48145 al2014_mobile_county_m4966_metadata Data Set Published / External 37231 Lidar Project Completed 2015-12-09 Atlantic was contracted to acquire high resolution topographic LiDAR (Light Detection and Ranging) data located in Mobile County, Alabama. The intent was to collect one (1) Area of Interest (AOI) that encompasses Mobile County. The total client defined AOI was 1,402 square miles or 3,361 square kilometers. The data were collected from January 12 - 22, 2014. Classifications of data available from NOAA OCM are: 1 (Unclassified, 2 (Ground), 3 (Low Vegetation), 7 (Low Noise), 8 (Model Key Points), 9 (Water), 10 (Ignored Ground, Breakline Proximity). Low vegetation points were removed as they were incorrect and not required for delivery. Digital Elevation Models (DEMs) created from this lidar data are available for download. They are available at: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=5169 . Breaklines are available at: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/4966/supplemental/breaklines Original contact information: Contact Name: Scott Kearney Contact Org: City of Mobile Phone: (251) 208-7942 Email: kearney@cityofmobile.org Mobile County, Alabama requires efficient data to effectively plan and manage county infrastructure. This dataset was developed to support Mobile County. The scope involved the acquisition of USGS Quality Level 2 LiDAR data to be processed, classified to produce a new countywide DEM and one foot elevation contours for the entire 1402 square mile Mobile County Project Area. 10168 A footprint of this data set may be viewed in Google Earth at: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/4966/supplemental/al2014_mobile_county_m4966.kmz Reports for this data set may be viewed at: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/4966/supplemental/al2014_mobile_county_m4966_lidarreport.pdf https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/4966/supplemental/al2014_mobile_county_m4966_surveyreport.pdf https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/4966/supplemental/al2014_mobile_county_m4966_acquisitionreport.pdf Theme Global Change Master Directory (GCMD) Science Keywords EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > TOPOGRAPHICAL RELIEF MAPS Theme Global Change Master Directory (GCMD) Science Keywords EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > SEAFLOOR TOPOGRAPHY Theme Global Change Master Directory (GCMD) Science Keywords EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION Theme ISO 19115 Topic Category elevation Spatial Global Change Master Directory (GCMD) Location Keywords CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > ALABAMA Theme Alabama Theme Mobile County Temporal 20140112 Temporal 20140122 Spatial Mobile County Alabama Office for Coastal Management Charleston SC Data Set As Needed Any conclusions drawn from the analysis of this information are not the responsibility of Atlantic, City and County of Mobile, NOAA, the Office for Coastal Management or its partners. Data Steward 2015-12-09 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 2015-12-09 Organization Office for Coastal Management OCM https://ror.org/05v14bq57 2234 South Hobson Avenue Charleston SC 29405-2413 https://www.coast.noaa.gov/ Metadata Contact 2015-12-09 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 2015-12-09 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 -88.441916 -87.919427 31.203599 30.194669 Range 2014-01-12 2014-01-22 Yes Unclassified This data can be obtained on-line at the following URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=4966 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. These data depict the heights at the time of the survey and are only accurate for that time. https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=4966 2015-12-09 Organization Office for Coastal Management https://ror.org/05v14bq57 Customized Download Create custom data files by choosing data area, product type, map projection, file format, datum, etc. Zip Zip https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/4966/index.html 2015-12-09 Organization Office for Coastal Management https://ror.org/05v14bq57 Bulk Download Simple download of data files. LAZ LAS/LAZ - LASer Zip https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/4966/supplemental/al2014_mobile_county_m4966.kmz Browse Graphic Browse Graphic kmz This graphic shows the lidar coverage in Mobile County Alabama from the 2014 collection. https://coast.noaa.gov Online Resource https://coast.noaa.gov/dataviewer Online Resource 2016-12-15 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. All work was done in coordination with Mobile County Contract. | Quantitative Value: Projection ConsistencyFile Format | Quantitative Test Explanation: Global Mapper ver.11.02 was used to validate that the correct projection information was applied to each image.Image Station Raster Utility - Display Header application was used to validate file format parameters such as: 4-band, 8-bits per band (RGBI), and pixel readout starts in northwest corner as (0,0). LiDAR Horizontal Accuracy of the bare-earth data was assessed and reported in accordance with the guidelines developed by the NDEP and subsequently adopted by the ASPRS;; Quantitative Value: 0.095 meters, Test that produced the value: LiDAR Horizontal Accuracy (in meters) of the bare-earth data was assessed and reported in accordance with the guidelines developed by the NDEP and subsequently adopted by the ASPRS; LiDAR Vertical Accuracy of the bare-earth data was assessed and reported in accordance with the guidelines developed by the NDEP and subsequently adopted by the ASPRS; - FVA<= 0.60 ft ACCZ, 95% (0.30 ft RMSEZ) - CVA<= 0.80 ft ACCZ, 95% (0.41 ft RMSEZ) - SVA<= 0.80 ft ACCZ, 95% (0.41 ft RMSEZ) One hundred and eleven (111) surveyed points were measured for the purpose of assessing the accuracy of the Mobile County data. Quantitative_Horizontal_Positional_Accuracy_Assessment: Vertical_Positional_Accuracy: Vertical_Positional_Accuracy_Report: Tested 0.511 US Survey Foot (0.156 m) Fundamental Vertical Accuracy (FVA) at ninety-five percent confidence level in open terrain using RMSE(z) x 1.9600. RMSEz = 7.9 cm. Tested 0.457 US Survey Foot Consolidated Vertical Accuracy (CVA) at ninety-five percent confidence level, using RMSE(z) x 1.9600. Tested 0.372 US Survey Foot Supplemental Vertical Accuracy (SVA) at; Quantitative Value: 0.079 meters, Test that produced the value: Tested 0.511 US Survey Foot (0.156 m) Fundamental Vertical Accuracy (FVA) at ninety-five percent confidence level in open terrain using RMSE(z) x 1.9600. RMSEz = 7.9 cm. The data meets the expected vertical accuracy of 0.6ft, @ ninety-five percent confidence level, using RMSE(z) x 1.9600,. as stated in the project contract. Cloud Cover: 0 This data set covers the spatial extent of topographic lidar data obtained during this survey. Topological integrity of the data was validated using the validation tools in ESRI's ArcGIS 10.1. Mobile County LiDAR 2014-10-21 Discrete 2014-10-21 1200 LiDAR, Digital Elevation Model, Breaklines | Source Geospatial Form: LAS | Type of Source Media: Portable HardDrive 1 Ground Control This Geodetic Control Survey was conducted to support Light Detection and Ranging (LiDAR) data in accordance with the National Digital Elevation Program (NDEP) and the American Society for Photogrammetry and Remote Sensing (ASPRS) guidelines. A GPS control network was performed for the purposes of establishing a three-dimensional coordinates on each of the base station locations. The control network included a combination of a National Geodetic Survey (NGS) Control Monument (MOB AP STA A1), National Geodetic Survey (NGS) CORS (AL84, AL90, AL92, ALDI, ALM) ,Mobile Control Monuments (MCC1062, MCC1067, MCC1070, MCC1072, MCC1073, MOB1000, MOB1008, MOB1009, MOB1011, MOB1023, MOB1031, MOB1034) and a capped iron found (CIPF). GPS observations at all ground control points in the network were made with Leica System 500 dual frequency GPS-receivers w/ Leica AT502 antenna and a NovAtel DL 4=L1L2 receiver w/ NovAtel NOV702 3.00 antenna between April 30, 2014 and May 2, 2014. 2014-05-10T00:00:00 2 Aerial LiDAR Acquisition: Aerial data collection was acquired, in one (9) mission, using the ALS70 SN# 7123 at an altitude of 5500 ft. MSL. This was to support a 2.0 ppm^2 LiDAR point cloud. Airborne GPS and IMU data was collected during the acquisition and supported by Topcon Viper GPS base station that occupied NGS monument MOBARP. Data acquisition was collected January 12, 2014 through January 22, 2014. 2014-01-22T00:00:00 3 LIDAR PROCESSING: - LiDAR Calibration:Initial processing of the GPS data was processed using Inertial Explorer. The solution file was generated and ALSPP software was used to generate georeferenced laser returns which were then processed in strip form allowing for the QC of the overlap between strips (lines). The data from each line were combined and automated classification routines run to determine the initial surface model. This initial surface model was then verified to the LiDAR test points. LiDAR Classification: The calibrated LiDAR data was run through automated classification routines and then manually checked. The data was classified into the following classes: 1-unclassified, 2-ground, 3-lowpoints/noise, 9-water 2014-06-11T00:00:00 4 The NOAA Office for Coastal Management (OCM) received the files in las format from the City of Mobile GIS office. The files contained lidar elevation and intensity measurements. The data were in Alabama State Plane West coordinates (0102, feet) and NAVD88 heights (Geoid12A, feet). OCM performed the following processing for data storage and Digital Coast provisioning purposes: 1. LAS files were compressed to laz format using laszip. 2. Elevation outliers were eliminated, above 2,000 ft and below -50 ft, as these were deemed erroneous. 3. Class 3 (low vegetation) was removed as it was not part of the project specifications, furthermore these points were found to only be located in open water. 4. Reclassified all Class 11 points to Class 15 as this does not match the NOAA OCM classification scheme. 5. Data were converted from Alabama State Plane West coordinates (ft) with NAVD88 heights (ft) to geographic coordinates (decimal degrees) with ellipsoid heights (m). 2015-11-30T00:00:00 Organization Office for Coastal Management OCM https://ror.org/05v14bq57 2234 South Hobson Avenue Charleston SC 29405-2413 https://www.coast.noaa.gov/ Mobile County LiDAR gov.noaa.nmfs.inport:48145 Anne Ball 2017-11-14T14:19:40 SysAdmin InPortAdmin 2026-03-04T19:17:17 2022-03-16 Office for Coastal Management OCM 1002 Public No No 2022-03-16 1 Year 2023-03-16