Data Management Plan

Watershed Sciences, Inc. (WS) collected Light Detection and Ranging (LiDAR) data and

true-color orthophotographs of King County, WA from March 18 to March 20, 2010.

The total area of combined study areas orthophotographs and LiDAR, including a

100 m buffer, is approximately 21,038 acres.

Original contact information:

Contact Name: Dan Eastman

Contact Org: King County Dept. of Natural Resources and Parks

Title: Senior Ecologist

Phone: 206-263-6319

Process Steps:

• 2010-01-01 00:00:00 - Applications and Work Flow Overview: 1.Resolved kinematic corrections for aircraft position data using kinematic aircraft GPS and static ground GPS data. Software: Waypoint GPS v.8.10, Trimble Geomatics Office v.1.62 2.Developed a smoothed best estimate of trajectory (SBET) file that blends post-processed aircraft position with attitude data Sensor head position and attitude were calculated throughout the survey. The SBET data were used extensively for laser point processing. Software: IPAS v.1.35 3.Calculated laser point position by associating SBET position to each laser point return time, scan angle, intensity, etc. Created raw laser point cloud data for the entire survey in *.las (ASPRS v. 1.2) format. Software: ALS Post Processing Software v.2.7 4.Imported raw laser points into manageable blocks (less than 500 MB) to perform manual relative accuracy calibration and filter for pits/birds. Ground points were then classified for individual flight lines (to be used for relative accuracy testing and calibration). Software: TerraScan v.10.009 5.Using ground classified points per each flight line, the relative accuracy was tested. Automated line-to-line calibrations were then performed for system attitude parameters (pitch, roll, heading), mirror flex (scale) and GPS/IMU drift. Calibrations were performed on ground classified points from paired flight lines. Every flight line was used for relative accuracy calibration. Software: TerraMatch v.10.006 6.Position and attitude data were imported. Resulting data were classified as ground and non-ground points. Statistical absolute accuracy was assessed via direct comparisons of ground classified points to ground RTK survey data. Data were then converted to orthometric elevations (NAVD88) by applying a Geoid03 correction. Ground models were created as a triangulated surface and exported as ArcInfo ASCII grids at a 1 -meter pixel resolution. Software: TerraScan v.10.009, ArcMap v. 9.3.1, TerraModeler v.10.004 7.Converted raw images to tif format, calibrating raw image pixels for gain and exposure settings of each image. Software: Leica Calibration Post Processing v.1.0.4 8.Calculated photo position and orientation by associating the SBET position (Step 3) to each image capture time. Software: IPASCO v.1.3 9.Orthorectified calibrated tiffs utilizing photo orientation information (Step 8) and the LiDAR-derived ground surface (Step 6). Software: Leica Photogrammetry Suite v.9.2 10.To correct light imbalances between overlapping images, radiometric global tilting adjustments were applied to the rectified images. Software: OrthoVista v.4.4. 11.The color corrected images were then mosaicked together for the survey area and subset into tiles to make the file size more manageable. Software: OrthoVista v.4.4. 12.Mosaicked tiles were inspected for misalignments introduced by automatic seam generation. Misalignments were corrected by manual adjustments to seams. Software: Adobe Photoshop 7.0, OrthoVista v.4.4.
• 2012-08-13 00:00:00 - LiDAR data is processed using the GPS/INS solution. Data is classified to produce: Class 1: unclassified points Class 2: ground points Class 7: low point (noise)
• 2013-08-12 00:00:00 - The NOAA Office for Coastal Management (OCM) received the files in las format. The files contained lidar elevation and intensity measurements. The data were in GA State Plane coordinates and NAVD88 (orthometric) heights in feet. OCM performed the following processing for data storage and Digital Coast provisioning purposes: 1. The data were converted from WA State Plane North coordinates to geographic coordinates. 2. The data were converted from NAVD88 (orthometric) heights in feet to GRS80 (ellipsoid) heights in meters using Geoid 03. 3. The data were filtered to remove outliers. 4. The LAS data were sorted by latitude and the headers were updated.

This data can be obtained on-line at the following URL: https://coast.noaa.gov/dataviewer

The data set is dynamically generated based on user-specified parameters.

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