49764 la2012_usace_new_orleans_m6350_metadata Data Set Published / External 49401 Lidar - partner (no harvest) Project Completed 2017-08-12 Acquisition of Light Detection and Ranging (LiDAR) elevation data was for the Hurricane and Storm Damage Risk Reduction System (HSDRRS). In February 2012, USACE, Contracting Division contracted with The Atlantic Group to provide acquisition of Light Detection and Ranging (LiDAR) elevation data in the Hurricane and Storm Damage Risk Reduction System, St. Charles, Jefferson, Orleans, St. Bernard and Plaquemines Parishes, LA. This data will be used to support interior drainage modeling. LiDAR data should be collected to fully capture the total interior of the HSDRRS, including floodwalls, structures, and levees, and 200 feet outside of the HSDRRS to water's edge as appropriate. The project shall include capture of LiDAR data and the creation of digital elevation models derived from the LiDAR. The project area is approximately 418.4 sq. miles, including a 200' buffer. The purpose of the survey is to obtain measurements of the bare ground surface, as well as top surface feature elevation data for providing geometry input to USACE hydrodynamic and other numerical models as well as for performing economic related assessments. Upon receipt of data, the NOAA Office for Coastal Management (OCM) noted that many areas have lidar points over water that are classified as ground. This was mainly seen in lidar points over Lake Pontchartrain. In these areas, those points were reclassified from ground (2) to unclassified (1). In other areas, however, the user should be aware that points over water may be classified as ground. In addition to the lidar point data, bare earth Digital Elevation Models (DEMs), at a 2 ft grid spacing, created from the lidar point data are also available. These data are available for download here: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=6352 Breaklines created from the lidar are also available for download in shp format at: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/6350/breaklines The DEM and breakline products have not been reviewed by the NOAA Office for Coastal Management (OCM) and any conclusions drawn from the analysis of this information are not the responsibility of NOAA, OCM or its partners. Original contact information: Contact Name: Patrick Robinson Contact Org: Atlantic Group Title: LiDARManager Phone: 256-971-9991 Email: probinson@theatlgrp.com The purpose of the survey is to obtain measurements of the bare ground surface, as well as top surface feature elevation data for providing geometry input to USACE hydrodynamic and other numerical models as well as for performing economic related assessments. 10408 The lidar report may be accessed here: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/6350/supplemental/la2012_usace_new_orleans_m6350_lidar_report.pdf The survey report may be accessed here: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/6350/supplemental/la2012_usace_new_orleans_m6350_survey_report.pdf Theme ISO 19115 Topic Category elevation Theme ArcMap Theme Corps of Engineers Theme ESRI Theme HSDRRS Theme Hurricane Theme New Orleans District Theme Risk Reduction System Office for Coastal Management Charleston SC Data Set As Needed Any conclusions drawn from the analysis of this information are not the responsibility of the Atlantic Group, USACE, NOAA, the NOAA Office for Coastal Management (OCM) or its partners. Paul Weyant, Patrick Robinson, Josh Hester 50225 LAS Published / External Completed GPS, IMU, and laser pulse range data | Description Source: ASPRS LiDAR Data Exchange Format Standard version 1.2 Converted from FGDC using 'fgdc_to_inport_xml_entity.pl' script. 1 X_Coord Unknown No No Active Easting Coordinate | Description Source: ASPRS LiDAR Data Exchange Format Coordinates defining the features. 2 Y_coord Unknown No No Active North Coordinate | Description Source: ASPRS LiDAR Data Exchange Format Coordinates defining the features. 3 Z_coord Unknown No No Active Elevation above Sea-Level | Description Source: ASPRS LiDAR Data Exchange Format Coordinates defining the features. 4 Intensity Unknown No No Active Strength of return value within a given range (0-255) | Description Source: ASPRS LiDAR Data Exchange Format Intensity value 5 Return Unknown No No Active The number of returns for a given pulse | Description Source: ASPRS LiDAR Data Exchange Format Number of returns 6 Scan Direction Flag Unknown No No Active Direction the scanner mirror was traveling at the time of the output pulse | Description Source: ASPRS LiDAR Data Exchange Format Scan direction 7 Edge of Flightline Unknown No No Active It is the last point on a given scan line before it changes direction | Description Source: ASPRS LiDAR Data Exchange Format Edge of flightline 8 Classification Unknown No No Active Assigned Point Classification | Description Source: ASPRS LiDAR Data Exchange Format Point classification Data Steward 2017-08-12 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 2017-08-12 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 2017-08-12 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 2017-08-12 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 -90.609656 -89.609035 30.169328 29.632568 Range 2012-03-04 2012-03-25 Yes Unclassified N/A Nothing Specified This data can be obtained on-line at the following URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=6350; None None. However, users should be aware that temporal changes may have occurred since this dataset was 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. Acknowledgement of the U.S. Geological Survey would be appreciated for products derived from these data. https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=6350 Customized Download Create custom data files by choosing data area, product type, map projection, file format, datum, etc. https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/6350/index.html Bulk Download Simple download of data files. https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/6350/supplemental/la2012_usace_new_orleans_m6350.kmz Browse Graphic Browse Graphic kmz This graphic shows the lidar footprint for the 2012 USACE HSDRRS New Orleans project area. https://coast.noaa.gov Online Resource https://coast.noaa.gov/dataregistry Online Resource https://coast.noaa.gov/dataviewer Online Resource 2017-08-18 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. ArcMAP V.10.1 ; LP360 V.2011.1.54.1 ; Microstation V8 ; ALTMnav ; Dashmap ; A minimum of 20 test points where selected for each land cover class (except HSDRRS Class 7) identified per 100 Sq miles. Therefore, 120 test points were selected for the six land cover classes specified above per 100 Sq miles, plus 20 test points each for any additional land cover classes added. Additionally, test points were geographically distributed throughout the project area. Test points were carefully selected in areas of the highest PDOP to evaluate DEM accuracy under trees and in vegetation representative of the study area. A minimum of 50 test points was collected along the HSDRRS levees to enable an accuracy assessment for the HSDRRS. These levee test points where spaced at least 0.25 miles apart, but they do not need to cover the entire HSDRRS levee system. The data must meet the NSSDA RMSEr of 2.2 ft (0.67 m) and the NSSDA Accuracyr of 95% confidence level is 3.80 ft (1.16 m). Horizontal point accuracy is a function of angular origination of the pulse; IMU orientation; the scanner encoder and ranging function and will vary depending on the proposed point density selected for the collection. Statistically, the error is roughly 1/3 of the illuminated foot print on the ground and is a function of the beam divergences. Based on the vertical accuracy testing conducted by The Atlantic Group, LLC using NSSDA methodology, the dataset tested 12.2 cm for vertical accuracy at 95% confidence level in open terrain. LiDAR vertical data accuracy determination shall employ the National Standard for Spatial Data Accuracy (NSSDA). Contracted to meet 18cm (RMSE) or better. All data is complete to standards as specified.LIDAR raster data is visually inspected for completeness to ensure that any gaps between flight lines of required collection area. LIDAR is self-illuminating and has minimal cloud penetration capability. Water vapor in steam plumes or particulates in smoke may cause reflection of LIDAR signals and loss of elevation information beneath these plumes. Glass structures and roofs may appear transparent to the LIDAR signal and therefore may not register on the reflective surface. QC/QA process shall include reviews of flight alignments and completeness of supporting data. The USACE New Orleans district or its designee may perform additional QC/QA testing. The root mean square error (RMSE) is used to estimate both horizontal and vertical accuracy. RMSE is the square root of the average of the set of squared differences between dataset coordinate values and coordinate values from an independent source. Bare-earth processed data for this acquisition block comply with the following accuracy requirements for Artifact/Feature removal: artifacts - 90%; outliers - 95%; vegetation - 95%; buildings - 98%. All LAS formatted LIDAR data are validated using commercial GIS software to ensure proper formatting and loading before delivery. This validation procedure ensures that data on delivery media is in correct physical format and is readable. of higher accuracy for identical points. If those differences are normally distributed and average zero, 95 percent of any sufficiently large sample should be less than 1.96 times the RMSE. Therefore 9-centimeter RMSE can be referred to as "18-centimeter accuracy at the 95-percent confidence level." Following that convention, the vertical accuracy of any DEM is defined as 1.96 times the RMSE of linearly interpolated elevations in the DEM, as compared with known elevations from high-accuracy test points. DEMs should have a maximum RMSE as specified to meet its required vertical accuracy. The contractor must field verify the vertical accuracy of this DEM to ensure that the RMSE requirement is satisfied for all land cover classes that predominate within the floodplain being studied. LiDAR Acquisition for the Hurricane and Storm Damage Risk Reduction System Range 2012-03-04 2012-03-25 Lidar | Source Geospatial Form: remote-sensing image | Type of Source Media: digital tape media 1 The ABGPS, IMU, and raw Optech LiDAR data are integrated into the Optech post processor software. The resultant file is in a LAS binary file format. The LAS file version 1.2 format can be easily transferred from one file format to another. It is a binary file format that maintains information specific to the LiDAR data (return#, intensity value, xyz, etc.). The resultant points are produced in the geodetic coordinates referenced to the NAD83 horizontal datum and NAVD88 2004.65 vertical datum. 2012-01-01T00:00:00 2 The unedited data are classified to facilitate the application of the appropriate feature extraction filters. A combination of proprietary filters is applied as appropriate for the production of bare earth digital terrain models (dtms). Interactive editing methods are applied to those areas where it is inappropriate or impossible to use the feature extraction filters, based upon the design criteria and/or limitations of the relevant filters. These same feature extraction filters are used to produce elevation height surfaces. The LiDAR mass points were delivered in American Society for Photogrammetry and Remote Sensing LAS 1.2 format. The header file for each dataset is complete as define by the LAS 1.2 specification. The data was classified as follows: Class 1 = Unclassified. This class includes all non-ground classified points. Class 2 = Ground. Class 7 = Low Points. Class 9 = water. Class 12 = Overlap. 2012-01-01T00:00:00 3 Conversion from Geodetic coordinates NAD83 into Louisiana state plane zone 1702 using NAD83 and conversion from ellipsoid heights (meters) into orthometric heights using NAVD88 (US Survey Foot). Files are orthogonally tiled based to a 1500m x 1500m extent, and labeled with a "Tile_ID" attribute. 2012-01-01T00:00:00 4 The NOAA Office for Coastal Management (OCM) received 525 files in las 1.2 format. LAS files from the 2004.65 folder were processed. The files contained lidar intensity and elevation measurements for the USACE HSDRRS project area. The data were in LA State Plane, Zone 1702 (NAD83 2007) coordinates and in NAVD88 elevations in feet. OCM performed the following processing on the data for Digital Coast storage and provisioning purposes: 1. The data were converted from las to laz format. 2. Spaces in the filenames were converted to underscores. 3. The LAStools software scripts lasinfo and lasvalidate were run on the las files to check for errors. 4. The data were converted from GPS seconds of the week to adjusted GPS time. 5. In 46 files, reclassified points that were over Lake Pontchartrain from ground (2) to unclassified (1). 6. Reclassified outlier elevation points (greater than 2000 ft and less than -100 ft) to noise (7). 7. Internal OCM scripts were run to convert the files from LA State Plane Zone 1702 coordinates to geographic coordinates and to convert from NAVD88 elevations in feet to ellipsoid elevations in meters using Geoid09. 8. Internal OCM scripts were run on the las files to assign the geokeys, to sort the data by gps time and zip the data to database and to http. 2017-08-15T00:00:00 50225 Entity gov.noaa.nmfs.inport:49764 Anne Ball 2017-11-15T15:22:09 SysAdmin InPortAdmin 2022-08-09T17:11:36 2022-03-16 OCM Partners OCMP 1002 Public No No 2022-03-16 1 Year 2023-03-16