gov.noaa.nmfs.inport:49725 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) 2009 Chatham County Georgia Lidar ga2009_chatham_m1121_metadata 2012-01 publication NOAA/NMFS/EDM 49725 https://www.fisheries.noaa.gov/inport/item/49725 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 generated point cloud acquired in spring 2009 for Chatham County, Georgia for the Metropolitan Planning Commission. The data are classified as follows: Class 1 = Unclassified. This class includes vegetation, buildings, noise etc. Class 2 = Ground Class 9 = Water This data is for planning purposes only and should not be used for legal or cadastral purposes. Original contact information: Contact Name: Noel Perkins Contact Org: SAGIS Title: Director Phone: 912-651-1476 Email: perkinsn@thempc.org LiDAR points used in conjunction with LiDAR derived breaklines to determine a DTM surface. 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 unknown Lidar - partner (no harvest) project InPort otherRestrictions Cite As: OCM Partners, [Date of Access]: 2009 Chatham County Georgia Lidar [Data Date Range], https://www.fisheries.noaa.gov/inport/item/49725. 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: The data represent the results of data collection and processing for a specific Metropolitan Planning Commission activity and indicates the general existing conditions at the time of the data collection. As such, it is only valid for its intended use, content, time, and accuracy specifications. The user is responsible for the results of any application of the data for other than its intended purpose. Any conclusions drawn from the analysis of this information are not the responsibility of the Office for Coastal Management or its partners. unclassified 2009 Lidar DEM: Chatham, GA NOAA/NMFS/EDM 58280 crossReference vector eng; US elevation Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 2; ESRI ArcCatalog 9.2.4.1420 -81.3957 -80.831008 31.713978 32.250903 | Currentness: Ground Condition 2009-02-21 | Currentness: Ground Condition 2009-02-23 | Currentness: Ground Condition 2009-02-24 | Currentness: Ground Condition 2009-03-03 | Currentness: Ground Condition 2009-03-04 | Currentness: Ground Condition 2009-03-20 | Currentness: Ground Condition 2009-03-21 | Currentness: Ground Condition 2009-03-22 | Currentness: Ground Condition 2009-03-23 | Currentness: Ground Condition 2009-06-27 Support of FEMA's Floodplain Map Modernization Program and Florida Division of Emergency Management Disaster standards. A footprint of this data set may be viewed in Google Earth at: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12a/1121/supplemental/2009_Chatham_County_Georgia_Lidar.kmz false eng false Data File LAS 2022-03-16 publication Zip Zip LAS/LAZ - LASer Zip 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=1121 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/geoid12a/1121/index.html WWW:LINK-1.0-http--link Bulk Download Simple download of data files. download dataset Horizontal Positional Accuracy Lidar acquired and processed to meet 1 m (RMSE) horizontal accuracy.; Quantitative Value: 0.5 meters, Test that produced the value: 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. Vertical Positional Accuracy The vertical accuracy is based on the Sanborn independent collection of 20 ground survey points distributed throughout the project. The fundamental vertical accuracy at 95 percent confidence level in open terrain tested 0.07 meters (0.25 ft). 1. Vertical accuracy: Less than 0.30 feet RMSEz = less than 0.60 feet vertical accuracy at 95% confidence level, tested in flat, non-vegetated terrain only, employing NSSDA procedures in Reference B. 2. Validation that the data also satisfies FEMA requirements. 3. Vertical units (orthometric heights) are in US Survey Feet, NAVD88. ; Quantitative Value: 0.07 meters, Test that produced the value: Based on the vertical accuracy testing conducted by Sanborn using NSSDA and FEMA methodology, vertical accuracy at the 95% confidence level (called Accuracyz) is computed by the formula RMSEz x 1.9600. The dataset for Chatham County, Georgia satisfies the criteria: Countywide lidar dataset tested 0.15 m (0.49 ft) vertical accuracy at 95% confidence level in open terrain, based on open terrain RMSEz (0.25 ft) x 1.9600. Countywide lidar dataset tested 0.24 m (0.78 ft) vertical accuracy at 95% confidence level in all land cover categories combined, based on consolidated RMSEz (0.40 ft) x 1.9600. Completeness Report A visual qualitative assessment was performed in the source Lidar dataset. Conceptual Consistency Data covers the tile scheme provided for the county. The ABGPS, IMU, and raw Leica ALS-50 LiDAR data are integrated into the LEICA ALS post processor software. The resultant file is in a LAS binary file format. The LAS file version 1.1 formats 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 GRS80 vertical datum. 2009-01-01T00:00:00 The unedited data are classified to facilitate the application of the appropriate feature extraction filters. A combination of proprietary filters are 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 1.1 format. The header file for each dataset is complete as define by the LAS 1.1 specification. In addition the following fields are included: Flight Date Julian, Year, and Class. The LAS files do not include an overlap class. The data was classified as follows: Class 1 = Unclassified. This class includes vegetation, buildings, noise etc. Class 2 = Ground Class 7 = noise (outliers) Class 9 = Water 2009-01-01T00:00:00 Conversion from Geodetic coordinates, NAD83 into State Plane coordinates (U.S. Survey Feet) NAD83 and conversion from ellipsoid heights (meters) into orthometric heights (U.S. Survey Feet). 2009-01-01T00:00:00 Ground points were extracted from the Lidar dataset and used in conjunction with breaklines to hydrologically enforce a DTM surface and converted to an ESRI GRID (1m pixels) using ArcGIS. 2009-01-01T00:00:00 The NOAA Office for Coastal Management (OCM) received the files in las format. The files contained lidar elevation and intensity measurements. The data were in GA State Plane coordinates and NAVD88 (orthometric) heights in feet. OCM performed the following processing for data storage and Digital Coast provisioning purposes: 1. The data were converted from GA State Plane coordinates to geographic coordinates. 2. The data were converted from NAVD88 (orthometric) heights in feet to GRS80 (ellipsoid) heights in meters using Geoid 03. 3. The data were filtered to remove outliers. 4. The LAS data were sorted by latitude and the headers were updated. 2012-01-01T00:00:00 Source Contribution: Data acquisition specifications | Type of Source Media: online Airborne LiDAR Flight Details 2009-09-30 publication 2009-02-21