CoNED Topobathymetric Model for New Jersey and Delaware, 1880 to 2014

Metadata also available as

Metadata:


Identification_Information:
Dataset_Identifier: gov.noaa.nmfs.inport:49467
Citation:
Citation_Information:
Originator:
Publication_Date: 20180210
Title:
CoNED Topobathymetric Model for New Jersey and Delaware, 1880 to 2014
Geospatial_Data_Presentation_Form: Map (digital)
Online_Linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=5040
Online_Linkage: http://nationalmap.gov/viewer.html
Online_Linkage: http://earthexplorer.usgs.gov
Online_Linkage:
https://coast.noaa.gov/htdata/raster2/elevation/NewJersey_Delaware_CoNED_Topobathy_DEM_2015_5040
Description:
Abstract:
This data set has been cut into 2 tiles of size 12152 columns and 20000 rows and may have been mosaiced, reprojected, and clipped from the original tiles. The data set was generated from a larger data set and includes all valid data within the requested geographic bounds. Hurricane Sandy was the deadliest and most destructive hurricane of the 2012 Atlantic hurricane season, and the second-costliest with an estimated $71.4 billion (2013 USD). Hurricane Sandy affected 24 states, including the entire eastern seaboard with particularly severe damage in New Jersey and New York. In response to the storm, the U.S. Geological Survey (USGS) Coastal and Marine Geology Program in collaboration with the USGS National Geospatial Program (NGP), and National Oceanic and Atmospheric Administration (NOAA) developed a three-dimensional (3D) 1-meter topobathymetric elevation models (TBDEMs) for the New Jersey/Delaware sub-region including the Delaware Estuary and adjacent coastline. As part of the TBDEM, hydrologically-enforced data was included to eliminate mapping-artifact drainage impediments at select regions along the Delaware River. 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 New Jersey and Delaware coastal areas.The New Jersey / Delaware TBDEM integrates over 89 different data sources including topographic and bathymetric LiDAR point clouds, hydrographic surveys, side-scan sonar surveys, and multi-beam surveys obtained from USGS, NOAA, the U.S. Army Corps of Engineers (USACE), Federal Emergency Management Agency (FEMA), and other state and local agencies. The LiDAR and bathymetry 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 is typically referenced to tidal referenced 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 and includes the entire states of Delaware and New Jersey with subareas from other neighboring states. The temporal range of the input topography and bathymetry is 1880 to 2014. Original contact information: Contact Name: Jeffrey Danielson / Dean Tyler * Contact Org: U.S. Geological Survey Title: Physical Geographer Phone: 605-594-6148 / 605-594-2624 * Email: daniels@usgs.gov / dtyler@usgs.gov *
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 San Francisco Bay Region, the Pacific Northwest, and the North Slope of Alaska. CoNED Project topobathymetric 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 shapefile that contains footprints for each of the source input areas. The National Map provides basic elevation information for earth science studies and mapping applications in the United States. The data are utilized by the scientific and resource management communities for global change research, hydrologic modeling, resource monitoring, and mapping and visualization applications. References: USGS Gesch, D.B., 2007, The National Elevation Dataset, in Maune, D., ed., Digital Elevation Model Technologies and Applications: The DEM Users Manual, 2nd Edition, in Digital Elevation Model Technologies and Applications: The DEM Users Manual, 2nd Edition, Bethesda, Maryland, 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. Pendleton, E.A., Ackerman, S.D., Baldwin, W.E., Danforth, W.W., Foster, D.S., Thieler, E.R., and Brothers, L.L. 2015, High-resolution geophysical data collected along the Delmarva Peninsula, 2014, USGS Field Activity 2014-002-FA (ver. 2.0, March 2015): U.S. Geological Survey data release. U.S. Geological Survey, 2015, 5-meter bathymetric data collected in 2014 by the U.S. Geological Survey along the Delmarva Peninsula, MD and VA (32-bit GeoTIFF, UTM Zone 18N, WGS 84): data release DOI:10.5066/F7MW2F60, U.S. Geological Survey, Coastal and Marine Geology Program, Woods Hole Coastal and Marine Science Center, Woods Hole, MA. High-resolution geophysical data collected along the Delmarva Peninsula 2014, U.S. Geological Survey Field Activity 2014-002-FA - Suggested Citation: Pendleton, E.A., Ackerman, S.D., Baldwin, W.E., Danforth, W.W., Foster, D.S., Thieler, E.R., and Brothers, L.L. 2015, High-resolution geophysical data collected along the Delmarva Peninsula, 2014, USGS Field Activity 2014-002-FA (ver. 2.0, March 2015): U.S. Geological Survey data release. EAARL Wright, C.W., Troche, R.J., Klipp, E.S., Kranenburg, C.J., Fredericks, Xan, and Nagle, D.B., 2014, EAARL-B submerged topography-Barnegat Bay, New Jersey, pre-Hurricane Sandy, 2012: U.S. Geological Survey Data Series 885, http://dx.doi.org/10.3133/ds885.
Supplemental_Information:
The data obtained through Earth Explorer, http://earthexplorer.usgs.gov, and The National Map Viewer, http://nationalmap.gov/viewer.html, is 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 see Data Quality Section, Processing Step, Contact Information.
Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 1880
Ending_Date: 20140701
Currentness_Reference: Ground Condition
Status:
Progress: Complete
Maintenance_and_Update_Frequency: As Needed
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -75.06202698
East_Bounding_Coordinate: -74.92126465
North_Bounding_Coordinate: 39.3979996
South_Bounding_Coordinate: 39.21469931
Keywords:
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: 3D Elevation Program
Theme_Keyword: 3DEP
Theme_Keyword: 3DEP-Coastal Zone
Theme_Keyword: 3DEP-CZ
Theme_Keyword: Acoustic Sonar
Theme_Keyword: American Society of Photogrammetry and Remote Sensing
Theme_Keyword: Bathymetric
Theme_Keyword: Bathymetry
Theme_Keyword: Bathymetry/Topography
Theme_Keyword: CMGP
Theme_Keyword: Coastal Marine and Geology Program
Theme_Keyword: Coastal National Elevation Database
Theme_Keyword: Coastal Zone
Theme_Keyword: CoNED
Theme_Keyword: CZ
Theme_Keyword: DEM
Theme_Keyword: Digital Elevation Model
Theme_Keyword: Digital Terrain Model
Theme_Keyword: DTM
Theme_Keyword: Hydrologic
Theme_Keyword: Hydrologic Modeling
Theme_Keyword: LiDAR
Theme_Keyword: Light Detection and Ranging
Theme_Keyword: National Standards for Spatial Digital Accuracy
Theme_Keyword: Topobathy
Theme_Keyword: Topobathymetric
Theme_Keyword: U.S. Geological Survey
Theme_Keyword: USGS
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: elevation
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Category
Theme_Keyword: 013
Theme_Keyword: Base Maps
Theme_Keyword: Earth Cover
Theme_Keyword: imagery
Theme_Keyword: location
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Place_Keyword: DE
Place_Keyword: NJ
Place_Keyword: NY
Place_Keyword: PA
Access_Constraints:
Any acquisition or use of these data signifies a user's agreement to comprehension and compliance of the USGS Standard Disclaimer. Ensure all portions of metadata are read and clearly understood before using these data in order to protect both user and USGS interests.
Use_Constraints:
There is no guarantee or warranty concerning the accuracy of the data. Users should be aware that temporal changes may have occurred since these data were collected and that some parts of these data may no longer represent actual surface conditions. Users should not use these data for critical applications without a full awareness of its limitations. These data should not be used for navigation purposes. Acknowledgement of the originating agencies would be appreciated in products derived from these data. Any user who modifies the data is obligated to describe the types of modifications they perform. User specifically agrees not to misrepresent the data, nor to imply that changes made were approved or endorsed by the USGS. Please refer to http://www.usgs.gov/privacy.html for the USGS disclaimer.
Point_of_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Coastal Management, NOAA Office for
Contact_Organization: Office for Coastal Management
Contact_Address:
Address_Type: mailing
Address: 2234 South Hobson Ave
City: Charleston
State_or_Province: SC
Postal_Code: 29405-2413
Contact_Voice_Telephone: (843) 740-1202
Contact_Electronic_Mail_Address: coastal.info@noaa.gov
Data_Set_Credit:
Please refer to the Data Quality Section, Source Citations for original source data information.
Security_Information:
Security_Classification_System: None
Security_Classification: Unclassified
Security_Handling_Description: None
Native_Data_Set_Environment:
Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.3.1.4959

Data_Quality_Information:
Logical_Consistency_Report: Visual inspection
Completeness_Report: Visual inspection
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator: Office for Coastal Management
Publication_Date:
Title: 2006 FEMA New Jersey Flood Mitigation Lidar: Highlands Area
Online_Linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=553
Type_of_Source_Media:
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20061110
Ending_Date: 20070208
Source_Citation_Abbreviation: src664291
Source_Information:
Source_Citation:
Citation_Information:
Originator: Office for Coastal Management
Publication_Date:
Title:
2011 NOAA National Geodetic Survey (NGS) Lidar: Fire Island, NY and Cape May to Absecon Inlet, NJ
Online_Linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=1170
Type_of_Source_Media:
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20110716
Ending_Date: 20111125
Source_Citation_Abbreviation: src664293
Source_Information:
Source_Citation:
Citation_Information:
Originator: USGS/NOAA
Publication_Date:
Title:
2012-2013 Post-Hurricane Sandy EAARL-B Submerged Topography - Barnegat Bay, New Jersey
Online_Linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=4730
Type_of_Source_Media:
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20121101
Ending_Date: 20130110
Source_Citation_Abbreviation: src664283
Source_Information:
Source_Citation:
Citation_Information:
Originator:
USGS, National Geospatial Program Office (NGP), Customer Service Representative
Publication_Date:
Title:
3 Bare Earth DEMs (3D) Elevation Program (3DEP) Data Sets - 1932 - 2014
Online_Linkage: http://nationalmap.gov/viewer.html
Type_of_Source_Media:
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 1932
Ending_Date: 2014
Source_Citation_Abbreviation: src664289
Source_Information:
Source_Citation:
Citation_Information:
Originator: USGS - Woods Hole, MA
Publication_Date: 20180210
Title: 5-meter bathymetric data
Online_Linkage:
http://woodshole.er.usgs.gov/field-activity-data/2014-002-FA/bathy/2014-002-FA_bathy.zip
Type_of_Source_Media:
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Time_Period_Information:
Single_Date/Time:
Calendar_Date:
Source_Citation_Abbreviation: src664288
Source_Information:
Source_Citation:
Citation_Information:
Originator:
National Geophysical Data Center, NESDIS, NOAA, U.S. Department of Commerce
Publication_Date: 20180210
Title:
Atlantic City, NJ 1/3 Arc-Second MHW DEM, 1932-2007 - 90-meter topobathymetric data
Online_Linkage: http://www.ngdc.noaa.gov/dem/squareCellGrid/download/595
Type_of_Source_Media:
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Source_Citation_Abbreviation: src664287
Source_Information:
Source_Citation:
Citation_Information:
Originator:
National Geophysical Data Center, NESDIS, NOAA, U.S. Department of Commerce
Publication_Date:
Title:
Bathymetric-Topographic Digital Elevation Models for the U.S. Mid-Atlantic Coast impacted by Hurricane Sandy (1/9 arc-second)
Online_Linkage: http://www.ngdc.noaa.gov/mgg/inundation/sandy/data/tiles/
Type_of_Source_Media:
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Source_Citation_Abbreviation: src664290
Source_Information:
Source_Citation:
Citation_Information:
Originator: USGS
Publication_Date:
Title:
EAARL Coastal Topography-Sandy Hook Unit, Gateway National Recreation Area, New Jersey, Post-Nor'Ida, 2009
Online_Linkage: http://pubs.er.usgs.gov/publication/ds557
Type_of_Source_Media:
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Single_Date/Time:
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Source_Citation_Abbreviation: src664286
Source_Information:
Source_Citation:
Citation_Information:
Originator:
Office of Coast Survey, National Ocean Service, NOAA, U.S. Department of Commerce, Hydrographic Services Division, IT Specialist
Publication_Date:
Title: H07887 - Upper Nanticoke Riv., Maryland
Type_of_Source_Media:
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Time_Period_Information:
Single_Date/Time:
Calendar_Date:
Source_Citation_Abbreviation: src664285
Source_Information:
Source_Citation:
Citation_Information:
Originator: USGS/NOAA
Publication_Date: 20180210
Title: NJNY_Gateway_2009Jul_USGS_1m
Online_Linkage: http://pubs.er.usgs.gov/publication/ds525
Type_of_Source_Media:
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date:
Source_Citation_Abbreviation: src664292
Source_Information:
Source_Citation:
Citation_Information:
Originator:
National Geophysical Data Center, NESDIS, NOAA, U.S. Department of Commerce
Publication_Date: 20180210
Title:
Ocean City, VA/MD/DE, 1/3 Arc-Second MHW DEM, 1880 to 2009 - 90-meter topobathymetric data
Online_Linkage: http://www.ngdc.noaa.gov/dem/squareCellGrid/download/381
Type_of_Source_Media:
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 1880
Ending_Date: 20091231
Source_Citation_Abbreviation: src664284
Process_Step:
Process_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. 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 3-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).
Time_of_Day: 000000
Process_Step:
Process_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.
Time_of_Day: 000000
Process_Step:
Process_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 3 meters 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.).
Time_of_Day: 000000
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Jeffrey Danielson / Dean Tyler *: U.S. Geological Survey
Contact_Address:
Contact_Voice_Telephone:
Process_Step:
Process_Description:
Data were received from USGS by NOAA and ingested into the Digital Coast system for download via custom processing and http. Metadata was modified to reflect distribution through this mechanism.
Time_of_Day: 000000
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: NOAA Office for Coastal Management
Contact_Address:
Contact_Voice_Telephone:
Contact_Electronic_Mail_Address: coastal.info@noaa.gov
Process_Step:
Process_Description:
The dataset has been mosaiced, reprojected, and clipped as needed from the original input files using the gdalwarp command (version GDAL 2.2.0, released 2017/04/28). Gdalwarp options included -t_srs EPSG:26918 -of GTiff -co COMPRESS=LZW -co TILED=YES -co BIGTIFF=IF_SAFER -co TFW=YES -mo TIFFTAG_SOFTWARE='Digital Coast Data Access Viewer' -r BILINEAR.
Process_Date: 20180210

Entity_and_Attribute_Information:
Overview_Description:
Entity_and_Attribute_Overview:
This collection of high-resolution coastal elevation data is available in a user-friendly Georeferenced Tagged Image File Format (GeoTIFF). The elevation model has floating point numeric values. Areas where data is incomplete due to lack of full image coverage or NoData are represented with the numeric value of -3.40282346639e+038. Spatially referenced metadata are contained within an ESRI vector shapefile that contains footprints with accompanying attribute fields for each of the source input areas.
Entity_and_Attribute_Detail_Citation: None

Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Planar:
Grid_Coordinate_System:
Grid_Coordinate_System_Name: Universal Transverse Mercator
Universal_Transverse_Mercator:
UTM_Zone_Number: 18
Planar_Coordinate_Information:
Planar_Coordinate_Encoding_Method: coordinate pair
Coordinate_Representation:
Abscissa_Resolution: 1
Ordinate_Resolution: 1
Planar_Distance_Units: meters
Geodetic_Model:
Horizontal_Datum_Name: North American Datum of 1983
Ellipsoid_Name: Geodetic Reference System 80
Semi-major_Axis: 6378137
Denominator_of_Flattening_Ratio: 298.257

Distribution_Information:
Distributor:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Coastal Management, NOAA Office for
Contact_Organization: Office for Coastal Management
Contact_Address:
Address_Type: mailing
Address: 2234 South Hobson Ave
City: Charleston
State_or_Province: SC
Postal_Code: 29405-2413
Contact_Voice_Telephone: (843) 740-1202
Contact_Electronic_Mail_Address: coastal.info@noaa.gov
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, the Office for Coastal Management or its partners.

Metadata_Reference_Information:
Metadata_Date: 20180208
Metadata_Future_Review_Date: 20190209
Metadata_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Coastal Management, NOAA Office for
Contact_Organization: Office for Coastal Management
Contact_Address:
Address_Type: mailing
Address: 2234 South Hobson Ave
City: Charleston
State_or_Province: SC
Postal_Code: 29405-2413
Contact_Voice_Telephone: (843) 740-1202
Contact_Electronic_Mail_Address: coastal.info@noaa.gov
Metadata_Standard_Name:
Content Standard for Digital Geospatial Metadata: Extensions for Remote Sensing Metadata
Metadata_Standard_Version: FGDC-STD-012-2002
Metadata_Use_Constraints:
Disclaimer - While every effort has been made to ensure that these data are accurate and reliable within the limits of the current state of the art, NOAA cannot assume liability for any damages caused by any errors or omissions in the data, nor as a result of the failure of the data to function on a particular system. NOAA makes no warranty, expressed or implied, nor does the fact of distribution constitute such a warranty.

Generated by mp version 2.9.32 on Sat Feb 10 14:13:15 2018