2017 WRCD USFS Lidar: Upper Wenatchee, WA

Geographic Extent: This data set is consisting of lidar point cloud, classified lidar, and digital elevation model, which all pieces encompasses the Washington Resource Conservation and Development Council (WRCD) 2017 Lidar area of interest (AOI), approximately 128 square miles or 318 square kilometers. Data set Description: This data set consists of lidar point cloud LAS swath files and tiled LAS files. Each LAS file contains lidar point information, which has been calibrated, controlled, and classified. Each file represents a separate swath of lidar. Lidar Base Specification 1.2

Ground Conditions: water at normal levels; no unusual inundation; no snow; leaf off

How the Withheld Points are Identified: Withheld (ignore) points were identified in the files using the standard LAS Withheld bit.

Class Code:1

Class Item:Unclassified

Class Code:2

Class Item:Ground

Class Code:7

Class Item:Low Noise

Class Code:18

Class Item:High Noise

The primary purpose of the lidar survey was to establish measurements of the bare earth surface, as well as top surface feature data for providing geometric inputs for modeling, other numerical modeling and economic related assessments.

All lidar data was acquired, calibrated, and used in the creation of lidar derived products by Atlantic.

Lidar tiles and associated derived products for WRCD

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.

Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners

Data is available online for bulk or custom downloads

None

Users should be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its limitations.

CloudPro 1.2.0 Build 85620; GeoCue Version 2014.1.21.5; LP360 v2015.1.76.18;TerraSlave v16.002; TerraScan v16.004; TerraModeler v16.002; Global Mapper v18.0.0; Windows 10 Operating System; ArcMap 10.3

\\hydra\Operations\2017\17080_WARCD_UpperWenatchee_Lidar\500_Final

184 GB

Horizontal error in lidar derived elevation data is largely a function of positional error as derived from the Global Navigation Satellite System (GNSS), attitude (angular orientation) error (as derived from the INS) and flying altitude; and can be estimated based on these parameters. Quantitative value: 40.0 cm, Test that produced the valued: As described in Section 7.5 of the ASPRS Positional Accuracy Standards for Digital Geospatial Data the horizontal errors in lidar data are largely a function of GNSS positional error, INS angular error, and flying altitude. Therefore, lidar data collected with GNSS error of 8cm and the IMU error of 0.00427 degrees at an altitude of 2,900m; the expected radial horizontal positional error will be RMSEr = 40.0cm.

Vertical Accuracy of the point cloud and bare-earth lidar data was assessed and reported in accordance with the ASPRS Positional Accuracy Standards for Digital Geospatial Data.

Twenty-Eight (28) surveyed points were measured for the purpose of assessing the accuracy of the lidar data. Required CVA: 29.4cm. Required FVA : 19.6cm.

Quantitative values: 14.5 cm (CFVA), 13.5 cm (CVA)

Test that produced the value: This data set was tested to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 10.0 (cm) RMSEz Vertical Accuracy Class. Actual FVA accuracy of the bare-earth was found to be +/- 14.5 cm at 95% confidence level. Actual CVA accuracy was found to be +/-13.5 cm at the 95th percentile.

The raw LAS data files included 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 Fundamental Vertical Accuracy 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.

All lidar data and lidar derived data covers the entire 128 square mile area of interest for the project. 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.

Data is backed up to tape and to cloud storage.