Quantifying microhabitat selection of snowshoe hares using forest metrics from UAS‐based LiDAR
Wildlife Biology, EarlyView.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
New frontiers for unmanned aerial vehicles in planetary health research. [PDF]
BMC Glob Public HealthBramante JT +5 more
europepmc +1 more source
Estimating red deer Cervus elaphus population density using drones in a steep and rugged terrain
Wildlife Biology, EarlyView.Precise and accurate information about population density, crucial for wildlife management, is difficult to obtain for elusive species living in dense forests or steep and inaccessible terrain. Using unmanned aerial vehicles (UAVs), we developed a method for obtaining absolute population estimates of ungulates living in steep, rugged, and partly ...
Julie Bommerlund +3 more
wiley +1 more source
Line-of-sight stability in unmanned aerial vehicle relays for hybrid free-space optical and visible light communication links under atmospheric effects. [PDF]
PLoS OneSliti M +5 more
europepmc +1 more source
Wildlife Society Bulletin, EarlyView.We used drone‐based radiotelemetry and multispectral imagery to estimate detection and survival probabilities of blue‐winged teal broods in Saskatchewan, Canada. Weekly brood survival probabilities, estimated via Cormack‐Jolly‐Seber models, increased with age and were comparable between drone methods.
Grant A. Rhodes +5 more
wiley +1 more source
Dynamic Adaptive Label Assignment for Tiny Object Detection in Remote Sensing Images
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT With the development of unmanned aerial vehicle and satellite technology, the application of tiny object detection in remote sensing images is becoming increasingly widespread. Although significant progress has been made in the accuracy and speed of object detection in recent years, performance declines sharply when general object detectors ...
Shuohao Shi, Qiang Fang, Xin Xu
wiley +1 more source
Joint optimization of system utility in UAV-enabled edge computing. [PDF]
PLoS OneZuo H, Zhang E, Tang Y, Yin M, Dong W.
europepmc +1 more source
MSFFNet: Multiscale Feature Fusion Network for Small Target Detection in Remote Sensing Images
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT With the advancement of satellite remote sensing technology, object detection based on high‐resolution remote sensing imagery has emerged as a prominent research focus in the field of computer vision. Although numerous algorithms have been developed for remote sensing image object detection, they still suffer from challenges such as low ...
Hui Zong +5 more
wiley +1 more source
Energy-Efficient 3D Trajectory Optimization and Resource Allocation for UAV-Enabled ISAC Systems. [PDF]
Entropy (Basel)Jing L +5 more
europepmc +1 more source