Using unmanned aerial vehicles to sample aquatic ecosystems. (10th December 2017)
- Record Type:
- Journal Article
- Title:
- Using unmanned aerial vehicles to sample aquatic ecosystems. (10th December 2017)
- Main Title:
- Using unmanned aerial vehicles to sample aquatic ecosystems
- Authors:
- Song, Keunyea
Brewer, Austin
Ahmadian, Shawyan
Shankar, Ajay
Detweiler, Carrick
Burgin, Amy J. - Abstract:
- Abstract: In limnology, aquatic samplings are labor‐intensive, and research locations can be hindered by limited accessibility. As lightweight unmanned aerial vehicles (UAVs) can provide enhanced spatial and temporal resolutions of ecological data as well as better accessibility to study areas, we questioned the potential of UAVs as an alternative limnologist's tool to overcome the limitations of current limnologic sampling techniques. In this study, we compared the reliability and effectiveness of UAV‐based in situ readings (i.e., temperature and conductivity) and water sampling with two conventional methods (i.e., manual reading using a hand‐held device and grab sampling and sensor reading). We found that UAV‐based in situ readings better represented the spatial and temporal variations of thermal and chemical distributions in water bodies compared to manual and sensor readings. High data density within a relatively short‐sampling time demonstrate the effectiveness UAV‐based in situ readings. Additionally, UAV enhanced reliability of data by minimizing connection with water (e.g., boat movement). Unlike outstanding performance of UAV for in situ readings, however, UAV collected water samples appeared to be less representative of water chemistry compared to manually collected samples. This is likely due to small water sampling volume (25 mL) of UAV compared to over 1 L of water collection by manual sampling. This study confirms that UAVs hold high potential to improve ourAbstract: In limnology, aquatic samplings are labor‐intensive, and research locations can be hindered by limited accessibility. As lightweight unmanned aerial vehicles (UAVs) can provide enhanced spatial and temporal resolutions of ecological data as well as better accessibility to study areas, we questioned the potential of UAVs as an alternative limnologist's tool to overcome the limitations of current limnologic sampling techniques. In this study, we compared the reliability and effectiveness of UAV‐based in situ readings (i.e., temperature and conductivity) and water sampling with two conventional methods (i.e., manual reading using a hand‐held device and grab sampling and sensor reading). We found that UAV‐based in situ readings better represented the spatial and temporal variations of thermal and chemical distributions in water bodies compared to manual and sensor readings. High data density within a relatively short‐sampling time demonstrate the effectiveness UAV‐based in situ readings. Additionally, UAV enhanced reliability of data by minimizing connection with water (e.g., boat movement). Unlike outstanding performance of UAV for in situ readings, however, UAV collected water samples appeared to be less representative of water chemistry compared to manually collected samples. This is likely due to small water sampling volume (25 mL) of UAV compared to over 1 L of water collection by manual sampling. This study confirms that UAVs hold high potential to improve our ability to collect reliable and fine scale in situ data, but carrying capacity of UAVs needs to be improved to be fully integrated into a limnological study. … (more)
- Is Part Of:
- Limnology and oceanography, methods. Volume 15:Number 12(2017:Dec.)
- Journal:
- Limnology and oceanography, methods
- Issue:
- Volume 15:Number 12(2017:Dec.)
- Issue Display:
- Volume 15, Issue 12 (2017)
- Year:
- 2017
- Volume:
- 15
- Issue:
- 12
- Issue Sort Value:
- 2017-0015-0012-0000
- Page Start:
- 1021
- Page End:
- 1030
- Publication Date:
- 2017-12-10
- Subjects:
- Limnology -- Methodology -- Periodicals
Oceanography -- Methodology -- Periodicals
551.48 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1541-5856 ↗
http://www.aslo.org/lomethods ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/lom3.10222 ↗
- Languages:
- English
- ISSNs:
- 1541-5856
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 5565.xml