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Available Video Footage
 Trollstigen1 Jul 2018
YouTube: adRsfMwpnQk★★☆☆☆
 Queen Valley (AZ)5 Apr 2018
YouTube: 4KeZ7Pzbd9U★★★★
 Suchá14 Oct 2017
YouTube: lnIUh2bPxu0★★★★★
 Crucea de Piatră3 Oct 2017
YouTube: P-iFx3VIiQ0★★★★★
 Crucea de Piatră14 Sep 2017
YouTube: mWvP3QG18v0★★★★
 Fort St. John (BC)3 Sep 2017
YouTube: d3ajks8OHCo★★★★★
 Weert25 May 2017
YouTube: h0s_P74oQD4★★★★
 Port Tabacco (MD)18 Mar 2017
YouTube: 2wII24qSpDw★★★★
 Volgograd (VGG)18 Mar 2017
YouTube: _p_inSwZcPQ★★★☆☆
 Charles Town (WV)Feb 2017
YouTube: JJpSYozvasc★★★★
 RugeleySummer 2016
YouTube: mgrI0MHZQQc★★★☆☆
 New York City (NY)Jul 2016
YouTube: QGKkhZE2Fk0★★☆☆☆
 Ayden (NC)16 Oct 2016
YouTube: 6BUA6zdbgEE★★★★
 Nueva Talcuna24 Mar 2016
YouTube: O9R1wMq0VOI★★☆☆☆
 Maryland Point (MD)12 Dec 2015
YouTube: 9P2A8m7RgnA★★★★★
 Sion13 Nov 2015
YouTube: dNrtU1z_5EQ★★★☆☆
 Westbury26 Sep 2015
YouTube: VjW_QyXtyHA★★★★★

 Westbury, 26 Sep 2015


 Abstract  The object comes into frame from the far distance, it seems to fly in a slight curve in some earlier frames, but approaches the drone along a strictly linear trajectory after this slight change of direction. The possible WFM might also change its altitude along this curve in the early frames. Despite cloud shadows in the direct area and a fast estimated speed, which is consistent with the objects visibility and trajectory, the smear effect in later frames is not as significant as in some other similar cases. This is due to the Sony Exmor R BSI camera sensor of the DJI Phantom 3 Advanced, which has a significantly lower effective shutter time than other sensors used in other DJI models. The originator's YouTube channel focuses on drone footage from the Wiltshire area. Crop circles and alleged sightings of balls of light occurred in this area, too. The originator was available for an interview; he stated a general disinterest in UFO related topics and that he did not know that others filmed similar phenomena with their drones.


Video Info
Source:YouTube.com/watch?v=VjW_QyXtyHA
User:Glyn Coy - Hidden Wiltshire 
Published:26 Sep 2015
Resolution:1080p
Frame rate:30fps
Drone model: DJI Phantom 3 Advanced
Files: archived original description and comments on YouTube
Content Info
Viewpoint*: 51.262274, -2.145664goo.gl/maps/kSQWwCF7BwK2
Time: 26 Sep 2015 15:17 (British Summer Time, UTC+01:00)
Weather: 17°C, 1028hPa, 52% humid., 13.0 km/h wind ENEmore 
Object Analysis Results
Appears in frames:1581 to 1627 (00:52:700 to 00:54:233 m:s:ms)
First/last appearance*:(51.2805, -2.159444)  /  (51.263306, -2.146194)
Object's direction:NW to SE
Passed distance:2.12km (45.11m per frame)
Traveling speed:4871.5km/hReview methodology for this estimate


Data Reliability and Quality

The originator's YouTube channel focuses on videos about the natural landscape in the Wiltshire area, which is west of London in England. Most of his videos are captured with a drone but some videos from a handheld camera are uploaded as well. Furthermore, he reveals his civil name and photographed images of some relatives. He does not upload videos regularly, but up to a fistful per month on average over the last three years. (June 2018) Similar to many other cases on whitefastmovers.org, his channel seems to be the hobby project of someone who likes to film videos, in particular with drones, and who likes to spend some time in the natural areas around his home.

His channel seems in no way specifically related to UFO focused media and the here mentioned video is the only one among the 41 (June 2018) that feature WFM related footage. These circumstances make me conclude that his capture of a possible WFM is very reliable. Nothing points to hoaxed or otherwise unreliable footage in any way. This includes also the frame-by-frame analysis of the footage itself.

The originator's YouTube channel (retrieved Sep 2018) mentions his website hiddenwiltshire.com (retrieved Sep 2018), where he uploads and discusses his photographic work. A live chat function is available to contact him. Mr Coy was online on the evening of 29th September 2018 and I interviewed him regarding his footage. He willingly answered all of my questions. I carefully chose my wording to not reveal what answer would suit my cause best. He stated that he used a DJI Phantom 3 Advanced for videoing the WFM footage. In further summary, Mr Coy is aware that the area I was flying in has been regarded as a ufo hotspot in the last 50 years, and the airspace close by is restricted for military use. Regarding my questions of allegedly witnessed white orbs (see introduction) in the area he answered that I've not seen anything before or since Or heard of anyone else picking one up. He also believes that crop circles are mostly hoax, they are a tourist industry and I think people like to keep the mystery going. Regarding his WFM footage he thought it was flying too fast to be seen with the naked eye. There were quite a few people around that day and no one saw anything. It was only on reviewing the video that I noticed it. After telling him about my intentions to collect WFM drone footage he wrote he didn't realize this was such a phenomenon - you say there are lots of video captures of these white objects? I am surprised at that. He stated that I put it [the video] up because I didn't know what it was, but I'm definitely not into the ufo alien stuff. His video is one of the earliest cases of uploaded WFM footage. His explanations about his intentions corroborate my impressions based on his YouTube presence. Due to his openness, his private website and his particular set of interests that due not include UFO related topics as a major part, he is a very reliable witness.

As figure 1 shows, a slight smear effect is visible. The smear is not as long as in some other cases with similar speed, but the effect in this case is completely consistent with other cases captured with a DJI Phantom 3 Advanced, Pro or 4K that all use a Sony Exmor R BSI camera sensor (e.g. 6BUA6zdbgEE, O9R1wMq0VOI ). These drones have a shorter effective shutter time than DJI Phantom 3s or DJI Mavics. See the chapter on methodologies of analysis for details.




Fig 1. Enlarged closeup view of the last 6 frames.

Linear Trajectory with a Slight Curve in Earlier Frames

Because the camera gimbal turns around the angle of view significantly, a stabilization is helpful to analyse the object's path of travel. The stabilization cannot provide a perfectly stable view, but it significantly improves the view for the path analysis. See figure 2 for a summary of the employed stabilization. Figure 3 shows the path analysis.


Fig 2. Comparison between unstabilized (left) and stabilized (right) footage with original frame rate (30fps). The industrial building's chimney in the center is the point of stabilization.

The object travels very fast towards the drone. However, between frame 1591 and 1600 the object seems to change its direction slightly and comes very close to the drone only due to this change of direction. After that the object seems to travel along a completely straight path; the slightly different impression given by the single locations of the possible WFM in figure 3 is caused by remaining angle changes of the view that could not be resolved by the application of the stabilization routine. Like in other cases (e.g. 2wII24qSpDw, JJpSYozvasc) the observed travel path indicates that the object aims for the drone's location specifically.

(click image for fullscreen view)
Fig 3. Analysis of WFM's trajectory on stabilized footage.

Speed Estimation

The speed (4871.5 km/h) can be estimated under the common assumption of a roughly constant altitude (see Analysis Methodologies). Figure 4 shows the estimation of the object's traveled distance.

Fig 4. Estimated WFM's distance traveled.

Weather Conditions

A nearby weather station (see figure A.1) recorded a calm and partly clouded day in autumn. Hail cannot be excluded but does not explain the object's travel behavior.

Appendix

Fig A.1. Distance between camera and nearest publicly available weather station at Cardiff Airport.


* Geographic coordinates are given as a vector of latitudes and longitudes in format WGS 84 as used by Google maps.

† The detailed point in time of the capture was stated by the originator of the footage.

 
 
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