Quantum Spatial, Inc. 20200116 Raster digital data Product: Northwestern New Mexico LiDAR Intensity Imagery. Geographic Extent: 7 counties in New Mexico, covering approximately 8782 total square miles. Dataset Description: The Northwestern New Mexico LiDAR project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.71 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 1.3. The data were developed based on a horizontal projection/datum of NAD 1983 2011 UTM Zone 12N, Meter and vertical datum of NAVD88 GEOID 12B, Meter. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to 15177 individual 1500 m x 1500 m tiles, as tiled intensity imagery, and as tiled bare earth DEMs; all tiled to the same 1500 m x 1500 m schema. Continuous breaklines were produced in Esri file geodatabase format. Ground Conditions: LiDAR was collected in fall 2018, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Quantum Spatial, Inc. utilized a total of 200 ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area. An additional 305 independent accuracy checkpoints, 173 in Bare Earth and Urban landcovers (173 NVA points), 132 in Tall Weeds categories (132 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data. To acquire detailed surface elevation data for use in conservation planning, design, research, floodplain mapping, dam safety assessments and elevation modeling, etc. Classified LAS files are used to show the manually reviewed bare earth surface. This allows the user to create intensity images, breaklines and raster DEMs. The purpose of these LiDAR data was to produce high accuracy 3D hydro-flattened digital elevation models (DEMs) with a 1 meter cell size. These raw LiDAR point cloud data were used to create classified LiDAR LAS files, intensity images, 3D breaklines, and hydro-flattened DEMs as necessary. Raster File Type = GeoTIFF; Bit Depth/Pixel Type = 8-bit, 256 color gray scale; Raster Cell Size = 1 meter; Intensity Values Normalized To = 16-bit, linear re-scaling 20181114 20181128 Ground condition Complete None planned -109.681526442 -107.921250502 37.0242851958 34.5832890803 620880.78492 774000.0 4098429.72702 3830889.30868 None Intensity Images Elevation Data Lidar None New Mexico Apache County Cibola County La Plata County McKinley County Montezuma County San Juan County 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 their limitations. Acknowledgement of the organization providing these data to the public would be appreciated for products derived from these data. Data cover the entire area specified for this project. A visual qualitative assessment was performed to ensure data completeness. No void areas or missing data exist. Intensity Image Generation Processing: GeoCue software was used to create the deliverable intensity images. All overlap classes were ignored during this process. This helps to ensure a more aesthetically pleasing image. The GeoCue software was then used to verify full project coverage as well. GeoTIFF files were then provided as the deliverable for this dataset requirement. 2020 Raster Pixel 1500 1500 Universal Transverse Mercator 12 0.9996 -111 0.0 500000 0.0 coordinate pair 1.0 1.0 Meter D NAD 1983 2011 Geodetic Reference System 80 6378137.0 298.257222101 NAVD88 GEOID 12B 0.001 Meter Explicit elevation coordinate included with horizontal coordinates 20200116 Quantum Spatial, Inc. mailing and physical

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