Lightweight unmanned aerial vehicles will revolutionize spatial ecology

By Karen Anderson, Kevin J. Gaston. 2013

1,312 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/075c3fe6bce134d72e08d5109abe2d96276fd52d

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Citations in the corpus

Unmanned Aerial Vehicles (UAVs): A Survey on Civil Applications and Key Research Challenges (2018, neutral): “includes multiple sensors, high-resolution and thermal cameras [134].”
Will remote sensing shape the next generation of species distribution models? (2015, methodology): “For example inter-annual variability in phenology has been used to identify annual grasses ª 2015 The Authors Remote Sensing in Ecology and Conservation published by John Wiley & Sons Ltd on behalf of Zoological Society of London.”
Noise Levels of Multi-Rotor Unmanned Aerial Vehicles with Implications for Potential Underwater Impacts on Marine Mammals (2016, background): “…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).”
Landscape Genomics: Understanding Relationships Between Environmental Heterogeneity and Genomic Characteristics of Populations (2017, background): “Similarly, environmental data can be obtained at high spatial and temporal resolutions for large study areas from remote sensing devices, such as satellites or drones (e.g., Pettorelli et al. 2005; Anderson and Gaston 2013).”
The next generation of rodent eradications: Innovative technologies and tools to improve species specificity and increase their feasibility on islands (2015, background): “Relatively small UAVs ﬁtted with high deﬁnition cameras are being used for wildlife census applications, although this is in its infancy it is an area receiving a great deal of attention from academics and wildlife managers (Anderson and Gaston, 2013).”
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).”
OPTIMIZATION OF GROUND CONTROL POINT (GCP) CONFIGURATION FOR UNMANNED AERIAL VEHICLE (UAV) SURVEY USING STRUCTURE FROM MOTION (SFM) (2019, background): “…past few years, it is undeniable that its application has significantly transformed from defense-focused applications to industrial and environmental applications due to its capability to work on remote and complex environments ease of deployment, and reasonable cost (Anderson and Gaston, 2013).”
Unmanned Aerial Vehicles (UAVs) in environmental biology: a review (2019, methodology): “One of the main objectives of using UAVs in plant ecology and conservation is mapping the distributions of individual plant species and vegetation types at a fine spatial scale (Anderson and Gaston, 2013).”
The potential for unmanned aerial vehicles (UAVs) to conduct marine fauna surveys in place of manned aircraft (2018, methodology): “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).”
Quantifying Boreal Forest Structure and Composition Using UAV Structure from Motion (2018, background): “High-resolution orthophotos [20,21] and structure from motion (SfM) plus multi-view stereo (MVS) [22–26] have been shown to be effective for vegetation mapping across a wide range of forest biomes.”
Assessment of Forest Structure Using Two UAV Techniques: A Comparison of Airborne Laser Scanning and Structure from Motion (SfM) Point Clouds (2016, background): “Given a likely use of UAVs for monitoring of vegetation dynamics [33], accurate direct georeferencing is an important processing step [13] that allows collection of accurate data in inaccessible forested terrain, where distribution and location of GCPs is often difficult.”
Quantitative Remote Sensing at Ultra-High Resolution with UAV Spectroscopy: A Review of Sensor Technology, Measurement Procedures, and Data Correction Workflows (2018, background): “Recent studies have shown that UAV remote sensing techniques are revolutionizing forest studies [2], spatial ecology [3], ecohydrology [4,5] and other environmental monitoring applications [6].”
Optimal Altitude, Overlap, and Weather Conditions for Computer Vision UAV Estimates of Forest Structure (2015, background): “Consumer-grade UAVs have reached a degree of technical maturity that, when equipped with digital cameras or other sensors, enable rapid and on-demand ‘personal remote sensing’ of landscapes at high spatial and temporal resolution [12–19].”