Drogon, the Thermal-Sensing Drone: Exploring Aerial Imagery as a Tool for Citizen Science Research
Pages 213 - 217
Abstract
New developments in low-cost and widely accessible drones have the potential to radically transform the existing mechanisms for citizen science data collection, scientific analysis of the gathered information, and the broader impacts of drone-based projects on science activism. In this paper, we present Drogon, a thermal-sensing drone, which was used in an initial data gathering and co-design workshop with a group of conservation researchers, policy makers, and citizen scientist volunteers. Our findings reveal three concrete directions for future thermal drone-based citizen science projects. In addition, we reflect on higher-level design opportunities and challenges for working with drones in a citizen science context, including systems for expertise sharing amongst citizen scientists and platforms for collecting, analyzing and sharing drone-based data.
References
[1]
Audubon. Christmas Bird Count - Community Science in Action. Retrieved from https://www.audubon.org/conservation/science/christmas-bird-count
[2]
DiSalvo, Carl, and Tom Jenkins. 2017. Fruit Are Heavy: A Prototype Public IoT System to Support Urban Foraging. In Proceedings of the Conference on Designing Interactive Systems (DIS ?17), 541--553.
[3]
DiSalvo, Carl, Marti Louw, Julina Coupland, and MaryAnn Steiner. 2009. Local issues, local uses: tools for robotics and sensing in community contexts. In Proceedings of the conference on Creativity and cognition (C&C '09), 245--254.
[4]
Guler, Sibel Deren. 2013. Citizen drones: embedded crafts for remote sensing. In Proceedings of the 7th International Conference on Tangible, Embedded and Embodied Interaction (TEI '13), 349--350.
[5]
DJI. https://www.dji.com/matrice100
[6]
FLIR. http://www.flir.com/home/
[7]
Jan C. van Gemert, Camiel R. Verschoor, Pascal Mettes, Kitso Epema, Lian Pin Koh, and Serge Wich. 2014. Nature conservation drones for automatic localization and counting of animals." In Workshop at the European Conference on Computer Vision, 255--270.
[8]
Yong-Gu Han, Se-Hoon Jung, and Ohseok Kwon. 2017. How to utilize vegetation survey using drone image and image analysis software. Journal of Ecology and Environment, 41(1) (Dec 2017), 18.
[9]
Jarrod Hodgson, Aleks Terauds, and Lian Pin Koh. 2018. ?Epic Duck Challenge' shows drones can outdo people at surveying wildlife. Retrieved February 13, 2018 from https://theconversation.com/epic-duck-challenge-shows-drones-can-outdo-people-at-surveying-wildlife-90018?xid=PS_smithsonian
[10]
Phillips Robert, Sharon Baurley, and Sarah Silve. 2014. Citizen science and open design: Workshop findings. Design Issues, 30(4), 52--66.
[11]
Sonoran Preserve trailhead. Image. https://www.tripadvisor.com/LocationPhotoDirectLink-g31350-d2093386-i163755822-McDowell_Sonoran_Preserve-Scottsdale_Arizona.html
Index Terms
- Drogon, the Thermal-Sensing Drone: Exploring Aerial Imagery as a Tool for Citizen Science Research
Recommendations
The Mothership and Drone Routing Problem
The mothership and drone routing problem (MDRP) considers the routing of a two-vehicle tandem. The larger vehicle, which may be a ship or an airplane, is called the mothership; the smaller vehicle, which may be a small boat or unmanned aerial vehicle, is ...
DROP (DRone Open source Parser) your drone
The DJI Phantom III drone has already been used for malicious activities (to drop bombs, remote surveillance and plane watching) in 2016 and 2017. At the time of writing, DJI was the drone manufacturer with the largest market share. Our work presents ...
Security Analysis of Drone Communication Protocols
Engineering Secure Software and SystemsAbstractUnmanned aerial vehicles (UAV) are increasingly used by hobbyists, companies, and the public sector [1] for a number of purposes. Although this is good, UAVs bear the physical risks of aircrafts as well as those of unmanned systems. Taken into ...
Comments
Information & Contributors
Information
Published In
June 2019
410 pages
ISBN:9781450362702
DOI:10.1145/3301019
- General Chairs:
- Steve Harrison,
- Shaowen Bardzell,
- Program Chairs:
- Carman Neustaedter,
- Deborah Tatar
Copyright © 2019 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
Sponsors
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 18 June 2019
Check for updates
Author Tags
Qualifiers
- Work in progress
Funding Sources
- This work was supported by the Arizona State University Herberger Institute for Design and the Arts Research Council grant.
Conference
DIS '19
Sponsor:
Acceptance Rates
DIS '19 Companion Paper Acceptance Rate 105 of 415 submissions, 25%;
Overall Acceptance Rate 1,158 of 4,684 submissions, 25%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 166Total Downloads
- Downloads (Last 12 months)11
- Downloads (Last 6 weeks)3
Reflects downloads up to 17 Oct 2024
Other Metrics
Citations
View Options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in