Identification_Information: Citation: Citation_Information: Originator: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Coastal Services Center (CSC) Publication_Date: 20111114 Title: 2008 USGS South New Jersey County Project Lidar: Portion of Salem County Geospatial_Data_Presentation_Form: LAS Publication_Information: Publication_Place: Charleston, SC Publisher: NOAA's Ocean Service, Coastal Services Center (CSC) Other_Citation_Details: This data set has been extracted from one much larger. See the URL for the location of this larger data set. Online_Linkage: http://www.csc.noaa.gov/lidar Online_Linkage: http://www.csc.noaa.gov Description: Abstract: The South New Jersey County Lidar Project is to provide LiDAR data for the New Jersey Department of Environmental Protection (NJ-DEP) for Cape May, Cumberland, and part of Salem Counties in New Jersey. These datasets will be the initial acquisition to support the United States Geological Survey (USGS) and the New Jersey Department of Environmental Protection (NJ-DEP). This LiDAR data set was collected in April 2008 for the bay side of Salem County and covers 76 square miles. The data are classified as follows: Class 1 - Unclassified/Extracted Features Class 2 - Bare Earth, Ground Class 9 - Water Class 12 - Overlap This data set is an LAS format file containing LIDAR point cloud data with 1042657 points. The data set was extracted from a larger classified data set and only includes points classified as Unclassified and Never Classified within the requested geographic bounds. Purpose: The South New Jersey County Lidar project is to provide LiDAR data for New Jersey Department of Environmental Protection (NJ-DEP). This project acquired and produced high accuracy bare-earth processed LiDAR data in LAS format and 2.0-meter Digital Elevation Models (DEMs) in ArcGrid format for approximately 874 square miles covering the 3 New Jersey counties of Cape May, Cumberland, and part of Salem that is south and west of the Coastal Area Facility Review Act (CAFRA) line. Supplemental_Information: A footprint of this data set may be viewed in Google Earth at: ftp://ftp.csc.noaa.gov/pub/crs/beachmap/qa_docs/nj/2008_USGS_South_NJ_Lidar_Salem_County.kmz The following were the data acquisition parameters: Technical Acquisition Parameters: Utilizing Leica ALS50 II laser systems which can collect data at laser pulse rates up to 150 KHz, Photo Science flew the project area at 5,000 feet AGL and utilized a 29 degree full-angle field of view. Flights were accomplished nominally at 115 knots (ground speed) with a pulse rate of 73,500 Hz (73.5 KHz), collecting four returns per pulse. The scan rate was be set at 42 Hz. These settings resulted in a swath of 2,586 feet with maximum along track and cross track spacing of 4.62 feet (1.41 meters). Environmental Acquisition Conditions: Leaf-Off, snow free, non-flood conditions, low tide. Low tide: Acquisition was performed within a window of +/- 3 hours from mean low tide for the project area (flight windows that occur twice a day, that are approximately six hours in length but could be longer depending on the lunar cycle). Low tide is defined as when the height of tide is different from Mean Lower Low water by fifty percent (50%) of the tide range or less as predicted by the National Oceanic and Atmospheric Administration (NOAA), National Oceanic Service (NOS) Center for Operational Oceanographic Product and Services (http://www.co-ops.nos.noaa.gov/). All flight lines affected by tide stage were coordinated with predicted tides at existing gauges at Cape May, Ship John Shoal, and Reedy Point. Nominal Pulse density: Average point density is 1.58 points per sq meter Average point spacing is 0.8 meters, or 8 decimeters Calibration procedures: Photo Science has created a significant boresight facility at the Frankfort, KY airport where the Lidar platforms are stationed when not in service. Boresighting at this facility takes place with our Lidar sensors at numerous times throughout the year. Additionally, a mini-calibration site was established at the Millville Municipal Airport at the project site. Additional calibration flights were conducted over this site to ensure accurate determination of the calibration parameters throughout the times of acquisition. GPS: Acquisition for this project was broken into three sub areas with base stations from the NGS database selected near the center of each acquisition area to serve as control for all lifts. Ground based GPS receivers were occupied at these stations during all aerial collection. The published NGS positions of these base stations and raw GPS observation data were used in the kinematic GPS post-processing of all lifts to provide positioning for the point clouds produced for this project. Maximum and mean differential baseline lengths: Nominal Maximum base line distance = 20 Miles Mean base line distance = 11 Miles Geoid Model Used: Geoid 03 was used for all elevation conversions to orthometric heights. Reference System: Horizontal: New Jersey State Plane Coordinate System, 1983 North American Datum, feet Elevation in North American Vertical Datum of 1988 (NAVD88), meters Time_Period_of_Content: Time_Period_Information: Single_Date/Time: Calendar_Date: 200804 Currentness_Reference: ground condition Status: Progress: Complete Maintenance_and_Update_Frequency: Unknown Spatial_Domain: Bounding_Coordinates: West_Bounding_Coordinate: -75.50213965 East_Bounding_Coordinate: -75.48528101 North_Bounding_Coordinate: 39.66691931 South_Bounding_Coordinate: 39.64992347 Keywords: Theme: Theme_Keyword_Thesaurus: ISO 19115 Topic Category Theme_Keyword: elevation Theme: Theme_Keyword_Thesaurus: None Theme_Keyword: Bathymetry/Topography Theme_Keyword: Light Detection and Ranging Theme_Keyword: LiDAR Place: Place_Keyword_Thesaurus: None Place_Keyword: US Place_Keyword: New Jersey Place_Keyword: Salem County Access_Constraints: This data set was compiled dynamically, and will exist on ftp.csc.noaa.gov/pub/crs/beachmap/data until 10 days after 11/14/2011, as Job82218_2008_NJ_Salem.zip. After 10 days this file will be deleted from the system. Use_Constraints: Users should be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its limitations. Data_Set_Credit: Acknowledgment of the U.S. Geological Survey would be appreciated for products derived from these data. Data_Quality_Information: Attribute_Accuracy: Attribute_Accuracy_Report: The following aspects of the LiDAR data was verified during the course of the project processing: -Data accuracy and errors -Anomaly checks through full-feature hillshades and 3-D modeling -Post automated classification Bare-earth verification -Final quality control of deliverable products ensuring integrity, graphical quality Logical_Consistency_Report: All LAS formatted LiDAR data are validated to ensure that data on delivery media is in correct physical format and is readable and correctly georeferenced and projected. Note that LiDAR intensity is not calibrated or normalized. Completeness_Report: Data completeness and integrity was verified. Positional_Accuracy: Horizontal_Positional_Accuracy: Horizontal_Positional_Accuracy_Report: Compiled to meet 1 m horizontal accuracy Vertical_Positional_Accuracy: Vertical_Positional_Accuracy_Report: Independent accuracy testing was performed by Dewberry using 60 high accuracy quality control checkpoints distributed around Salem, Cumberland, and Cape May County on near level open bare terrain, urban terrain and near level vegetated terrain. Dewberry uses testing procedures consistent with those specified in the National Standard for Spatial Data Accuracy (NSSDA). Target equivalent to 2 ft contours: 0.363 m FVA - Fundamental Vertical Accuracy in open terrain (RMSEz x 1.9600): 0.13 m; CVA - Consolidated Vertical Accuracy (95th Percentile) all categories: 0.16 m; SVA - Supplemental Vertical Accuracy (95th Percentile) in mixed vegetation: 0.18 m; SVA - Supplemental Vertical Accuracy (95th Percentile) in urban: 0.12 m; 13 points are included inside the Salem dataset, the consolidated accuracy (95th Percentile all categories) for these points is 0.12 m. Quantitative_Vertical_Positional_Accuracy_Assessment: Vertical_Positional_Accuracy_Explanation: National Standard for Spatial Data Accuracy. Using NSSDA standards, this LiDAR dataset was tested 0.13 m fundamental vertical accuracy at 95% confidence level in open terrain using RMSEz x 1.9600, compared to 0.363 m for 2 ft equivalent contour. Vertical_Positional_Accuracy_Value: 0.13 Lineage: Source_Information: Source_Citation: Citation_Information: Originator: Photo Science, Inc. Publication_Date: unpublished material Title: LiDAR Geospatial_Data_Presentation_Form: digital data Type_of_Source_Media: hard drive Source_Time_Period_of_Content: Time_Period_Information: Range_of_Dates/Times: Beginning_Date: 20080408 Ending_Date: 20080417 Source_Currentness_Reference: ground condition Source_Citation_Abbreviation: LiDAR Source_Contribution: LiDAR points were used to produce the deliverables. Process_Step: Process_Description: Leica software was used in the post processing of the airborne GPS and inertial data that is critical to the positioning of the sensor during all flights. This software suite includes Applanix's PosPac and Waypoint's GrafNav solutions. PosPac provides the smoothed best estimate of trajectory (SBET) that is necessary for Leica'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 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. The project was tiled adhering to the State of New Jersey 5000'x 5000' tile schema and each tile was saved in LAS format 1.1 including GPS time. Note: The Julian date and year written in the LAS header is actually the file creation date and has no connection to the acquisition date. However the GPS time (second of the week) is registered for each point in the LAS file and the week of acquisition can be deduced from the file name which include the GPS week (1474 = week starting 04/06/2008; 1475 = week starting 04/13/2008). When an area includes data from flightlines acquired over two different GPS weeks, separate files for the data captured in each of the weeks are delivered. For example tile B18D14 has data from both weeks; therefore there are two separate files: B18D14_1474.LAS & B18D14_1475.LAS. Source_Used_Citation_Abbreviation: LiDAR Process_Date: 20080715 Source_Produced_Citation_Abbreviation: LiDAR post-processed data Process_Step: Process_Description: A Terrascan macro was used to classify the Lidar points inside rivers and lakes from class 2 to class 9. This classification was visually inspected by comparing the bare earth class against the hydro breaklines. Then the elevations were converted from feet to meters to meet the final delivery specifications. Source_Used_Citation_Abbreviation: Lidar post-processed data Source_Used_Citation_Abbreviation: Hydro breaklines Process_Date: 200807 Source_Produced_Citation_Abbreviation: Lidar classified Process_Contact: Contact_Information: Contact_Organization_Primary: Contact_Organization: Dewberry - Geospatial Services Group Contact_Address: Address_Type: mailing and physical Address: 8401 Arlington Boulevard City: 22031 State_or_Province: VA Postal_Code: 22031 Country: USA Contact_Voice_Telephone: 703.849.0100 Process_Step: Process_Description: The NOAA Coastal Services Center (CSC) received files in LAS format. The files contained LiDAR intensity and elevation measurements. CSC performed the following processing on the data to make it available within Digital Coast: 1. The data were converted from New Jersey State Plane coordinates to geographic coordinates. 2. The data were converted from NAVD88 heights to ellipsoid heights using Geoid03. 3. The LAS header fields were sorted by latitude and updated. Process_Date: 201007 Process_Contact: Contact_Information: Contact_Organization_Primary: Contact_Organization: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Coastal Services Center (CSC) Contact_Position: CEM Project Scientist Contact_Address: Address_Type: mailing and physical Address: 2234 South Hobson Ave. City: Charleston State_or_Province: SC Postal_Code: 29405 Country: US Contact_Voice_Telephone: 843-740-1200 Contact_Electronic_Mail_Address: tcm@csc.noaa.gov Process_Step: Process_Description: The vertical values in this data set have been converted to reference NAVD88, using the GEOID09 grids provided by the National Geodetic Survey. For Puerto Rico and the Virgin Islands, the GEOID03 grids have been used. Process_Date: 20111114 Process_Step: Process_Description: The data values in this data set were extracted from one or more LAS files with the Coastal Services Center 'las_merge' program. Any datum and projection transformations were then done with the 'datum_shift' program. Process_Date: 20111114 Process_Step: Process_Description: The data values in this data set have been projected. This projection is noted in another section of this metadata record. The projection library used was derived from the General Cartographic Transform Program developed by the United States Geological Survey, National Mapping Division. Process_Date: 20111114 Process_Contact: Contact_Information: Contact_Organization_Primary: Contact_Organization: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Coastal Services Center (CSC) Contact_Position: Coastal Elevation Mapping (CEM) Project Scientist Contact_Address: Address_Type: mailing and physical Address: 2234 South Hobson Avenue City: Charleston State_or_Province: South Carolina Postal_Code: 29405 Country: United States Contact_Voice_Telephone: (843) 740-1200 Contact_Electronic_Mail_Address: tcm@csc.noaa.gov Spatial_Data_Organization_Information: Direct_Spatial_Reference_Method: Vector Point_and_Vector_Object_Information: SDTS_Terms_Description: SDTS_Point_and_Vector_Object_Type: String Spatial_Reference_Information: Horizontal_Coordinate_System_Definition: Planar: Grid_Coordinate_System: Grid_Coordinate_System_Name: State Plane Coordinate System 1983 State_Plane_Coordinate_System: SPCS_Zone_Identifier: 2900 Planar_Coordinate_Information: Planar_Coordinate_Encoding_Method: coordinate pair Coordinate_Representation: Abscissa_Resolution: 0.280774087806229 Ordinate_Resolution: 0.3647066112 Planar_Distance_Units: survey feet Geodetic_Model: Horizontal_Datum_Name: North American Datum of 1983 Ellipsoid_Name: Geodetic Reference System 80 Semi-major_Axis: 6378137 Denominator_of_Flattening_Ratio: 298.257 Vertical_Coordinate_System_Definition: Altitude_System_Definition: Altitude_Datum_Name: North American Vertical Datum of 1988 Altitude_Resolution: 0.0328 Altitude_Distance_Units: feet Altitude_Encoding_Method: Explicit elevation coordinate included with horizontal coordinates Entity_and_Attribute_Information: Overview_Description: Entity_and_Attribute_Overview: Attributes included: x, y, z to two significant digits; intensity and class as integers. Also includes echo return, time stamp, etc. Entity_and_Attribute_Detail_Citation: LiDAR point data in LAS 1.1; ASPRS classification scheme: Class 1 - Unclassified/Extracted Features; Class 2 - Bare Earth Ground; Class 9 - water; Class 12 - overlap. Distribution_Information: Distributor: Contact_Information: Contact_Organization_Primary: Contact_Organization: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Coastal Services Center (CSC) Contact_Person: CEM Project Scientist Contact_Address: Address_Type: mailing and physical Address: 2234 South Hobson Ave. City: Charleston State_or_Province: South Carolina Postal_Code: 29405 Country: USA Contact_Voice_Telephone: 843-740-1200 Contact_Electronic_Mail_Address: tcm@csc.noaa.gov Hours_of_Service: 9:00am - 5:00pm Resource_Description: Downloadable Data Distribution_Liability: Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Coastal Services Center or its partners. Custom_Order_Process: This data can be obtained on-line at the following URL: http://www.csc.noaa.gov/lidar The data set is dynamically generated based on user-specified parameters. Metadata_Reference_Information: Metadata_Date: 20100805 Metadata_Contact: Contact_Information: Contact_Organization_Primary: Contact_Organization: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Coastal Services Center (CSC) Contact_Person: CEM Project Scientist Contact_Address: Address_Type: mailing and physical Address: 2234 South Hobson Ave. City: Charleston State_or_Province: South Carolina Postal_Code: 29405 Country: USA Contact_Voice_Telephone: 843-740-1200 Contact_Electronic_Mail_Address: tcm@csc.noaa.gov Hours_of_Service: 9:00am - 5:00pm Metadata_Standard_Name: FGDC Content Standards for Digital Geospatial Metadata Metadata_Standard_Version: FGDC-STD-001-1998