Are unmanned aircraft systems (UASs) the future of wildlife monitoring? A review of accomplishments and challenges

By Julie Linchant, Jonathan Lisein, Jean Semeki, P. Lejeune, C. Vermeulen. 2015

453 citations recorded by the source corpus.

Subfields: Ecology, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/55299ac54fe377b15a9ed98af44dbb7feb88a586

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

In Environmental Engineering

Citations in the corpus

Drones count wildlife more accurately and precisely than humans (2017, background): “Remotely Piloted Aircraft Systems have been heralded as a game changer in ecology (Jones, Pearlstine & Percival 2006; Watts et al. 2010; Koh & Wich 2012; Anderson & Gaston 2013; Marris 2013; Chabot & Bird 2015; Linchant et al. 2015; Christie et al. 2016).”
Inexpensive Aerial Photogrammetry for Studies of Whales and Large Marine Animals (2017, background): “Unmanned Aerial Vehicles (UAVs) are increasingly used in ecological research (see Linchant et al., 2015, for review).”
Perspectives in machine learning for wildlife conservation (2021, background): “• Unmanned aerial vehicles (UAVs) or drones for lowaltitude image-based approaches, have been highlighted as a promising technology for animal conservation (77, 78).”
Detecting Mammals in UAV Images: Best Practices to address a substantially Imbalanced Dataset with Deep Learning (2018, background): “Livestock censuses play an important part in the ever-ongoing ﬁght against the rapid decline of endangered large mammal species (Linchant et al., 2015).”
The potential for unmanned aerial vehicles (UAVs) to conduct marine fauna surveys in place of manned aircraft (2018, background): “They normally require assistance with taking off (“throwing” by hand or catapult) and a capture system or smooth ground for retrieval (Anderson and Gaston, 2013; Vermeulen et al., 2013; Linchant et al., 2015).”
Unmanned aircraft systems in wildlife research: current and future applications of a transformative technology (2016, background): “In most countries, UAS must be operated within line- of- sight and lengthy permitting processes are necessary (Anderson and Gaston 2013; Linchant et al. 2015).”
An Economical Custom-Built Drone for Assessing Whale Health (2017, background): “UAV applications in wildlife research now encompass almost all environments, from arid deserts, through rainforests, oceans to polar regions (Linchant et al., 2013, 2015; Durban et al., 2015; Goebel et al., 2015; Duffy et al., 2017).”
Noise Levels of Multi-Rotor Unmanned Aerial Vehicles with Implications for Potential Underwater Impacts on Marine Mammals (2016, methodology): “…wildlife science includes optical surveying and observation of animals (both terrestrial andmarine), autonomous wildlife telemetry tracking, and habitat mapping and monitoring (for a review of research areas and species, see Anderson and Gaston, 2013; Chabot and Bird, 2015; Linchant et al., 2015).”