Results 181 to 190 of about 25,487 (265)

Accounting for animal movement during aerial imaging surveys

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
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

Quantifying Migratory Bat Movements in Central Europe Across Seasons and Years Using a Vertical‐Looking Radar

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Vertical‐looking radar provides a first multi‐year analysis of migratory bat phenology in Europe. Bat activity was lowest in winter, increased from spring, and peaked in summer, with similar timing of pre‐ and post‐maternity migrations across years.
Silvia Giuntini   +5 more
wiley   +1 more source

Widespread Bomb Fishing in Indo‐Pacific Archipelago Revealed Through Machine Learning Accelerated Passive Acoustic Monitoring

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
AI‐accelerated passive acoustic monitoring reveals extensive bomb fishing within the Spermonde Archipelago, with annual incidents numbering in the thousands. ABSTRACT Bomb fishing is recognised as the most destructive fishing practice that can be performed in our oceans.
Ben Williams   +9 more
wiley   +1 more source

Directive Antenna Clutter Loss in Slant Paths

open access: yesInternational Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT This paper investigates the development of a clutter loss model specifically for slant paths involving directive antennas. Conventionally, clutter loss is characterized by using isotropic antennas to facilitate standard link budget calculations via single antenna gain values.
Fernando Pérez Fontán   +4 more
wiley   +1 more source

Integrating Image Segmentation and Deep Learning to Improve Radio Frequency Propagation Models

open access: yesInternational Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT This paper proposes a multi‐sensor approach to improve radio frequency (RF) propagation models, which play a key role in the rapidly expanding field of connected vehicle technology. Focusing on the 1‐ to 20‐GHz frequency range, which is critical for both satellite‐to‐vehicle and base station‐to‐vehicle communications, our study introduces a ...
Jonathan Israel   +2 more
wiley   +1 more source

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