Topographic point cloud for the intertidal zone at Puget Creek and Dickman Mill Park, Tacoma, WA, 2019-06-03

Aerial imagery was collected using a Department of Interior-owned 3DR Solo quadcopter fitted with a Ricoh GR II digital camera featuring a global shutter. The camera was mounted using a fixed mount on the bottom of the UAS and oriented in an approximately nadir orientation. The UAS was flown on pre-programmed autonomous flight lines at an approximate altitude of 50 meters above ground level (AGL). The flight lines were oriented roughly shore-parallel and were spaced to provide approximately 70 percent overlap between images from adjacent lines. After the flight lines were completed some additional imagery was collected in manual flight mode to fill in additional areas and to collect redundant imagery with the camera sensor at different orientations to improve lens-model reconstruction. The camera was triggered at 1 Hz using a built-in intervalometer and was programmed to simultaneously acquire imagery in both JPG and camera raw (Adobe DNG) formats. Flight F01 covered the Puget Creek area and was conducted on 2019-06-03 between 18:43 and 18:54 Universal Coordinated Time (UTC) (11:43 and 11:54 Pacific Daylight Time (PDT)). Flight F02 covered the Dickman Mill Park area and was conducted on 2019-06-03 between 19:24 and 19:37 Universal Coordinated Time (UTC) (12:24 and 12:37 Pacific Daylight Time (PDT)). Before each flight, the camera's digital ISO, aperture and shutter speed were manually set to adjust for ambient light conditions. Although these settings were changed between flights, they were not permitted to change during a flight; thus, the images from each flight were acquired with consistent camera settings.

Ground control was established using ground control points (GCPs) consisting of small square tarps with black-and-white cross patterns and temporary chalk 'X' marks placed on the ground surface throughout the survey area. The GCP positions were measured using survey-grade GPS receivers operating in post-processed-kinematic (PPK) mode. The GPS receivers were placed on short fixed-height tripods and set to occupy each GCP for a minimum occupation time of one minute. The PPK corrections were referenced to a Continuously Operating Reference (CORS) GPS base station ('TACO') located approximately 5 kilometers from the study area operated by the Washington State Reference Network (WSRN).

The image files were renamed using a custom python script. The file names were formed using the following pattern Fx-YYYYMMDDThhmmssZ_Ryz.*, where: - Fx = Flight number - YYYYMMDDThhmmssZ = date and time in the ISO 8601 standard, where 'T' separates the date from the time, and 'Z' denotes UTC ('Zulu') time. - Ry = RA or RB to distinguish camera 'RicohA' from 'RicohB' - z = original image name assigned by camera during acquisition - * = file extension (JPG or DNG)
The approximate image acquisition coordinates were added to the image metadata (EXIF) ('geotagged') using the image timestamp and the telemetry logs from the UAS onboard single-frequency 1-Hz autonomous GPS. The geotagging process was done using a custom Python script which processes the GPS data from the UAS telemetry log and calls the command-line 'exiftool' software. To improve timestamp accuracy, the image acquisition times were adjusted to true ('corrected') UTC time by comparing the image timestamps with several images taken of a smartphone app ('Emerald Time') showing accurate time from Network Time Protocol (NTP) servers. For this survey, +00:00:02 (2 seconds) were added to the image timestamp to synchronize with corrected UTC time. The positions stored in the EXIF are in geographic coordinates referenced to the WGS84(G1150) coordinate reference system (EPSG:7660), with elevation in meters relative to the WGS84 ellipsoid.
Additional information was added to the EXIF using the command-line 'exiftool' software with the following command: exiftool ^ -P ^ -Copyright="Public Domain. Please credit U.S. Geological Survey." ^ -CopyrightNotice="Public Domain. Please credit U.S. Geological Survey." ^ -ImageDescription="Low-altitude aerial image of the intertidal zone at Puget Creek and Dickman Mill Park, Ruston Way, Tacoma, Washington, USA, from USGS survey 2019-623-FA" ^ -Caption-Abstract="Intertidal zone at Puget Creek and Dickman Mill Park, Ruston Way, Tacoma, Washington, USA, from USGS survey 2019-623-FA" ^ -Caption="Aerial image of the intertidal zone at Puget Creek and Dickman Mill Park, Ruston Way, Tacoma, Washington, USA, from USGS survey 2019-623-FA" ^ -sep ", " ^ -keywords="Marine Nearshore Intertidal, Puget Sound, Puget Creek, Dickman Mill Park, Ruston Way, Tacoma, Washington, 2019-623-FA, Unmanned Aircraft System, UAS, drone, aerial imagery, U.S. Geological Survey, USGS, Pacific Coastal and Marine Science Center" ^ -comment="Low-altitude aerial image from USGS Unmanned Aircraft System (UAS) survey 2019-623-FA" ^ -Credit="U.S. Geological Survey" ^ -Contact="pcmsc_data@usgs.gov" ^ -Artist="U.S. Geological Survey, Pacific Coastal and Marine Science Center"

Structure-from-motion (SfM) processing techniques were used to create two point clouds in the Agisoft Photoscan/Metashape software package using the following workflow: 1. Initial image alignment was performed with the following parameters - Accuracy: 'high'; Pair selection: 'reference', 'generic'; Key point limit: 0 (unlimited); Tie point limit: 0 (unlimited). 2. Sparse point cloud error reduction was performed using an iterative gradual selection and camera optimization process with the following parameters: Reconstruction Uncertainty: 10; Projection Accuracy: 3. Lens calibration parameters f, cx, cy, k1, k2, k3, p1, and p2 were included in the optimization. Additional sparse points obviously above or below the true surface were manually deleted after the last error reduction iteration. 3. Ground control points (GCPs) were automatically detected using the 'Cross (non-coded)' option. False matches were manually removed, and all markers were visually checked and manually placed or adjusted if needed. Markers were manually placed for GCPs that consisted of chalk 'X' marks. 4. Additional sparse point cloud error reduction was performed using an iterative gradual selection and camera optimization process with the following parameters: Reconstruction Error: 0.3. Lens calibration parameters f, cx, cy, k1, k2, k3, p1, and p2 were initially included in the optimization, but additional parameters k4, b1, b2, p3, and p4 were included once Reconstruction Error was reduced below 1 pixel. Additional sparse points obviously above or below the true surface were manually deleted after the last error reduction iteration, and a final optimization was performed. 5. A dense point cloud was created using the 'high' accuracy setting, with 'aggressive' depth filtering. 6. A Digital Surface Model (DSM) with a native resolution of 2.42 centimeters per pixel was created using all points in the dense point cloud. 7. An RGB orthomosaic with a native resolution of 1.24 centimeters per pixel was created using the DSM as the orthorectification surface. 8. A water boundary polygon was digitized using the orthomosaic as a reference and exported as a shapefile. 9. The point cloud was exported in LAZ format. 10. LAStools 'lasclip' was used to set the classification of all points falling within the horizontal bounds of the water clipping mask shapefile as Class 9 ('water').