Monitoring forest recovery from disturbances at scale requires tracking tree dynamics, yet traditional ground‐based approaches are resource‐intensive. We present a pipeline to parameterize integral projection models (IPMs) using LiDAR data and hyperspectral‐based species maps to assess post‐fire recovery across large, forested areas at the Caribou ...
Jessica McLean +4 more
wiley +1 more source
Multimodal Sensor Fusion in Autonomous Vehicles: Technologies, Architectures, and Open Challenges. [PDF]
Viktor P, Kiss G.
europepmc +1 more source
Accounting for animal movement during aerial imaging surveys
Animals are not stationary during aerial surveys; if their movements are related to the movement of the aerial platform, then bias can be introduced into subsequent population count estimates. We sought to establish a framework for assessing the impacts of animal movement on count error and platform bias by comparing aggregated counts and relative ...
Rowan L. Converse +5 more
wiley +1 more source
The assessment of second year chiropractic students' comfort and confidence modifying care for vulnerable patient groups: A cross-sectional survey. [PDF]
Snow GJ, Derby DC.
europepmc +1 more source
We demonstrate that high‐resolution multispectral imagery combined with machine learning can accurately predict key biocrust functional indicators, particularly the UV‐protective pigment scytonemin, across dryland ecosystems. Using fine‐scale imagery acquired in the Chihuahuan Desert and Colorado Plateau, we identified spectral bands strongly ...
Raúl Román +8 more
wiley +1 more source
This study demonstrates that not just Airborne Laser Scanning, but also Sentinel‐2 can effectively estimate absolute canopy cover and canopy cover heterogeneity ‐ structural metrics that determine the subcanopy light regime, found to be linked to the vascular plant species richness in the understory of temperate mountain forests.
Felix Wieland‐Glasmann +4 more
wiley +1 more source
Investigating the capability of the structure-from-motion photogrammetry on monitoring the ice surface sublimation. [PDF]
Liu J +5 more
europepmc +1 more source
Citizen Science for Individual Identification of Pine Martens Martes martes From Camera Trap Footage
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
Parameter calibration method for car-following models under snowy weather conditions: Integrating an informer time series encoder and physics-informed neural networks. [PDF]
Sun Y, Li W, Yang M, Zhang X.
europepmc +1 more source
How Passive Acoustic and Traditional Monitoring Estimate Bird Diversity Across Habitats
We compared traditional bird counts (PC) with passive acoustic monitoring (PAM) in a heterogeneous Alpine landscape. PAM recorded twice as many species, with a strong correlation between species richness and the bird counts (rs = 0.71); however, there were significant differences depending on habitat type.
Jarek Scanferla +7 more
wiley +1 more source

