gov.noaa.nmfs.inport:55359
eng
UTF8
dataset
Elevation
OCM Partners
resourceProvider
NOAA Office for Coastal Management
(843) 740-1202
2234 South Hobson Ave
Charleston
SC
29405-2413
coastal.info@noaa.gov
https://coast.noaa.gov
WWW:LINK-1.0-http--link
NOAA Office for Coastal Management Website
NOAA Office for Coastal Management Home Page
information
pointOfContact
2024-02-29T00:00:00
ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data
ISO 19115-2:2009(E)
1930 - 2014 USGS CoNED Topobathy DEM (Compiled 2016): Southern Coast of CA & Channel Islands
socal_coned_m8658_metadata
2018-08-13
publication
NOAA/NMFS/EDM
55359
https://www.fisheries.noaa.gov/inport/item/55359
WWW:LINK-1.0-http--link
Full Metadata Record
View the complete metadata record on InPort for more information about this dataset.
information
https://coast.noaa.gov/
WWW:LINK-1.0-http--link
NOAA's Office for Coastal Management (OCM) website
Information on the NOAA Office for Coastal Management (OCM)
download
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
WWW:LINK-1.0-http--link
Citation URL
Link to the geospatial metadata.
download
https://coast.noaa.gov/dataviewer/
WWW:LINK-1.0-http--link
NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV)
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.
download
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 â 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.
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 initiativeâA call for action: U.S. Geological Survey Circular 1399, 35 p Carswell, W.J., Jr., 2013, The 3D Elevation ProgramâSummary for California: U.S. Geological Survey Fact Sheet 2013â3056, 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 backscatterâouter 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) â 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.
Please refer to the Data Quality Section, Source Citations for original source data information., Tyler, D.J. Danielson, J.J. U.S. Geological Survey
completed
NOAA Office for Coastal Management
(843) 740-1202
2234 South Hobson Ave
Charleston
SC
29405-2413
coastal.info@noaa.gov
https://coast.noaa.gov
WWW:LINK-1.0-http--link
NOAA Office for Coastal Management Website
NOAA Office for Coastal Management Home Page
information
pointOfContact
NOAA Office for Coastal Management
(843) 740-1202
2234 South Hobson Ave
Charleston
SC
29405-2413
coastal.info@noaa.gov
https://coast.noaa.gov
WWW:LINK-1.0-http--link
NOAA Office for Coastal Management Website
NOAA Office for Coastal Management Home Page
information
custodian
asNeeded
https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/CA_Southern_CoNED_DEM_2016_8658/socal.kmz
This graphic displays the footprint for this lidar data set.
KML
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > SEAFLOOR TOPOGRAPHY
EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION
theme
Global Change Master Directory (GCMD) Science Keywords
17.0
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > CALIFORNIA
VERTICAL LOCATION > LAND SURFACE
VERTICAL LOCATION > SEA FLOOR
place
Global Change Master Directory (GCMD) Location Keywords
17.0
LIDAR > Light Detection and Ranging
instrument
Global Change Master Directory (GCMD) Instrument Keywords
17.2
Airplane > Airplane
DEM > Digital Elevation Model
platform
Global Change Master Directory (GCMD) Platform Keywords
17.2
Anacapa Island
Channel Islands
County of Los Angeles
County of Orange
County of Riverside
County of San Diego
County of Santa Barbara
County of Ventura
Deveraux Slough
San Clemente Island
San Miguel Island
San Nicholas Island
Santa Barbara Island
Santa Catalina Island
Santa Cruz Island
Santa Rosa Island
Southern Coastal California
place
Geographic Names Information System
CA
place
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
U.S.
US
USA
United States
place
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
3DEP
Acoustic Sonar
CoNED
Coastal Zone
Coastal and Marine Geology Program
Light Detection and Ranging
National Standards for Spatial Digital Accuracy
U.S. Geological Survey
USGS
theme
DEMs - partner (no harvest)
project
InPort
otherRestrictions
Cite As: OCM Partners, [Date of Access]: 1930 - 2014 USGS CoNED Topobathy DEM (Compiled 2016): Southern Coast of CA & Channel Islands [Data Date Range], https://www.fisheries.noaa.gov/inport/item/55359.
NOAA provides no warranty, nor accepts any liability occurring from any incomplete, incorrect, or misleading data, or from any incorrect, incomplete, or misleading use of the data. It is the responsibility of the user to determine whether or not the data is suitable for the intended purpose.
otherRestrictions
Access Constraints: None
otherRestrictions
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.
otherRestrictions
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.
unclassified
NOAA Data Management Plan (DMP)
NOAA/NMFS/EDM
55359
https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/55359.pdf
WWW:LINK-1.0-http--link
NOAA Data Management Plan (DMP)
NOAA Data Management Plan for this record on InPort.
information
crossReference
eng; US
oceans
Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.3.1.4959
-120.4908
-117.0464
32.4876
34.5652
| Currentness: Ground Condition
1930-03-03
2014-12-31
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.
false
eng
false
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
NOAA Office for Coastal Management
(843) 740-1202
2234 South Hobson Ave
Charleston
SC
29405-2413
coastal.info@noaa.gov
https://coast.noaa.gov
WWW:LINK-1.0-http--link
NOAA Office for Coastal Management Website
NOAA Office for Coastal Management Home Page
information
distributor
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8658
WWW:LINK-1.0-http--link
Customized Download
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.
download
https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/CA_Southern_CoNED_DEM_2016_8658/index.html
WWW:LINK-1.0-http--link
Bulk Download
Bulk download of data files in the original coordinate system.
download
dataset
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.
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).
2016-02-01T00:00:00
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.
2016-03-01T00:00:00
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.).
2016-04-04T00:00:00
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
2019-01-18T00:00:00
Office for Coastal Management
processor
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.
2002/2003 IfSAR data for Southern California: Digital Elevation Model (NAVD88)
2004-01-01
publication
https://coast.noaa.gov/dataviewer/#/lidar/search/
WWW:LINK-1.0-http--link
Source Citation URL
Source Citation URL
information
2002
2003
Source Contribution: The dataset covers the entire state of CA, from +10m elevation to the 3-nautical mile limit.
2009-2011 CA Coastal Conservancy Coastal Topobathy Project: Digital Elevation Model
2009-01-01
publication
2009
Source Contribution: This dataset was only used to fill in where higher resolution topographic data were not available.
3DEP_1/3AS_DEM
https://nationalmap.gov
WWW:LINK-1.0-http--link
Source Citation URL
Source Citation URL
information
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.
3DEP_DEM_1/9AS
2011-01-01
publication
https://nationalmap.gov
WWW:LINK-1.0-http--link
Source Citation URL
Source Citation URL
information
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.
A Seamless, High-Resolution, Coastal Digital Elevation Model (DEM) for Southern California
2010-01-01
publication
https://pubs.usgs.gov/ds/487/
WWW:LINK-1.0-http--link
Source Citation URL
Source Citation URL
information
1996
2008
Source Contribution: U.S. Geologicial Survey (USGS) historical and current 3D Elevation Program (3DEP) Bare-earth DEMs
Anacapa, 2010 1-Meter; San Miguel, 2010 1-Meter; Santa Barbara, 2010 1-Meter; Santa Cruz, 2010 1-Meter; Sata Rosa, 2010 1-Meter
2011-01-01
publication
http://nationalmap.gov/viewer.html
WWW:LINK-1.0-http--link
Source Citation URL
Source Citation URL
information
2010
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 Island 5-Foot, 2006 (LA County)
2006-01-01
publication
http://egis3.lacounty.gov/dataportal/2010/02/19/2006-5-foot-1-7m-digital-elevation-model-dem/
WWW:LINK-1.0-http--link
Source Citation URL
Source Citation URL
information
2006
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."
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
2012-01-01
publication
http://seafloor.otterlabs.org/SFMLwebDATA_SURVEYMAP.htm
WWW:LINK-1.0-http--link
Source Citation URL
Source Citation URL
information
2003
2012
Source Contribution: Deveraux Slough.
Deveraux Slough Bathy - UC Santa Barbara campus
2012-01-01
publication
2012
Source Contribution: This dataset covers the northern Channel Islands region in southern California.
High-resolution multibeam bathymetry and backscatter data collected in 2004 for the northern Channel Islands region, southern California
2016-01-01
publication
http://dx.doi.org/10.5066/F7S46Q1J
WWW:LINK-1.0-http--link
Source Citation URL
Source Citation URL
information
2004
Source Contribution: Inner Continental Borderland, Southern California .
Inner Continental Borderland, Southern California 25-Meter Bathy
2014-01-01
publication
http://pubs.usgs.gov/sim/3324/
WWW:LINK-1.0-http--link
Source Citation URL
Source Citation URL
information
2013
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.
Merged bathymetry of the Santa Barbara Channel, California, 1998 to 2011, 10-Meter
2012-01-01
publication
http://pubs.usgs.gov/ds/702/
WWW:LINK-1.0-http--link
Source Citation URL
Source Citation URL
information
1998
2011
Source Contribution: These surveys cover San Pedro Bay and Los Angeles and Long Beach Harbors.
NOAA Bathymetry in raster (BAG) format, H12617, H12618, H12619, H12620
2013-01-01
publication
https://www.ngdc.noaa.gov/nos/H12001-H14000/H12617.html
WWW:LINK-1.0-http--link
Source Citation URL
Source Citation URL
information
2013
Source Contribution: The only NOS Hydrographic Survey (H08920) used was used in Mission Bay.
NOS Hydrographic Survey H08920
1967-01-01
publication
1967
Source Contribution: This dataset covers the Newport Harbor.
Newport_Bathymetry_2014_2m
2014-01-01
publication
2014
Source Contribution: South and west of the northern Channel Islands.
Northern Channel Islands bathymetry 30-meter (from EX1101 Multibeam)
2011-01-01
publication
https://www.ngdc.noaa.gov/ships/okeanos_explorer/EX1101_mb.html
WWW:LINK-1.0-http--link
Source Citation URL
Source Citation URL
information
2011
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 Diego, California 1/3 Arc-second NAVD 88 Coastal Digital Elevation Model
2012-01-01
publication
https://www.ngdc.noaa.gov/metaview/page?xml=NOAA/NESDIS/NGDC/MGG/DEM/iso/xml/3542.xml&view=getDataView&header=none
WWW:LINK-1.0-http--link
Source Citation URL
Source Citation URL
information
1932
2009
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 Nicholas Chaytor Bathymetry, 2004 25-Meter; Santa Cruz Chaytor Bathymetry, 2004,10-Meter
2008-01-01
publication
http://dx.doi.org/10.1130/B26316.1
WWW:LINK-1.0-http--link
Source Citation URL
Source Citation URL
information
2003
2004
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)."
San Nicolas SNI Laser, 2013, 2-Meter
2013-01-01
publication
http://seafloor.otterlabs.org/SFMLwebDATA_SURVEYMAP.htm
WWW:LINK-1.0-http--link
Source Citation URL
Source Citation URL
information
2013
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 Barbara, California 1/3 arc-second MHW Coastal Digital Elevation Model
2008-01-01
publication
https://www.ngdc.noaa.gov/docucomp/page?xml=NOAA/NESDIS/NGDC/MGG/DEM/iso/xml/603.xml&view=getDataView&header=none
WWW:LINK-1.0-http--link
Source Citation URL
Source Citation URL
information
1930
2008
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."
Santa Monica, California 1/3 arc-second NAVD88 Coastal Digital Elevation Model
2010-01-01
publication
https://www.ngdc.noaa.gov/metaview/page?xml=NOAA/NESDIS/NGDC/MGG/DEM/iso/xml/663.xml&view=getDataView&header=none
WWW:LINK-1.0-http--link
Source Citation URL
Source Citation URL
information
1932
2009
Source Contribution: Southwest Santa Rosa Island.
Southwest Santa Rosa Island Bathy, 2007, 2-Meter
2016-01-01
publication
http://walrus.wr.usgs.gov/pacmaps/site.html
WWW:LINK-1.0-http--link
Source Citation URL
Source Citation URL
information
2007
Source Contribution: The bathymetry in this dataset were used to fill in gaps in the study area where no higher resolution data existed.
U.S. Coastal Relief Model - Southern California Version 2
2013-01-01
publication
http://dx.doi.org/10.7289/V5V985ZM
WWW:LINK-1.0-http--link
Source Citation URL
Source Citation URL
information
1930
2012