Jeffrey Danielson / Dean Tyler *, U.S. Geological Survey, Physical Geographer20161031Topobathymetric Model for the New England Region States of New York, Connecticut, Rhode Island, and Massachusetts, 1887 to 2016Firstraster digital dataTopobathymetric Model, 1887 to 20160.1Hurricane 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 model (TBDEM) for the New England sub-region including the and adjacent coastline. 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 New York, Connecticut, Rhode Island and Massachusetts coastal areas.The New England TBDEM integrates over 321 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 coastal areas of New York, Connecticut, Rhode Island, and Massachusetts. The temporal range of the input topography and bathymetry is 1887 to 2016.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 model (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 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 Butman, Bradford, Valentine, P.C., Middleton, T.J., and Danforth, W.W., 2007, A GIS Library of multibeam data for Massachusetts Bay and the Stellwagen Bank National Marine Sanctuary, Offshore of Boston, Massachusetts: U.S. Geological Survey Data Series 99, DVD-ROM. 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. Winters, W.J., Lorenson, T.D., and Paull, C.K., eds., 2007, Initial Report of the IMAGES VIII/PAGE 127 Gas Hydrate and Paleoclimate Cruise on the RV Marion Dufresne in the Gulf of Mexico, 2-18 July 2002: U.S. Geological Survey Open-File Report 2004-1358, one DVD, online at http://pubs.usgs.gov/of/2004/1358/ USGS - Woods Hole Coastal and Marine Science Center Barnhardt, Walter A., Andrews, Brian, D., and Butman, Bradford, 2005, High-Resolution Geologic Mapping of the Inner Continental Shelf: Nahant to Gloucester, Massachusetts: U.S. Geological Survey Open-File Report 2005-1293, online at http://woodshole.er.usgs.gov/pubs/of2005-1293/ McMullen, K.Y., Poppe, L.J., Signell, R.P., Denny, J.F., Crocker, J.M., Beaver, A.L., and Schattgen, P.T., 2006, Surficial Geology in Central Narragansett Bay, Rhode Island: Interpretations of Sidescan Sonar and Multibeam Bathymetry: U.S. Geological Survey Open-File Report 2006-1199, online at http://woodshole.er.usgs.gov/pubs/of2006-1199/ Poppe, Lawrence J., Ackerman, Seth D., Doran, Elizabeth F., Moser, Marc, S., Stewart, Helen, F., Forfinski, Nicholas A., Gardner, Uther, L., and Keene, Jennifer A., 2006, Geologic Interpretation and Multibeam Bathymetry of the Sea floor in Southeastern Long Island Sound: U.S. Geological Survey Open-File Report 2006-1059, online at http://woodshole.er.usgs.gov/pubs/of2006-1059/ Poppe, Lawrence J., Ackerman, Foster, David, S., Blackwood, Dann, S., Butman, Bradford, Moser, S.K., and Stewart, H.F., 2006, Sea-Floor Character and Surface Processes in the Vicinity of Quicks Hole, Elizabeth Islands, Massachusetts: U.S. Geological Survey Open-File Report 2006-1357, online at http://woodshole.er.usgs.gov/pubs/of2006-1357/ McMullen, K.Y., Poppe, L.J., Twomey, E.R., Danforth, W.W., Haupt, T.A., and Crocker, J.M., 2007, Sidescan-Sonar Imagery, Multibeam Bathymetry, and Surficial Geologic Interpretations of the Sea Floor in Rhode Island Sound, off Sakonnet Point, Rhode Island: U.S. Geological Survey Open-File Report 2007-1150, online at http://woodshole.er.usgs.gov/pubs/of2007-1150/ McMullen, K.Y., Poppe, L.J., Denny, J.F., Haupt, T.A., and Crocker, J.M., 2007, Sidescan-Sonar Imagery and Surficial Geologic Interpretations of the Sea Floor in Central Rhode Island Sound: U.S. Geological Survey Open-File Report 2007-1366, online at http://woodshole.er.usgs.gov/pubs/of2007-1366/ Poppe, Lawrence J., Ackerman, Foster, David, S., Blackwood, Dann, S., Williams, Jeffress, S., Moser, M.S., Stewart, H.F., and Glomb, K.A., 2007, Sea-Floor Character and Sedimentary Processes of Great Round Shoal Channel, Offshore Massachusetts: U.S. Geological Survey Open-File Report 2007-1138, online at http://woodshole.er.usgs.gov/pubs/of2007-1138/ McMullen, K.Y., Poppe, L.J., Haupt, T.A., and Crocker, J.M., 2008, Sidescan-Sonar Imagery and Surficial Geologic Interpretations of the Sea Floor in Western Rhode Island Sound: U.S. Geological Survey Open-File Report 2008-1181, online at http://woodshole.er.usgs.gov/pubs/of2008-1181/ Poppe, L.J., McMullen, K.Y., Foster, D.S., Blackwood, D.S., Williams, S.J., Ackerman, S.D., Barnum, S.R., and Brennan, R.T., 2008, Sea-Floor Character and Sedimentary Processes in the Vicinity of Woods Hole, Massachusetts: U.S. Geological Survey Open-File Report 2008-1004, online at http://woodshole.er.usgs.gov/pubs/of2008-1004/ Poppe, L.J., Ackerman, S.D., McMullen, K.Y., Schattgen, P.T., Schaer, J.D., and Doran, E.F., 2008, Interpolation of Reconnaissance Multibeam and Single-Beam Bathymetry Offshore of Milford, Connecticut: U.S. Geological Survey Open-File Report 2008-1146, online at http://woodshole.er.usgs.gov/pubs/of2008-1146/ EAARL Wright, C.W., Kranenburg, C.J., Klipp, E.S., Troche, R.J., Fredericks, Xan, Masessa, M.L., and Nagle, D.B., 2014, EAARL-B coastal topography—Fire Island, New York, pre-Hurricane Sandy, 2012; seamless (bare earth and submerged): U.S. Geological Survey Data Series 888, http://dx.doi.org/10.3133/ds888The 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, and Contact Information.1887010320160201ground conditionAs needed-74.786924-69.76145842.7987240.377544Geographic Names Information SystemCounty of TollandCounty of FairfieldCounty of QueensCounty of BarnstableCounty of PutnamCounty of ProvidenceCounty of WestchesterCounty of BristolCounty of HartfordCounty of New HavenCounty of UlsterCounty of NassauState of ConnecticutState of MassachusettsCounty of LitchfieldState of New YorkCounty of OrangeCounty of MiddlesexCounty of BronxCounty of NewportCounty of DutchessCounty of NorfolkCounty of WorcesterCounty of New LondonCounty of DukesCounty of New YorkCounty of SuffolkCounty of KentCounty of WindhamCounty of WashingtonState of Rhode IslandCounty of PlymouthCounty of NantucketCounty of RocklandU.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 TechnologyUSUSAU.S.United StatesU.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 TechnologyNYRICTMElocationimageryBase MapsEarth Cover013DTMUSGS3DEP-Coastal ZoneBathymetryAcoustic SonarDigital Elevation ModelBathymetric3D Elevation ProgramCZHydrologic ModelingLight Detection and RangingCoNEDCMGP3DEP3DEP-CZLiDARTopobathyU.S. Geological SurveyHydrologicCoastal National Elevation DatabaseTopobathymetricDigital Terrain ModelCoastal Marine and Geology ProgramDEMCoastal ZoneAmerican Society of Photogrammetry and Remote SensingNational Standards for Spatial Digital AccuracyAny 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 SurveyJeffrey Danielson / Dean Tyler *Physical Geographermailing and physicalUSGS Earth Resources Observation & Science (EROS) CenterScience and Applications Branch47914 252nd StreetSioux FallsSD57198-0001US605-594-6148 / 605-594-2624 *605-594-6589daniels@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.NoneUnclassifiedNoneMicrosoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.3.1.4959The 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.201409012014 NOAA Post Hurricane Sandy Topobathymetric LiDAR Mapping for Shoreline Mappingmapftp://coast.noaa.gov/pub/DigitalCoast/lidar1_z/geoid12b/data/4800/0onLineTopobathymetric LiDARThis data set is an LAZ (compressed LAS) format file containing LIDAR point cloud data. These data were collected by the National Oceanic Atmospheric Administration National Geodetic Survey Remote Sensing Division using a Riegl VQ820G system. The data were acquired from 20140108 - 20140522 in four missions.U.S. Geological Survey, St. Petersburg Coastal and Marine Science Centerpre-Hurricane Sandy (October 2012 hurricane) EAARLBhttp://pubs.usgs.gov/ds/0888/onLinepre-Hurricane Sandy (October 2012 hurricane) EAARLBThese 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.Connecticut Southeast, 2011, USGS 1-Meter; Massachusetts Statewide, 2011, USGS 1-Meter; Rhode Island Statewide, 2011, USGS 1-Meter; Massachusetts-New England Sandy, 2013, USGS 1-Meter; New York Sandy, Ulster-Dutchess-Orange, 2013, USGS 1-Meter; New York StatenIsland, 2013, USGS 1-Meter; Connecticut Sandy, 2014, USGS 1-Meter; New Jersey Sandy, Lot5. 2014, USGS 1-Meter; New York Long Island Sandy, 2014, USGS 1-Meter; New England NED, USGS 10-Meter; USGS Long Island Sandy LiDAR; USGS New York CMGP Sandy LiDARmaphttp://nationalmap.gov/viewer.htmlonLineTopographic LiDARUSGS historical and current 3 Bare-earth DEMs (3D) National Elevation Data.New_York_PutnmanCounty, 2008, NOAA 1-meter; Connecticut, Fairfield County, 2010, USGS 1-meter; Connecticut, Litchfield-FairField, 2011, USACE 1-meter; Connecticut Coastline, Post_Sandy, 2012, USACE 1-meterhttp://coast.noaa.gov/datavieweronLineNew_York_PutnmanCounty, 2008, NOAA 1-meter; Connecticut, Fairfield County, 2010, USGS 1-meter; Connecticut, Litchfield-FairField, 2011, USACE 1-meter; Connecticut Coastline, Post_Sandy, 2012, USACE 1-meter2012 USACE Post Sandy Topographic LiDAR: Coastal Connecticut - "This data has been acquired and developed by the U.S. Corps of Engineers ST. Louis District to collect and deliver topographic elevation point data derived from multiple return light detection and ranging (LiDAR) measurements for the 116 sq. mile project area encompassing the entire coastal region of the State of Connecticut. Fugro EarthData, Inc. acquired 46 flight lines in 4 lifts from November 14, 2012 to December 16, 2012." Connecticut_Litchfield_FairField_2011_USACE_1m - "The purpose of this LiDAR data was to produce high accuracy 3D elevation products, including tiled LiDAR in LAS 1.2 format, 3D breaklines, and 1 m cell size hydro flattened Digital Elevation Models (DEMs). This data was produced for the U.S. Corp of Engineers and USDA-NRCS Connecticut for use in projects dealing with conservation planning, design, research, floodplain mapping, dam safety assessments, and hydrologic modeling." Collected 20111213 to 20111219. LiDAR Elevation Data Collection - Putnam County, NY, 2008 (NYSDEC) - "Summary of the surface elevation data collection project in Putnam County, NY (NYSDEC) 2008. Products generated include LiDAR point data in LAS Binary format v1.1. In the spring of 2008, The Sanborn Map Company, Inc. (Sanborn) acquired 111 square miles of terrestrial LiDAR data in Putnam County, NY. An Optech ALTM 2050 Airborne LiDAR sensor was used for the collection. The LiDAR data associated with this metadata file is in LAS binary format, version 1.1."FEMA Topographic LiDAR: Connecticut Coastline Survey, 2006, 1-meter; FEMA Massachusetts-New_Hampshire, Merrimack, 2011, 1-meterhttps://coast.noaa.gov/dataviewer/#/onLineFEMA Topographic LiDAR: Connecticut Coastline Survey, 2006, 1-meter; FEMA Massachusetts-New_Hampshire, Merrimack, 2011, 1-meterFEMA Topographic LiDARNOAA, National Centers for Environmental Information (NCEI), UnknownBathymetry Multiple Data; D00102; D00111; D00149; F00321; F00323; F00325; F00340; F00341; F00364; F00365; F00367; F00375; F00376; F00378; F00379; F00406; F00411; F00491; F00522; F00545; F00550; F00559; H01802; H04797; H05045; H05141; H05223; H05341; H05342; H05343; H05343; H05400; H05401; H05543; H05553; H05588; H05589; H05610; H05621; H05622; H05623; H05628; H05629; H05630; H05670; H05733; H05734; H05880; H05881; H05882; H06123; H06124; H06125; H06330; H06348; H06349; H06350; H06442; H06443; H06444; H06445; H06446; H06468; H06469; H06470; H06471; H06472; H06473; H06533; H06534; H06561; H06562; H06563; H06642; H06643; H06668; H06859; H06863; H06970; H06995; H07060; H07061; H07062; H07063; H07066; H07159; H07640; H07715; H07724; H07841;http://www.ngdc.noaa.gov/mgg/bathymetry/relief.html ; http://maps.ngdc.noaa.gov/viewers/bathymetry/onLineBathymetry Multiple Data; D00102; D00111; D00149; F00321; F00323; F00325; F00340; F00341; F00364; F00365; F00367; F00375; F00376; F00378; F00379; F00406; F00411; F00491; F00522; F00545; F00550; F00559; H01802; H04797; H05045; H05141; H05223; H05341; H05342; H05343; H05343; H05400; H05401; H05543; H05553; H05588; H05589; H05610; H05621; H05622; H05623; H05628; H05629; H05630; H05670; H05733; H05734; H05880; H05881; H05882; H06123; H06124; H06125; H06330; H06348; H06349; H06350; H06442; H06443; H06444; H06445; H06446; H06468; H06469; H06470; H06471; H06472; H06473; H06533; H06534; H06561; H06562; H06563; H06642; H06643; H06668; H06859; H06863; H06970; H06995; H07060; H07061; H07062; H07063; H07066; H07159; H07640; H07715; H07724; H07841;Bathymetry, 1887 to 2013, NOAA, National Centers for Environmental InformationUSACE Topobathy Lidar: Long Island, New York, 2013https://coast.noaa.gov/htdata/lidar1_z/geoid12a/data/3664/onLineUSACE Topobathy Lidar: Long Island, New York, 2013Topobathymetric LiDARU.S. Geological Survey, Customer Service RepresentativeNew Jersey-DelawareTopobathy DEM USGS v1 1-Meterraster digital datahttps://lta.cr.usgs.gov/coned_tbdemonLineUSGS Topobathy 2015, 1-MeterCoNED 1-Meter Topobathymetric Elevation Model (TBDEM)ds-99; of 2005-1293; of 2006-1059; of 2006-1357; of 2006-1199; of 2007-1138; of 2007-1150; of 2007-1366; of 2008-1146; of 2008-1004; of 2008-1181; of2009-1001; of2009-1072,of2010-1066; of2011-1003; of2011-1222; of2014-1012; and * 2009-1001, 2009-1072, 2010-1066, 2011-1003, 2011-1222, 2014-1012http://woodshole.er.usgs.gov/pubs/ ; * http://pubs.usgs.gov/of/onLineBathymetryBathymetry from Woods Hole Coastal and Marine Science Center, Woods Hole, Massachusetts , U.S. Geological Survey, Coastal and Marine Geology ProgramLong Island Sound Topobathy, 2016, 3-meterhttp://www.ngdc.noaa.gov/mgg/inundation/sandy/sandy_geoc.htmlonLineTopobathyNOAA's National Centers for Environmental Information (NCEI) has developed a suite of digital elevation models (DEMs) of the U.S. Atlantic Coast impacted by Hurricane Sandy in October 2012. These DEMs are the initial part of a planned framework for a seamless depiction of merged bathymetry and topography along U.S. coasts.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).20160404Bathymetry 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.20160411Mosaic 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.).20160418U.S. Geological SurveyJeffrey Danielson / Dean Tyler *Physical Geographermailing and physical47914 252nd StreetUSGS Earth Resources Observation & Science (EROS) CenterScience and Applications BranchSioux FallsSD57198-0001US605-594-6148 / 605-594-2624 *605-594-6589daniels@usgs.gov / dtyler@usgs.gov *0800 - 1600 CT, M - F (-6h CST/-5h CDT GMT)Spatial_Reference_Information: Horizontal_Coordinate_System_Definition: Planar: Map_Projection: Map_Projection_Name: NAD 1983 UTM Zone 18N Transverse_Mercator: Scale_Factor_at_Central_Meridian: 0.9996 Longitude_of_Central_Meridian: -75.0 Latitude_of_Projection_Origin: 0.0 False_Easting: 500000.0 False_Northing: 0.0 Planar_Coordinate_Information: Planar_Coordinate_Encoding_Method: coordinate pair Coordinate_Representation: Abscissa_Resolution: 1.0 Ordinate_Resolution: 1.0 Planar_Distance_Units: meter Geodetic_Model: Horizontal_Datum_Name: D North American 1983 Ellipsoid_Name: GRS 1980 Semi-major_Axis: 6378137.0 Denominator_of_Flattening_Ratio: 298.257222101 Vertical_Coordinate_System_Definition: Vertical_Datum: North American Vertical Datum of 1988 Altitude_Resolution: 1.000000 Altitude_Units: MetersGrid Cell4111922041071This 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 SurveyCustomer Service Representativemailing and physicalUSGS Earth Resources Observation & Science (EROS) Center47914 252nd StreetSioux FallsSD57198-0001US1-888-275-8747605/594-6151605/594-6933605/594-6589custserv@usgs.gov800 - 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 ZoneThe 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.TIFFArcGIS 10.2Rasterhttps://lta.cr.usgs.gov/coned_tbdemhttp://earthexplorer.usgs.govhttp://topotools.cr.usgs.gov/conedhttp://nationalmap.gov/viewer.htmlThe 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.NoneNone. Downloadable data.Variable20151201For 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.20161003As NeededU.S. Geological SurveyCustomer Service Representativemailing and physicalUSGS Earth Resources Observation & Science (EROS) Center47914 252nd StreetSioux FallsSD57198-0001US605-594-61511-800-252-4547605-594-6933605-594-6589custserv@usgs.gov0800 - 1600 CT, M - F (-6h CST/-5h CDT GMT)FGDC Content Standard for Digital Geospatial MetadataFGDC-STD-001-1998local timeNoneUnclassifiedNoneU.S. Geological SurveyCustomer Service Representative605-594-61511-800-252-4547605-594-6933605-594-6589USGS Earth Resources Observation & Science (EROS) Center47914 252nd StreetSioux FallsSD57198-0001UScustserv@usgs.gov0800 - 1600 CT, M - F (-6h CST/-5h CDT GMT)20161003ArcGIS Metadata1.0U.S. Geological SurveyCustomer Service Representative1-888-275-8747605/594-6151605/594-6933605/594-6589USGS Earth Resources Observation & Science (EROS) Center47914 252nd StreetSioux FallsSD57198-0001UScustserv@usgs.gov800 - 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 ZoneNone2015-12-01None. Downloadable data.VariableTIFFArcGIS 10.2RasterFor 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.https://lta.cr.usgs.gov/coned_tbdemThe 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.http://topotools.cr.usgs.gov/conedThe 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.http://nationalmap.gov/viewer.htmlThe 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.http://earthexplorer.usgs.govThe 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.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.Topobathymetric Model for the New England Region States of New York, Connecticut, Rhode Island, and Massachusetts, 1887 to 20162016-10-31FirstJeffrey Danielson / Dean Tyler *, U.S. Geological Survey, Physical Geographerraster digital dataTopobathymetric Model, 1887 to 20160.1<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>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 model (TBDEM) for the New England sub-region including the and adjacent coastline. 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 New York, Connecticut, Rhode Island and Massachusetts coastal areas.The New England TBDEM integrates over 321 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 coastal areas of New York, Connecticut, Rhode Island, and Massachusetts. The temporal range of the input topography and bathymetry is 1887 to 2016.</SPAN></P></DIV></DIV></DIV>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 model (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 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 Butman, Bradford, Valentine, P.C., Middleton, T.J., and Danforth, W.W., 2007, A GIS Library of multibeam data for Massachusetts Bay and the Stellwagen Bank National Marine Sanctuary, Offshore of Boston, Massachusetts: U.S. Geological Survey Data Series 99, DVD-ROM. 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. Winters, W.J., Lorenson, T.D., and Paull, C.K., eds., 2007, Initial Report of the IMAGES VIII/PAGE 127 Gas Hydrate and Paleoclimate Cruise on the RV Marion Dufresne in the Gulf of Mexico, 2-18 July 2002: U.S. Geological Survey Open-File Report 2004-1358, one DVD, online at http://pubs.usgs.gov/of/2004/1358/ USGS - Woods Hole Coastal and Marine Science Center Barnhardt, Walter A., Andrews, Brian, D., and Butman, Bradford, 2005, High-Resolution Geologic Mapping of the Inner Continental Shelf: Nahant to Gloucester, Massachusetts: U.S. Geological Survey Open-File Report 2005-1293, online at http://woodshole.er.usgs.gov/pubs/of2005-1293/ McMullen, K.Y., Poppe, L.J., Signell, R.P., Denny, J.F., Crocker, J.M., Beaver, A.L., and Schattgen, P.T., 2006, Surficial Geology in Central Narragansett Bay, Rhode Island: Interpretations of Sidescan Sonar and Multibeam Bathymetry: U.S. Geological Survey Open-File Report 2006-1199, online at http://woodshole.er.usgs.gov/pubs/of2006-1199/ Poppe, Lawrence J., Ackerman, Seth D., Doran, Elizabeth F., Moser, Marc, S., Stewart, Helen, F., Forfinski, Nicholas A., Gardner, Uther, L., and Keene, Jennifer A., 2006, Geologic Interpretation and Multibeam Bathymetry of the Sea floor in Southeastern Long Island Sound: U.S. Geological Survey Open-File Report 2006-1059, online at http://woodshole.er.usgs.gov/pubs/of2006-1059/ Poppe, Lawrence J., Ackerman, Foster, David, S., Blackwood, Dann, S., Butman, Bradford, Moser, S.K., and Stewart, H.F., 2006, Sea-Floor Character and Surface Processes in the Vicinity of Quicks Hole, Elizabeth Islands, Massachusetts: U.S. Geological Survey Open-File Report 2006-1357, online at http://woodshole.er.usgs.gov/pubs/of2006-1357/ McMullen, K.Y., Poppe, L.J., Twomey, E.R., Danforth, W.W., Haupt, T.A., and Crocker, J.M., 2007, Sidescan-Sonar Imagery, Multibeam Bathymetry, and Surficial Geologic Interpretations of the Sea Floor in Rhode Island Sound, off Sakonnet Point, Rhode Island: U.S. Geological Survey Open-File Report 2007-1150, online at http://woodshole.er.usgs.gov/pubs/of2007-1150/ McMullen, K.Y., Poppe, L.J., Denny, J.F., Haupt, T.A., and Crocker, J.M., 2007, Sidescan-Sonar Imagery and Surficial Geologic Interpretations of the Sea Floor in Central Rhode Island Sound: U.S. Geological Survey Open-File Report 2007-1366, online at http://woodshole.er.usgs.gov/pubs/of2007-1366/ Poppe, Lawrence J., Ackerman, Foster, David, S., Blackwood, Dann, S., Williams, Jeffress, S., Moser, M.S., Stewart, H.F., and Glomb, K.A., 2007, Sea-Floor Character and Sedimentary Processes of Great Round Shoal Channel, Offshore Massachusetts: U.S. Geological Survey Open-File Report 2007-1138, online at http://woodshole.er.usgs.gov/pubs/of2007-1138/ McMullen, K.Y., Poppe, L.J., Haupt, T.A., and Crocker, J.M., 2008, Sidescan-Sonar Imagery and Surficial Geologic Interpretations of the Sea Floor in Western Rhode Island Sound: U.S. Geological Survey Open-File Report 2008-1181, online at http://woodshole.er.usgs.gov/pubs/of2008-1181/ Poppe, L.J., McMullen, K.Y., Foster, D.S., Blackwood, D.S., Williams, S.J., Ackerman, S.D., Barnum, S.R., and Brennan, R.T., 2008, Sea-Floor Character and Sedimentary Processes in the Vicinity of Woods Hole, Massachusetts: U.S. Geological Survey Open-File Report 2008-1004, online at http://woodshole.er.usgs.gov/pubs/of2008-1004/ Poppe, L.J., Ackerman, S.D., McMullen, K.Y., Schattgen, P.T., Schaer, J.D., and Doran, E.F., 2008, Interpolation of Reconnaissance Multibeam and Single-Beam Bathymetry Offshore of Milford, Connecticut: U.S. Geological Survey Open-File Report 2008-1146, online at http://woodshole.er.usgs.gov/pubs/of2008-1146/ EAARL Wright, C.W., Kranenburg, C.J., Klipp, E.S., Troche, R.J., Fredericks, Xan, Masessa, M.L., and Nagle, D.B., 2014, EAARL-B coastal topography—Fire Island, New York, pre-Hurricane Sandy, 2012; seamless (bare earth and submerged): U.S. Geological Survey Data Series 888, http://dx.doi.org/10.3133/ds888Please refer to the Data Quality Section, Source Citations for original source data information.Jeffrey Danielson / Dean Tyler *U.S. Geological SurveyPhysical Geographer605-594-6148 / 605-594-2624 *605-594-6589USGS Earth Resources Observation & Science (EROS) CenterScience and Applications Branch47914 252nd StreetSioux FallsSD57198-0001USdaniels@usgs.gov / dtyler@usgs.gov *0800 - 1600 CT, M - F (-6h CST/-5h CDT GMT)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 TechnologyRINYCTMEU.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 TechnologyUSUSAU.S.United StatesGeographic Names Information SystemCounty of DukesCounty of UlsterCounty of QueensCounty of NassauCounty of BarnstableState of ConnecticutCounty of New HavenCounty of WestchesterCounty of BristolCounty of LitchfieldState of New YorkCounty of OrangeCounty of MiddlesexCounty of ProvidenceCounty of TollandCounty of NewportCounty of NorfolkCounty of NantucketCounty of FairfieldCounty of DutchessCounty of WorcesterCounty of New YorkCounty of SuffolkCounty of KentCounty of HartfordCounty of WindhamState of Rhode IslandCounty of WashingtonCounty of New LondonCounty of PlymouthCounty of PutnamCounty of BronxState of MassachusettsCounty of RocklandISO 19115 CategorylocationimageryBase MapsEarth Cover013DTMUSGS3DEP-Coastal ZoneBathymetryAcoustic SonarDigital Elevation ModelBathymetric3D Elevation ProgramCZHydrologic ModelingLight Detection and RangingCoNEDCMGP3DEP3DEP-CZLiDARTopobathyU.S. Geological SurveyHydrologicCoastal National Elevation DatabaseTopobathymetricDigital Terrain ModelCoastal Marine and Geology ProgramDEMCoastal ZoneAmerican Society of Photogrammetry and Remote SensingNational Standards for Spatial Digital AccuracyCounty of DukesRIUSUSACounty of UlsterDTMUSGS3DEP-Coastal ZoneCounty of QueensCounty of NassauBathymetryU.S.County of BarnstablelocationAmerican Society of Photogrammetry and Remote SensingNational Standards for Spatial Digital AccuracyState of ConnecticutAcoustic SonarCounty of New HavenimageryDigital Elevation ModelCounty of WestchesterBathymetricCounty of Bristol3D Elevation ProgramNYCZHydrologic ModelingLight Detection and RangingCoNEDCMGPCounty of LitchfieldState of New YorkCounty of OrangeCTBase Maps3DEPCounty of MiddlesexCounty of ProvidenceCounty of TollandCounty of NewportCounty of NorfolkCounty of Nantucket3DEP-CZLiDARUnited StatesTopobathyU.S. Geological SurveyEarth CoverCounty of FairfieldHydrologicCounty of DutchessCoastal National Elevation DatabaseCounty of WorcesterCounty of New YorkTopobathymetricCounty of SuffolkCounty of KentCounty of HartfordCounty of WindhamState of Rhode IslandCounty of WashingtonCounty of New LondonMEDigital Terrain ModelCounty of PlymouthCounty of PutnamCoastal Marine and Geology ProgramCounty of BronxDEMCoastal Zone013State of MassachusettsCounty of RocklandAlthough 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 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.NoneNone<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>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.</SPAN></P></DIV></DIV></DIV>Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.3.1.4959ground condition1887-01-032016-02-01-74.786924-69.76145840.37754442.79872The 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, and Contact Information.Last metadata review date: As NeededNoneNoneThe 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.Bathymetry, 1887 to 2013, NOAA, National Centers for Environmental InformationBathymetry Multiple Data; D00102; D00111; D00149; F00321; F00323; F00325; F00340; F00341; F00364; F00365; F00367; F00375; F00376; F00378; F00379; F00406; F00411; F00491; F00522; F00545; F00550; F00559; H01802; H04797; H05045; H05141; H05223; H05341; H05342; H05343; H05343; H05400; H05401; H05543; H05553; H05588; H05589; H05610; H05621; H05622; H05623; H05628; H05629; H05630; H05670; H05733; H05734; H05880; H05881; H05882; H06123; H06124; H06125; H06330; H06348; H06349; H06350; H06442; H06443; H06444; H06445; H06446; H06468; H06469; H06470; H06471; H06472; H06473; H06533; H06534; H06561; H06562; H06563; H06642; H06643; H06668; H06859; H06863; H06970; H06995; H07060; H07061; H07062; H07063; H07066; H07159; H07640; H07715; H07724; H07841;Bathymetry Multiple Data; D00102; D00111; D00149; F00321; F00323; F00325; F00340; F00341; F00364; F00365; F00367; F00375; F00376; F00378; F00379; F00406; F00411; F00491; F00522; F00545; F00550; F00559; H01802; H04797; H05045; H05141; H05223; H05341; H05342; H05343; H05343; H05400; H05401; H05543; H05553; H05588; H05589; H05610; H05621; H05622; H05623; H05628; H05629; H05630; H05670; H05733; H05734; H05880; H05881; H05882; H06123; H06124; H06125; H06330; H06348; H06349; H06350; H06442; H06443; H06444; H06445; H06446; H06468; H06469; H06470; H06471; H06472; H06473; H06533; H06534; H06561; H06562; H06563; H06642; H06643; H06668; H06859; H06863; H06970; H06995; H07060; H07061; H07062; H07063; H07066; H07159; H07640; H07715; H07724; H07841;NOAA, National Centers for Environmental Information (NCEI), Unknownhttp://www.ngdc.noaa.gov/mgg/bathymetry/relief.html ; http://maps.ngdc.noaa.gov/viewers/bathymetry/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.pre-Hurricane Sandy (October 2012 hurricane) EAARLBU.S. Geological Survey, St. Petersburg Coastal and Marine Science Centerhttp://pubs.usgs.gov/ds/0888/Bathymetry from Woods Hole Coastal and Marine Science Center, Woods Hole, Massachusetts , U.S. Geological Survey, Coastal and Marine Geology Programds-99; of 2005-1293; of 2006-1059; of 2006-1357; of 2006-1199; of 2007-1138; of 2007-1150; of 2007-1366; of 2008-1146; of 2008-1004; of 2008-1181; of2009-1001; of2009-1072,of2010-1066; of2011-1003; of2011-1222; of2014-1012; and * 2009-1001, 2009-1072, 2010-1066, 2011-1003, 2011-1222, 2014-1012Bathymetryhttp://woodshole.er.usgs.gov/pubs/ ; * http://pubs.usgs.gov/of/2012 USACE Post Sandy Topographic LiDAR: Coastal Connecticut - "This data has been acquired and developed by the U.S. Corps of Engineers ST. Louis District to collect and deliver topographic elevation point data derived from multiple return light detection and ranging (LiDAR) measurements for the 116 sq. mile project area encompassing the entire coastal region of the State of Connecticut. Fugro EarthData, Inc. acquired 46 flight lines in 4 lifts from November 14, 2012 to December 16, 2012." Connecticut_Litchfield_FairField_2011_USACE_1m - "The purpose of this LiDAR data was to produce high accuracy 3D elevation products, including tiled LiDAR in LAS 1.2 format, 3D breaklines, and 1 m cell size hydro flattened Digital Elevation Models (DEMs). This data was produced for the U.S. Corp of Engineers and USDA-NRCS Connecticut for use in projects dealing with conservation planning, design, research, floodplain mapping, dam safety assessments, and hydrologic modeling." Collected 20111213 to 20111219. LiDAR Elevation Data Collection - Putnam County, NY, 2008 (NYSDEC) - "Summary of the surface elevation data collection project in Putnam County, NY (NYSDEC) 2008. Products generated include LiDAR point data in LAS Binary format v1.1. In the spring of 2008, The Sanborn Map Company, Inc. (Sanborn) acquired 111 square miles of terrestrial LiDAR data in Putnam County, NY. An Optech ALTM 2050 Airborne LiDAR sensor was used for the collection. The LiDAR data associated with this metadata file is in LAS binary format, version 1.1."New_York_PutnmanCounty, 2008, NOAA 1-meter; Connecticut, Fairfield County, 2010, USGS 1-meter; Connecticut, Litchfield-FairField, 2011, USACE 1-meter; Connecticut Coastline, Post_Sandy, 2012, USACE 1-meterNew_York_PutnmanCounty, 2008, NOAA 1-meter; Connecticut, Fairfield County, 2010, USGS 1-meter; Connecticut, Litchfield-FairField, 2011, USACE 1-meter; Connecticut Coastline, Post_Sandy, 2012, USACE 1-meterhttp://coast.noaa.gov/dataviewerUSGS historical and current 3 Bare-earth DEMs (3D) National Elevation Data.Connecticut Southeast, 2011, USGS 1-Meter; Massachusetts Statewide, 2011, USGS 1-Meter; Rhode Island Statewide, 2011, USGS 1-Meter; Massachusetts-New England Sandy, 2013, USGS 1-Meter; New York Sandy, Ulster-Dutchess-Orange, 2013, USGS 1-Meter; New York StatenIsland, 2013, USGS 1-Meter; Connecticut Sandy, 2014, USGS 1-Meter; New Jersey Sandy, Lot5. 2014, USGS 1-Meter; New York Long Island Sandy, 2014, USGS 1-Meter; New England NED, USGS 10-Meter; USGS Long Island Sandy LiDAR; USGS New York CMGP Sandy LiDARTopographic LiDARmaphttp://nationalmap.gov/viewer.htmlThis data set is an LAZ (compressed LAS) format file containing LIDAR point cloud data. These data were collected by the National Oceanic Atmospheric Administration National Geodetic Survey Remote Sensing Division using a Riegl VQ820G system. The data were acquired from 20140108 - 20140522 in four missions.02014 NOAA Post Hurricane Sandy Topobathymetric LiDAR Mapping for Shoreline MappingTopobathymetric LiDAR2014-09-01mapftp://coast.noaa.gov/pub/DigitalCoast/lidar1_z/geoid12b/data/4800/NOAA's National Centers for Environmental Information (NCEI) has developed a suite of digital elevation models (DEMs) of the U.S. Atlantic Coast impacted by Hurricane Sandy in October 2012. These DEMs are the initial part of a planned framework for a seamless depiction of merged bathymetry and topography along U.S. coasts.Long Island Sound Topobathy, 2016, 3-meterTopobathyhttp://www.ngdc.noaa.gov/mgg/inundation/sandy/sandy_geoc.htmlTopobathymetric LiDARUSACE Topobathy Lidar: Long Island, New York, 2013USACE Topobathy Lidar: Long Island, New York, 2013https://coast.noaa.gov/htdata/lidar1_z/geoid12a/data/3664/FEMA Topographic LiDARFEMA Topographic LiDAR: Connecticut Coastline Survey, 2006, 1-meter; FEMA Massachusetts-New_Hampshire, Merrimack, 2011, 1-meterFEMA Topographic LiDAR: Connecticut Coastline Survey, 2006, 1-meter; FEMA Massachusetts-New_Hampshire, Merrimack, 2011, 1-meterhttps://coast.noaa.gov/dataviewer/#/CoNED 1-Meter Topobathymetric Elevation Model (TBDEM)New Jersey-DelawareTopobathy DEM USGS v1 1-MeterUSGS Topobathy 2015, 1-MeterU.S. Geological Survey, Customer Service Representativeraster digital datahttps://lta.cr.usgs.gov/coned_tbdemThe 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).2016-04-04Bathymetry Processing Component: a) Quality control check the vertical and horizontal datum and projection information of the input bathymetric source to ensure the data is referenced to NAVD88 and NAD83, UTM. If the source data is not NAVD88, transform the input bathymetric data to NAVD88 reference frame using VDatum. Likewise, if required, convert the input source data to NAD83 and reproject to UTM. b) Prioritize and spatially sort the bathymetry based on date of acquisition, spatial distribution, accuracy, and point density to eliminate any outdated or erroneous points and to minimize interpolation artifacts. c) Randomly spatial subset the bathymetric points into two point sets based on the criteria of 95 percent of the points for the "Actual Selected" set and the remaining 5 percent for the "Test Control" set. The "Actual Selected" points will be gridded in the empirical bayesian krigging model along with associated masks to generate the bathymetric surface, while the "Test Control" points will be used to compute the interpolation accuracy (Root Mean Square Error) from the derived surface. d) Spatially interpolate bathymetric single-beam, multi-beam, and hydrographic survey source data using an empirical bayesian krigging gridding algorithm. This approach uses a geostatistical interpolation method that accounts for the error in estimating the underlying semivariogram (data structure - variance) through repeated simulations. e) Cross validation - Compare the predicted value in the geostatistical model to the actual observed value to assess the accuracy and effectiveness of model parameters by removing each data location one at a time and predicting the associated data value. The results will be reported in terms of RMSE. f) Compute the interpolation accuracy by comparing elevation values in the "Test Control" points to values extracted from the derived gridded surface; report the results in terms of RMSE.2016-04-11Mosaic 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.).2016-04-18Jeffrey Danielson / Dean Tyler *U.S. Geological SurveyPhysical Geographer605-594-6148 / 605-594-2624 *605-594-658947914 252nd StreetUSGS Earth Resources Observation & Science (EROS) CenterScience and Applications BranchSioux FallsSD57198-0001USdaniels@usgs.gov / dtyler@usgs.gov *0800 - 1600 CT, M - F (-6h CST/-5h CDT GMT)24111922041071Spatial_Reference_Information: Horizontal_Coordinate_System_Definition: Planar: Map_Projection: Map_Projection_Name: NAD 1983 UTM Zone 18N Transverse_Mercator: Scale_Factor_at_Central_Meridian: 0.9996 Longitude_of_Central_Meridian: -75.0 Latitude_of_Projection_Origin: 0.0 False_Easting: 500000.0 False_Northing: 0.0 Planar_Coordinate_Information: Planar_Coordinate_Encoding_Method: coordinate pair Coordinate_Representation: Abscissa_Resolution: 1.0 Ordinate_Resolution: 1.0 Planar_Distance_Units: meter Geodetic_Model: Horizontal_Datum_Name: D North American 1983 Ellipsoid_Name: GRS 1980 Semi-major_Axis: 6378137.0 Denominator_of_Flattening_Ratio: 298.257222101 Vertical_Coordinate_System_Definition: Vertical_Datum: North American Vertical Datum of 1988 Altitude_Resolution: 1.000000 Altitude_Units: Meters20161101145807001.020161101150158001500000005000FGDCoriginal metadataPD94bWwgdmVyc2lvbj0iMS4wIiBlbmNvZGluZz0idXRmLTgiPz4NCjxtZXRhZGF0YT4NCiAgPGlk
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