Merrick & Co 20180520 LAS data Classified LAS 1.4 Classified LAS 1.4 Greenwood Village, CO Merrick & Co. LIDAR-derived binary (.las) files containing classified points of all returns. We have 7 classifications Unclassified, Ground, Low Noise, Water, Ignore Ground, Bridge Decks and High Noise. The files are delivered in section formatted tiles. These files adhere to the National Enhanced Elevation Assessment (NEEA) Quality Level 2 standards, two points or greater per square meter. LiDAR terrain mapping to the SNWA for five (5) non-contiguous project areas within Clark County, Nevada. SNWA will utilize the final deliverables to assist with managing the region's water resources and develop solutions that will ensure adequate future water supplies for the Las Vegas Valley. The Desert Conservation Program (DCP) is contributing funds to SNWA for specific Scope Of Work (SOW) tasks and deliverables. USGS NGP Base Specification v1.4 Optech Galaxy Airborne Laser Terrain Mappers (ALTM) SN5060385 8 0.7 2 0.7 2 1950 170 40 64 300 3.5 1.05 1064 1 0.25 1419 20 NAD_1983_2011_StatePlane_Nevada_East_FIPS_2701_Ft_US National Geodetic Survey (NGS) Geoid12B 0.36 0.088 36 0.061 36 0.230 39 1.4 6 Withheld (ignore) points were identified in these files using the standard LAS Withheld bit. Swath "overage" points were not identified in these files by a separate bit flag. 12-bit 1 Undetermined/Unclassifed 2 Ground 7 Low point (noise) 9 Water 10 Ignore ground (near a breakline) 17 Bridge Decks 18 High Noise 20180413 20180417 ground condition Complete Unknown -114.978950 -113.997449 36.868273 34.972156 none DEM LIDAR Breaklines none Clark Co Nevada none 2018 Unknown Unknown Craig Hale Las Vegas Valley Water District / Southern Nevada Water Authority Spatial Technologies Project Manager mailing and physical address

100 City Parkway Suite 700

Las Vegas NV 89106 702-862-3730 craig.hale@snwa.com Microsoft Windows Vista Version 6.1 (Build 7601) Service Pack 1; ESRI ArcCatalog 9.3.1.4095 Verification of attribute accuracy for LiDAR data involves the use of filtering techniques. Auto-filtering uses algorithms to reclassify data in the point cloud. Hand-filtering involves the analysis of a technician working in a graphic environment to reclassify the erroneous points that may remain in the LiDAR point cloud after auto-filter. Calibrations of the LiDAR flightline data are performed; this process is known as boresighting. The flightlines are compared to evaluate both their relative and absolute accuracies. The dataset was reviewed to ensure completeness and accuracy. This data set was produced to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 21.0cm RMSEx / RMSEy Horizontal Accuracy Class which equates to Positional Horizontal Accuracy = +/- 36.35cm at a 95% confidence level. This data set was tested to meet ASPRS Positional Accuracy Standard for Digital Geospatial Data (2014) for a 10-cm RMSEz Vertical Accuracy Class. Actual NVA accuracy was found to be RMSEz = 4.508cm, equating to +/- 8.836cm at the 95% confidence level. Actual VVA accuracy was found to be +/-23.004cm at the 95th percentile. Thirty-six (36) NVA check points and thirty-nine (39) VVA check points were used. .061 The NVA was tested using 36 independent survey checkpoints located in open terrain areas. The checkpoints were distributed throughout the project area. Elevations interpolated from the DEM surface were compared to the elevation values from the surveyed checkpoints. The RMSEz was computed to be 3.1cm and the Accuracyz to be +/- 6.1cm at the 95% confidence level. This meets the required Accuracyz value of 19.6cm or better at the 95% confidence level. The VVA was tested with using 39 independent survey checkpoints located in vegetated terrain. The checkpoints were distributed throughout the project area. Elevations interpolated from the DEM surface were compared to the elevation values from the surveyed checkpoints. Actual VVA accuracy was found to be +/-23.0cm at the 95th percentile. This meets the required Accuracyz value of 29.4cm or better at the 95th percentile. Merrick & Co 20180520 spreadsheet LIDAR check points LIDAR check points Las Vegas, NV SNWA 1200 disc 2018 ground condition LIDAR check points 36 NVA and 39 VVA check points were used Merrick & Co 20180520 LAS data LIDAR LIDAR Greenwood Village, CO Merrick & Co 1200 disc 20180413 20180417 ground condition LIDAR ASPRS LAS 1.4 QL2 specifications, two points per square meter. LIDAR data was collected using Optech Galaxy sensor. The raw data was verified in MARS software for complete coverage of the project area, and boresighted to align the flightlines. Raw data files were parsed into manageable client-specific tiles. These tiles were then processed through automated filtering that separates the data into different classification groups: unclassified points, ground points, low noise, water, ignored ground, bridge decks and high noise. The data was next taken into MARS to reclassify the erroneous points that may remain in the LIDAR point cloud after auto filter. Two points per square meter (QL2). 20180520 09035700 Doug Jacoby Merrick & Co Project Manager mailing and physical address

5970 Greenwood Plaza Blvd.

Greenwood Village CO 80111 303-353-3903 doug.jacoby@merrick.com Point Point 1 State Plane Coordinate System 1983 2701 0.9996 -99.000000 0.000000 500000 0 coordinate pair 0.001 0.001 survey feet North American Datum of 1983 (2011) Geodetic Reference System 80 6378137.000000 298.257222 North American Vertical Datum of 1988 Geoid12B 0.001 feet Explicit elevation coordinate included with horizontal coordinates Classified LIDAR QL2 Classified LIDAR QL2 Merrick & Co ASPRS LAS 1.4: 1 = Unclassified 2 = Ground 7 = Low noise 9 = Water 10 = Ignore ground 17 = Bridge decks 18 = High noise ASPRS LAS 1.4: 1 = Unclassified 2 = Ground 7 = Low noise 9 = Water 10 = Ignore ground 17 = Bridge decks 18 = High noise Doug Jacoby Merrick & Co Project Manager mailing and physical address

5970 Greenwood Plaza Blvd.

Greenwood Village CO 80111 303-353-3903 doug.jacoby@merrick.com Unknown 20180520 Merrick & Co Doug Jacoby Project Manager REQUIRED: The mailing and/or physical address for the organization or individual. REQUIRED: The city of the address. REQUIRED: The state or province of the address. REQUIRED: The ZIP or other postal code of the address. 303-353-3903 doug.jacoby@merrick.com FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998 local time