Results 191 to 200 of about 1,205,740 (288)
Drones equipped with thermal infrared (TIR) cameras offer significant time and labor savings in estimating wild ungulate populations. However, accurately monitoring forest‐dwelling ungulates remains challenging due to their elusive behavior and complex habitat.
Jinhwi Kim, Donggul Woo
wiley +1 more source
Dusky grouse seasonal resource selection in the Great Basin isolated mountain ranges of Nevada, USA
Dusky grouse Dendragapus obscurus are a montane forest grouse species with a paucity of information regarding their temporal and spatial resource use during critical times of high mortality and reproductive output. This lack of vital data may leave dusky grouse at risk of sub‐optimal management in many areas of their distribution, especially in the ...
Stephanie Landry +4 more
wiley +1 more source
The ruffed grouse Bonasa umbellus is a species of conservation concern that has declined across most of its range. At the southeastern trailing edge of the range in Georgia, grouse are restricted to elevations 600 m a.s.l. and abundance is relatively low.
Clayton D. Delancey +5 more
wiley +1 more source
Monitoring wildlife using long‐endurance solar‐electric UAVs
This report discusses the effectiveness of using small solar‐electric UAV (uncrewed aerial vehicles) for aerial wildlife monitoring. We review four years of aerial wildlife monitoring missions using a 5.5‐m wingspan, solar‐electric UAV that was equipped with a gimballed IR/RGB camera.
Götz Bramesfeld +3 more
wiley +1 more source
Effects of long term canopy change on regulating ecosystem services in a tropical urban park. [PDF]
Kasikam N +4 more
europepmc +1 more source
Micro‐habitat selection by boreal woodland caribou improves access to food
Bio‐logging sensors attached to radiotelemetry receivers have great potential to transform our understanding of the ecological, physiological, and energetic constraints that shape patterns of wildlife movement under field conditions. We used video camera collars to assess microhabitat selectivity by woodland caribou Rangifer tarandus in boreal forests ...
Ian D. Thompson +8 more
wiley +1 more source
This research paper investigates the efficacy of leading machine learning (ML) models for detecting and identifying ungulate species in African savanna using nadir imagery from unmanned aerial vehicles (UAVs). Traditional aerial counting methods, while widely used, suffer from significant limitations in accuracy and precision, in part due to human ...
Paul Allin +4 more
wiley +1 more source
Evaluating UAV and Handheld LiDAR Point Clouds for Radiative Transfer Modeling Using a Voxel-Based Point Density Proxy. [PDF]
Fujiwara T, Miura N, Naito H, Hosoi F.
europepmc +1 more source
Quantifying microhabitat selection of snowshoe hares using forest metrics from UAS‐based LiDAR
Identifying the spatial and temporal scale at which animals select resources is critical for predicting how populations respond to changes in the environment. The spatial distribution of fine‐scale resources (e.g. patches of dense vegetation) are often linked with critical life‐history requirements such as denning and feeding sites.
Alexej P. K. Sirén +7 more
wiley +1 more source
Synergistic use of ICESat-2 lidar data and Sentinel-2 imagery for assessing hurricane-driven forest changes. [PDF]
Gautam A +3 more
europepmc +1 more source

