Jeffrey Danielson / Dean Tyler *, U.S. Geological Survey, Physical Geographer
20151201
Topobathymetric Model for New Jersey and Delaware, 1880 to 2014
First
raster digital data
Topobathymetric Model, 1880 to 2014
0.1
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.
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.
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.
18800101
20140701
ground condition
As needed
-76.161454
-73.727340
41.202519
38.442389
None
American Society of Photogrammetry and Remote Sensing
National Standards for Spatial Digital Accuracy
None
DTM
USGS
3DEP-Coastal Zone
Bathymetry
Acoustic Sonar
CMGP
Digital Elevation Model
Bathymetric
3D Elevation Program
Hydrologic Modeling
3DEP
Light Detection and Ranging
CoNED
3DEP-CZ
LiDAR
Topobathy
U.S. Geological Survey
Hydrologic
Coastal National Elevation Database
Topobathymetric
CZ
Digital Terrain Model
Coastal Marine and Geology Program
DEM
Coastal Zone
ISO 19115 Category
imagery
Base Maps
Earth Cover
location
013
Geographic Names Information System
Highland Park
Brown Mills
Holiday City-Berkeley
County of Bucks
King of Prussia
Hoboken
Little Falls
County of Morris
Glen Rock
Bristol
Montclair
Nutley
Queens
New Brunswick
Totowa
Pine Creek
County of Atlantic
New Providence
Plainfield
Ringwood
Brigantine
Belleville
West Caldwell
County of Richmond
Nether Providence Township
Millville
Drexel Hill
Richmond
Millburn
County of Queens
Horsham
Oakland
Lincoln Park
Wyckoff
Yeadon
North Bergen
Maplewood
West Orange
Parsippany-Troy Hills Township
South Plainfield
Middlesex
Chester
East Brunswick
County of Warren
Pottstown
Woodbury
County of Sussex
Paterson
Phillipsburg
Glassboro
County of Cape May
Bloomfield
Dumont
Bronx
County of Cumberland
Berkeley Heights
Hopatcong
State of New Jersey
Elizabeth
Hillside
Avenel
Tinton Falls
Radnor Township
Cliffside Park
Scotch Plains
Keansburg
County of Delaware
North Plainfield
Hammonton
Perth Amboy
Darby
Verona
West Paterson
Woodbridge
County of New Castle
Jersey City
Red Bank
Ardmore
Manville
Phoenixville
County of Monmouth
Englewood
Eatontown
Fort Dix
Union
County of Philadelphia
Rahway
Wallington
Pompton Lakes
Lansdowne
Hackensack
Point Pleasant
West Chester
Wayne
Harrison
Lyndhurst
County of Hunterdon
Newark
Norristown
Brommall
Succasunna-Kenvil
County of Gloucester
Willingboro
Bergenfield
Rutherford
Paramus
Camden
County of Mercer
Wilmington
Pennsville
Ewing
Kings
Madison
State of New York
Somers Point
Edison
River Edge
Springfield
Garfield
Princeton
Brick Township
Secaucus
Livingston
Mount Holly
County of Passaic
Iselin
Lakewood
Fort Lee
County of Salem
Williamstown
County of Somerset
Lansdale
West Freehold
Willow Grove
County of Bronx
Summit
Long Branch
Clifton
Brookside
County of Middlesex
Gloucester City
Hanover Township
County of Ocean
Somerset
Fairview
Kearny
Maple Shade
Ridgewood
Fair Lawn
Colonia
Philadelphia
Somerville
State of Pennsylvania
West New York
New York
Collingswood
County of Montgomery
Trenton
Hawthorne
Carteret
Leisure Village West-Pine Lake Park
County of Burlington
Cedar Grove
New Milford
Orange
Westwood
Union City
Metuchen
State of Delaware
Hasbrouck Heights
County of Hudson
Bayonne
County of Essex
Haddonfield
South Orange
County of Kings
North Brunswick Township
Bellmawr
Roselle Park
Moorestown-Lenola
Asbury Park
Vineland
West Norriton
Teaneck
County of Camden
County of Chester
Cinnaminson
Pennsauken
Westfield
Woodlyn
Tenafly
Cranford
Ocean City
Pequannock Township
Weehawken
Levittown
Passaic
County of Bergen
Dover
Irvington
Atlantic City
Morristown
Marlton
County of New York
Sayreville
Old Bridge
County of Kent
Ventnor City
Lodi
Pleasantville
Coatesville
Bridgeton
Clark
Freehold
County of Union
Ramsey
Elmwood Park
South River
Cherry Hill
East Orange
West Milford
Linden
Mercerville-Hamilton Square
Roselle
Darby Township
Lindenwold
East Norriton
Fords
Saddle Brook
Palisades Park
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 Institute of Standards and Technology
NY
NJ
PA
DE
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
United States
U.S.
US
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.
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.
U.S. Geological Survey
Jeffrey Danielson / Dean Tyler *
Physical Geographer
mailing and physical
USGS Earth Resources Observation & Science (EROS) Center
Science and Applications Branch
47914 252nd Street
Sioux Falls
SD
57198-0001
US
605-594-6148 / 605-594-2624 *
605-594-6589
daniels@usgs.gov / dtyler@usgs.gov *
0800 - 1600 CT, M - F (-6h CST/-5h CDT GMT)
Please refer to the Data Quality Section, Source Citations for original source data information.
None
Unclassified
None
Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.3.1.4959
The horizontal accuracy for the integrated topobathymetric model was not assessed quantitatively.
The horizontal accuracy for the integrated topobathymetric model was not assessed quantitatively.
The vertical accuracy of the input topographic data varies depending on the input source. Because the input elevation data were derived primarily from LiDAR, the vertical accuracy ranges from 15 to 20 centimeters in root mean square error (RMSE). The vertical accuracy for the integrated topobathymetric model was not assessed quantitatively.
The vertical accuracy of the input topographic data varies depending on the input source. Because the input elevation data were derived primarily from LiDAR, the vertical accuracy ranges from 15 to 20 centimeters in root mean square error (RMSE). The vertical accuracy for the integrated topobathymetric model was not assessed quantitatively.
USGS/NOAA
2012-2013 Post-Hurricane Sandy EAARL-B Submerged Topography - Barnegat Bay, New Jersey
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.
https://www.coast.noaa.gov/dataviewer/index.html?action=advsearch&qType=in&qFld=ID&qVal=4730#
onLine
EAARL-B submerged topography: Barnegat Bay, New Jersey, pre-Hurricane Sandy, 2012
These remotely sensed, geographically referenced elevation measurements of lidar-derived submerged topography datasets were produced by the U.S. Geological Survey (USGS), St. Petersburg Coastal and Marine Science Center, St. Petersburg, Florida.
National Geophysical Data Center, NESDIS, NOAA, U.S. Department of Commerce
20090101
unknown
Ocean City, VA/MD/DE, 1/3 Arc-Second MHW DEM, 1880 to 2009 - 90-meter topobathymetric data
raster digital data
NOAA Tsunami Inundation Gridding Project
Data Release
National Geophysical Data Center, NESDIS, NOAA, U.S. Department of Commerce , Boulder , CO, 80305-3328 , US
Developed for the Pacific Marine Environmental Laboratory (PMEL), NOAA Center for Tsunami Research program in support of NOAAs tsunami forecasting and warning efforts.
Grothe, P.R., L.A. Taylor, B.W. Eakins, R.R. Warnken, K.S. Carignan, E. Lim, R.J. Caldwell, and D.Z. Friday, 2010. Digital Elevation Model of Ocean City, Maryland: Procedures, Data Sources and Analysis, NOAA Technical Memorandum NESDIS NGDC-37, Dept. of Commerce, Boulder, CO, 37 pp.
http://www.ngdc.noaa.gov/dem/squareCellGrid/download/381
0
onLine
Ocean City, VA/MD/DE, 1/3 Arc-Second MHW DEM, 1880 to 2009 - 90-meter topobathymetric data
Developed for the Pacific Marine Environmental Laboratory (PMEL), NOAA Center for Tsunami Research program in support of NOAAs tsunami forecasting and warning efforts.
Office of Coast Survey, National Ocean Service, NOAA, U.S. Department of Commerce, Hydrographic Services Division, IT Specialist
H07887 - Upper Nanticoke Riv., Maryland
Hydrographic Surveys Division, Office of Coast Survey, National Ocean Service, NOAA, U.S. Department of Commerce (HSD/OCS/NOS/NOAA/USDOC)
onLine
H07887: NOS Hydrographic Survey , 1950-12-31
These hydrographic data are made available to the public for a wide variety of uses, such as sea-bottom characterization, habitat classification, coastal studies, boundary issues, and tsunami forecasting. These data are not intended to be used for navigation. Nautical charts produced and certified by NOAA should be used for navigation purposes. 1950
EAARL Coastal Topography-Sandy Hook Unit, Gateway National Recreation Area, New Jersey, Post-Nor'Ida, 2009
Nayegandhi, Amar, Vivekanandan, Saisudha, Brock, J.C., Wright, C.W., Bonisteel-Cormier, J.M., Nagle, D.B., Klipp, E.S., and Stevens, Sara, 2010, EAARL coastal topography–Sandy Hook Unit, Post-Nor'Ida, 2009: U.S. Geological Survey Data Series 557, 1 DVD.
http://pubs.er.usgs.gov/publication/ds557
0
dvd
NJ_SandyHook_2009Dec_USGS_1m
These remotely sensed, geographically referenced elevation measurements of lidar-derived bare-earth (BE) and first-surface (FS) topography datasets were produced collaboratively by the U.S. Geological Survey (USGS), St. Petersburg Coastal and Marine Science Center, St. Petersburg, FL, and the National Park Service (NPS), Northeast Coastal and Barrier Network, Kingston, RI. This project provides highly detailed and accurate datasets of a portion of the Sandy Hook Unit of Gateway National Recreation Area in New Jersey, acquired post-Nor'Ida (November 2009 nor'easter) on December 4, 2009.
National Geophysical Data Center, NESDIS, NOAA, U.S. Department of Commerce
20070101
unknown
Atlantic City, NJ 1/3 Arc-Second MHW DEM, 1932-2007 - 90-meter topobathymetric data
raster digital data
NOAA Tsunami Inundation Gridding Project
Data Release
Carignan, K.S., L.A. Taylor, B.W. Eakins, R.R. Warnken, T. Sazonova, and D.C. Schoolcraft, 2009. Digital Elevation Model of Atlantic City, New Jersey: Procedures, Data Sources and Analysis, NOAA Technical Memorandum NESDIS NGDC-18, Dept. of Commerce, Boulder, CO, 29 pp.
http://www.ngdc.noaa.gov/dem/squareCellGrid/download/595
0
onLine
Atlantic City, NJ 1/3 Arc-Second MHW DEM, 1932-2007 - 90-meter topobathymetric data
Developed for the Pacific Marine Environmental Laboratory (PMEL), NOAA Center for Tsunami Research program in support of NOAAs tsunami forecasting and warning efforts.
USGS - Woods Hole, MA
20140101
unknown
5-meter bathymetric data
raster digital data
Data Release
DOI:10.5066/F7MW2F60
Woods Hole Coastal and Marine Science Center, Woods Hole, MA
U.S. Geological Survey, Coastal and Marine Geology Program
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.
http://woodshole.er.usgs.gov/field-activity-data/2014-002-FA/bathy/2014-002-FA_bathy.zip
0
onLine
USGS - Wood Hole, MA
High-resolution geophysical data collected along the Delmarva Peninsula 2014, U.S. Geological Survey Field Activity 2014-002-FA
USGS, National Geospatial Program Office (NGP), Customer Service Representative
3 Bare Earth DEMs (3D) Elevation Program (3DEP) Data Sets - 1932 - 2014
Unknown
raster digital data
http://nationalmap.gov/viewer.html
0
onLine
3DEP
Historical and current 3 Bare-earth DEMs (3D) National Elevation Data
National Geophysical Data Center, NESDIS, NOAA, U.S. Department of Commerce
Bathymetric-Topographic Digital Elevation Models for the U.S. Mid-Atlantic Coast impacted by Hurricane Sandy (1/9 arc-second)
http://www.ngdc.noaa.gov/mgg/inundation/sandy/data/tiles/
onLine
Sandy_19_bathytopo, 2014-12-09
NOAA's National Geophysical Data Center (NGDC) is developing a suite of digital elevation models (DEMs) of the U.S. Atlantic Coast impacted by Hurricane Sandy in October 2012. The DEMs telescope from the deep ocean floor to the coastal zone in 3, 1, 1/3, and 1/9 arc-second cell sizes. Only the 1/9 arc-second DEMs integrate both bathymetric and topographic data; the remaining DEMs map bathymetry only. DEMs are tiled to enable targeted, rapid updates as new data become available. Source topographic and bathymetric data utilized for DEM creation were contributed by a variety of sources, including the NOAA Office of Coast Survey, NOAA National Geodetic Survey, NOAA Coastal Services Center, U.S. Geological Survey, and the U.S. Army Corps of Engineers. The DEMs are referenced vertically to the North American Vertical Datum of 1988. The vertical units of the data are meters. The DEMs are referenced horizontally to the North American Datum of 1983. The horizontal units of the data are decimal degrees.
Office for Coastal Management
2006 FEMA New Jersey Flood Mitigation Lidar: Highlands Area
LiDAR Check Point Survey Report, New Jersey Highlands LiDAR DAta & Mapping Project (Passaic, Sussex Bergen, Morris, Hunderdon, & Summerset Counties, New Jersey, Contract No. W912P-06-D-0507 - PSI Project # 7537-003 - Rev. Jan. 21, 2008
https://coast.noaa.gov/dataviewer/index.html?action=advsearch&qType=in&qFld=ID&qVal=553#
onLine
2006 FEMA New Jersey Flood Mitigation Lidar: Highlands Area
Light Detection and Ranging (LiDAR) data is remotely sensed high-resolution elevation data collected by an airborne collection platform. LiDAR was flown for approximately 1675 square miles in Passaic, Sussex, Bergen, Morris, Warren, Hunterdon, and Somerset Counties in New Jersey and a small part of Orange County, New York with an Root Mean Square Error (RMSE) of 18.5 centimeters vertically and 95% confidence level.
USGS/NOAA
20070101
unknown
NJNY_Gateway_2009Jul_USGS_1m
raster digital data
NOAA Tsunami Inundation Gridding Project
Data Release
National Geophysical Data Center, NESDIS, NOAA, U.S. Department of Commerce Boulder, CO
USGS-Coastal and Marine Geology Program and the National Park Service-Northeast Coastal and Barrier Network
Nayegandhi, Amar, Vivekanandan, Saisudha, Brock, J.C., Wright, C.W., Bonisteel-Cormier, J.M., Nagle, D.B., Klipp, E.S., and Stevens, Sara, 2010, EAARL coastal topography–Gateway National Recreation Area, New Jersey, U.S. Geological Survey Data Series 525, 1 DVD.
http://pubs.er.usgs.gov/publication/ds525
0
dvd
EAARL coastal topography-Gateway National Recreation Area, New Jersey and New York, 2009
This DVD contains lidar-derived bare-earth (BE) and first-surface (FS) topography GIS datasets of a portion of the Gateway National Recreation Area in New Jersey and New York. These datasets were acquired July 8-9, 2009.
Office for Coastal Management
2011 NOAA National Geodetic Survey (NGS) Lidar: Fire Island, NY and Cape May to Absecon Inlet, NJ
2011 NOAA National Geodetic Survey (NGS) Lidar: Fire Island, NY and Cape May to Absecon Inlet, NJ (data collected - July 16, 2011)
https://coast.noaa.gov/dataviewer/index.html?action=advsearch&qType=in&qFld=ID&qVal=1170#
onLine
2011 NOAA National Geodetic Survey (NGS) Lidar: Fire Island, NY and Cape May to Absecon Inlet, NJ
This data set includes lidar intensity values and encoded RGB image values. Fire Island, NY data collected on Nov 25, 2011 and the Cape May to Absecon Inlet, NJ data was collected on July 16, 2011.
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).
20140201
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.
20150201
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.).
20150201
U.S. Geological Survey
Jeffrey Danielson / Dean Tyler *
Physical Geographer
mailing and physical
USGS Earth Resources Observation & Science (EROS) Center
Science and Applications Branch
47914 252nd Street
Sioux Falls
SD
57198-0001
US
605-594-6148 / 605-594-2624 *
605-594-6589
daniels@usgs.gov / dtyler@usgs.gov *
0800 - 1600 CT, M - F (-6h CST/-5h CDT GMT)
Raster
Pixel
305630
204107
1
NAD 1983 UTM Zone 18N
0.9996
-75.0
0.0
500000.0
0.0
coordinate pair
1.000000
1.000000
meters
North American Datum of 1983
Geodetic Reference System 1980
6378137.000000
298.257222101
North American Vertical Datum of 1988
1.000000
meters
Implicit coordinate
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.
U.S. Geological Survey
Customer Service Representative
mailing and physical
USGS Earth Resources Observation & Science (EROS) Center
47914 252nd Street
Sioux Falls
SD
57198-0001
US
1-888-275-8747
605/594-6151
605/594-6933
605/594-6589
custserv@usgs.gov
800 - 1600 CT, M - F (-6h CST/-5h CDT GMT)
For additonal data access and assistance: Customer Service Representative USGS National Geospatial Program Office U.S. Geological Survey 12201 Sunrise Valley Road Reston, VA 20192 tnm_help@usgs.gov http://nationalmap.gov/viewer.html Monday Through Friday, 8:00 a.m. to 4:00 p.m. Eastern Time Zone
The topobathymetric data are available through the following websites: USGS Earth Explorer (http://earthexplorer.usgs.gov/). The National Map Viewer (http://nationalmap.gov/viewer.html), The Coastal National Elevation Database (CoNED) Project - Topobathymetric Digital Elevation Model (TBDEM), and The Coastal National Elevation Database (CoNED) Applications Project (CMGP) websites. The data are downloaded from all sites in a zip file that contains the necessary files for the data. The websites provide interactive map interfaces that offer browse images and additional options for modifying searches for a customer-defined area of interest.
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.
TIFF
ArcGIS 10.2
Raster
https://lta.cr.usgs.gov/coned_tbdem
http://earthexplorer.usgs.gov
http://topotools.cr.usgs.gov/coned
http://nationalmap.gov/viewer.html
The topobathymetric data are available through the following websites: USGS Earth Explorer (http://earthexplorer.usgs.gov/). The National Map Viewer (http://nationalmap.gov/viewer.html), The Coastal National Elevation Database (CoNED) Project - Topobathymetric Digital Elevation Model (TBDEM), and The Coastal National Elevation Database (CoNED) Applications Project (CMGP) websites. The data are downloaded from all sites in a zip file that contains the necessary files for the data. The websites provide interactive map interfaces that offer browse images and additional options for modifying searches for a customer-defined area of interest.
None
None. Downloadable data.
Variable
20151201
For usablility, ESRI ArcGIS 10.2 Suite, Photoshop, Global Mapper, Geospatial Data Abstraction Library (GDAL), or equivalent GIS processing software and supporting operating systems are suggested for viewing the spatial metadata.
20160308
As Needed
U.S. Geological Survey
Customer Service Representative
mailing and physical
USGS Earth Resources Observation & Science (EROS) Center
47914 252nd Street
Sioux Falls
SD
57198-0001
US
605-594-6151
1-800-252-4547
605-594-6933
605-594-6589
custserv@usgs.gov
0800 - 1600 CT, M - F (-6h CST/-5h CDT GMT)
FGDC Content Standard for Digital Geospatial Metadata
FGDC-STD-001-1998
local time
None
Unclassified
None