Quantum Spatial, Inc. 20170301 Raster digital data Product: These are Digital Elevation Model (DEM) data for parts of Blaine, Cassia, and Power Counties, Utah as part of the required deliverables for the 2016 Utah - Minidoka QL1 AOI Lidar project. Class 2 (ground) lidar points in conjunction with the hydro breaklines were used to create a 0.5-meter hydro-flattened raster DEM. Geographic Extent: Fourteen partial counties in Utah, covering approximately 7,005 total square kilometers; partial coverage of three counties covering approximately 182 square kilometers in the Minidoka QL1 AOI. This area is part of the Bear Lake / Cache Valley QL1 AOI. Dataset Description: The Utah 2016 Lidar project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.2. The data was developed based on a horizontal projection/datum of NAD83 (2011), UTM Zone 12, meters and vertical datum of NAVD88 (GEOID12B), meters. Lidar data was delivered as flightline-extent unclassified LAS swaths, as processed Classified LAS 1.4 files formatted to 215 individual 1,000 meter x 1,000 meter tiles; as tiled intensity imagery, as tiled bare earth DEMs, and as tiled first return DSMs all tiled a 2,000 meter x 2,000 meter schema (82 tiles). Continuous breaklines were produced in Esri shapefile format. Ground Conditions: Lidar was partially collected in fall of 2016, 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. established a total of 28 ground control points that were used to calibrate the lidar to known ground locations established throughout the project area. An additional 5 independent accuracy checkpoints, 5 in Bare Earth and Urban landcovers (5 NVA points), 6 in the Shrubs and Tall Grass category (6 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 and DSMs. The purpose of these lidar data was to produce high accuracy 3D hydro-flattened digital elevation models (DEMs) with a 0.5 meter cell size. These raw lidar point cloud data were used to create classified lidar LAS files, intensity images, 3D breaklines, hydro-flattened DEMs, and first return DSMs as necessary. Raster File Type = IMG Bit Depth/Pixel Type = 32-bit float Raster Cell Size = 0.5 Meters Interpolation or Resampling Technique = Triangulated Irregular Network (TIN), Linear Interpolation, Proprietary 20161023 ground condition Complete None planned -113.514517142334 -112.965015794335 42.7075128476455 42.583483416452 None Model Raster DEM Remote Sensing Elevation Data Lidar None Idaho Blaine County Cassia County Power County No restrictions apply to this 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. Data covers the entire area specified for this project. Datasets contain complete coverage of tiles. No points have been removed or excluded. A visual qualitative assessment was performed to ensure data completeness. There are no void areas or missing data. The raw point cloud is of good quality and data passes Non-Vegetated Vertical Accuracy specifications. The project specifications require the accuracy (ACCz) of the derived DEM be calculated and reported in two ways: 1. The required NVA is: 19.6 cm at a 95% confidence level, derived according to NSSDA, i.e., based on RMSE of 10 cm in the "bare earth" and "urban" land cover classes. This is a required accuracy. The NVA was tested with 5 checkpoints located in bare earth and urban (non-vegetated) areas. 2. Vegetated Vertical Accuracy (VVA): VVA shall be reported for "shrubs", and "tall grass" land cover classes. The target VVA is: 29.4 cm at the 95th percentile, derived according to ASPRS Guidelines, Vertical Accuracy Reporting for Lidar Data, i.e., based on the 95th percentile error in all vegetated land cover classes combined. This is a target accuracy. The VVA was tested with 6 checkpoints located in shrubs and tall grass (vegetated) areas. The checkpoints were distributed throughout the project area and were surveyed using GPS techniques. See survey report for additional survey methodologies. AccuracyZ has been tested to meet 19.6 cm or better Non-Vegetated Vertical Accuracy at 95% confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASRPS Guidelines. 0.036 Tested 0.036 meters NVA at a 95% confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA). The NVA of the DEM was calculated using independent checkpoints located in the Bare Earth and Urban land cover categories. 0.135 Tested 0.135 meters VVA was calculated using 6 checkpoints located in the Shrubs and Tall Grass land cover categories at the 95th percentile, derived according to ASPRS Guidelines, Vertical Accuracy Reporting for Lidar Data. Tested against the DEM. Hydro-Flattened Raster DEM Processing: Class 2 (Ground) lidar points in conjunction with the hydro breaklines were used to create a 0.5-meter hydro-flattened raster DEM. Using automated scripting routines within ArcMap, an ERDAS Imagine .IMG file was created for each tile. Each surface is reviewed using Global Mapper to check for any surface anomalies or incorrect elevations found within the surface. 2017 Raster Pixel 4000 4000 Universal Transverse Mercator 12 0.9996 -111.0 0.0 500000.0 0.0 coordinate pair 0.5 0.5 meters North American Datum of 1983 (2011) Geodetic Reference System 80 6378137.0 298.257222101 North American Vertical Datum of 1988 (GEOID12B) 0.01 meters Explicit elevation coordinate included with horizontal coordinates 20170301 Quantum Spatial mailing and physical

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