gov.noaa.nmfs.inport:49870 eng UTF8 dataset OCM Partners resourceProvider NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information pointOfContact 2026-04-30T00:00:00 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) 2007 Northwest Florida Water Manangement District (NWFWMD) Lidar: 5 Counties (Jackson, Calhoun, Washington, Liberty, Holmes) nwfwmd2007_5counties_m579_metadata 2008-01 publication NOAA/NMFS/EDM 49870 https://www.fisheries.noaa.gov/inport/item/49870 WWW:LINK-1.0-http--link Full Metadata Record View the complete metadata record on InPort for more information about this dataset. information https://coast.noaa.gov WWW:LINK-1.0-http--link Citation URL Online Resource download https://coast.noaa.gov/dataviewer WWW:LINK-1.0-http--link Citation URL Online Resource download 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. Merrick & Company completed NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information pointOfContact NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information custodian asNeeded bare earth binary canopy theme Lidar - partner (no harvest) project InPort otherRestrictions Cite As: OCM Partners, [Date of Access]: 2007 Northwest Florida Water Manangement District (NWFWMD) Lidar: 5 Counties (Jackson, Calhoun, Washington, Liberty, Holmes) [Data Date Range], https://www.fisheries.noaa.gov/inport/item/49870. NOAA provides no warranty, nor accepts any liability occurring from any incomplete, incorrect, or misleading data, or from any incorrect, incomplete, or misleading use of the data. It is the responsibility of the user to determine whether or not the data is suitable for the intended purpose. otherRestrictions Access Constraints: none otherRestrictions 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. otherRestrictions Distribution Liability: Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners. unclassified vector eng; US elevation Microsoft Windows XP version 5.1 (Build 2600, Service Pack 2); ArcGIS Desktop 9.1; ArcGIS Workstation 9.1; MARS 4.0 -85.894507 -84.828007 30.193492 31.006292 | Currentness: Ground Condition 2007-11-12 2008-01-20 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 false eng false All deliverables meet specifications in contract. LAS Files meet ASPRS Classification Standards. NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information distributor https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=579 WWW:LINK-1.0-http--link Customized Download Create custom data files by choosing data area, product type, map projection, file format, datum, etc. download https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/579/index.html WWW:LINK-1.0-http--link Bulk Download Simple download of data files. download dataset Accuracy 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 Positional Accuracy 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. Vertical Positional Accuracy 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. Completeness Report This dataset contains classified returns of the LIDAR sensor. The sensor data was verified in MARS software to ensure complete coverage. Conceptual Consistency 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. 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 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 Source Contribution: GPS control network for LIDAR acquisition and processing. | Source Geospatial Form: spreadsheet | Type of Source Media: spreadsheet Ground Control 2007-03-17 publication 2007-11-12 Source Contribution: LIDAR points form the basis of the DTM surface. | Source Geospatial Form: point digital data | Type of Source Media: digital data LIDAR 2007-03-17 publication 2007-11-12 2008-01-20