gov.noaa.nmfs.inport:48209 eng UTF8 dataset Office for Coastal Management 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 2024-02-29T00:00:00 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) 2006 Florida LiDAR: Escambia, Santa Rosa, and Walton Counties nwfwmd2006_m57_metadata 2007 publication NOAA/NMFS/EDM 48209 https://www.fisheries.noaa.gov/inport/item/48209 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 ESCAMBIA: The Light Detection and Ranging (LiDAR) LAS dataset is a survey of select areas within Escambia County, Florida. These data were produced for Dewberry and Davis LLC. The Escambia County LiDAR Survey project area consists of approximately 803 square miles. The LiDAR point cloud was flown at a density sufficient to support a maximum final post spacing of 6 feet for unobscured areas. Land Air mapping acquired 110 flightlines between June 21, 2006 and July 18, 2006. The data was divided into 5000' by 5000' foot cells that serve as the tiling scheme. The Escambia County LiDAR Survey was collected under the guidance of a Professional Mapper/Surveyor. Dates of Collection: 20060621-20060718 Contractor: Dewberry and Davis, LLC SANTA ROSA: LiDAR data collection was performed utilizing a Leica ALS-50 sensor, collecting multiple return x, y, and z data as well as intensity data. LiDAR data was processed to achieve a bare ground surface. LiDAR data was delivered in LAS format. Dates of Collection: 20060112-20060228 Contractor: Photo Science, Inc. WALTON: LIDAR data is remotely sensed high-resolution elevation data collected by an airborne collection platform. Using a combination of laser range finding, GPS positioning and inertial measurement technologies; LIDAR instruments are able to make highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures and vegetation. This data of Walton County, Florida, was collected at sub-meter resolution to provide average point spacing of 0.7m for collected points. Up to 5 returns were recorded for each pulse in addition to an intensity value. No data for Eglin AFB, permission to fly over was ever granted. Dates of Collection: 20060710-11, 19-20, 22-23, 26-29, 20060801, 03, 06-07, 13, 15, 17 Contractor: Sanborn Original contact information: Contact Org: NOAA Office for Coastal Management Phone: 843-740-1202 Email: coastal.info@noaa.gov ESCAMBIA: The Escambia County, Florida Water Management District uses topographic information to support regulatory, land management and acquisition, planning, engineering, and habitat restoration projects. The Escambia County LiDAR Survey data will support the creation of Federal Emergency Management Agency Flood Insurance Rate Maps (FEMA FIRM) and an integrated ground and surface water model for the Escambia County. All data will be public record as defined by applicable Florida statues. The Escambia LiDAR Survey was collected under the guidance of a Licensed and professional Surveyor and Mapper. SANTA ROSA: Final product delivery of bare ground surface was intended to suit the needs of NOAA for elevation-related tasks. WALTON: This data was collected to support the creation of the Federal Emergency Management Agency Flood Insurance Rate Maps (FEMA FIRM) and an integrated ground and surface water model for Walton County. 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 notPlanned EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > TOPOGRAPHICAL RELIEF MAPS EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > SEAFLOOR TOPOGRAPHY EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION theme Global Change Master Directory (GCMD) Science Keywords 17.0 CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > FLORIDA place Global Change Master Directory (GCMD) Location Keywords 20.8 Contour Height Intensity theme 2006 temporal DOC/NOAA/NOS/OCM > Office of Coastal Management, National Ocean Service, NOAA, U.S. Department of Commerce dataCentre Global Change Master Directory (GCMD) Data Center Keywords 2017-04-24 publication 8.5 Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA) https://forum.earthdata.nasa.gov/app.php/tag/GCMD%2BKeywords GCMD Keyword Forum Page Global Change Master Directory (GCMD). 2025. GCMD Keywords, Version 22. Greenbelt, MD: Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA). URL (GCMD Keyword Forum Page): https://forum.earthdata.nasa.gov/app.php/tag/GCMD+Keywords information custodian Lidar project InPort otherRestrictions Cite As: Office for Coastal Management, [Date of Access]: 2006 Florida LiDAR: Escambia, Santa Rosa, and Walton Counties [Data Date Range], https://www.fisheries.noaa.gov/inport/item/48209. 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 the 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 NOAA Data Management Plan (DMP) NOAA/NMFS/EDM 48209 https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocm/dmp/pdf/48209.pdf WWW:LINK-1.0-http--link NOAA Data Management Plan (DMP) NOAA Data Management Plan for this record on InPort. information crossReference vector eng; US elevation -87.643918 -85.820634 30.260327 31.01 | Currentness: Ground Condition 2006-01-12 2006-08-17 ESCAMBIA: The information in this report is the result of the LiDAR surveys performed on the dates indicated and the general conditions at the time. The Final Report of the QA/QC Assessment of Escambia County, Florida may be viewed at: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/57/supplemental SANTA ROSA: The Final Report of the QA/QC Assessment of Santa Rosa County, Florida may be viewed at: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/57/supplemental WALTON: Reflective surface data represents the DEM created by laser energy reflected from the first surface encountered by the laser pulse. Some energy may continue beyond this initial surface to be reflected by a subsequent surface as represented by the Last Return data. Intensity information is captured from the Reflective Surface pulse and indicates the relative energy returned to the sensor as compared to the energy transmitted. The Intensity image is not calibrated or normalized but indicates differences in energy absorption due to the interaction of the surface materials with laser energy at the wavelength transmitted by the sensor. Points are classified as on ground surface or not on ground surface to support creation of a bare earth model from the data. Points in the filtered ground class determined to be in open waterways or water bodies were reclassified as Water. The Final Report of the QA/QC Assessment of Walton County, Florida may be viewed at: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/57/supplemental/index.html 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=57 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/geoid18/57/index.html WWW:LINK-1.0-http--link Bulk Download Simple download of data files. download dataset Accuracy ESCAMBIA: Stream shore lines and 2-D coordinate line strings were collected as breaklines using LiDAR that was acquired and processed to FEMA specifications. These breaklines were created from on-screen digitizing using a combination of the LiDAR points and the orthophotography. Attributes were verified using routines that verify the vertical and horizontal positions of the breaklines. SANTA ROSA: 1. LiDAR data was collected and processed in accordance with FEMA guidance as published in Appendix A, February, 2002. 2. LiDAR data at the interface between the land and ocean was collected (when possible) during periods when tides were predicted to be below mean lower low water. 3. LiDAR data accuracy is in accordance with the National Standard for Spatial Data Accuracy (NSSDA). When compared to GPS survey grade points in generally flat non-vegetated areas, at least 95% of the positions have an error less than or equal to 36.3 cm (equivalent to root mean square error of 18.5 cm if errors were normally distributed). WALTON: No attributes were tested Horizontal Positional Accuracy ESCAMBIA: Countywide LiDAR dataset compiled to meet 1 meter horizontal accuracy at 95% confidence level. SANTA ROSA: None WALTON: Compiled to meet 1 meter horizontal accuracy at 95% confidence level. Vertical Positional Accuracy ESCAMBIA: Countywide LiDAR dataset tested 13.7 cm vertical accuracy at 95% confidence level in open terrain, based on open terrain RMSEz (7 cm) x 1.9600; tested 33.3 cm vertical accuracy at 95% confidence level in all land cover categories combined, based on consolidated RMSEz (17 cm) x 1.9600. Independent accuracy testing was performed by Dewberry & Davis using 101 high accuracy quality control checkpoints distributed throughout the county in five major land cover categories identified by the North West Florida Water Management District. Dewberry used testing procedures consistent with those specified in the National Standard for Spatial Data Accuracy (NSSDA) as well as LiDAR accuracy testing guidelines and specifications published by the Federal Emergency Management Agency (FEMA), National Digital Elevation Program (NDEP), and American Society for Photogrammetry and Remote Sensing (ASPRS). SANTA ROSA: LiDAR data accuracy is in accordance with the National Standard for Spatial Data Accuracy (NSSDA). When compared to GPS survey grade points in generally flat non-vegetated areas, at least 95% of the positions have an error less than or equal to 36.3 cm (equivalent to root mean square error of 18.5 cm if errors were normally distributed). WALTON: 13 cm root mean square error (RMSE) Completeness Measure Cloud Cover: Unknown Completeness Report ESCAMBIA: The LAS files were flown at a density sufficient to support 2-foot topographic products for unobscured areas. The bare-earth surface will contain voids in areas that were densely vegetated, covered by bridges, buildings, water, fresh asphalt, sand etc. SANTA ROSA: Complete WALTON: LIDAR raster data is visually inspected for completeness to ensure that any gaps between flight lines or loss of signal represents less than 5% 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. Some asphalt formulations have been shown to absorb topographic LIDAR wavelength energy resulting in "pitting" of roof surfaces using this material. No data for Eglin AFB, permission to fly over was ever granted. Conceptual Consistency ESCAMBIA: The LAS files were flown at a density sufficient to support a maximum final post spacing of 6 feet for unobscured areas. 3001 inc. acquired 110 flightlines between June 21, 2006 and July 18, 2006. The data was divided into 5000' by 5000' foot cells that serve as the tiling scheme. The Escambia County LiDAR Survey was collected under the guidance of a Professional Mapper/Surveyor. SANTA ROSA: LiDAR data was delivered covering the full extent of Santa Rosa County, Florida, with coverage extending 1000m beyond the county boundary. WALTON: 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. Data was collected, processed, quality checked and delivered by vendor. For a more detailed listing of the specific Process Steps for each county's data set, please contact the CEM Project Team at the phone number or email address listed below. 2007-05-10T00:00:00 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 to make it available within the LiDAR Data Retrieval Tool (LDART): 1. The LAS files were converted from UTM coordinates to geographic coordinates. 2. The LAS header fields were sorted by latitude and updated. 3. The data was filtered to eliminate outliers. 2007-05-22T00:00:00 Source Contribution: Unknown | Type of Source Media: Hard drive 2006 Florida Lidar: Escambia, Santa Rosa and Walton Counties 2007-01-01 publication 2006-01-12 2006-08-17