1. FOV For a rough analysis, we estimated some conservative parameters:
Flight Time (fully loaded) – 10 minutes
Velocity (fully loaded) – 4m/s
Stop/Go Time per Capture – 2s
Capture Overlap – 10%
The effective Field of View (FOV) for the multispectral sensor at 120m is approximately 4424 square meters per capture. At this height we expect about 6.6cm resolution.
120m
FOV
66.4m
74.1m
The analysis shows that we can expect to capture just under 30 images per flight, yielding about 1 tenth of a square kilometer (10 hectares) on a single flight
Notes:
1) Presence of wind during capturing would affect flight time negatively. This will be accounted for in later analyses.
2) The drone will need to have some battery life remaining in order to return to the launch point.

2. FOV Parameters Flight Time (fully loaded) – 20 minutes
Velocity (fully loaded) – 4m/s
Stop/Go Time per Capture – 2s
Capture Overlap – 85%
The effective Field of View for the Tetracam during 3D capture is much smaller, due to the required 85% overlap for post-processing. At 120m the effective FOV is square meters, without any loss in resolution.
120m
FOV
33.2m
41.2m
The UAV will still capture 30 images per flight, should yield about 2.05 hectares of 3D data on a single flight.
Notes:
1) Presence of wind during capturing would affect flight time negatively. This will be accounted for in later analyses.
2) The drone will need to have some battery life remaining in order to return to the launch point.

3. The Stop/Go parameter is ignored in this analysis
The Stop/Go parameter is ignored in this analysis. Since the thermal sensor captures video constantly, there is no need for the drone to stop for capture.
Flight Time (fully loaded) – 10 minutes
Velocity (fully loaded) – 4m/s
Capture Overlap – 10%
The analysis is altered only slightly for flight with the thermal camera.
The effective Field of View for the thermal sensor at 40m is approximately square meters per capture. At this height we expect about 7cm resolution.
40m
FOV
19.3m
27.6m
The thermal sensor can cover an estimated square kilometers (4.6 hectares) on a single flight, or about half the area that the thermal sensor can capture.
Additional Notes:
1) The thermal sensor is about 80% lighter than the tetra cam, and may significantly increase flight time

4. Flight Time Feasibility
Expected Payload
[kg]
Gimbal and Damper
1.5
Sensors and Hardware
0.6
Battery 3
Total
5.1
*estimated flight time data courtesy of DJI

5. Gimbal Prototype Plastic Vs. Carbon Fiber Grouse House Technologies
Offers CF 3-axis gimbal for $
Short lead time
DIY Gimbal
In design phase
3D printed plastic will cost $20-40

6. Gimbal Concepts: 3D Printed
Sensors held simultaneously for CoG balancing
Negligible gain in flight time from modular option
Ease of use for customer

7. Gimbal Concepts: 3D Printed
Deciding between 2 or 3 axis designs
2 axis gimbal adequate for our purposes
3 axis more expensive, but may improve battery life