FALSE
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13355600
FGDC CSDGM Metadata
OneFootContour
604000.000000
748327.245750
592000.000250
676000.000000
1
002
Projected
GCS_North_American_1983
Linear Unit: Foot_US (0.304801)
NAD_1983_StatePlane_Arkansas_North_FIPS_0301_Feet
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20181126
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17094900
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OBJECTID
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SHAPE
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Feature geometry.
Esri
Coordinates defining the features.
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Elevation
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Elevation value for contour line
Esri
US Survey Foot
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Fugro
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Fugro
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1 foot interval contour (depression)
Fugro
ELEVINDEX
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A field used to index the contour interval
City of Fayetteville GIS Office
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City of Fayetteville GIS Office
2
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City of Fayetteville GIS Office
3
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City of Fayetteville GIS Office
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City of Fayetteville GIS Office
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City of Fayetteville GIS Office
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City of Fayetteville GIS Office
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City of Fayetteville GIS Office
OneFootContour
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0
This contour data set will support the NWARPC in their efforts regarding activities in the identified area.
Fugro
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SHAPE_Length
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Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
Megan Blaskovich
Fugro
301-948-8550
7320 Executive Way
Frederick
MD
21704
US
20181126
ArcGIS Metadata
1.0
One Foot Contour
1212-20-16
Fugro
Fugro
Frederick, MD
Lidar
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Fugro Geospatial was tasked by the Northwest Arkansas Planning Commission to generate topographic contours from lidar data collected over Washington and Benton Counties. The project area covers 1315 square miles and includes all of Washington County and the following jurisdictions in Benton County: Avoca, Bella Vista, Bentonville, Cave Springs, Centerton, Farmington, Fayetteville, Gentry, Greenland, Johnson, Little Flock, Lowell, Pea Ridge, Pea Ridge Military Park, Rogers, Siloam Springs, and Springdale. The lidar data was collected by Fugro in two separate projects. The Washington County lidar was acquired between January 5 and 24 2015, and the Benton County lidar was acquired between December 2 and 4, 2015. Lidar data collection was performed with a twin engine aircraft, utilizing a Riegl LMS-Q680i sensor; collecting multiple return x, y, and z as well as intensity data. Specialized in-house and commercial software processes the native lidar data into 3-dimensional positions that can be imported into GIS software for visualization and further analysis. The horizontal datum for the data is the North American Datum of 1983 (NAD83, NSRS2011) and the vertical datum is the North American Vertical Datum of 1988 (NAVD88).</SPAN></P></DIV></DIV></DIV>
This contour data set will support the NWARPC in their efforts regarding activities in the identified area.
Megan Blaskovich
Fugro
301-948-8500
7320 Executive Way
Frederick
MD
21704
US
Geographic Names Information System
Benton County
State of Arkansas
US
Washington County
Keywords
Terrain
Model
Surface
Elevation
Lidar
Contour
Terrain
Model
Benton County
Surface
State of Arkansas
Elevation
Lidar
Contour
US
Washington County
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>he data contained herein was compiled from various sources for the sole use and benefit of the City of Fayetteville Geographic Information System and the public agencies it serves. Any use of the data by anyone other than the City of Fayetteville is at the sole risk of the user; and by acceptance of this data, the user does hereby agree to indemnify the City of Fayetteville and hold the City of Fayetteville harmless from and without liability for any claims, actions, cost for damages of any nature, including the citys cost of defense, asserted by user or by another arising from the use of this data. The City of Fayetteville makes no express or implied warrantees with reference to the data. No word, phrase, or clause found herein shall be construed to waive that tort immunity set forth under Arkansas law.</SPAN></P></DIV></DIV></DIV>
Esri ArcGIS 10.3.1.4959
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35.750404
36.499503
997.000000
2026.000000
ground condition
2015-12-04
2015-01-24
2015-01-08
2015-01-06
2015-01-05
2015-12-02
2015-12-03
2015-01-09
2015-01-07
997.000000
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Fugro
Compliance with the accuracy standard was ensured by the collection of ground control and the establishment of GPS base stations in the project area. The following checks were performed: 1) The lidar data accuracy was validated by performing a full boresight adjustment and then checking it against the ground control prior to generating a digital terrain model (DTM) or other products. 2) Lidar elevation data was validated through an inspection of edge matching and visual inspection for quality (artifact removal). The following software was used for the validation: 1) RiProcess 1.5.8.0, RiWorld 4.5.6.0, RiAnalyze 5.4.4.0, RiServer 1.4.1.0 and 2) Fugro proprietary software.
The Contours cover the entire project delivery boundary. A visual qualitative assessment was performed to ensure data completeness. No void areas or missing data exist. The Contour product is of good quality.
The two lidar data sets were merged by generating a best-fit seamline along the area between the data sets that will have the least impact on the contour quality while representing the most current topographic and cartographic features as possible. It is important to note that due to the two lidar sets being collected almost a year apart, temporal changes affected the hydrography along the boundary between the two datasets which will affect the contours in some areas. These temporal changes are valid and the impact to the contours has been avoided as much as possible. Contours were generated at a 1’ interval by extracting irregular contour key points from the Lidar ground class. This process analyzes points on the ground in groups and selects the point that best represents the bare earth while eliminating points unnecessary for generating contours. Single stream lines were added only in areas to enhance the contours. The double line drains were compiled. The contours were cut into nine (9) layout blocks for delivery making the refresh time quicker and more manageable. Contours and hydro breaklines were delivered in Esri ArcGIS version 10.3 geodatabase format.
1206-20-16
Megan Blaskovich
Fugro
301-948-8550
7320 Executive Way
Frederick
MD
21704
US
Classified Point Cloud
Contours
Fugro collected Riegl-derived lidar over Washington and Benton Counties with 0.7 meters ANPS using a twin engine aircraft. Data was collected when environmental conditions meet the criteria specified. To be specific, the following conditions existed prior to launch of the aircraft: 1) Cloud and fog-free between the aircraft and ground, 2) Snow free, 3) No unusual flooding or inundation, and 4) Leaf off. The collection was performed using a Riegl LMS-Q680i lidar system, serial number 165. There are data voids at the Rogers Municipal-Carter Field Airport due to areas of low near infrared (NIR) reflectivity.
Northwest Arkansas Contours
Aerial Lidar Acquisition
2015-12-10
Fugro
Fugro; Aviation Department
Fugro; Rapid City, SD
ground condition
2015-01-08
2015-12-04
2015-01-07
2015-01-24
2015-01-09
2015-12-03
2015-12-02
2015-01-06
2015-01-05
Under Fugro’s direction, all surveying activities were performed by Fugro's approved ID/IQ subcontractor Terrasurv, Inc. For Washington County, a total of 26 ground control points along with 21 checkpoints in each of the following land cover classifications were collected: bare ground/open terrain (7), tall brush/crops (7), and woods (7). The National Spatial Reference System (NSRS) was used to provide control for the network. Six Continuously Operating Reference Stations (CORS) provided the ties between the NSRS and the new stations. The horizontal datum was the North American Datum of 1983 (NSRS2011), and the vertical datum was the North American Vertical Datum of 1988 (NAVD 1988). The GEOID12A model was used to obtain NAVD 1988 orthometric heights from the GRS 1980 ellipsoidal heights. For Benton County a total of 16 ground control points to support the lidar collection, along with 55 NVA and 45 VVA checkpoints were collected. Control was provided by stations of the National Spatial Reference System (NSRS), and consisted of one Continuously Operating Reference Station (CORS) and three existing NSRS ground stations. The horizontal datum was the North American Datum of 1983 – NAD83 (2011), epoch 2010.0. The vertical datum was the North American Vertical Datum of 1988 (NAVD88), realized with GEOID12B.
FEMA Region 6 – Arkansas QL2 LiDAR Report of Survey, Washington County; Benton County Arkansas QL2 Lidar Report of Survey
Ground Control
2015-12-31
Terrasurv, Inc.
Terrasurv, Inc.; Pittsburgh, PA
Terrasurv, Inc.
ground condition
2015-01-05
2015-12-11
Fugro was tasked with planning, acquiring, processing, and producing derivative products of lidar data collected at an ANPS of 0.7 meters, including overlap, over Washington and Benton County, Arkansas. Lidar data was acquired using a twin engine aircraft equipped with an antenna and receiver for airborne GPS collection. Flight status was communicated during data collection. All acquired lidar data went through a preliminary review to assure that complete coverage had been obtained and that there were no gaps between flight lines before the flight crew left the project site. Once back in the office, the data was run through a complete iteration of processing to ensure that it is complete, uncorrupted, and that the entire project area has been covered without gaps between flight lines. There are essentially three steps to this processing: 1) GPS/IMU Processing - Airborne GPS and IMU data was immediately processed using the airport GPS base station data, which was available to the flight crew upon landing the plane. This ensures the integrity of all the mission data. The following GPS base station was utilized for Washington County: 5063, Benton County utilized GPS base station: 0466. These results were also used to perform the initial lidar system calibration test. 2) Raw Lidar Data Processing - Technicians processed the raw data to LAS format flight lines with full resolution output before performing QC. A starting configuration file is used in this process, which contains the latest calibration parameters for the sensor. The technicians also generated flight line trajectories for each of the flight lines during this process. 3) Verification of Coverage and Data Quality - Technicians checked trajectory files to ensure completeness of acquisition for the flight lines, calibration lines, and cross flight lines. The intensity images were generated for the entire lift at the required 0.7 meter ANPS. Visual checks of the intensity images against the project boundary were performed to ensure full coverage to the 100 meter buffer beyond the project boundary. The intensity histogram was analyzed to ensure the quality of the intensity values. The technician also thoroughly reviewed the data for any gaps in project area. The technician generated a sample TIN surface to ensure no anomalies were present in the data. Turbulence was inspected for each flight line; if any adverse quality issues were discovered, the flight line was rejected and re-flown. The technician also evaluated the achieved post spacing against project specified 0.7 meter ANPS as well as making sure there is no clustering in point distribution.
2015-12-10
Megan Blaskovich
Fugro
301-948-8550
7320 Executive Way
Frederick
MD
21704
US
Raw Lidar Data
Verified Lidar Data
The boresight for each lift was done individually as the solution may change slightly from lift to lift. The following steps describe the Raw Data Processing and Boresight process: 1) Technicians processed the raw data to LAS format flight lines using the final GPS/IMU solution. This LAS data set was used as source data for boresight. 2) Technicians first used Fugro proprietary and commercial software to calculate initial boresight adjustment angles based on sample areas within the lift. These areas cover calibration flight lines collected in the lift, cross tie and production flight lines. These areas are well distributed in the lift coverage and cover multiple terrain types that are necessary for boresight angle calculation. The technician then analyzed the results and made any necessary additional adjustment until it is acceptable for the selected areas. 3) Once the boresight angle calculation was completed for the selected areas, the adjusted settings were applied to all of the flight lines of the lift and checked for consistency. The technicians utilized commercial and proprietary software packages to analyze the matching between flight line overlaps for the entire lift and adjusted as necessary until the results met the project specifications. 4) Once all lifts were completed with individual boresight adjustment, the technicians checked and corrected the vertical misalignment of all flight lines and also the matching between data and ground truth. The relative accuracy was ≤ 6 cm within individual swaths (smooth surface repeatability) and ≤ 8 cm RMSD within swath overlap (between adjacent swaths) with a maximum difference of ± 16 cm. 5) The technicians ran a final vertical accuracy check of the boresighted flight lines against the surveyed check points after the z correction to ensure the Required Accuracy was met.
2015-12-28
Megan Blaskovich
Fugro
301-948-8550
7320 Executive Way
Frederick
MD
21704
US
Verified Lidar Data
Boresighted Lidar Data
Once boresighting was complete for the project, the project was first set up for automatic classification. The lidar data was cut to production tiles. The low noise points, high noise points and ground points were classified automatically in this process. Fugro utilized commercial software, as well as proprietary, in-house developed software for automatic filtering. The parameters used in the process were customized for each terrain type to obtain optimum results. Once the automated filtering was completed, the files were run through a visual inspection to ensure that the filtering was not too aggressive or not aggressive enough. In cases where the filtering was too aggressive and important terrain were filtered out, the data was either run through a different filter within local area or was corrected during the manual filtering process. Bridge deck points were classified as well during the interactive editing process. Interactive editing was completed in visualization software that provides manual and automatic point classification tools. Fugro utilized commercial and proprietary software for this process. All manually inspected tiles went through a peer review to ensure proper editing and consistency. After the manual editing and peer review, all tiles went through another final automated classification routine. This process ensures only the required classifications are used in the final product (all points classified into any temporary classes during manual editing will be re-classified into the project specified classifications). Once manual inspection, QC and final autofilter is complete for the lidar tiles, the LAS data was packaged to the project specified tiling scheme, clipped to project boundary including the 100 meter buffer and formatted to LAS v1.2 for Washington County and LAS v1.4 for Benton County. It was also re-projected to UTM Zone 15 north; NAD83(NSRS2011), meters; Wasington County Used NAVD88(GEOID12A), meters and Benton County used NAVD88(GEOID12B), meters. The file header was formatted to meet the project specification with File Source ID assigned. This Classified Point Cloud product was used for the generation of derived products. This product was delivered in fully compliant LAS v1.2 Point Record Fromat 1 for Washington County and LAS v1.4, Point Record Format 6 for Benton County. Both lidar products included Adjusted Standard GPS Time at a precision sufficient to allow unique timestamps for each pulse. Correct and properly formatted georeference information is in all LAS file headers. Each tile has unique File Source ID assigned. Intensity values are included for each point, normalized to 16-bit. The following classifications are included: Class 1 – Processed, but unclassified; Class 2 – Bare earth ground; Class 7 – Low Noise; Class 9 – Water; Class 10 – Ignored Ground. Benton County included the additional classifications: Class 17 – Bridge Decks; and Class 18 – High Noise. The classified point cloud data was delivered in tiles without overlap using the project tiling scheme.
2016-06-06
Megan Blaskovich
Fugro
301-948-8550
7320 Executive Way
Frederick
MD
21704
US
Boresighted Lidar Data
Classified Point Cloud
0
File Geodatabase Feature Class
dataset
EPSG
8.6.2
Simple
FALSE
0
TRUE
FALSE
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