Abstract:

This dataset contains unmanned aerial vehicle(UAV) data (both imagery and telemetry) collected during dye releases as part of the Surfzone Coastal Oil Pathways Experiment (SCOPE), on Okaloosa Island, Florida, for December 13 and 15, 2013. Two types of UAVs were deployed to determine if rotary wing UAVs can be used as observation platforms during the SCOPE field experiment. Code to process the telemetry data is also included. This dataset supports the publication: Brouwer, R. L., de Schipper, M. A., Rynne, P. F., Graham, F. J., Reniers, A. J. H. M., & MacMahan, J. H. (2015). Surfzone Monitoring Using Rotary Wing Unmanned Aerial Vehicles. Journal of Atmospheric and Oceanic Technology, 32(4), 855–863. doi:10.1175/jtech-d-14-00122.1

Suggested Citation:

Ad Reniers. 2019. Unmanned aerial vehicle images of Rhodamine WT dye releases as part of the Surfzone Coastal Oil Pathways Experiment (SCOPE), Okaloosa Island, Florida, 2013-12-13 to 2013-12-15. Distributed by: GRIIDC, Harte Research Institute, Texas A&M University–Corpus Christi. doi:10.7266/N7NS0RXF

Publications:

Brouwer, R. L., de Schipper, M. A., Rynne, P. F., Graham, F. J., Reniers, A. J. H. M., & MacMahan, J. H. (2015). Surfzone Monitoring Using Rotary Wing Unmanned Aerial Vehicles. Journal of Atmospheric and Oceanic Technology, 32(4), 855–863. doi:10.1175/jtech-d-14-00122.1

Purpose:

Determine if rotary wing UAVs can be used as observation platforms during the release of Rhodamine WT dye releases as part of the Surfzone Coastal Oil Pathways Experiment (SCOPE).

Data Parameters and Units:

Directory SCOPE_dye_dec13_2013: contains the raw images obtained by the UAVs for December 13, 2013. All images are obtained with a GoProHERO3+ Black Edition HHHD3.11.01.00 with a single AUV that is recharged in between image sequences. The first imaging sequence starts at 17:28:04 GMT (hours: minutes: seconds) with numbers 001-210 at 2-second intervals ending at 17:35:06. The second sequence starts at 17:38:52 with image numbers 211-333 at 2-second intervals ending at 17:42:56. The third sequence starts at 17:54:57 with image numbers 334-527 at 2-second intervals ending at 18:01:25. The fourth sequence starts at 18:17:25 with image numbers 528-769 at 2-second intervals ending at 18:25:35. The fifth sequence starts at 18:38:03 with image numbers 770-905 at 2-second intervals ending at 18:42:35; and the final sequence starts at 19:11:20 with image numbers 906-1200 at 2-second intervals ending at 91:21:18. Directory SCOPE_dye_rect_dec13_2013: contains the rectified images showing snapshots of the distribution of dye that has been released manually in the water. The image number and timestamps are the same used in the raw images. Directory UAV_LOG contains two subdirectories (UAV1 and UAV2): contain the position data for the two UAVs that have been used to calculate position errors as a function of the wind conditions. The MATLAB files to compute the errors have been included. The following type of files are found in these two subdirectories: Files: DDmon_flightX.mat, where X means flight number - Column 1: latitude (decimal degrees); Column 2: longitude (decimal degrees); Column 3: elevation (m); Column 4: voltage (.Volts); Column 5: orientation (degrees); Column 6: pitch angle (degrees); Column 7: roll angle (degrees); Column 8: time (s). Files: fX.mat, where X means flight number - alt: elevation (m); lat: latitude (divide by 10000000 to get decimal degrees); loiter time: (minutes); lon: longitude (divide by 10000000 decimal degrees); mean_alt: mean elevation (m); mean_power: mean wattage (Watts); power: (Volts); ans: first latitude point (divide by 10000000 to get decimal degrees). Files: Scope_wind_yyyy_mm_dd.mat - Spd10_1min: Wind speed at 10m above the surface at 30-second intervals (m/s); Spd5_1min: Wind speed at 5m above the surface at 30 second intervals (m/s); Time_1min: seconds; W10_1min: Vertical wind velocity at 10m above the surfac at 30 second intervals (m/s); W5_1min: Vertical wind velocity at 5m above the surface at 30 second intervals (m/s); Wdir5_1min: Wind direction at 5m above the surface at 30 second intervals (degrees); Wdir10_1min: Wind direction at 10m above the surface at 30 second intervals (degrees). Files: powerX.mat, where X means flight number - mean_alt: (m); mean_power: (Watts); mean_wind: (m/s). Files: fX_new.mat, where X means flight number - alt: elevation (m); lat: latitude (divide by 10000000 to get decimal degrees); loiter_time: minutes; lon: longitude (divide by 10000000 to get decimal degrees); power: power (Watts); vert_wind: vertical wind velocity (updraft or downdraft, m/s); winddir10: Wind direction at 10m above the surface (degrees w.r.t. N); winddir5: Wind direction at 5m above the surface (degrees w.r.t. N); windspeed10: Wind speed at 10m above the surface (m/s); windspeed5: Wind speed at 5m above the surface (m/s).

Methods:

The Aerialtronics Altura AT6 UAV was used to collect images of dye dispersion. To that end, the UAV was deployed for a duration of approximately 10 minutes taking images with a GoPro collected every 2 seconds. After 10 minutes the UAV would come back to the beach to replace the battery followed by another imaging sequence. This procedure was repeated for about two 2 hours to map the dye dispersion process. The directory scope_dye_dec13_2013 contains the raw images of the distribution of dye that has been released manually in the water obtained by the UAV for December 13 2013. A subset of the raw images in the directory scope_dye_dec13_2013 were rectified using a transformation matrix (see Hartley and Zisserman, 2003) based on a number of ground control points that are visible as blue tarps on the beach and pink boogie boards on the water. The subset of rectified images can be found in the directory scope_dye_rect_dec13_2013. The naming convention is IMG‌-0001.jpg where 0001 refers to the image sequence. These numbers in both directories correspond, i.e. IMG‌-0001.jpg in the one directory corresponds to the rectified image IMG‌-0001.jpg in the other directory and vice versa. Furthermore, to compare the loitering statistics the flight data obtained with 2 types of UAVs, viz. the Altura AT6 and the 3D Robotics Y6 is are given in the directory UAV_LOG. This, in turn, contains 2 subdirectories, UAV1 and UAV2 that contain the position data for the two UAVs as well as the wind data that have been used to calculate position errors as a function of the wind conditions. The Matlab files to compute the errors have been included.

Instruments:

Two types of commercial rotary wing UAVs: 1) The Aerialtronics Altura AT6, and 2) The 3D Robotics Y6 were used.

Provenance and Historical References:

Hartley, R., & Zisserman, A. (2003). Multiple view geometry in computer vision. 2nd ed. Cambridge University Press, 665 pp.

Individual Files: