49823 ms2012_usgs_nrcs_tupelo_m2559_metadata Data Set Published / External 49401 Lidar - partner (no harvest) Project Completed 2013-09-06 LiDAR data is a remotely sensed high resolution elevation data collected by an airborne platform. The LiDAR sensor uses a combination of laser range finding, GPS positioning, and inertial measurement technologies. The LiDAR systems collect data point clouds that are used to produce highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures and vegetation. The task required the LiDAR data to be collected at a nominal pulse spacing (NPS) of 1.0 meter. The final products include first, last, and at least one intermediate return LAS, full classified LAS and one (1) meter pixel raster DEMs of the bare-earth surface in ERDAS IMG Format. The LiDAR data was acquired from February 07, 2012 to March 05, 2012. Original contact information: Contact Org: USGS/NGTOC Phone: (573) 308-654 This task order consisted of LiDAR data acquisition and processing for the USGS. The task required the LiDAR data to be collected at a nominal pulse spacing (NPS) of 1.0 meter. The LiDAR data was collected to meet the National Standard for Spatial Database Accuracy (NSSDA) accuracy standards. The LiDAR data was provided in 1,500 meters x 1,500 meters tiles in the UTM projection. The LiDAR tile file name was derived from the southwest corner of each tile. The tiles are named based on the US National Grid. 10467 A lidar report from the vendor for this data set may be viewed here: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/2559/supplemental/ms2012_usgs_nrcs_tupelo.pdf A footprint of this data set may be viewed in Google Earth at: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/2559/supplemental/ms2012_usgs_nrcs_tupelo.kmz Theme ISO 19115 Topic Category elevation Theme LAZ Office for Coastal Management Charleston SC Data Set As Needed laz LiDAR points in LAZ format none Any conclusions drawn from the analysis of this information are not the responsibility of USGS, NRCS, Woolpert, Inc., NOAA, the Office for Coastal Management or its partners. Data Steward 2013-09-06 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 2013-09-06 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 Metadata Contact 2013-09-06 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 2013-09-06 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 -89.174071 -88.28357 34.596635 32.683739 Discrete 2012-02-07 Discrete 2012-02-08 Discrete 2012-02-09 Discrete 2012-02-11 Discrete 2012-02-12 Discrete 2012-02-15 Discrete 2012-02-17 Discrete 2012-02-24 Discrete 2012-02-25 Discrete 2012-02-26 Discrete 2012-02-29 Discrete 2012-03-03 Discrete 2012-03-04 Discrete 2012-03-05 Yes Unclassified This data can be obtained on-line at the following URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=2559 ; 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=2559 Customized Download Create custom data files by choosing data area, product type, map projection, file format, datum, etc. https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/2559/index.html Bulk Download Simple download of data files. https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/2559/supplemental/ms2012_usgs_nrcs_tupelo.kmz Browse Graphic Browse Graphic kmz This graphic shows the lidar coverage for the Tupelo, Mississippi USGS-NRCS lidar survey collected in 2012. https://coast.noaa.gov Online Resource https://coast.noaa.gov/dataviewer Online Resource 2016-05-23 Date that the source FGDC record was last modified. 2017-11-14 Converted from FGDC Content Standards 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. Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3 Horizontal accuracy is +/- 3.8-foot (115 cm) at the 95% confidence level. LiDAR system calibration is available in the project report. LAS data covering the Tupelo, MS 1m NPS Lidar Task Order was compared to survey control points to determine the FVA of the LAS Swath and of the Bare-Earth DEM. In addition, this LAS data was compared to supplemental points from categories: Bare Earth Open Terrain, Urban, Tall Weeds/Crops, Brush Lands and Trees, and Forested Fully Grown. LAS Swath Fundamental Vertical Accuracy (FVA) Tested 0.16 meters fundamental vertical accuracy at 95 percent confidence level in open terrain using RMSE(z) x 1.9600 Supplemental Vertical Accuracy (SVA) Bare Earth/Open Terrain Land Cover Classification Supplemental Vertical Accuracy (SVA) Tested 0.101 meters supplemental vertical accuracy at the 95th percentile in Bare Earth/Open Terrain. Tested against the DEM. Brush Lands and Trees Land Cover Classification Supplemental Vertical Accuracy (SVA) Tested 0.322 meters supplemental vertical accuracy at the 95th percentile in Brush Lands and Trees. Tested against the DEM. Forested and Fully Grown Land Cover Classification Supplemental Vertical Accuracy (SVA) Tested 0.128 meters supplemental vertical accuracy at the 95th percentile in Forested and Fully Grown. Tested against the DEM. Tall Weeds/Crops Land Cover Classification Supplemental Vertical Accuracy (SVA) Tested 0.265 meters supplemental vertical accuracy at the 95th percentile in Tall Weeds/Crops. Tested against the DEM. Urban Land Cover Classification Supplemental Vertical Accuracy (SVA) Tested 0.081 meters supplemental vertical accuracy at the 95th percentile in Urban. Tested against the DEM. Consolidated Vertical Accuracy (CVA) Tested 0.200 meters consolidated vertical accuracy at the 95th percentile level, derived according to ASPRS Guidelines for Vertical Accuracy Reporting for LiDAR Data. Tested against the DEM. Cloud Cover: 0 Complete This data is visually inspected by Woolpert, Inc. 1 Using Leica ALS60(LiDAR) system, 233 flight lines of high density data, at a nominal pulse spacing (NPS) of 1 meter, were collected for the NRCS Tupelo, MS (approximately 3,697 square miles). Data Acquisition Height = 6,500 feet AGL - Aircraft Speed = 130 Knots. Multiple returns were recorded for each laser pulse along with an intensity value for each return. A total of fourteen (14) missions were flown during a period of February 07, 2012 through March 05, 2012. Two airborne global positioning system (GPS) base stations were used in support of the LiDAR data acquisition. 18 ground control points were surveyed through static methods. The geoid used to reduce satellite derived elevations to orthometric heights was Geoid09. Data for the task order is referenced to the UTM Zone 16N, North American Datum of 1983 (NAD83), and NAVD88, in Meters. Airborne GPS data was differentially processed and integrated with the post processed IMU data to derive a smoothed best estimate of trajectory (SBET). The SBET was used to reduce the LiDAR slant range measurements to a raw reflective surface for each flight line. The coverage was classified to extract a bare earth digital elevation model (DEM) and separate last returns. In addition to the LAS deliverables, one layer of coverage was delivered in the IMG Format: bare-earth. 2012-02-07T00:00:00 2 The ALS60 calibration and system performance is verified on a periodic basis using Woolpert's calibration range. The calibration range consists of a large building and runway. The edges of the building and control points along the runway have been located using conventional survey methods. Inertial measurement unit (IMU) misalignment angles and horizontal accuracy are calculated by comparing the position of the building edges between opposing flight lines. The scanner scale factor and vertical accuracy is calculated through comparison of LiDAR data against control points along the runway. Field calibration is performed on all flight lines to refine the IMU misalignment angles. IMU misalignment angles are calculated from the relative displacement of features within the overlap region of adjacent (and opposing) flight lines. The raw LiDAR data is reduced using the refined misalignment angles. 2011-01-01T00:00:00 3 Once the data acquisition and GPS processing phases are complete, the LiDAR data was processed immediately to verify the coverage had no voids. The GPS and IMU data was post processed using differential and Kalman filter algorithms to derive a best estimate of trajectory. The quality of the solution was verified to be consistent with the accuracy requirements of the project. 2012-02-08T00:00:00 4 The individual flight lines were inspected to ensure the systematic and residual errors have been identified and removed. Then, the flight lines were compared to adjacent flight lines for any mismatches to obtain a homogenous coverage throughout the project area. The point cloud underwent a classification process to determine bare-earth points and non-ground points utilizing "first and only" as well as "last of many" LiDAR returns. This process determined Default (Class 1), Ground (Class 2), Noise (Class 7), Water (Class 9), Ignored Ground (Class 10), Overlap Default (Class 17), and Overlap Ground (Class 18). The bare-earth (Class 2 - Ground) LiDAR points underwent a manual QA/QC step to verify that artifacts have been removed from the bare-earth surface. The surveyed ground control points are used to perform the accuracy checks and statistical analysis of the LiDAR dataset. 2012-05-01T00:00:00 5 The NOAA Office for Coastal Management (OCM) received topographic files in .LAZ format. The files contained lidar elevation and intensity measurements. The data were received in UTM Zone 16 N (meters) and NAVD88 vertical datum (meters). OCM performed the following processing for data storage and Digital Coast provisioning purposes: 1. The topographic laz files were converted from orthometric (NAVD88) heights to ellipsoidal heights using Geoid09. 2. The topographic laz files were transformed from UTM Zone 16N to a Geographic Coordinate system (NAD83). 3. The topographic laz files were cleaned of high and low error points and variable length records (vlr) were removed. 4. The topographic las files' horizontal units were converted from meters to decimal degrees. 2013-09-05T00:00:00 gov.noaa.nmfs.inport:49823 Anne Ball 2017-11-15T15:22:32 SysAdmin InPortAdmin 2022-08-09T17:11:36 2022-03-16 OCM Partners OCMP 1002 Public No No 2022-03-16 1 Year 2023-03-16