72897 al2016_adeca_6county_m10127_metadata Data Set Published / External 49401 Lidar - partner (no harvest) Project Completed 2016 Geographic Extent: This data set consists of the lidar point cloud, classified lidar, digital elevation model, and lidar intensity images which encompasses the six counties in the ADECA (AL Department of Economic and Community Affairs) portion of the 2016 Alabama AGIO/ADECA 12 County Lidar Area of Interest (AOI), The entire 12 county project covers approximately 22,909 square kilometers or 8845 square miles. The ADECA portion covers the following counties: Bibb, Chilton, Coosa, Dallas, Hale, and Perry. Data set Description: This data set consists of lidar point cloud LAS swath files and tiled LAS files. Each LAS file contains lidar point information, which has been calibrated, controlled, and classified. Each file represents a separate swath of lidar. Ground Conditions: water at normal levels; no unusual inundation; no snow; leaf off How the Withheld Points are Identified: Withheld (ignore) points were identified in the files using the standard LAS Withheld bit. Class Code:1 Class Item:Unclassified Class Code:2 Class Item:Ground Class Code:7 Class Item:Low Noise Class Code:9 Class Item:Water Class Code:10 Class Item:Ignored Ground Class Code:17 Class Item:Bridges Class Code:18 Class Item:High Noise This metadata supports the data entry in the NOAA Digital Coast Data Access Viewer (DAV). For this data set, the DAV is leveraging the Entwine Point Tiles (EPT) hosted by USGS on Amazon Web Services. The primary purpose of the lidar survey was to establish measurements of the bare earth surface, as well as top surface feature data for providing geometric inputs for modeling, other numerical modeling and economic related assessments. All lidar data was acquired, calibrated, and used in the creation of lidar derived products by Atlantic. Theme Global Change Master Directory (GCMD) Science Keywords EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION Theme ISO 19115 Topic Category elevation Spatial Global Change Master Directory (GCMD) Location Keywords CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA Spatial Global Change Master Directory (GCMD) Location Keywords CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > ALABAMA Spatial Global Change Master Directory (GCMD) Location Keywords VERTICAL LOCATION > LAND SURFACE Instrument Global Change Master Directory (GCMD) Instrument Keywords LIDAR > Light Detection and Ranging Platform Global Change Master Directory (GCMD) Platform Keywords Airplane > Airplane Office for Coastal Management Charleston SC Data Set Elevation As Needed Model (digital) Lidar tiles and associated derived products for USGS The data represented is the result of data collection and processing per contract specifications and indicates the general existing conditions at the time of 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 NOAA, the Office for Coastal Management or its partners. ADECA, Atlantic, USGS Data Steward 2024 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 2024 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 2017 Organization U.S. Geological Survey 12201 Sunrise Valley Drive Reston VA 20191 USA https://usgs.gov USGS Home Home page for USGS Online Resource Metadata Contact 2024 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 2024 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 -87.85 -85.979111 33.26 32.039299 Range 2016-12-02 2017-03-15 No Yes No No No Projected EPSG:3857 WGS 84 / Pseudo-Mercator World Geodetic System 1984 WGS 84 6378137 298.257223563 WGS 84 Popular Visualisation Pseudo-Mercator Popular Visualisation Pseudo Mercator Latitude of natural origin 0° 0' 0" N Longitude of natural origin 0° 0' 0" E False easting 0 metre False northing 0 metre 1 Easting X metre east 2 Northing Y metre north Vertical EPSG:5703 NAVD88 height North American Vertical Datum 1988 1 Gravity-related height H metre up Custom Unclassified Data is available online for bulk and custom downloads. No restrictions apply to this data the data represented is the result of data collection and processing per contract specifications 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. None, however, users should be aware that temporal changes may have occurred since this dataset was collected and that some parts of these data may no longer represent actual surface conditions. Users should not use these data for critical applications without a full awareness of the limitations of the data. Acknowledgement of USGS would be appreciated for products derived from these data. The data represented is the result of data collection and processing per contract specifications 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. https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=10127/details/10127 2024 Organization NOAA Office for Coastal Management Customized Download Create custom data files by choosing data area, product type, map projection, file format, datum, etc. A new metadata will be produced to reflect your request using this record as a base. Change to an orthometric vertical datum is one of the many options. Not Applicable Zip https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/AL_ADECA_6_County_Lidar_2016_B16/ 2017 Organization U.S. Geological Survey Bulk Download Bulk download of data files in LAZ format, UTM Zone 16N NAD83 (2011), meters coordinates and NAVD88 (Geoid12B) elevations in meters. LAS/LAZ - LASer LAZ https://coast.noaa.gov/dataviewer/ NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV) Online Resource HTML The Data Access Viewer (DAV) allows a user to search for and download elevation, imagery, and land cover data for the coastal U.S. and its territories. The data, hosted by the NOAA Office for Coastal Management, can be customized and requested for free download through a checkout interface. An email provides a link to the customized data, while the original data set is available through a link within the viewer. https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/AL_ADECA_6_County_Lidar_2016_B16/ USGS Additional Info Online Resource Link to the additional information available for this data set from the USGS. This information includes reports, tile index shapefiles, and hydro breaklines. https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/AL_ADECA_6_County_Lidar_2016_B16/AL_ADECA_B1_2016/reports/AL_ADECA%206%20County%20Lidar_2016_B16_Aerial_Lidar_Report.pdf Lidar Report Online Resource pdf Link to the lidar report. https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_AL_ADECA_B1_2016_LAS_2019/ept.json USGS Entwine Point Tile (EPT) - AL_ADECA_B1 Online Resource json Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud. https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_AL_ADECA_B2_2016_LAS_2019/ept.json USGS Entwine Point Tile (EPT) - AL_ADECA_B2 Online Resource json Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud. https://usgs.entwine.io/data/view.html?r=[%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_AL_ADECA_B1_2016_LAS_2019/ept.json%22,%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_AL_ADECA_B2_2016_LAS_2019/ept.json%22] USGS 3D View Online Resource Link to view the point cloud (using the Entwine Point Tile (EPT) format) in the 3D Potree viewer. CloudPro 1.2.0 Build 85620; GeoCue Version 2014.1.21.2; Windows 7 Operating System \\lidarsrv\GC_Warehouse_5\80658\30\*.las 184 GB Horizontal error in lidar derived elevation data is largely a function of positional error as derived from the Global Navigation Satellite System (GNSS), attitude (angular orientation) error (as derived from the INS) and flying altitude; and can be estimated based on these parameters. As described in Section 7.5 of the ASPRS Positional Accuracy Standards for Digital Geospatial Data the horizontal errors in lidar data are largely a function of GNSS positional error, INS angular error, and flying altitude. Therefore, lidar data collected with GNSS error of 8cm and the IMU error of 0.00427 degrees at an altitude of 2,000m; the expected radial horizontal positional error will be RMSEr = 29.0cm. Vertical Accuracy of the point cloud and bare-earth lidar data was assessed and reported in accordance with the ASPRS Positional Accuracy Standards for Digital Geospatial Data; Three hundred and ninety-five (395) surveyed points were measured for the purpose of assessing the accuracy of the lidar data. (227 NVA + 168 VVA). Required Vegetated Vertical Accuracy (VVA): 29.4cm. Required Non Vegetated Vertical Accuracy (NVA) : 19.6cm This data set was tested to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 10.0 (cm) RMSEz Vertical Accuracy Class. Actual NVA accuracy of the bare-earth was found to be RMSEz = 6.5 cm, equating to +/- 12.8 cm at 95% confidence level. This data set was tested to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 10.0 (cm) RMSEz Vertical Accuracy Class. Actual VVA accuracy was found to be RMSEz = 8.0 cm, equating to +/-14.6 cm at the 95th percentile. The raw LAS data files included all data points collected. No points have been removed or excluded. A visual qualitative assessment was performed to ensure data completeness. No void areas or missing data exist. The raw point cloud is of good quality and data passes Fundamental Vertical Accuracy specifications.Void areas (i.e., areas outside the project boundary but within the tiling scheme) are coded using a unique NODATA value. This value is identified in the appropriate location within the file header. All lidar data and lidar derived data covers the entire 8845 square mile area of interest for the project AOI. All lidar point cloud tiles show no edge artifacts or mismatches from tile to tile. Void areas (i.e. areas outside the project boundary but within the tiling scheme) are coded using a unique NODATA value. This value is identified in the appropriate location within the file header. Data cover the entire area specified for this project. Yes Unknown Yes NCEI-NC Data is backed up to cloud storage. The NOAA Office for Coastal Management (OCM) ingested references to the USGS Entwine Point Tiles (EPT) hosted on Amazon Web Services (AWS) into the Digital Coast Data Access Viewer (DAV). The DAV accesses the point cloud as it resides on AWS under the usgs-lidar-public-container. USGS AWS Entwine Point Tile (EPT) - AL_ADECA_B1 Organization USGS Publisher https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_AL_ADECA_B1_2016_LAS_2019/ept.json USGS Entwine Point Tile (EPT) USGS AWS Entwine Point Tile (EPT) - AL_ADECA_B2 Organization USGS Publisher https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_AL_ADECA_B2_2016_LAS_2019/ept.json USGS Entwine Point Tile (EPT) 1 Aerial Lidar Acquisition: Aerial data collection was acquired in thirty-eight (38) flight missions, using the ALS70 SN#7123/7225 at an altitude of 2300 meters AGL. During flight operations, the flight crew monitored weather and atmospheric conditions. Lidar missions were flown only when no condition existed below the sensor that would affect the collection of data. The pilot constantly monitored the aircraft course, position, pitch, roll, and yaw of the aircraft. The sensor operator monitored the sensor, the status of the GNSS constellations, and performed the first QC review during acquisition. The flight crew constantly reviewed weather and cloud locations. Data acquisition was completed on March 15, 2017. Ground Control Survey: This GNSS survey consisted of twelve (12) contiguous Alabama counties which due to geographic proximity were combined into one Area of Interest (AOI) the five hundred twenty-four (524) checkpoints were subdivided into 3 main categories: NVA, VVA, and LCP. A survey crew mobilized to the AOI to perform the RTN –RTK survey to support the aerial LiDAR collection October 20th through November 19th 2016. The RTN –RTK survey consisted of independent GNSS observations on Non-Vegetated Vertical Accuracy, Vegetated Vertical Accuracy (NVA-VVA), and LiDAR Calibration Points (LCP). 2017-03-15T00:00:00 10 References to the entwine point tiles and data reports were ingested into the Digital Coast Data Access Viewer. No changes to the data were made at this point. The Data Access Viewer will access the point cloud as it resides on AWS under the usgs-lidar-public container. 2024-06-07T00:00:00 Organization Office for Coastal Management OCM https://ror.org/05v14bq57 2234 South Hobson Avenue Charleston SC 29405-2413 https://www.coast.noaa.gov/ 2 Lidar Pre-processing: Airborne GPS and IMU data were merged to develop a Smoothed Best Estimate Trajectory (SBET) of the lidar system for each lift. Lidar ranging data were initially calibrated using previous best parameters for this instrument and aircraft. Relative calibration was evaluated using advanced plane-matching analysis and parameter corrections derived. This process was repeated interactively until residual errors between overlapping swaths, across all project lifts, was reduced to 2 cm or less. Data were then block adjusted to match surveyed calibration control. Raw data NVA were checked using independently surveyed check points. Swath overage points were identified and tagged within each swath file 2017-03-16T00:00:00 3 Initial processing of the GPS data was processed using Inertial Explorer. The solution file was generated and CloudPro 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 surveyed test points. 2017-03-18T00:00:00 4 Lidar Post-Processing: The calibrated and controlled lidar swaths were processed using automatic point classification routines in TerraSolid software. These routines operate against the entire collection (all swaths, all lifts), eliminating character differences between files. Data were then distributed as virtual tiles to experienced Lidar analysts for localized automatic classification, manual editing, and peer-based QC checks. Supervisory QC monitoring of work in progress and completed editing ensured consistency of classification character and adherence to project requirements across the entire project. All classification tags are stored in the original swath files. After completion of classification and final QC approval, the NVA and VVA for the project are calculated. Sample areas for each land cover type present in the project were extracted and forwarded to the client, along with the results of the accuracy tests. Upon acceptance, the complete classified Lidar swath files were delivered to the client. 2017-03-25T00:00:00 5 Lidar Classification: The calibrated Lidar data was run through automated classification routines and then manually checked and edited. The data was classified into the following classes: 1-unclassified*, 2-ground, 7-low noise, 9-water, 10-ignored ground, 17-bridges, and 18-high noise 2017-04-05T00:00:00 6 Lidar Intensity Imagery Creation: All lidar intensity imagery was created from the final calibrated and classified lidar point cloud. Intensity images were produced from all classified points and are posted to a 1 meter cell size. Intensity images were cut to match the tile index and have corresponding names to match tile names. 2017-05-15T00:00:00 7 Hydro line Collection: Hydro break lines were compiled using the lidar intensity data and surface terrain model of the entire project area. After the collection of hydro lines all features were validated for monotonicity and vertical variance, to ensure that no points were floating above ground. The hydro break lines were encoded into the lidar surface and used to hydro-enforce/flatten all significant water bodies. These final hydro lines were then used in the production of bare Earth digital models to hydro flatten significant water bodies. 2017-06-15T00:00:00 8 Bare-Earth DEM Creation: Bare-Earth digital elevation models (DEMs) were derived using the hydro break line and bare-earth (ground) lidar points, all DEMs were created with a grid spacing of 1 meter. The DEMs were cut to tiles of 1500 meters X 1500 meters index. 2017-08-10T00:00:00 9 Original point clouds in LAS/LAZ format were restructured as Entwine Point Tiles and stored on Amazon Web Services. The data were re-projected horizontally to WGS84 Web Mercator (EPSG 3857). Vertically, no changes were made to the vertical datum (NAVD88 GEOID12B; EPSG 5703). Organization U.S. Geological Survey 12201 Sunrise Valley Drive Reston VA 20191 USA https://usgs.gov USGS Home Home page for USGS Online Resource 78785 Data Set Cross Reference 78799 Data Set Cross Reference 72898 Data Set Cross Reference gov.noaa.nmfs.inport:72897 Rebecca Mataosky 2024-06-07T13:28:25 SysAdmin InPortAdmin 2026-03-04T19:17:17 2024-06-07 OCM Partners OCMP 1002 Public No No 2024-06-07 1 Year 2025-06-07