Woolpert, Inc. 20120416 Unknown vector digital data Shelby County, TN 1m NPS LiDAR and 2-D Building Feature Extraction Memphis, TN 1m NPS LiDAR and Feature Extraction LiDAR Data Acquisition and Processing Production Task USGS Contract No. G10PC00057 Task Order No. G11PD00768 Woolpert Order No. 71665 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 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. This task required feature extraction following the guidance provided in the NGA document "LiDAR Extraction Guide 08OCT2010 [FOUO].pdf". The LiDAR data was acquired on December 01, 2011. Woolpert utilized proprietary algorithms to automatically extract building footprints formed by the intersection of the structure with the ground surface. This task required 2-D building feature extraction (building footprint) for 560 square miles of the AOI in Shelby County Tennessee. LIDAR data is used for 3D visualization, elevation based analysis and for feature extraction. Extracted features can be used for any analysis or visualization task that requires vector feature data. 20111201 20120123 20120124 ground condition Complete As needed -90.310309 -89.633521 35.409258 34.995666 Light Distancing And Ranging LIDAR Digital Elevation Model DEM Average ground sample distance 1m 1meter resolution elevation model Software driven extraction of geographic feature data Automated Feature Extraction Individual elements of buildings captured as separate features Building Components Individual sections attributed with height information to support viewing in a 3D environment 2D Buildings None United States Tennessee Memphis Shelby No restrictions apply to this data. None. However, 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be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions.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 it's limitations. USGS/NGTOC mailing and physical address

1400 Independence Rd.

Rolla MO 65401 USA (573) 308-3654 (573) 308-3810 8:00 a.m. to 5:00 p.m. Central Time n/a Unclassified Unclassified Unclassified Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 2; ESRI ArcCatalog 9.1.0.722 Shelby County, TN 1m NPS LiDAR and 2-D Building Feature Extraction / Memphis, TN 1m NPS LiDAR and Feature Extraction Unpublished Material raster digital data 1) Shelby County, TN 1m NPS LiDAR and Feature Extraction LiDAR Data Acquisition and Processing The LiDAR collected for this task order was tested to meet a vertical accuracy of 5.4 cm (0.18 ft) Root Mean Squared (RMSE). 2) Memphis, TN 1m NPS LiDAR and Feature Extraction LiDAR Data Acquisition and Processing The LiDAR collected for this task order was tested to meet a vertical accuracy of 6.9 cm (0.23 ft) Root Mean Squared (RMSE). 3) The entire Shelby County project area consisting of the combination of the Memphis AOI and the Shelby County AOI 1m NPS LiDAR and Feature Extraction LiDAR Data Acquisition and Processing The LiDAR collected for this task order was tested to meet a vertical accuracy of 6.4 cm (0.21 ft) Root Mean Squared (RMSE). 1) Shelby County, TN 1m NPS LiDAR and Feature Extraction LiDAR Data Acquisition and Processing: 5.4 cm (0.18 ft) RMSE 2) Memphis, TN 1m NPS LiDAR and Feature Extraction LiDAR Data Acquisition and Processing: 6.9 cm (0.23 ft) RMSE 3) The entire Shelby County project area consisting of the combination of the Memphis AOI and the Shelby County AOI 1m NPS LiDAR and Feature Extraction LiDAR Data Acquisition and Processing: 6.4 cm (0.21 ft) Root Mean Squared (RMSE). 1) Shelby County, TN 1m NPS LiDAR and Feature Extraction LiDAR Data Acquisition and Processing: Points tested will produce an error less than 5.4 cm (0.18 ft) RMSE. 2) Memphis, TN 1m NPS LiDAR and Feature Extraction LiDAR Data Acquisition and Processing: Points tested will produce an error less than 6.9 cm (0.23 ft) RMSE. 3) The entire Shelby County project area consisting of the combination of the Memphis AOI and the Shelby County AOI 1m NPS LiDAR and Feature Extraction LiDAR Data Acquisition and Processing: Points tested will produce an error less than 6.4 cm (0.21 ft) (RMSE). LIDAR data is processed using Automated Feature Extraction routines. This software is tunable to produce consistent results from different LIDAR sources and collection locations. For this collection area the software was run with the same settings for the entire extent of LIDAR data. Following Automated Feature Extraction Q/C processes are used to verify consistency of automated extraction and perform any required manual editing. LIDAR data is processed using Woolpert Automated Feature Extraction software. Results of automated process are reviewed to verify consistancy and accuracy of feature extraction. During review features may be added, deleted or modified to better represent the feature portrayed in the raw LIDAR data. The goal of the process is to capture greater than 95% of building features greater than 8m x 8m in size. In practice the software consistently exceeds this standard when processing high quality LIDAR data. Horizontal accuracy is +/- 3.8-foot at the 95% confidence level. 3.8 LiDAR system calibration is available in the project report. LAS data consiting of consisting of the combination of the Memphis AOI and the Shelby County AOI 1m NPS LiDAR and Feature Extraction LiDAR Data Acquisition and Processing 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, Tall Weeds/Crops, Urban, and Forested Fully Grown. LAS Swath Fundamental Vertical Accuracy (FVA) Tested 0.411 feet fundamental vertical accuracy at a 95 percent confidence level, derived according to NSSDA, in open terrain using 6.4 cm (0.21 ft)(Rmse(z) x 1.96000. Bare-Earth DEM Fundamental Vertical Accuracy (FVA) Tested 0.411 feet fundamental vertical accuracy at a 95 percent confidence level, derived according to NSSDA, in open terrain using 6.4 cm (0.21 ft)(Rmse(z) x 1.96000. 12.5 cm (0.411 ft) LAS Swath Fundamental Vertical Accuracy (FVA) Tested 0.411 feet fundamental vertical accuracy at a 95 percent confidence level, derived according to NSSDA, in open terrain using Rmse(z) x 1.96000. Tested against the TIN. 12.5 cm (0.411 ft) Bare-Earth DEM Fundamental Vertical Accuracy (FVA) Tested 0.411 feet fundamental vertical accuracy at a 95 percent confidence level, derived according to NSSDA, in open terrain using Rmse(z) x 1.96000. Tested against the TIN. 15.4 cm (0.506 ft) Bare Earth/Open Terrain Land Cover Classification Supplemental Vertical Accuracy (SVA) Tested 0.506 feet supplemental vertical accuracy at the 95th percentile in Bare Earth/Open Terrain. Tested against the DEM. Errors larger than 95th percentile include: Point Shelby 8520, Easting 874073.33, Northing 375139.97, Z-Error 0.62 feet Point Shelby 8526, Easting 851991.03, Northing 279399.45, Z-Error 0.51feet 14.2 cm (0.466 ft) Urban Land Cover Classification Supplemental Vertical Accuracy (SVA) Tested 0.466 feet supplemental vertical accuracy at the 95th percentile in Urban. Tested against the DEM. Errors larger than 95th percentile include: Point Memphis 4016, Easting 799919.87, Northing 343876.41, Z-Error 0.47 feet Point Memphis 4021, Easting 813156.34, Northing 300550.74, Z-Error 0.61 feet 20.8 cm (0.684 ft) Tall Weeds/Crops Land Cover Classification Supplemental Vertical Accuracy (SVA) Tested 0.684 feet supplemental vertical accuracy at the 95th percentile in Tall Weeds/Crops. Tested against the DEM. Errors larger than 95th percentile include: Point Memphis 2009, Easting 795135.34, Northing 307651.37, Z-Error 0.74 feet 13.71 cm (0.45 ft) Forested and Fully Grown Land Cover Classification Supplemental Vertical Accuracy (SVA) Tested 0.45 feet supplemental vertical accuracy at the 95th percentile in Forested and Fully Grown. Tested against the DEM. Errors larger than 95th percentile include: Point Shelby 3022, Easting 735515.22, Northing 291371.02, Z-Error -0.56 feet Point Memphis 3019, Easting 805584.37, Northing 267989.81, Z-Error 0.51 feet Point Memphis 3034, Easting 760293.32, Northing 292207.13, Z-Error 0.73 feet 16.42 cm (0.539 ft) Consolidated Vertical Accuracy (CVA) Tested 0.539 feet consolidated vertical accuracy at the 95th percentile level, derived according to ASPRS Guidelines for Vertical Accuracy Reporting for LiDAR Data. Based on the 95th percentile error in all land cover categories combined. Tested against the DEM. Errors larger than 95th percentile include: Point Shelby 3022, Easting 735515.22, Northing 291371.02, Z-Error -0.56 feet Point Shelby 2034, Easting 828910.65, Northing 300346.62, Z-Error 0.55 feet Point Shelby 2006, Easting 853120.92, Northing 271613.49, Z-Error 0.59 Point Shelby 8520, Easting 874073.33, Northing 375139.97, Z-Error 0.62 Point Shelby 2032, Easting 860337.05, Northing 338595.58, Z-Error 0.7 Point Memphis 2022, Easting 794021.21, Northing 347609.77, Z-Error 0.57 Point Memphis 4021, Easting 813156.34, Northing 300550.74, Z-Error 0.61 Point Memphis 2010, Easting 813731.55, Northing 314704.55, Z-Error 0.66 Point Memphis 2002, Easting 775222.95, Northing 349206.19, Z-Error 0.68 Point Memphis 3034, Easting 760293.32, Northing 307651.37, Z-Error 0.73 Point Memphis 2009, Easting 795135.34, Northing 307651.37, Z-Error 0.74 Shelby County, TN 1m NPS LiDAR and 2-D Building Feature Extraction / Memphis, TN 1m NPS LiDAR and Feature Extraction 2012 Unknown vector digital data 3000 Hard Drive 20120630 unknown ground condition LIDAR Raw spatial elevation information Using a LH Systems Light Detection And Ranging (LiDAR) system, 71 flight lines of high density data, at a nominal pulse spacing (NPS) of 1.0 meter, were collected in and near Shelby County Tennessee (approximately 798 square miles). Multiple returns were recorded for each laser pulse along with an intensity value for each return. A total of four (4) missions were flown on January 23, 2012 and January 24, 2012. A single airborne global positioning system (GPS) base station was used in support of the LiDAR data acquisition. 21 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 ArcINFO ArcGrid binary format: bare-earth. System Parameters: - Type of Scanner = LH Systems ALS50 - Data Acquisition Height = 6,500 feet AGL - Scanner Field of View = 40 degrees - Scan Frequency = 41.8 Hertz - Pulse Repetition Rate - 115.6 Kilohertz - Aircraft Speed = 130 Knots - Full Swath Width = 4,732 feet - Number of Returns Per Pulse = Maximum of 4 - Distance Between Flight Lines = 3,310 feet. 20120123 1200 Woolpert, Inc. Geospatial Services mailing and physical address

4454 Idea Center Blvd.

Dayton OH 45430 USA (937) 461-5660 (937) 461-0743 8:00 a.m. to 5:00 p.m. Eastern Time The ALS50 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. 20111130 1200 Woolpert, Inc. Geospatial Services mailing and physical address

4454 Idea Center Blvd.

Dayton OH 45430 USA (937) 461-5660 (937) 461-0743 8:00 a.m. to 5:00 p.m. Eastern Time 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. 20120124 1200 Woolpert, Inc. Geospatial Services mailing and physical address

4454 Idea Center Blvd.

Dayton OH 45430 USA (937) 461-5660 (937) 461-0743 8:00 a.m. to 5:00 p.m. Eastern Time 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 bare-earth points (Class 2), Noise (Class 7), Water (Class 9) Ignored ground (Class 10) and unclassified data (Class 1). 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. 20121202 1200 Woolpert, Inc. Geospatial Services mailing and physical address

4454 Idea Center Blvd.

Dayton OH 45430 USA (937) 461-5660 (937) 461-0743 8:00 a.m. to 5:00 p.m. Eastern Time Automated Feature Extraction: Using proprietary Woolpert software the raw LIDAR and Bare Earth model were processed to extract and attribute building and vegetation features. Automated extraction was followed by detailed Q/C to verify completeness and accuracy of extraction. Final Q/C'ed features were attributed with geometrically derived attributes based on feature extents, reflective surface DEM and Bare Earth DEM. 20120530 Data Formatting and Q/C: Extracted and attributed features were reviewed for completeness and consistency. Projection information and metadata were added to final vector data files. 20120629 0 State Plane Coordinate System 1983 4100 Tennessee 35.250000 36.416667 -86.00000 34.333333 1968500.0 0.0000000 coordinate pair 1.000000 1.000000 Survey Feet North American Datum of 1983 Geodetic Reference System 80 6378137.000000 298.257224 North American Vertical Datum of 1988 0.000100 Survey Feet Explicit elevation coordinate included with horizontal coordinates 2D Building Footprints 2D Building Footprints for Shelby County, TN 1m NPS LiDAR and Feature Extractaction Woolpert ID Polygon ID number for the building substructure. Woolpert Sequential unique whole numbers that are automatically generated. Shape Feature geometry. ESRI Coordinates defining the features. HGT2d Median height of building substructure above ground level, based on the difference between the DEM and the bare earth model. Woolpert Unknown Unknown meters .01 ARA2d Area of the entire building footprint, in square meters. Woolpert 0 Unknown square meters .01 LEN2d Length of the 2D building, in meters. Feature and Attribute Coding Catalog (FACC) 0 Unknown meters .1 WID2d Width of the 2D building, in meters. Feature and Attribute Coding Catalog (FACC) 0 Unknown meters .1 Woolpert, Inc. Geospatial Services mailing and physical address

4454 Idea Center Blvd.

Dayton OH 45430 USA (937) 461-5660 (937) 461-0743 8:00 a.m. to 5:00 p.m. Eastern Time Hard Drive No warranty expressed or implied is made regarding the utility or the data on any other system, nor shall the act of distribution constitute any such warranty ESRI Shapefile on HD None Upon request from distributor. Data release caveats may apply Variable 20120416 Woolpert, Inc. Geospatial Services mailing and physical address

4454 Idea Center Blvd.

Dayton OH 45430 USA (937) 461-5660 (937) 461-0743 8:00 a.m. to 5:00 p.m. Eastern Time FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998 local time Unclassified Unclassified Unclassified http://www.esri.com/metadata/esriprof80.html ESRI Metadata Profile