Merrick-Surdex Joint Venture, LLP 20230208 las data LIDAR-derived binary (.las) files ASPRS ver 1.4 format containing classified points of all returns. We have 11 classifications Unclassified, Ground, Automated Low Veg [0.5-5 feet] , Automated Medium Veg [5-20 feet], Automated High Veg [>20 feet], Automated Buildings, Low Noise, Water, Bridge Decks, High Noise and Ignore Ground (breakline proximity). The files are delivered in 2000ft by 2000ft tiles. These files adhere to the USGS-NGP Lidar Base Specification 2021 Rev. A, Quality Level 2 (QL2) standards. The contractual aggregate nominal pulse spacing (ANPS) is less than or equal to 0.5m. The contractual aggregate nominal point density (ANPD) is 4.0 points or greater per square meter. This task is for providing a spring 2022 leaf-off and snow-free lidar survey over an Area of Interest (AOI) of approximately 9,013 square miles in central and northeastern Illinois. This Task Order will support the National Resources Conservation Service (NRCS) agricultural resource mapping and soil survey programs, and the 3DEP mission. The following will describe the proposed services and associated revised costs to successfully complete the mission. The IL_West WU area 300135 is approximately 3161 square miles. USGS Task Order 140G0222F0045-IL_MidNorth_D22 Synthetic Points: Optech's Galaxy T2000 raw lidar post-processing software LMS uses a method to fill small voids with synthetic points when the PulseTRAK algorithm drops a point recording. This can happen between the transition of PIA (pulse-in-air) zones. USGS-NGP Lidar Base Specification 2021, Revision A Optech Galaxy T2000 Airborne Laser Terrain Mappers (ALTM) 5060475, 5060492 & 5060495 8 0.5 4 0.5 4 2585,3250 170 45,40 98,69 1200,600 3.5 1.2925,1.625 1064 1 0.25 2141,2366 20,55 National Geodetic Survey (NGS) Geoid18 0.26,0.32 0.0 0 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 using the standard LAS overlap bit. 12 1 Unclassified 2 Ground 3 Low Vegetation (0-3m; automated only) 4 Medium Vegetation (3-7m; automated only) 5 High Vegetation (greater than 7m; automated only) 6 Buildings (automated only) 7 Low Noise 9 Water 17 Bridge 18 High Noise 20 Ignore Breakline 20220410 20220628 ground condition Complete Unknown -90.0899223594726 -88.9192068322061 41.3255003115378 40.2638697174618 2318000 2642000 1698000 1310000 None Breaklines Elevation Data Lidar Intensity None Illinois No restrictions apply to these data. None. However, users should be aware that temporal changes may have occurred since this dataset was collected and that some parts of these data may no longer represent actual surface conditions. Users should not use these data for critical applications without a full awareness of its limitations. Acknowledgement of the U.S. Geological Survey would be appreciated for products derived from these data. Data covers the entire area specified for this project. These LAS data files include all data points collected. No points have been removed or excluded. A visual qualitative assessment was performed to ensure data completeness. No void areas or missing data exist. The raw point cloud is of good quality and data passes Non-Vegetated Vertical Accuracy specifications. ISGS completed a QAQC review and created the raster mosaics from the lidar data. In some places the Illinois River seems to be out of its banks when the LiDAR data was collected. There is a sporadic issue of points in one of the advanced classifications, i.e. points that represent structures, trees, etc., being misclassified into one of the other classes. The lidar data set was produced to meet ASPRS "Positional Accuracy Standards for Digital Geospatial Data" (2014) for a 30 (cm) RMSEx / RMSEy Horizontal Accuracy Class which equates to Positional Horizontal Accuracy = +/- 73.4 cm at a 95% confidence level. This data set was produced to meet ASPRS Positional Accuracy Standard for Digital Geospatial Data (2014) for a 10-cm RMSEz Vertical Accuracy Class. LIDAR data was collected using the 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 veg [0.5-5 feet], medium veg [5-20 feet], high veg [>20 feet], automated buildings, low noise, water, bridge decks, high noise and ignore ground (breakline proximity). The data was next taken into MARS to reclassify the erroneous points that may remain in the LIDAR point cloud after auto filter. Four points or greater per square meter (QL2+) ASPRS ver 1.4 format. 20230208 LiDAR swath data was measured to have an aggregate of 0.351 meter nominal pulse spacing and 8.127 pulses per meter. The method used was counting first return points within the each swath then dividing by the area of the extent of the corresponding swath to get density. NPS was mathematically derived from this density number. This was performed on each swath then averaged to generate the two numbers above. This USGS method does not consider swath sidelap in these calculations. 20230208 Point NAD_1983_2011_StatePlane_Illinois_West_FIPS_1202_Ft_US 0.9999411764705882 -90.16666666666667 36.66666666666666 2296583.333333333 0.0 coordinate pair 0.001 0.001 foot_us NAD83(2011) GRS 1980 6378137.0 298.257222101 North American Vertical Datum of 1988 Geoid2018 0.001 foot_us Explicit elevation coordinate included with horizontal coordinates 20230208 Merrick-Surdex Joint Venture, LLP mailing and physical address

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