Atlantic Unpublished material LAS Lidar Product: Classified LAS 1.4 USGS task order 140G0219F0006-NM_SouthEast_2018_D19 required Fall 2018/Spring 2019 leaf-off LiDAR surveys to be collected over 26,650 square miles covering part or all of thirteen (13) counties in Southeast New Mexico. Aerial LiDAR data for this task order was planned, acquired, processed and produced at an aggregate nominal pulse spacing (ANPS) of 0.71 meters and in compliance with USGS National Geospatial Program LiDAR Base Specification version 1.3. The Block 7 portion of this project encompasses part of De Baca, Roosevelt, Lea, Lincoln, and Chaves counties, covering approximately 2,559 square miles. Base Specifications 1.3 Teledyne Optech Galaxy Prime 8 .5508 3.2964 0.5143 3.7812 4,832 140 38 54 330 -999999 0.945 1064 1 .25 21618 23% National Geodetic Survey (NGS) Geoid12B 0 0 0 0 0 0 0 1.4 6 Withheld (ignore) points were identified in these files using the standard LAS Withheld bit. Swath "overage" points were identified in these files using the standard LAS overlap bit. 32 1 Unclassified 2 Ground 7 Low point (noise) 9 water 17 Bridge Decks 18 High Point (Noise) 20 Ignored Ground (Breakline Proximity) 21 Snow (if present and identifiable) 22 Temporal exclusion The collected QL2 LiDAR data will support the 3DEP mission, the Natural Resources Conservation Services (NRCS) high resolution elevation enterprise program and the Federal Emergency Management Agency (FEMA) Risk Mapping, Assessment and Planning (MAP) program. none 20181120 20181125 ground condition Complete Unknown -105.151881 -103.646168 34.157217 33.423110 None Elevation LiDAR Relief Digital Terrain Model Intensity Imagery LAS Breakline None New Mexico southeast De Baca Roosevelt Otero Lea Chaves USGS United States Geological Survey No restrictions apply to this data the data represented is the result of data collection and processing per contract specifications and indicates the general existing conditions at the time of the data collection. As such, it is only valid for its intended use, content, time, and accuracy specifications. The user is responsible for the results of any application of the data for other than its intended purpose. 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be aware that temporal changes may have occurred since this dataset was collected and that some parts of these data may no longer represent actual surface conditions.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 the limitations of the data. Acknowledgment of owner would be appreciated for products derived from these data.The data represented is the result of data collection and processing per contract specifications and indicates the general existing conditions at the time of the data collection. As such, it is only valid for its intended use, content, time, and accuracy specifications. The user is responsible for the results of any application of the data for other than its intended purpose. United States Geological Survey Brent Marz Government Point of Contact mailing and physical

1400 Independence Road

Rolla Missouri client zip USA 573-308-3538 bmarz@usgs.gov All lidar data and lidar derived data covers the entire area of interest. All lidar point cloud tiles show no edge artifacts or mismatches from tile to tile. Void areas (i.e. areas outside the project boundary but within the tiling scheme) are coded using a unique NODATA value. This value is identified in the appropriate location within the file header. Data cover the entire area specified for this project. Area of interest covers project area. 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 NVA specifications. Void areas (i.e., areas outside the project boundary but within the tiling scheme) are coded using a unique NODATA value. This value is identified in the appropriate location within the file header. This data set was produced to meet ASPRS Positional Accuracy Standard for Digital Geospatial Data (2014) for a 10-cm RMSEz Vertical Accuracy Class. Aircraft and Sensor Information and Flight Plan Execution Atlantic acquired one hundred twelve (112) passes of the AOI as a series of perpendicular and/or adjacent flight-lines executed in nine (9) flight missions conducted between November 20, 2018 and November 25, 2018. Onboard differential Global Navigation Satellite System (GNSS) unit(s) recorded sample aircraft positions at 2 hertz (Hz) or more frequency. LiDAR data was only acquired when a minimum of six (6) satellites were in view. 20181125 Ground Control Survey A total of 93 ground survey points were collected in support of this project, including 22 LiDAR Control Points (LCP), 41 Non-vegetated Vertical Accuracy (NVA) and 30 Vegetated Vertical Accuracy (VVA). Point cloud data accuracy was tested against a Triangulated Irregular Network (TIN) constructed from LiDAR points in clear and open areas. A clear and open area can be characterized with respect to topographic and ground cover variation such that a minimum of five (5) times the Nominal Pulse Spacing (NPS) exists with less than 1/3 of the RMSEZ deviation from a low-slope plane. Slopes that exceed ten (10) percent were avoided. Each land cover type representing ten (10) percent or more of the total project area were tested and reported with a VVA. In land cover categories other than dense urban areas, the tested points did not have obstructions forty-five (45) degrees above the horizon to ensure a satisfactory TIN surface. The VVA value is provided as a target. It is understood that in areas of dense vegetation, swamps, or extremely difficult terrain, this value may be exceeded. The NVA value is a requirement that must be met, regardless of any allowed “busts” in the VVA(s) for individual land cover types within the project. Checkpoints for each assessment (NVA and VVA) are required to be well-distributed throughout the land cover type, for the entire project area. 20181125 LiDAR Point Cloud Generation Atlantic used Leica software products to download the IPAS ABGNSS/IMU data and raw laser scan files from the airborne system. Waypoint Inertial Explorer is used to extract the raw IPAS ABGNSS/IMU data, which is further processed in combination with controlled base stations to provide the final Smoothed Best Estimate Trajectory (SBET) for each mission. The SBETs are combined with the raw laser scan files to export the LiDAR ASCII Standard (*.las) formatted swath point clouds. 20200115 LiDAR Calibration Using a combination of GeoCue, TerraScan and TerraMatch; overlapping swath point clouds are corrected for any orientation or linear deviations to obtain the best fit swath-to-swath calibration. Relative calibration was evaluated using advanced plane-matching analysis and parameter corrections derived. This process was repeated interactively until residual errors between overlapping swaths, across all project missions, was reduced to ≤2cm. A final analysis of the calibrated lidar is preformed using a TerraMatch tie line report for an overall statistical model of the project area. Upon completion of the data calibration, a complete set of elevation difference intensity rasters (dZ Orthos) are produced. A user-defined color ramp is applied depicting the offsets between overlapping swaths based on project specifications. The dZ orthos provide an opportunity to review the data calibration in a qualitative manner. Atlantic assigns green to all offset values that fall below the required RMSDz requirement of the project. A yellow color is assigned for offsets that fall between the RMSDz value and 1.5x of that value. Finally, red values are assigned to all values that fall beyond 1.5x of the RMSDz requirements of the project. 20200115 LiDAR Classification Multiple automated filtering routines are applied to the calibrated LiDAR point cloud identifying and extracting bare-earth and above ground features. GeoCue, TerraScan, and TerraModeler software was used for the initial batch processing, visual inspection and any manual editing of the LiDAR point clouds. Atlantic utilized collected breakline data to preform classification for classes 9 (Water) and 20 (Ignored Ground). 1 Processed, but unclassified 2 Bare-earth ground 7 Low Noise 9 Water 17 Bridge Decks 18 High Noise 20 Ignored Ground (breakline proximity) 21 Snow (if present and identifiable) 22 Temporal exclusion 20200115 point NAD 1983 2011 UTM Zone 13N 0.9996 -105.0 0.0 500000.0 0.0 coordinate pair 0.000000002220024164500956 0.000000002220024164500956 meter D NAD 1983 2011 GRS 1980 6378137.0 298.257222101 NAVD88 1200 meter Explicit elevation coordinate included with horizontal coordinates All derived products for United States Geological Survey All derived products for United States Geological Survey United States Geological Survey Brent Marz Government Point of Contact mailing and physical

1400 Independence Road

Rolla Missouri client zip USA 573-308-3538 bmarz@usgs.gov No formal constraints although the present data set does belong to the United States Geological Survey The data represented is the result of data collection and processing per contract specifications and indicates the general existing conditions at the time of data collection. As such, it is only valid for its intended use, content, time, and accuracy specifications. The user is responsible for the results of any application of the data for other than its intended purpose. No formal constraints although the present data set does belong to the United States Geological Survey 20191127 Atlantic Benjamin Litter Project Manager mailing and physical

2223 Drake Ave. SW Suite 200

Huntsville AL 35805 USA 256.971.9991 256.971.1154 benjaminlitter@atlantic.tech FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998