49825
2013 NRCS-USGS Lidar: Lauderdale (MS)
ms2013_nrcs_usgs_lauderdale_m3660_metadata
Data Set
Published / External
49401
Lidar - partner (no harvest)
Project
Completed
2014-07-02
TASK NAME:NRCS LAUDERDALE MS 0.7M NPS LIDAR. LiDAR Data Acquisition and Processing Production Task. USGS Contract No. G10PC00057. Task Order No. G12PD000125
Woolpert Order No. 073054. CONTRACTOR: Woolpert, Inc. 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 0.7m. 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.
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 0.7m. 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.
10469
A footprint of this data set may be viewed in Google Earth at:
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/3660/supplemental/ms2013_nrcs_usgs_lauderdale_m3660.kmz
Lidar report for this data set is available here:
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/3660/supplemental/ms2013_nrcs_usgs_lauderdale_lidarreport_m3660.pdf
Survey reports are available here:
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/3660/supplemental/ms2013_nrcs_usgs_lauderdale_surveyreport_m3660.pdf
Theme
ISO 19115 Topic Category
elevation
Office for Coastal Management
Charleston
SC
Data Set
As Needed
las
Lidar points in LAZ format (Classes 1,2,7,9,10,17,18)
none
Any conclusions drawn from the analysis of this information are not the responsibility of USGS, USDA-NRCS, Woolpert, NOAA, the Office for Coastal Management or its partners.
Data Steward
2014-07-02
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
2014-07-02
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
2014-07-02
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
2014-07-02
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
-89.349129
-88.358578
33.210577
31.819034
Discrete
2013-01-31
Discrete
2013-02-01
Discrete
2013-02-02
Discrete
2013-02-03
Discrete
2013-02-06
Discrete
2013-02-09
Discrete
2013-02-14
Discrete
2013-02-15
Discrete
2013-02-16
Discrete
2013-02-17
Discrete
2013-02-18
Discrete
2013-02-27
Discrete
2013-03-03
Yes
Unclassified
This data can be obtained on-line at the following URL:
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=3660;
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=3660
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/geoid18/3660/index.html
Bulk Download
Simple download of data files.
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/3660/supplemental/ms2013_nrcs_usgs_lauderdale_m3660.kmz
Browse Graphic
Browse Graphic
kmz
This graphic shows the coverage of the 2013 Lauderdale lidar in Mississippi.
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.
Compiled to meet 0.623 meters horizontal accuracy at 95 percent confidence level. LiDAR system calibration is available in the project report.
LAS data covering the Lauderdale MS 0.7 meter 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.
Fundamental Vertical Accuracy (FVA)
LAS Swath Fundamental Vertical Accuracy (FVA) Tested 0.135 meters fundamental vertical accuracy at a 95 percent confidence level, derived according to NSSDA, in open terrain using 0.069 meters (RMSEz) x 1.96000. Tested against the TIN using independent check points.
Bare-Earth DEM Fundamental Vertical Accuracy (FVA) Tested 0.139 meters fundamental vertical accuracy at a 95 percent confidence level, derived according to NSSDA, in open terrain using 0.071meters (RMSEz) x 1.96000. Tested against the DEM using independent check points.
Supplemental Vertical Accuracy (SVA)
Bare Earth/Open Terrain Land Cover Classification Supplemental Vertical Accuracy (SVA) Tested 0.139 meters supplemental vertical accuracy at the 95th percentile in Bare Earth/Open Terrain. Tested against the DEM.
Urban Land Cover Classification Supplemental Vertical Accuracy (SVA) Tested 0.135 meters supplemental vertical accuracy at the 95th percentile in Urban. Tested against the DEM.
Tall Weeds/Crops Land Cover Classification Supplemental Vertical Accuracy (SVA) Tested 0.289 meters supplemental vertical accuracy at the 95th percentile in Tall Weeds/Crops. Tested against the DEM.
Brush Lands and Trees Land Cover Classification Supplemental Vertical Accuracy (SVA) Tested 0.248 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 0.186 meters supplemental vertical accuracy at the 95th percentile in Forested and Fully Grown. Tested against the DEM.
Consolidated Vertical Accuracy (CVA)
Tested 0.228 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. Based on the 95th percentile error in all land cover categories combined.
The LiDAR data is visually inspected for completeness to ensure that are no gaps between flight lines.
All formatted data are validated using commercial GIS software to ensure proper formatting and loading prior to delivery.
1
USGS Contract No. G10PC00057. Task Order No. G12PD000125. Woolpert Order No. 073054
2
Using Leica ALS70 (LiDAR) system 159 flight lines of high density data, at a nominal pulse spacing (NPS) of 0.7 meters, were collected for this task order (approximately 3,518 square miles of southeastern Mississippi). AGL = 6,500 feet - Aircraft Speed = 150 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 between January 31, 2013 and March 03, 2013 . Four (4) airborne Global Navigation Satellite System (GNSS) Base Stations were used in support of the LiDAR data acquisition. ground control points were surveyed through static methods. The geoid used to reduce satellite derived elevations to orthometric heights was GEOID12a. Data for the task order is referenced to the UTM Zone 16N, North American Datum of 1983 (2011), 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.
2013-01-31T00:00:00
3
The ALS70 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.
2012-01-01T00:00:00
4
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.
2013-02-03T00:00:00
5
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.
2013-02-01T00:00:00
6
The NOAA Office for Coastal Management (OCM) received the LAS files in from MARIS (Mississippi Automated Resource Information System). The data was received in Mississippi East State Plane (NAD83) feet horizontal coordinates with vertical coordinates referenced to NAVD88 in feet.
using the Geoid12a model. OCM performed the following processing for data storage and Digital Coast provisioning purposes:
1. The data were stripped of variable length records (VLRs) and converted to LAZ format.
2. The vertical coordinates were reprojected to ellipsoidal heights and horizontal coordinates were reprojected to geographic.
2014-07-02T00:00:00
gov.noaa.nmfs.inport:49825
Anne Ball
2017-11-15T15:22:33
SysAdmin InPortAdmin
2022-08-09T17:11:36
2022-03-16
OCM Partners
OCMP
1002
Public
No
2022-03-16
1 Year
2023-03-16