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Transcript of Drones
DronesTechnology to extend conservation efforts
Elaine LumTechnology Profile ReportBAT 05, Miami University
February, 2015
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
Conservation applications of drones
• Map land changes due to deforestation
• Monitor illegal poaching
• Track movements of large animals
• Survey edge effects along wildlife corridors
(Koh & Wich, 2012)
Watch a TEDtalk about conservation drones in the next slide
Advantages of drones
• Does not require specialized knowledge or complex algorithms like traditional remote sensing techniques
(Flynn & Chapra, 2014)
• Much more affordable than using proprietary satellite products
Advantages of drones
(Flynn & Chapra, 2014; Koh & Wich, 2012)
• Able to gather information at low altitudes, therefore not affected by cloud cover
Advantages of drones
• Provides real-time data that can be accessed through mobile devices
(Saleem, Rehmani, & Zeadally, 2015)
Advantages of drones
• Unmanned sampling of remote areas cuts down on required manpower and manhours
Advantages of drones
(Flynn & Chapra, 2014; Koh & Wich, 2012)
Disadvantages of drones
• Having to share bandwidth with other wireless devices means insufficient spectrum bands (Saleem, Rehmani, & Zeadally, 2015)
• 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)
• Collisions with overhanging branches or other flying objects may occur and cause injury
(Tadjdeh, 2012)
Disadvantages of drones
• Parameters of sampling must comply with FAA regulations
(Flynn & Chapra, 2014; Tadjdeh, 2012)
Disadvantages of drones
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)
A specific application of drones in conservation
Problem: Invasive algal blooms negatively impact biodiversity
How can drones help scientists study this issue?
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)
• Cladophora provides shelter and nutrients to pathogens such as E. coli and Salmonellain 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)
Drone monitoring of Cladophora
• Multi-spectral sensors mounted on drones flew repeated missions to gather data on Cladophora
• 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)
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.
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