Quantum Spatial, Inc. 20181011 raster digital data Product: These are Highest Hit/Digital Surface Model (DSM) data for the WA 3 County LiDAR 2017 lidar project. Class 1 (default), class 2 (ground), class 9 (water), class 10 (ignored ground), and class 17 (bridge deck) lidar points were used to create a 3 foot highest hit raster DSM. Geographic Extent: This dataset and derived products encompass an area covering approximately 2,917 square miles of south eastern Washington. The full area is a mix of QL1 and QL2 lidar. Dataset Description: RAW flight line swaths were processed to create 9,312 classified LAS 1.4 files delineated in 3000 ft x 3000 ft tiles. Each LAS file contains LiDAR point information, which has been calibrated, controlled, and classified. In addition to highest hit DSMs, additional derived products include intensity images, hydro-flattened DEMs, and hydroflattened breaklines covering the study area. Ground Control Points were acquired and calibrated by Quantum Spatial, Inc. Data acquisition was coordinated by Quantum Spatial and all lidar data calibration, and follow-on processing were completed by Quantum Spatial Ground Conditions: Acquisition below aircraft free of smoke, fog and cloud cover. A small area with remaining snow on the ground was noticed in the data. The difference was only noticed due to the area being acquired at two different times. The high snow level was classified to class 21 and the overlapping mission acquired without snow on the ground was used for ground model creation. A shape of this area has been provided. The purpose of the lidar data was to produce a high accuracy 3D dataset that meets all necessary standards laid out by the 3DEP initiative. The raw lidar point cloud data were used to create classified lidar LAS files, intensity images, hydro-flattened DEMs, highest hit surface models, and 3D breaklines of rivers and lakes within the study area. Raster File Type = GRID Bit Depth/Pixel Type = 32-bit float Raster Cell Size = 3 Feet Interpolation or Re-sampling Technique = Triangulated Irregular Network Required Vertical Accuracy = 19.6 cm NVA 20171003 20180704 ground condition Complete None Planned -119.048030 -117.183731 46.732836 45.961812 2009394.211531 2472308.459371 513792.507063 246441.682612 none model LAS Point Cloud remote sensing Elevation data lidar High Hit none Washington 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. The specifications require that raw Non-vegetated Vertical Accuracy (NVA) be computed from the both the raw lidar point cloud swath files and the derived DEMs. Additionally, the Vegetated Vertical Accuracy (VVA) is computed from the derived DEMs. The NVA was tested with 85 independent check points located in open terrain, and distributed throughout the project as feasible, while VVA was tested with 79 independent check points located in a variety of vegetation classes distributed throughout the project area. These check points were not used in the calibration or post processing of the lidar point cloud data. Specifications for this project require that the NVA be 19.6 cm meters or better AccuracyZ at 95% confidence level and that the VVA be 29.4 cm or better AccuracyZ at the 95th percentile. 0.083 Tested 0.083 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 raw lidar point cloud files was calculated against TINs derived from the final calibrated and controlled data using 85 independent checkpoints located in Bare Earth and Urban land cover classes. 0.077 Tested 0.077 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 classified lidar point cloud files was calculated against rasters derived from the final calibrated, controlled, and classified data using 85 independent checkpoints located in Bare Earth and Urban land cover classes. 0.206 Tested 0.206 meters VVA at the 95th percentile as defined by the National Standards for Spatial Data Accuracy (NSSDA). The VVA of the classified lidar point cloud files was calculated against rasters derived from the final calibrated, controlled, and classified data using 85 independent checkpoints located in forest, shrub, and tall grass land cover classes. High Hit DEM creation: High Hit DSMs were created using the highest hit method from all valid return classes. Classified_LiDAR 20181011 High Hit DSM Raster Pixel 3000 3000 State Plane Coordinate System 1983 4602 45.83333333333334 -120.5 45.33333333333334 1640416.666666667 0.0 coordinate pair 3 3 US survey feet North American Datum of 1983 2011 Geodetic Reference System 80 6378137.0 298.257222101 North American Vertical Datum of 1988 Geoid12B 0.01 US survey feet Explicit elevation coordinate included with horizontal coordinates 20181011 Quantum Spatial, Inc. mailing and physical

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