49844 ne2011_usgs_lftne_m2524_metadata Data Set Published / External 49401 Lidar - partner (no harvest) Project Completed 2013-08 This data originated with USGS and partners and was modified by NOAA for distribution in the Digital Coast. Modifications primarily involve the projection, vertical datum, and point class coding. This data was acquired through USGS Contract: G10PC00026 Task Order Numbers: G10PD01027 (ARRA) and G10PD02143 (non-ARRA). The LiDAR for the North East Project, funded in large part by the American Recovery and Reinvestment Act (ARRA) of 2009, as well as, other funding sources was designed to help stimulate the U.S. economy and provide for more accurate floodplain mapping in the North East, representing the start of a regional LiDAR collection program that served as a test case for a national elevation program. Lead by the United States Geological Survey's (USGS) National Geospatial Program Office and the State of Maine's Office of GIS with active collaboration and participation by other federal, state and local agencies resulted in LiDAR acquisition and processing of over 8,000 sq. miles of (LiDAR) data of a coastal zone spanning six North Eastern states, including Maine, New Hampshire, Massachusetts, Connecticut, Rhode Island, and New York. USGS's National Geospatial Technical Operations Center (USGS NGTOC) in Rolla, MO provided project management and quality control oversight for the project which consisted of two Task Orders issued to USGS contractor, GMR Aerial Surveys inc. d/b/a Photo Science (contractor), for task order execution through the use of USGS's Geospatial Products and Services Contract (USGS Contract: G10PC00026). Task Order specifications included state/area specific vertical accuracy, nominal post spacing and tide coordinated acquisition requirements. To see state/area specific information please see the individual project metadata links in the Supplemental_Information section below. NOAA OCM received a redelivery for 32 tiles in Maine to fill small voids in data. These redelivered tiles were incorporated on 1/23/2014. LiDAR data has a wide range of applications such as earthquake hazard studies, hydrologic modeling, forestry, coastal engineering, roadway and pipeline engineering, flood plain mapping, wetland studies, geologic studies and a variety of analytical and cartographic projects. 10488 Theme ISO 19115 Topic Category elevation Office for Coastal Management Charleston SC Data Set As Needed las LiDAR points in LAS format none Any conclusions drawn from the analysis of this information are not the responsibility of Photo Science Inc, James W. Sewall Company, Northrop Gruman/3001, USGS, Maine's Office of GIS, NOAA, the Office for Coastal Management or its partners. Photo Science, Inc. flew the LiDAR and processed the data. Northrop Grumman/3001 helped with the acquisition of theLiDAR data. Acknowledgement of the U.S. Geological Survey would be appreciated for products derived from these data. Data Steward 2013-08 Organization NOAA Office for Coastal Management NOAA/OCM coastal.info@noaa.gov 2234 South Hobson Ave Charleston SC 29405-2413 (843) 740-1202 https://coast.noaa.gov NOAA Office for Coastal Management Home Page Online Resource Distributor 2013-08 Organization NOAA Office for Coastal Management NOAA/OCM coastal.info@noaa.gov 2234 South Hobson Ave Charleston SC 29405-2413 (843) 740-1202 https://coast.noaa.gov NOAA Office for Coastal Management Home Page Online Resource Metadata Contact 2013-08 Organization NOAA Office for Coastal Management NOAA/OCM coastal.info@noaa.gov 2234 South Hobson Ave Charleston SC 29405-2413 (843) 740-1202 https://coast.noaa.gov NOAA Office for Coastal Management Home Page Online Resource Point of Contact 2013-08 Organization NOAA Office for Coastal Management NOAA/OCM coastal.info@noaa.gov 2234 South Hobson Ave Charleston SC 29405-2413 (843) 740-1202 https://coast.noaa.gov NOAA Office for Coastal Management Home Page Online Resource Ground Condition -74.236678 -66.938738 45.193096 40.574468 Range 2010-12-20 2011-12-11 Yes Unclassified This data can be obtained on-line at the following URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=2524; None Users should be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its limitations. These data depict the heights at the time of the survey and are only accurate for that time. https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=2524 2013-08 Organization NOAA Office for Coastal Management Customized Download Create custom data files by choosing data area, product type, map projection, file format, datum, etc. Zip Zip https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/2524/index.html 2013-08 Organization NOAA Office for Coastal Management Bulk Download Simple download of data files in geographic coordinates. Vertical datum is NAVD88 instead of ellipsoid. LAZ LAS/LAZ - LASer Zip https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/2524/supplemental/ne2011_usgs_lftne_footprint.kmz Browse Graphic Browse Graphic kmz This graphic shows the lidar coverage for the coastal regions of ME, MA, NH, RI, CT and NY. https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/2524/supplemental/ne2011_usgs_lftne_NPSMap.pdf Nominal point spacing map Online Resource pdf A map showing the Nominal Point Spacing for each area of the project https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/2524/supplemental/ne2011_usgs_lftne_VAMap.pdf vertical accuracy map Online Resource pdf A map showing the Vertical Accuracy for each area of the project https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/2524/supplemental/orig_usgs_metadata/ne2011_usgs_lftneCT18.xml CT original metadata Online Resource xml Original metadata for the State of Connecticut (UTM Zone 18) https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/2524/supplemental/orig_usgs_metadata/ne2011_usgs_lftneCT19.xml CT original metadata zone 19 Online Resource xml Original metadata for the State of Connecticut (UTM Zone 19) https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/2524/supplemental/orig_usgs_metadata/ne2011_usgs_lftneMA.xml MA original metadata Online Resource xml Original metadata for the State of Massachusetts https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/2524/supplemental/orig_usgs_metadata/ne2011_usgs_lftneME.xml ME original metadata Online Resource xml Original metadata for the State of Maine https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/2524/supplemental/orig_usgs_metadata/ne2011_usgs_lftneNH.xml NH original metadata Online Resource xml Original metadata for the State of New Hampshire https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/2524/supplemental/orig_usgs_metadata/ne2011_usgs_lftneNY.xml NY original metadata Online Resource xml Original metadata for the State of New York https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/2524/supplemental/orig_usgs_metadata/ne2011_usgs_lftneRI.xml RI original metadata Online Resource xml Original metadata for the State of Rhode Island 2017-03-20 Date that the source FGDC record was last modified. 2017-11-14 Converted from FGDC Content Standards for Digital Geospatial Metadata (version FGDC-STD-001-1998) using 'fgdc_to_inport_xml.pl' script. Contact Tyler Christensen (NOS) for details. 2018-02-08 Partial upload of Positional Accuracy fields only. 2018-03-13 Partial upload to move data access links to Distribution Info. The project area required LiDAR to be collected on 2.0 meter GSD (1.0 meter GSD for Massachusetts and Rhode Island) or better and processed to meet a bare earth vertical accuracy of 15.0 centimeters RMSEz or better with the exception of Cape Cod (Barnstable County) which was flown and processed to meet a bare earth vertical accuracy of 9.25cm RMSEz or better. The reported RMSEz value was determined using the calibration control points, and not the Blind Control. The calibration control points are the same points that were used to remove any bias in the dataset before bare earth editing. The listed RMSEz values shown below were calculated from the ground (ASPRS Class 2) data in the final Classified LAS file. The vertical unit of the value is in decimal meters with 2-decimal point precision: - Massachusetts: 0.071 - Connecticut UTM Zone 18N: .100 - Connecticut UTM Zone 19N: .049 - New Hampshire: 0.091 - New York: 0.061 - Rhode Island: 0.067; Quantitative Value: 0.15 meters, Test that produced the value: Root Mean Square Error Z in meters, as calculated from Classified LAS files. - Maine: The majority of the area was collected to meet an RMSEz of 0.15 meters. Some areas were collected to meet an RMSEz of 0.0925 meters. Datasets contain complete coverage of project area and tiles. Raw Flightlines, Classified LAS files, Breaklines, and Raster DEMs were tested by Photo Science for both vertical and horizontal accuracy. Checks are done to ensure that the data is seamless from one tile to the next before being combined and that breaklines meeting the project requirements have been collected across the entire project area. Combining the breaklines with LiDAR data to create other deliverables is another check of the data. All data are seamless from one tile to the next, no gaps or no data areas. 1 Control Process: James W. Sewall Company was contracted by Photo Science, Inc. to locate a total of 156 calibration control points (60 for MA, 31 for NY, 11 for CT18, 4 for CT19, 25 for NH and 25 for RI) used in the post processing of the LiDAR data as well as 20 quality assurance check points for each state. The points were located on relatively flat terrain on surfaces that generally consisted of grass, gravel or bare earth. See Final Survey Reports for additional collection parameters and methodologies. Raw Flight Line Process: Applanix software was used in the post processing of the airborne GPS and inertial data that is critical to the positioning and orientation of the sensor during all flights. POSPac MMS provides the smoothed best estimate of trajectory (SBET) that is necessary for Optech's post processor to develop the point cloud from the LiDAR missions. The point cloud is the mathematical three dimensional collection of all returns from all laser pulses as determined from the aerial mission. At this point this data is ready for analysis, classification, and filtering to generate a bare earth surface model in which the above ground features are removed from the data set. The point cloud was manipulated within the Optech or Leica software; GeoCue, TerraScan, and TerraModeler software was used for the automated data classification, manual cleanup, and bare earth generation from this data. Project specific macros were used to classify the ground and to remove the side overlap between parallel flight lines. All data was manually reviewed and any remaining artifacts removed using functionality provided by TerraScan and TerraModeler. Classified LAS Process: All ground (ASPRS Class 2) LiDAR data inside of the Lake Pond and Double Line Drain hydro flattening breaklines were then classified to water (ASPRS Class 9) using TerraScan macro functionality. A buffer of 1 meter was also used around each hydro flattened feature to classify these ground (ASPRS Class 2) points to ignored ground (ASPRS Class 10). All Lake Pond Island and Double Line Drain Island features were checked to ensure that the ground (ASPRS Class 2) were reclassified to the correct classification after the automated classification was completed. A new class has been added to the dataset to represent the bare water of the ocean areas collected throughout the project area. ASPRS Class 14 is being used to represent the bare water ocean surface. While attempts were made to remove all extraneous features above the surface of the water, there may be above surface features classified to this class. Some islands below the required collection specifications have been classified to this class as well. This class was also used during the creation of the ERDAS Imagine Raster DEM files. The Ocean Shoreline and Ocean Island breaklines were used to complete the automated classification of these classes within the final LAS files. 2012-01-01T00:00:00 2 All overlap data was processed through automated functionality provided by TerraScan to classify the overlapping flight line data to approved classes by USGS. The overlap data was classified to Class 17 (USGS Overlap Default), Class 18 (USGS Overlap Ground), Class 25 (USGS Overlap Water), and Class 30 (USGS Overlap Bare Water). These classes were created through automated processes only and were not verified for classification accuracy. Due to software limitations within TerraScan, these classes were used to trip the Withheld bit within various software packages. These processes were reviewed and accepted by USGS through multiple conference calls and pilot study areas. Data was then run through additional macros to ensure deliverable classification levels matching the ASPRS LAS Version 1.2 Classification structure. GeoCue functionality was then used to ensure correct LAS Versioning. In-house software was used as a final QA/QC check to provide LAS Analysis of the delivered tiles. QA/QC checks were performed on a per tile level to verify final classification metrics and full LAS header information. Hydro Flattening Breakline Process: Class 2 LiDAR was used to create a bare earth surface model. The surface model was then used to heads-up digitize 2D breaklines of inland streams and rivers with a 30 meter nominal width and Inland Ponds and Lakes of 8,000 sq. meters or greater surface area. Ocean Shoreline and Ocean Island features were collected at appropriate elevations on an overall review of the surface models to determine the land water breaklines. These features were used to determine the classification within the Classified LAS files. These features can be used to represent a flat water surface, but were not run through the same project quality control procedures as the inland water body features. Elevation differences between ocean shoreline and ocean islands will be found. This is due in large part to the coastal water elevation changes, found between missions, as well as flightline to flightline. Elevation values were assigned to all Inland Ponds and Lakes, Inland Pond and Lake Islands, Inland Stream and River Islands, Ocean Shoreline and Ocean Islands using TerraModeler functionality. Elevation values were assigned to all Inland streams and rivers using Photo Science proprietary software. All ground (ASPRS Class 2) LiDAR data inside of the collected inland breaklines were then classified to water (ASPRS Class 9) using TerraScan macro functionality. A buffer of 1 meter was also used around each hydro flattened feature. These points were moved from ground (ASPRS Class 2) to Ignored Ground (ASPRS Class 10). The breakline files were then translated to ESRI Shapefile format using ESRI conversion tools. Raster DEM Process: Using automated scripting routines within ArcMap, the ground (ASPRS Class 2) and bare water (USGS Class 14) were combined with the Hydro Flattened Breaklines (excluding the Ocean Shoreline and Ocean Island line types) to create the 1 meter DEM. Final DEM tiles were clipped to the project tile boundary to provide a seamless dataset. ERDAS IMG files were then created as the project deliverable. A manual QA review of the tiles was completed in ArcMap and Global Mapper to ensure full coverage with no gaps or slivers within the project area. 2012-01-01T00:00:00 3 The NOAA Office for Coastal Management (OCM) received the topographic files in .LAS format from USGS and the Maine Office of GIS. The classified .LAS files contained lidar elevation and intensity measurements. The data were received in UTM Zone 18N/19N, NAD83 coordinates and were vertically referenced to NAVD88 using the Geoid09 model. The vertical units of the data were meters. OCM performed the following processing for data storage and Digital Coast provisioning purposes: 1. The topographic .LAS files were compressed using LAStools' laszip software. 2. The topographic .LAS files were converted from a Projected Coordinate System (UTM Zone 18N/19N) to a Geographic Coordinate system (NAD83). 3. The topographic .LAS files were converted from orthometric NAVD88 to NAD83 ellipsoidal heights using Geoid09. 2018-06-12T00:00:00 Organization Office for Coastal Management OCM https://ror.org/05v14bq57 2234 South Hobson Avenue Charleston SC 29405-2413 https://www.coast.noaa.gov/ gov.noaa.nmfs.inport:49844 Anne Ball 2017-11-15T15:22:41 SysAdmin InPortAdmin 2026-03-04T19:17:17 2022-03-16 OCM Partners OCMP 1002 Public No No 2022-03-16 1 Year 2023-03-16