Development perspectives for the application of autonomous, unmanned aerial systems (UASs) in wildlife conservation. (January 2020)
- Record Type:
- Journal Article
- Title:
- Development perspectives for the application of autonomous, unmanned aerial systems (UASs) in wildlife conservation. (January 2020)
- Main Title:
- Development perspectives for the application of autonomous, unmanned aerial systems (UASs) in wildlife conservation
- Authors:
- Fust, Pascal
Loos, Jacqueline - Abstract:
- Abstract: Conservation management requires reliable and up-to-date data on land use, wildlife population sizes and resource distribution across highly variable ecosystems. Simultaneously, limited funding in conservation often restrict the assessment and interpretation of these datasets. Unmanned aerial systems (UASs) appear as promising and cost-efficient tools to deliver high-quality data, especially when combined with advanced sensor technologies, e.g. based on specific light features such as spectral signature, short-wave infrared (SWIR) reflection and/or polarization. However, their application rates for conservation purposes remain low, partly because of current technology's inaptitude to extrapolate findings onto large spatial scales due to limited flight ranges of the vehicles and difficulties in animal detection and identification. Particularly, using SWIR cameras and polarization filters combined with thermal cameras may improve animal detection, but only few tests have so far investigated the reliability of these technologies. The analysis of large datasets e.g. from hyperspectral cameras requires skills and time, whereas most interest lies in the results of these surveys. Additionally, legal constraints and high initial investment costs confront their application. Overcoming these challenges requires advancing technological robustness of the tool as well as defining the applicability of unmanned aerial vehicles (UAVs) within conservation management. Moreover, itsAbstract: Conservation management requires reliable and up-to-date data on land use, wildlife population sizes and resource distribution across highly variable ecosystems. Simultaneously, limited funding in conservation often restrict the assessment and interpretation of these datasets. Unmanned aerial systems (UASs) appear as promising and cost-efficient tools to deliver high-quality data, especially when combined with advanced sensor technologies, e.g. based on specific light features such as spectral signature, short-wave infrared (SWIR) reflection and/or polarization. However, their application rates for conservation purposes remain low, partly because of current technology's inaptitude to extrapolate findings onto large spatial scales due to limited flight ranges of the vehicles and difficulties in animal detection and identification. Particularly, using SWIR cameras and polarization filters combined with thermal cameras may improve animal detection, but only few tests have so far investigated the reliability of these technologies. The analysis of large datasets e.g. from hyperspectral cameras requires skills and time, whereas most interest lies in the results of these surveys. Additionally, legal constraints and high initial investment costs confront their application. Overcoming these challenges requires advancing technological robustness of the tool as well as defining the applicability of unmanned aerial vehicles (UAVs) within conservation management. Moreover, its application needs validation in contrast to ground and/or aerial surveys to recommend protocols in different ecological settings and for different management questions. We conclude that UAVs may not serve as panaceas for monitoring land use changes and wildlife trends, but as additional, intermediary data collection tools to support management decisions. Highlights: The application of UAS in conservation is constrained by technological limits. Protocols and guidelines for UAV-based surveys need to be developed and validated. Use of unexplored light features and imaging technologies can increase data quality. UAS has the potential to complement or replace traditional survey approaches. … (more)
- Is Part Of:
- Biological conservation. Volume 241(2020)
- Journal:
- Biological conservation
- Issue:
- Volume 241(2020)
- Issue Display:
- Volume 241, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 241
- Issue:
- 2020
- Issue Sort Value:
- 2020-0241-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-01
- Subjects:
- Conservation of natural resources -- Periodicals
Nature conservation -- Periodicals
Ecology -- Periodicals
Environment -- Periodicals
Environmental Pollution -- Periodicals
Electronic journals
333.9516 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00063207 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.biocon.2019.108380 ↗
- Languages:
- English
- ISSNs:
- 0006-3207
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 2075.100000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 17903.xml