Data Management Plan

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

Process Steps:

• 2017-10-15 00:00:00 - Aerial Lidar Acquisition: Aerial data collection was acquired in five (5) flight missions, using the ALS70 SN#7123/7225 at an altitude of 2900 meters AGL. Airborne GPS and IMU data was collected during the acquisition. Data acquisition was completed on October 15, 2017.
• 2017-10-15 00:00:00 - Lidar Pre-processing: Airborne GPS and IMU data were merged to develop a Smoothed Best Estimate Trajectory (SBET) of the lidar system for each lift. Lidar ranging data were initially calibrated using previous best parameters for this instrument and aircraft. 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 lifts, was reduced to 2 cm or less. Data were then block adjusted to match surveyed calibration control. Raw data NVA were checked using independently surveyed check points. Swath overage points were identified and tagged within each swath file
• 2017-10-16 00:00:00 - Initial processing of the GPS data was processed using Inertial Explorer. The solution file was generated and CloudPro software was used to generate georeferenced laser returns which were then processed in strip form allowing for the QC of the overlap between strips (lines). The data from each line were combined and automated classification routines run to determine the initial surface model. This initial surface model was then verified to the surveyed test points.
• 2017-10-30 00:00:00 - Lidar Post-Processing: The calibrated and controlled lidar swaths were processed using automatic point classification routines in TerraSolid software. These routines operate against the entire collection (all swaths, all lifts), eliminating character differences between files. Data were then distributed as virtual tiles to experienced Lidar analysts for localized automatic classification, manual editing, and peer-based QC checks. Supervisory QC monitoring of work in progress and completed editing ensured consistency of classification character and adherence to project requirements across the entire project. All classification tags are stored in the original swath files. After completion of classification and final QC approval, the NVA and VVA for the project are calculated. Sample areas for each land cover type present in the project were extracted and forwarded to the client, along with the results of the accuracy tests. Upon acceptance, the complete classified Lidar swath files were delivered to the client.
• 2017-12-15 00:00:00 - Lidar Classification: The calibrated Lidar data was run through automated classification routines and then manually checked and edited. The data was classified into the following classes: 1-unclassified*, 2-ground, 7-low noise and 18-high noise
• 2023-04-28 00:00:00 - Classified lidar data was received by NOAA Office for Coastal Management from the U.S. Forest Service in Albers USFS region 6 projection (EPSG:9674) meters with vertical values in NAVD88 (Geoid12B) meters. For ingest into the Digital Coast Data Access Viewer, data were transformed to geographic coordinates (NAD83(2011)) and ellipsoid heights. Individual files were reorganized into the COPC varient of LAZ format to support streaming operations. (Citation: Classified lidar points)

Data is available online for bulk or custom downloads

Data is backed up to tape and to cloud storage.