Short Citation:
OCM Partners, 2019: 2017 USGS CoNED Topobathymetric Model (1929 - 2017): Central Coast of California, https://inport.nmfs.noaa.gov/inport/item/55319.

Item Identification

Title: 2017 USGS CoNED Topobathymetric Model (1929 - 2017): Central Coast of California
Short Name: ca2017_centca_coned_m8657_metadata
Status: Completed
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 Central California Coast. High-resolution coastal elevation data is required to identify flood, hurricane, 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 onshore and offshore areas in Central California. The Central California TBDEM integrates 70 different topographic and bathymetric data sources including LiDAR point clouds, hydrographic surveys, single-beam acoustic surveys, and multi-beam acoustic surveys obtained from USGS, NOAA, and USACE. 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 Point Conception to the Golden Gate Bridge, and extending offshore to a depth of at least 15 meters. The overall temporal range of the input topography and bathymetry is 1929 to 2017. The topography surveys are from 2008-2015. The majority of the bathymetry is from 1996-2011. Some of the nearshore void zone (not covered by lidar or multibeam) was filled with NOS surveys dating back as far as 1929.

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, the California Coast Region, the Pacific Northwest, and the North Slope of Alaska. CoNED Project topobathymetric digital elevation models (TBDEM) 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. USGS Gesch, Dean B., 2007, The National Elevation Dataset chap. 4 of Maune, D., ed., Digital elevation model technologies and applications-the DEM users manual, (2d ed.): Bethesda, Md., American Society for Photogrammetry and Remote Sensing, p. 99-118. 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/

Supplemental Information:

The data obtained through ScienceBase at https://www.sciencebase.gov/catalog/item/5a0f4d71e4b09af898d09ac4 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
Global Change Master Directory (GCMD) Science Keywords elevation
Global Change Master Directory (GCMD) Science Keywords Models/Analyses > DEM > Digital Elevation Model
ISO 19115 Topic Category location
None 3D Elevation Program
None 3DEP
None Acoustic Sonar
None Bathymetric
None Bathymetry
None Coastal Marine and Geology Program
None Coastal National Elevation Database
None Coastal Zone
None CoNED
None DEM
None Digital Elevation Model
None Digital Terrain Model
None Flood Inundation Modeling
None Hydrologic Modeling
None LiDAR
None Light Detection and Ranging
None National Standards for Spatial Digital Accuracy
None Topobathy
None Topobathymetric
None U.S. Geological Survey
None USGS

Spatial Keywords

Thesaurus Keyword
Geographic Names Information System Central Coastal California
Geographic Names Information System County of Monterey
Geographic Names Information System County of San Francisco
Geographic Names Information System County of San Luis Obispo
Geographic Names Information System County of San Mateo
Geographic Names Information System County of Santa Barbara
Geographic Names Information System County of Santa Cruz
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 > Seafloor
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
None U.S. Coastline

Instrument Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Instrument Keywords Earth Remote Sensing Instruments > Active Remote Sensing > Profilers/Sounders > Lidar/Laser Sounders > LIDAR > Light Detection and Ranging

Platform Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Platform Keywords Aircraft > Aircraft

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 Set Publication Status: Published
Data Set Publication Date: 2018-02-08
Data Presentation Form: Model (digital)
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 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. Poppenga, S.K. Gesch, D.B. U.S. Geological Survey (USGS)

Support Roles

Data Steward

CC ID: 810175
Date Effective From: 2018-12-19
Date Effective To:
Contact (Person): Coastal Management, NOAA Office for
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202

Distributor

CC ID: 810176
Date Effective From: 2018-12-19
Date Effective To:
Contact (Person): Coastal Management, NOAA Office for
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202

Metadata Contact

CC ID: 810177
Date Effective From: 2018-12-19
Date Effective To:
Contact (Person): Coastal Management, NOAA Office for
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202

Point of Contact

CC ID: 810178
Date Effective From: 2018-12-19
Date Effective To:
Contact (Person): Coastal Management, NOAA Office for
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202

Extents

Currentness Reference: Ground Condition

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 810181
W° Bound: -122.659408871
E° Bound: -120.365031678
N° Bound: 37.825935011
S° Bound: 34.395174806

Extent Group 1 / Time Frame 1

CC ID: 810180
Time Frame Type: Range
Start: 1929-01-01
End: 2017-05-29

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: 810182
Start Date: 2018-12-19
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8657
Distributor: NOAA Office for Coastal Management (2018-12-19 - 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.

Compression: Zip

Distribution 2

CC ID: 810183
Start Date: 2018-12-19
End Date: Present
Download URL: https://coast.noaa.gov/htdata/raster2/elevation/CA_Central_CoNED_DEM_2017_8657
Distributor: NOAA Office for Coastal Management (2018-12-19 - Present)
File Name: Bulk Download
Description:

Bulk download of data files in the original coordinate system.

URLs

URL 1

CC ID: 810170
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: 810171
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: 810172
URL: https://coast.noaa.gov/htdata/raster2/elevation/CA_Central_CoNED_DEM_2017_8657/ca2017_central_coned_m8657.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: 810230
URL: https://coast.noaa.gov/htdata/raster2/elevation/CA_Central_CoNED_DEM_2017_8657/CentCA_Topobathy_DEM_Spatial_Metadata_GDB.zip
URL Type:
Online Resource
Description:

Link to the spatial metadata gdb zip file.

Technical Environment

Description:

Environment as of Metadata Creation: Microsoft [Unknown] Version 6.2 (Build 9200) ; Esri ArcGIS 10.5 (Build 6491) Service Pack N/A (Build N/A)

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 0.316 meters versus 35 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

2013 NOAA Coastal California TopoBathy Merge Project

CC ID: 810157
Contact Name: OCM Partners (OCMP)
Publish Date: 2013-10-30
Extent Type: Range
Extent Start Date/Time: 2008
Extent End Date/Time: 2009
Citation URL: https://inport.nmfs.noaa.gov/inport/item/49649
Source Contribution:

Topographic, bathymetric, and acoustic elevation data along the entire California coastline.

2014 USACE NCMP Topobathy Lidar: California

CC ID: 810158
Contact Name: NOAA Data Access Viewer - NOAA Office for Coastal Management (OCM)
Publish Date: 2016-11-18
Extent Type: Range
Extent Start Date/Time: 2014-09-08
Extent End Date/Time: 2014-10-05
Citation URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=4912
Source Contribution:

Data coverage generally extends along the coastline from the waterline to 1,000 meters offshore or to laser depth extinction.

2015 USACE NCMP Topobathy Lidar: California

CC ID: 810159
Contact Name: NOAA Data Access Viewer - NOAA Office for Coastal Management (OCM)
Publish Date: 2017-01-01
Extent Type: Discrete
Extent Start Date/Time: 2015
Source Contribution:

Intermittent coverage (as determined by areas provided in pre-release request) between Point Sal and San Simeon Beach State Park. Only the bathymetric content of the dataset was included.

Beach topography and nearshore bathymetry of northern Monterey Bay, California

CC ID: 810164
Contact Name: Andrew Stevens Joshua B. Logan Alexander G Snyder Daniel J Hoover Patrick Barnard Jonathan Warrick
Publish Date: 2017-01-01
Extent Type: Range
Extent Start Date/Time: 2015-09-28
Extent End Date/Time: 2015-10-01
Citation URL: https://doi.org/10.5066/f76h4gcw https://www.sciencebase.gov/catalog/item/59cadcffe4b017cf314095a7
Source Contribution:

The coverage of this dataset is limited to the nearshore areas of northern Monterey Bay.

Big Sur Mud Creek Landslide Topographic Lidar 2017

CC ID: 810163
Contact Name: Mike McCalligan at Caltrans
Publish Date: 2017-12-21
Extent Type: Discrete
Extent Start Date/Time: 2017-05-28
Source Contribution:

A subset of the project was used in the immediate area surrounding the Mud Creek landslide on May 20, 2017.

NOAA Bathymetry in raster (BAG) format

CC ID: 810160
Contact Name: NOAA/NCEI
Publish Date: 2011-01-01
Extent Type: Range
Extent Start Date/Time: 2009
Extent End Date/Time: 2011
Citation URL: https://maps.ngdc.noaa.gov/viewers/bathymetry/
Source Contribution:

North of Daly City where the 2013 NOAA Coastal California TopoBathy Merge Project does not exist, and Santa Cruz Harbor. Bathymetric Attributed Grids (BAGS) F00600 (2011), H12112 (2009), and H12113 (2009). Resolution varies from 50 cm to 4 m.

NOS Hydrographic Survey Collection

CC ID: 810161
Contact Name: NOAA NOS
Publish Date: 2009-01-01
Extent Type: Range
Extent Start Date/Time: 1929
Extent End Date/Time: 2009
Citation URL: https://maps.ngdc.noaa.gov/viewers/bathymetry/
Source Contribution:

The NOS Hydrographic Surveys were used in areas not covered by other bathymetry, primarily in the nearshore void zone. D00110, F00280, F00306, F00389, F00424, F00438, F00454, H03311, H03343, H04018, H04019, H05197, H05198, H05199, H05228, H05229, H05237, H05295, H05327, H05328, H05329, H05374, H05403, H05416, H05432, H05469, H05501, H05531, H05674, H05703, H05715, H05770, H06359, H06360, H06361, H06366, H06367, H06368, H06369, H06370, H06371, H06372, H06373, H06374, H06375, H06376, H06597, H06598, H06599, H06600, H06601, H06602, H06603, H06604, H06605, H06683, H06775, H06776, H06779, H06876, H06877, H06878, H06949, H06950, H06951, H06952, H06953, H06954, H06955, H06956, H06958, H06966, H06996, H06997, H06998, H07001, H07002, H07003, H07009, H07010, H07011, H07021, H07022, H07025, H07027, H07032, H07043, H07047, H07064, H07065, H07075, H07083, H07087, H07091, H07092, H07093, H07094, H07154, H07155, H07156, H07157, H07160, H07174, H07181, H07184, H07610, H07611, H07612, H07641, H07642, H07680, H07714, H07778, H07779, H07780, H07781, H07782, H07879, H07880, H07881, H07882, H07883, H07884, H07885, H07886, H07887, H07942, H07943, H07944, H07945, H07946, H07952, H08069, H08080, H08081, H08082, H08083, H08185, H08186, H08187, H08188, H08189, H08190, H08191, H08276, H08277, H08278, H08279, H08280, H08283, H08347, H08405, H08406, H08407, H08408, H08435, H08445, H08446, H08447, H08448, H08494, H08495, H08496, H08507, H08522, H08547, H08548, H08549, H08550, H08551, H08552, H08553, H08610, H08611, H08612, H08613, H08614, H08702, H08703, H08704, H08705, H08706, H08859, H08860, H09280, H09292, H09301, H09321, H09322, H09324, H09349, H09380, H09453, H09454, H09477, H09478, H09479, H09488, H09562, H09563, H09564, H09565, H09566, H09581, H09582, H09643, H09826, H10034, H10193, H10195, H10212, H10518, H10529, H10622, H10632, H10652, H10688, H10691, H10703, H10752, H10757, H10790, H10823, H10859, H10905, T00813, T00814, T00815

Ocean Beach PWC Transects

CC ID: 810165
Contact Name: Dan Hoover, USGS PCMSC
Extent Type: Discrete
Extent Start Date/Time: 2014-10-07
Source Contribution:

The coverage of this dataset is limited to Ocean Beach, California.

Pillar Point Harbor 2009 Digital Terrain Model

CC ID: 810162
Contact Name: USACE
Publish Date: 2017-01-01
Extent Type: Discrete
Extent Start Date/Time: 2009
Source Contribution:

Pillar Point Harbor

Process Steps

Process Step 1

CC ID: 810166
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: 2017-09-29 00:00:00

Process Step 2

CC ID: 810167
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: 2017-09-29 00:00:00

Process Step 3

CC ID: 810168
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: 2017-09-29 00:00:00

Process Step 4

CC ID: 810231
Description:

The NOAA Office for Coastal Management (OCM) received two (north and south) Digital Elevation Model (DEM) files from USGS. The data were in UTM Zone 10 (NAD83) coordinates and NAVD88 (Geoid09) 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 two large DEM files into smaller files using Global Mapper.

2. Copied the files to https

Process Date/Time: 2018-12-19 00:00:00
Process Contact: Office for Coastal Management (OCM)

Catalog Details

Catalog Item ID: 55319
Metadata Record Created By: Rebecca Mataosky
Metadata Record Created: 2018-12-19 14:16+0000
Metadata Record Last Modified By: Rebecca Mataosky
Metadata Record Last Modified: 2019-01-18 13:40+0000
Metadata Record Published: 2018-12-19
Owner Org: OCMP
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Next Review Date: 2019-12-20