49870 nwfwmd2007_5counties_m579_metadata Data Set Published / External 49401 Lidar - partner (no harvest) Project Completed 2008-01 LIDAR-derived binary (.las) files containing points classified as bare-earth and canopy (first return) were produced for the 2007/2008 Northwest Florida Water Management District - 5 Counties (Calhoun, Washington, Jackson, Liberty, Holmes), Florida lidar mapping project. ESRI GRIDs of bare earth points are also provided. The files were provided in a scheme of FDEM-derived 5,000 x 5,000 foot (1500 x 1500 meter) tiles. Horizontal mapping units are in UTM meters, vertical mapping units are in U.S. survey feet. The total mapping area covers approximately 2102 square miles. Original contact information: Contact Name: Mr John Crowe Contact Org: Northwest Florida Water Management District Title: Associate Hydrologist, Division of Resource Management Phone: 850-539-5999 Email: ron.bartel@nwfwmd.state.fl.us The purpose of the project is to produce accurate, high-resolution data for planning, analysis, and for use with other datasets. Merrick obtained LiDAR data over approximately 2,102 square miles covering all or portions of 5-Counties in Florida. The LiDAR data has been processed to result in a data set that is suitable for the future generation of 2-foot contours. These data will be used to support FEMA's Map Modernization Program through the creation of high-resolution digital elevation models (DEMs). These DEMs support a variety of applications, including improved floodplain delineation, hydrologic and hydraulic modeling, hazard mapping as well as other planning activities. 10514 A footprint of this data set may be viewed in Google Earth at: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/579/supplemental/2007_NWFWMD_5_Counties_Lidar.kmz The Lidar Mapping Report (including sensor information, collection parameters, etc.) for this data set may be viewed at: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/579/supplemental/NWFWMD_5_Counties_Lidar_Mapping_Report.pdf Theme ISO 19115 Topic Category elevation Theme bare earth Theme binary Theme canopy Office for Coastal Management Charleston SC Data Set As Needed LAS data Lidar points are attributed with the following classifications: 1 - Unclassified 2 - Ground (bare earth) Lidar intensity values range from 0-255. Lidar return values range from 1-3. Flight line numbers range from 1-19. All deliverables meet specifications in contract. LAS Files meet ASPRS Classification Standards. Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners. Merrick & Company Data Steward 2008-01 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 2008-01 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 2008-01 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 2008-01 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 -85.894507 -84.828007 31.006292 30.193492 Range 2007-11-12 2008-01-20 Yes Unclassified This data can be obtained on-line at the following URL: https://coast.noaa.gov/dataviewer The data set is dynamically generated based on user-specified parameters. ; 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. https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=579 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/geoid18/579/index.html Bulk Download Simple download of data files. https://coast.noaa.gov Online Resource https://coast.noaa.gov/dataviewer Online Resource 2016-05-23 Date that the source FGDC record was last modified. 2017-11-14 Converted from FGDC Content Standard 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. Microsoft Windows XP version 5.1 (Build 2600, Service Pack 2); ArcGIS Desktop 9.1; ArcGIS Workstation 9.1; MARS 4.0 Verification of attribute accuracy of LIDAR data involves the use of filtering techniques. Auto-filtering uses algorithms to reclassify data in the point cloud. Hand-filtering involves the use of a technician working in a graphic environment to reclassify the erroneous points that may remain in the LIDAR point cloud after auto filter. Horizontal accuracy is verified in three tests. During boresighting, adjoining flightlines are view in profile and hard edged features are observed and if necessary the flightlines are adjusted for good relative horizontal and vertical fit. The second test for horizontal accuracy is by comparing raw contours from each flightline against adjoining flightlines at specific points. The final test is the vertical LIDAR control report. Survey control points were used to validate the accuracy of the LIDAR surface model after automatic and hand filtering. This surface exceeds the NSSDA consolidated vertical accuracy specifications of 36.3 cm (1.19 ft) at the 95% confidence level. ; Quantitative Value: 0.15 meters, Test that produced the value: RMSEz (m) based upon comparison of 176 survey checkpoint z-values with those of a bare-earth generated surface model at same geographic location. This dataset contains classified returns of the LIDAR sensor. The sensor data was verified in MARS software to ensure complete coverage. Calibrations of the LIDAR flightline data are performed; this process is known as boresighting. The flightlines are compared to evaluate both their relative and absolute accuracies. Ground Control 2007-03-17 Discrete 2007-11-12 GPS control network for LIDAR acquisition and processing. | Source Geospatial Form: spreadsheet | Type of Source Media: spreadsheet LIDAR 2007-03-17 Range 2007-11-12 2008-01-20 LIDAR points form the basis of the DTM surface. | Source Geospatial Form: point digital data | Type of Source Media: digital data 1 LIDAR data was collected using Merrick's ALS50 Phase 2 sensor. The raw data was verified in MARS software for complete coverage of the project area, and boresighted to align the flightlines. Raw data files were parsed into manageable client-specific tiles. These tiles were then processed through automated filtering that separates the data into different classification groups: error points, ground points, and canopy/building points. The data was next taken into a graphic environment to reclassify the erroneous points that may remain in the LIDAR point cloud after auto filter. 2007-06-11T00:00:00 LIDAR 2 The NOAA Office for Coastal Management (OCM) received files in LAS format. The files contained LiDAR intensity and elevation measurements. OCM performed the following processing on the data for data storage purposes and Digital Coast provisioning: 1. The data were converted from projected UTM (NAD83, Zone 16) coordinates to geographic (NAD83) 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 2011-04-29T00:00:00 LIDAR gov.noaa.nmfs.inport:49870 Anne Ball 2017-11-15T15:22:52 SysAdmin InPortAdmin 2022-08-09T17:11:38 2022-03-16 OCM Partners OCMP 1002 Public No No 2022-03-16 1 Year 2023-03-16