Results 101 to 110 of about 7,761 (159)

A Comparison of Mobile Laser Scanning Data Acquisition Methods in Closed Forest, Open Woodland and Sub‐Alpine Woodland Ecosystems

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
This study demonstrates that the mobile laser scanning (MLS) sampling density required to reliably characterise vegetation structure increases with a site's structural complexity. Applying a five‐level acquisition framework across open woodland, closed forest and sub‐alpine woodland ecosystems, we found that longer scanning paths increased the ...
Johann Tiede   +3 more
wiley   +1 more source

Multi-surveyor capture-mark-recapture as a powerful tool for butterfly population monitoring in the pre-imaginal stage. [PDF]

open access: yesEcol Evol, 2022
Hinneberg H   +11 more
europepmc   +1 more source

Development and Evaluation of a Low‐Cost, Semi‐Automated Camera Trap for Surveying Bumble Bee Communities

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Camera traps are emerging as a useful tool for noninvasive insect monitoring; however, it remains unclear how to lure diurnal insects to traps, how to detect them upon arrival, and how camera‐based methods compare to conventional sampling. We developed a low‐cost, open‐source camera trap to monitor wild bumble bees in agricultural fields. We found that
Michael P. Getz   +4 more
wiley   +1 more source

Citizen Science for Individual Identification of Pine Martens Martes martes From Camera Trap Footage

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Camera traps generate large volumes of wildlife footage, but identifying animals to the individual level remains challenging and time‐consuming. Using European pine martens in the Forest of Dean as a case study, we assessed whether citizen scientists could identify individuals from camera trap photos and videos.
Sian E. Green   +4 more
wiley   +1 more source

Efficient and Accurate Spatio‐Temporal Population Monitoring of Mobile Animals Using Drones and Computer Vision

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Drones and computer vision offer an efficient way to estimate animal populations over localized areas, but surveys often require stitching many overlapping images together. If animals move during the survey, traditional orthomosaic‐based counting methods become unreliable, with some animals appearing in multiple locations while others appear not at all,
Benjamin Koger   +5 more
wiley   +1 more source

Adapting mark-recapture methods to estimating accepted species-level diversity: a case study with terrestrial Gastropoda. [PDF]

open access: yesPeerJ, 2022
Rosenberg G   +11 more
europepmc   +1 more source

Small‐Scale Magnetic Soft Robots for Medical Applications: From Laboratory to Clinical Use

open access: yesSmartBot, EarlyView.
Small‐scale magnetic soft robots are emerging as promising platforms for minimally invasive diagnosis and therapy in complex in vivo environments. This review compares untethered and tethered medical magnetic robots in parallel across five translational stages, from basic performance testing to clinical evaluation.
Xingxing Ke   +29 more
wiley   +1 more source

A comparison of thermal drones and camera trap population estimates for Sitka black‐tailed deer in Alaska

open access: yesWildlife Biology, EarlyView.
One of the most difficult challenges for wildlife managers is reliably estimating wildlife populations. Camera traps combined with spatial capture–recapture (SCR) models are a popular tool for population estimation. They have limitations, however, including long data processing times.
Shannon P. Finnegan   +5 more
wiley   +1 more source

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