Week 13 Deliverables
As the construction went on and the burn plot was finished, this field outing was used to create a 3D model of the construction trailers, and vehicles, while collecting data to show differences in the south burn plot.
Similar to the field outing in the prior week, the flight
took place at PWA over the construction, south burn plot, and the salamander
tanks. The data will be used for comparison in a later field outing, similarly
to the first field outing. The metadata is posted below from the flight that
was performed.
General |
|
LOCATION |
PURDUE
WILDLIFE AREA |
dATE |
041221 |
VEHICLE |
MAVIC 2 PRO |
SENSOR |
N/A |
BATTERY |
2 |
fLIGHT INFORMATION |
|
FLIGHT NUMBER |
1 |
tAKEOFF TIME |
14:34 EST |
LANDING TIME |
14:41 |
ALTITUDE (M) |
121.92 |
SENSOR ANGLE |
60 DEGREES |
oVERLAP |
80% |
SIDELAP |
80% |
GEOLOCATING |
|
SYSTEM USED (GCP TYPE/PPk) |
GCP TYPE |
COORDINATE SYSTEM |
WGS 1984 UTM ZONE 6 |
wEATHER |
|
METAR USED |
KLAF |
cREW |
|
pIC |
MATT WATSON |
VO |
BRYAN
JACOBS |
SUBMITTER |
MATT WATSON |
Notes:
- Wind: 14 knots, gusting 25 knots
- There were not any issues with the UAV or the environment we worked in
The 60-degree angle was used to help generate 3D models
of the vehicles and trailers since it allows the data to collect the sides of
those vehicles and trailers, creating a higher quality 3D mesh of them. After
using Pix4DMapper, the point cloud that was generated is shown in Figure 1.
As it can be seen, the images in reference to where they
are taken show they were taken at that 60-degree angle. When the flight plan
was created on Measure Ground Control, the camera and gimbal were initialized
to not keep a set direction when collecting, which is shown from the image
above. To better prove the effectiveness of the 3D mesh and the camera angle, a
few images from the data are shown below in Figure 2, Figure 3, and Figure 4.
The 3D models of the bulldozer, construction trailers,
and the salamander tanks are not the highest of resolutions, but it still
serves the purpose of creating that model and being able to identify the
object. In future field outings, to increase the resolution and quality of the
data, multiple flights that are perpendicular to the original flight can be
executed to ensure that all sides of the object are included. The quality
report from this processing is linked here. After data
processing the 3D model, orthomosaic, and DSM, ArcGIS Pro was used to create
maps for this week’s field outing. The maps generated are shown in Figure 5 and Figure 6.
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