1. Drones
Technology to extend conservation efforts
Elaine Lum
Technology Profile Report
BAT 05, Miami University
February, 2015
2. What are drones?
• Also known as
unmanned aerial
vehicles
• Remotely controlled
from the ground
• Uses a camera or
spectral imaging device
mounted on the vehicle
• Used for gathering
images in its flight path
See one in action in the next slide
4. • Track movements
of large animals
• Survey edge effects
along wildlife
corridors
(Koh & Wich, 2012)
Watch a TEDtalk about conservation drones in the next slide
5. Advantages of drones
• Does not require
specialized
knowledge or
complex algorithms
like traditional
remote sensing
techniques
(Flynn & Chapra, 2014)
6. • Much more affordable
than using proprietary
satellite products
Advantages of drones
(Flynn & Chapra, 2014; Koh & Wich, 2012)
7. • Able to gather
information at low
altitudes, therefore not
affected by cloud cover
Advantages of drones
8. • Provides real-time
data that can be
accessed through
mobile devices
(Saleem, Rehmani, & Zeadally, 2015)
Advantages of drones
9. • Unmanned
sampling of
remote areas
cuts down on
required
manpower
and manhours
Advantages of drones
(Flynn & Chapra, 2014; Koh & Wich, 2012)
10. Disadvantages of drones
• Having to share bandwidth
with other wireless devices
means insufficient spectrum
bands (Saleem, Rehmani, & Zeadally, 2015)
11. • Light reflection over water
surface can interfere with
images in aquatic sampling
(Flynn & Chapra, 2014;
Kwon, Yoder, Baek, Gruber, & Pack, 2014)
Disadvantages of drones
(Flynn & Chapra, 2014; Koh & Wich, 2012)
12. • Collisions with
overhanging branches
or other flying objects
may occur and cause
injury
(Tadjdeh, 2012)
Disadvantages of drones
13. • Noise of drone’s
motor may
disturb wildlife
(Flynn & Chapra, 2014)
Disadvantages of drones
15. • Parameters
of sampling
must comply
with FAA
regulations
(Flynn & Chapra, 2014;
Tadjdeh, 2012)
Disadvantages of drones
16. FAA regulations for drones
• Operator must maintain visual contact with
the drone
• Flight path must avoid noise-sensitive areas
• Drones must fly under 122 m. altitude
• Flight control personnel must be notified if
drones are within 4.8 km of an airport
(Flynn & Chapra, 2014)
17. A specific application of drones in
conservation
Problem: Invasive algal blooms negatively
impact biodiversity
How can drones help scientists study this issue?
18. Cladophora: an ecological issue
• Cladophora is a green
filamentous alga that is
an invasive species in
many aquatic systems
• Thick mats of
Cladophora impact
fauna and flora by
blocking out light and
competing for
resources
(Flynn & Chapra, 2014)
19. • Cladophora provides
shelter and nutrients
to pathogens such as
E. coli and Salmonella
in the water, causing
human disease
• Avian botulism is
associated with algal
blooms of Cladophora
Cladophora: an ecological issue
(Lan Chun et al., 2015; Verhougstraete,
Rose, Byappanahalli, & Whitman, 2010)
20. Drone monitoring of Cladophora
• Multi-spectral
sensors
mounted on
drones flew
repeated
missions to
gather data on
Cladophora
21. • Data collected on
growth cycle and
biomass distribution
of Cladophora will
help scientists
predict and control
its spread
• Historical changes of
biomass patterns
can be chronicled
over time by building
an image data base
for future research
Drone monitoring
of Cladophora
(Flynn & Chapra, 2014)
22. Comparing satellite and drone generated maps of Cladophora biomass
Satellite generated map
(Brooks, Grimm, Shuchman, Sayers, &
Jessee, 2015)
Drone generated map
(Flynn & Chapra, 2014)
Which do you think provides more useful information?
Share your thoughts in the Slideshare comments section.
23. References
Brooks, C., Grimm, A., Shuchman, R., Sayers, M., & Jessee, N. (2015). A satellite-based multi-
temporal assessment of the extent of nuisance Cladophora and related submerged aquatic
vegetation for the Laurentian Great Lakes. Remote Sensing of Environment, 157, 58-71. doi:
10.1016/j.rse.2014.04.032
Flynn, K. F., & Chapra, S. C. (2014). Remote Sensing of Submerged Aquatic Vegetation in a Shallow
Non-Turbid River Using an Unmanned Aerial Vehicle. Remote Sensing, 6(12), 12815-12836.
doi: 10.3390/rs61212815
Koh, L. P., & Wich, S. A. (2012). Dawn of drone ecology: low-cost autonomous aerial vehicles for
conservation. Tropical Conservation Science, 5(2), 121-132.
Kwon, H., Yoder, J., Baek, S., Gruber, S., & Pack, D. (2014). Maximizing Water Surface Target
Localization Accuracy Under Sunlight Reflection with an Autonomous Unmanned Aerial
Vehicle. Journal of Intelligent & Robotic Systems, 74(1-2), 395-411.
Lan Chun, C., Kahn, C. I., Borchert, A. J., Byappanahalli, M. N., Whitman, R. L., Peller, J., . . .
Sadowsky, M. J. (2015). Prevalence of toxin-producing Clostridium botulinum associated
with the macroalga Cladophora in three Great Lakes: Growth and management. Science of
the Total Environment, 511, 523-529. doi: 10.1016/j.scitotenv.2014.12.080
Saleem, Y., Rehmani, M. H., & Zeadally, S. (2015). Review: Integration of Cognitive Radio
Technology with unmanned aerial vehicles: Issues, opportunities, and future research
challenges. Journal of Network and Computer Applications, 50, 15-31. doi:
10.1016/j.jnca.2014.12.002
Verhougstraete, M. P., Rose, J. B., Byappanahalli, M. N., & Whitman, R. L. (2010). Cladophora in
the Great Lakes: impacts on beach water quality and human health. Water Science &
Technology, 62(1), 68-76. doi: 10.2166/wst.2010.230