information System County of San Diego
Geographic Names Information System County of Santa Barbara
Geographic Names Information System County of Ventura
Geographic Names Information System Deveraux Slough
Geographic Names Information System San Clemente Island
Geographic Names Information System San Miguel Island
Geographic Names Information System San Nicholas Island
Geographic Names Information System Santa Barbara Island
Geographic Names Information System Santa Catalina Island
Geographic Names Information System Santa Cruz Island
Geographic Names Information System Santa Rosa Island
Geographic Names Information System Southern Coastal California
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 CA
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
City: Charleston
State/Province: SC

Data Set Information

Data Set Scope Code: Data Set
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, 2018, Topobathymetric Model for the Southern Coast of California and the Channel Islands, 1930 to 2014: U.S. Geological Survey data release, at https://doi.org/10.5066/P9UZIYI8

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 the USGS, 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. U.S. Geological Survey

Support Roles

Data Steward

CC ID: 814198
Date Effective From: 2019-01-18
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

CC ID: 814199
Date Effective From: 2019-01-18
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

CC ID: 814200
Date Effective From: 2019-01-18
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

CC ID: 814201
Date Effective From: 2019-01-18
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

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 1291654
W° Bound: -120.4908
E° Bound: -117.0464
N° Bound: 34.5652
S° Bound: 32.4876

Extent Group 1 / Time Frame 1

CC ID: 1291653
Time Frame Type: Range
Start: 1930-03-03
End: 2014-12-31

Access Information

Security Class: Unclassified
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

CC ID: 814205
Start Date: 2019-01-18
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8658
Distributor:
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.

Compression: Zip

Distribution 2

CC ID: 814206
Start Date: 2019-01-18
End Date: Present
Download URL: https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/CA_Southern_CoNED_DEM_2016_8658/index.html
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2019-01-18 - Present)
File Name: Bulk Download
Description:

Bulk download of data files in the original coordinate system.

URLs

URL 1

CC ID: 814193
URL: https://coast.noaa.gov/
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

CC ID: 814194
URL: https://coast.noaa.gov/dataviewer/
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

CC ID: 814195
URL: https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/CA_Southern_CoNED_DEM_2016_8658/socal.kmz
Name: Browse Graphic
URL Type:
Browse Graphic
File Resource Format: KML
Description:

This graphic displays the footprint for this lidar data set.

URL 4

CC ID: 814196
URL: https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/CA_Southern_CoNED_DEM_2016_8658/Southern_California_Topobathy_Spatial_Metadata_gdb.zip
URL Type:
Online Resource
File Resource Format: zip
Description:

Link to the geospatial metadata.

Technical Environment

Description:

Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.3.1.4959

Data Quality

Horizontal Positional Accuracy:

The horizontal accuracy for the integrated topobathymetric model was not assessed quantitatively.

Vertical Positional Accuracy:

Integrated TBDEM Vertical Accuracy Assessment (GEOID09).

The TBDEM root mean square error (RMSE) over the land area is 0.16 meters versus 34 NOAA NGS GPS bench mark 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

Sources

2002/2003 IfSAR data for Southern California: Digital Elevation Model (NAVD88)

CC ID: 1291625
Publish Date: 2004-01-01
Extent Type: Range
Extent Start Date/Time: 2002
Extent End Date/Time: 2003
Citation URL: https://coast.noaa.gov/dataviewer/#/lidar/search/
Source Contribution:

This data is first-return surface (vegetation is in the dataset) X-band Interferometric Synthetic Aperture Radar (IfSAR). Products include a digital elevation model (DEM) and an orthorectified radar reflectance image. This data was collected to support an array of studies and analyses that include hydrologic modeling, watershed delineation and water quality assessment.

2009-2011 CA Coastal Conservancy Coastal Topobathy Project: Digital Elevation Model

CC ID: 1291626
Publish Date: 2009-01-01
Extent Type: Discrete
Extent Start Date/Time: 2009
Source Contribution:

The dataset covers the entire state of CA, from +10m elevation to the 3-nautical mile limit.

3DEP_1/3AS_DEM

CC ID: 1291627
Citation URL: https://nationalmap.gov
Source Contribution:

This dataset was only used to fill in where higher resolution topographic data were not available.

3DEP_DEM_1/9AS

CC ID: 1291628
Publish Date: 2011-01-01
Citation URL: https://nationalmap.gov
Source Contribution:

This dataset was used in the following areas: Canyon Fire, Day Fire, Baja California, Orange County, Poway Quadrangle, City of San Diego. These datasets were only included when no higher resolution data existed.

A Seamless, High-Resolution, Coastal Digital Elevation Model (DEM) for Southern California

CC ID: 1291629
Publish Date: 2010-01-01
Extent Type: Range
Extent Start Date/Time: 1996
Extent End Date/Time: 2008
Citation URL: https://pubs.usgs.gov/ds/487/
Source Contribution:

This dataset was used to cover three small areas where the landward extent of the OPC DEM did not cover the +10m elevation contour, which is needed for modeling.

Anacapa, 2010 1-Meter; San Miguel, 2010 1-Meter; Santa Barbara, 2010 1-Meter; Santa Cruz, 2010 1-Meter; Sata Rosa, 2010 1-Meter

CC ID: 1291630
Publish Date: 2011-01-01
Extent Type: Discrete
Extent Start Date/Time: 2010
Citation URL: http://nationalmap.gov/viewer.html
Source Contribution:

U.S. Geologicial Survey (USGS) historical and current 3D Elevation Program (3DEP) Bare-earth DEMs

Catalina Island 5-Foot, 2006 (LA County)

CC ID: 1291631
Publish Date: 2006-01-01
Extent Type: Discrete
Extent Start Date/Time: 2006
Citation URL: http://egis3.lacounty.gov/dataportal/2010/02/19/2006-5-foot-1-7m-digital-elevation-model-dem/
Source Contribution:

High-density LIDAR (Light Detection and Ranging), was acquired in conjunction with 4-inch ortho-photography data. This source was used for the majority of urban/suburban areas of the County in mainland (approximately 2,898 square miles) and Catalina Island covering approximately 75 square miles.

Catalina, 2001, 1-Meter and 2008, 5-Meter; San Clemente Bathymetry (Bathy), 2004, 2-Meter; Santa Barbara Bathy, 2001_2006, 2-Meter; Santa Cruz Gull, 2003, 3-Meter; Santa Cruz Scorpion, 2006, 2-Meter; Santa Rosa North, 2003, 3-Meter & South, 2003, 2-Meter; San Nicolas, 2012, 5-Meter; Cortes Bank, 3-Meter; Tanner Bank, 3-Meter, Begg Rock, 5-Meter

CC ID: 1291632
Publish Date: 2012-01-01
Extent Type: Range
Extent Start Date/Time: 2003
Extent End Date/Time: 2012
Citation URL: http://seafloor.otterlabs.org/SFMLwebDATA_SURVEYMAP.htm
Source Contribution:

"Data presented in the SFML DATA LIBRARY include a series of remotely sensed images (multibeam, side scan sonar), derived data (bathymetric contours, grid analyses, etc.), habitat analyses, associated data sets (survey footprints, coastline) with FGDC metadata, and grouped by survey location. Data are presented in ESRI ArcGIS format (shapefiles, grids). Multibeam and sidescan images are Geotiffs. These data are NOT to be used for navigational purposes."

Deveraux Slough Bathy - UC Santa Barbara campus

CC ID: 1291633
Publish Date: 2012-01-01
Extent Type: Discrete
Extent Start Date/Time: 2012
Source Contribution:

Deveraux Slough.

High-resolution multibeam bathymetry and backscatter data collected in 2004 for the northern Channel Islands region, southern California

CC ID: 1291634
Publish Date: 2016-01-01
Extent Type: Discrete
Extent Start Date/Time: 2004
Citation URL: http://dx.doi.org/10.5066/F7S46Q1J
Source Contribution:

This dataset covers the northern Channel Islands region in southern California.

Inner Continental Borderland, Southern California 25-Meter Bathy

CC ID: 1291635
Publish Date: 2014-01-01
Extent Type: Discrete
Extent Start Date/Time: 2013
Citation URL: http://pubs.usgs.gov/sim/3324/
Source Contribution:

Inner Continental Borderland, Southern California .

Merged bathymetry of the Santa Barbara Channel, California, 1998 to 2011, 10-Meter

CC ID: 1291636
Publish Date: 2012-01-01
Extent Type: Range
Extent Start Date/Time: 1998
Extent End Date/Time: 2011
Citation URL: http://pubs.usgs.gov/ds/702/
Source Contribution:

In 2010 and 2011, scientists from the U.S. Geological Survey (USGS), Pacific Coastal and Marine Science Center (PCMSC), acquired bathymetry and acoustic-backscatter data from the outer shelf region of the eastern Santa Barbara Channel, California. These surveys were conducted in cooperation with the Bureau of Ocean Energy Management (BOEM). BOEM is interested in maps of hard-bottom substrates, particularly natural outcrops that support reef communities in areas near oil and gas extraction activity. The surveys were conducted using the USGS R/V Parke Snavely, outfitted with an interferometric sidescan sonar for swath mapping and real-time kinematic navigation equipment. This report provides the bathymetry and backscatter data acquired during these surveys in several formats, a summary of the mapping mission, maps of bathymetry and backscatter, and Federal Geographic Data Committee (FGDC) metadata.

Newport_Bathymetry_2014_2m

CC ID: 1291639
Publish Date: 2014-01-01
Extent Type: Discrete
Extent Start Date/Time: 2014
Source Contribution:

This dataset covers the Newport Harbor.

NOAA Bathymetry in raster (BAG) format, H12617, H12618, H12619, H12620

CC ID: 1291637
Publish Date: 2013-01-01
Extent Type: Discrete
Extent Start Date/Time: 2013
Citation URL: https://www.ngdc.noaa.gov/nos/H12001-H14000/H12617.html
Source Contribution:

These surveys cover San Pedro Bay and Los Angeles and Long Beach Harbors.

Northern Channel Islands bathymetry 30-meter (from EX1101 Multibeam)

CC ID: 1291640
Publish Date: 2011-01-01
Extent Type: Discrete
Extent Start Date/Time: 2011
Citation URL: https://www.ngdc.noaa.gov/ships/okeanos_explorer/EX1101_mb.html
Source Contribution:

South and west of the northern Channel Islands.

NOS Hydrographic Survey H08920

CC ID: 1291638
Publish Date: 1967-01-01
Extent Type: Discrete
Extent Start Date/Time: 1967
Source Contribution:

The only NOS Hydrographic Survey (H08920) used was used in Mission Bay.

San Diego, California 1/3 Arc-second NAVD 88 Coastal Digital Elevation Model

CC ID: 1291641
Publish Date: 2012-01-01
Extent Type: Range
Extent Start Date/Time: 1932
Extent End Date/Time: 2009
Citation URL: https://www.ngdc.noaa.gov/metaview/page?xml=NOAA/NESDIS/NGDC/MGG/DEM/iso/xml/3542.xml&view=getDataView&header=none
Source Contribution:

The San Diego NAVD88 DEM covers the coastal area surrounding Camp Pendleton, California including the communities of Emerald Bay in the north to San Diego in the south. The DEM has a 1/3 arc-second (~10 meter) cell size, and is referenced to a vertical datum of NADV88. It was built in 2012 to support NOAA's Tsunami Program.

San Nicholas Chaytor Bathymetry, 2004 25-Meter; Santa Cruz Chaytor Bathymetry, 2004,10-Meter

CC ID: 1291642
Publish Date: 2008-01-01
Extent Type: Range
Extent Start Date/Time: 2003
Extent End Date/Time: 2004
Citation URL: http://dx.doi.org/10.1130/B26316.1
Source Contribution:

As specified in Chaytor, J.D. et al. 2008, during October 2003 and September 2004, multibeam bathymetry surveys were carried out around the Northern Channel Islands and the Pilgrim-Kidney Banks using a pole-mounted Simrad Mesotech SM2000 imaging sonar coupled to a WAAS-enable DGPS receiver and Seatex MRU-4 attitude sensor onboard the the R/V Velero IV. For depths ranging between 30 to 400-meters, the nominal pixel spacing is 10-meters; while in areas with water depths shallower than 150-meters, the vertical accuracy is better than 3-meters.

San Nicolas SNI Laser, 2013, 2-Meter

CC ID: 1291643
Publish Date: 2013-01-01
Extent Type: Discrete
Extent Start Date/Time: 2013
Citation URL: http://seafloor.otterlabs.org/SFMLwebDATA_SURVEYMAP.htm
Source Contribution:

"The creation of a high-resolution 1:24,000 scale geologic and habitat base map series covering all of California's 14,500 km2 state waters out to the 3 mile limit, and support of the state's Marine Life Protection Act Initiative (MLPA) goal to create a statewide network of Marine Protected Areas (MPAs)."

Santa Barbara, California 1/3 arc-second MHW Coastal Digital Elevation Model

CC ID: 1291644
Publish Date: 2008-01-01
Extent Type: Range
Extent Start Date/Time: 1930
Extent End Date/Time: 2008
Citation URL: https://www.ngdc.noaa.gov/docucomp/page?xml=NOAA/NESDIS/NGDC/MGG/DEM/iso/xml/603.xml&view=getDataView&header=none
Source Contribution:

The Santa Barbara MHW DEM covers the coastal area surrounding Santa Barbara, California including the communities of San Augustine in the west to Oxnard in the east. The DEM has a 1/3 arc-second (~10 meter) cell size, and is referenced to a vertical datum of MHW. It was built in 2008 2012 to support NOAA's Tsunami Program.

Santa Monica, California 1/3 arc-second NAVD88 Coastal Digital Elevation Model

CC ID: 1291645
Publish Date: 2010-01-01
Extent Type: Range
Extent Start Date/Time: 1932
Extent End Date/Time: 2009
Citation URL: https://www.ngdc.noaa.gov/metaview/page?xml=NOAA/NESDIS/NGDC/MGG/DEM/iso/xml/663.xml&view=getDataView&header=none
Source Contribution:

"The Santa Monica MHW DEM covers the coastal area surrounding Santa Monica, California including the communities of Los Angeles, Malibu, Marina del Rey, Redondo Beach, Long Beach, and Huntington Beach. The DEM has a 1/3 arc-second (~10 meter) cell size, and is referenced to a vertical datum of NADV88. It was built in March 2010 to support NOAA's Tsunami Program."

Southwest Santa Rosa Island Bathy, 2007, 2-Meter

CC ID: 1291646
Publish Date: 2016-01-01
Extent Type: Discrete
Extent Start Date/Time: 2007
Citation URL: http://walrus.wr.usgs.gov/pacmaps/site.html
Source Contribution:

Southwest Santa Rosa Island.

U.S. Coastal Relief Model - Southern California Version 2

CC ID: 1291647
Publish Date: 2013-01-01
Extent Type: Range
Extent Start Date/Time: 1930
Extent End Date/Time: 2012
Citation URL: http://dx.doi.org/10.7289/V5V985ZM
Source Contribution:

The bathymetry in this dataset were used to fill in gaps in the study area where no higher resolution data existed.

Process Steps

Process Step 1

CC ID: 1291648
Description:

The principal methodology for developing the integrated topobathymetric elevation model can be organized into three main components. The "topography component" consists of the land-based elevation data, which is primarily comprised from high-resolution 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 boats rather than bathymetry acquired from LiDAR. The most common forms of bathymetry that are used include: 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) 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 end product 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 NAVD88 and NAD83, UTM. 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 VDatum. 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) 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 Root Mean Square Error (RMSE).

Process Date/Time: 2016-02-01 00:00:00

Process Step 2

CC ID: 1291649
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 (Root Mean Square Error) 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.

Process Date/Time: 2016-03-01 00:00:00

Process Step 3

CC ID: 1291650
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 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 topobathymetric dataset. 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.).

Process Date/Time: 2016-04-04 00:00:00

Process Step 4

CC ID: 1291651
Description:

The NOAA Office for Coastal Management (OCM) received the Digital Elevation Model (DEM) file from USGS. The data were in UTM Zone 11 (NAD83) coordinates and NAVD88 elevations in meters. The bare earth raster files were at a 1 meter grid spacing.

OCM performed the following processing on the data for Digital Coast storage and provisioning purposes:

1. Tiled the large DEM file into smaller files using Global Mapper.

2. Copied the files to https

Process Date/Time: 2019-01-18 00:00:00
Process Contact: Office for Coastal Management (OCM)

Catalog Details

Catalog Item ID: 55359
GUID: gov.noaa.nmfs.inport:55359
Metadata Record Created By: Rebecca Mataosky
Metadata Record Created: 2019-01-18 13:20+0000
Metadata Record Last Modified By: Kirk Waters
Metadata Record Last Modified: 2024-01-10 19:04+0000
Metadata Record Published: 2024-01-10
Owner Org: OCMP
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2019-01-22
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2020-01-22