Results 81 to 90 of about 6,499 (253)

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, Franklin Sullivan, Rachel Cliché, Jeremy Goetz, Leighlan S. Prout, Jillian Kilborn, Katelyn Courtot, Michael Palace   +7 more
wiley   +1 more source

GNSS Simulation for Automotive: Introducing 3D Scene-Dependent Multipath With CARLA

IEEE Access
Realistic Global Navigation Satellite System (GNSS) synthetic data is essential for the research and development of vehicular applications, such as Advanced Driver Assistance Systems (ADAS), autonomous driving, and solutions or scenarios that are ...
Cristiano Pendao, Ivo Silva, Fabricio Botelho, Helder Silva   +3 more
doaj   +1 more source

GNSS reflectometry for land remote sensing applications

, 2023
Soil moisture and vegetation biomass are two essential parameters from a scienti c and economical point of view. On one hand, they are key for the understanding of the hydrological and carbon cycle. On the other hand, soil moisture is essential for agricultural applications and water management, and vegetation biomass is crucial for regional ...
openaire   +4 more sources

Modelling the Four‐Dimensional Power Line Sag Dynamics by Point Signature in Time‐Series Synthetic‐Aperture Radar Images

High Voltage, EarlyView.
ABSTRACT Power lines in synthetic‐aperture radar (SAR) images are reflected as point signatures, which fluctuate annually in both the azimuth and range directions. A novel framework is proposed in this paper to evaluate the four‐dimensional dynamic status of power line sag using those point signatures in time‐series SAR images.
Sijie Ma, Tao Li, Mahdi Motagh, Yan Liu, Yangmao Wen   +4 more
wiley   +1 more source

Real-Time Tropospheric Delay Retrieval from Multi-GNSS PPP Ambiguity Resolution: Validation with Final Troposphere Products and a Numerical Weather Model

Remote Sensing, 2018
The multiple global navigation satellite systems (multi-GNSS) bring great opportunity for the real-time retrieval of high-quality zenith tropospheric delay (ZTD), which is a critical quality for atmospheric science and geodetic applications.
Cuixian Lu, Xin Li, Junlong Cheng, Galina Dick, Maorong Ge, Jens Wickert, Harald Schuh   +6 more
doaj   +1 more source

Facilitating macrosystem biology with organismal‐scale airborne remote sensing: Challenges and opportunities

Functional Ecology, EarlyView.
Read the free Plain Language Summary for this article on the Journal blog. Abstract Emergent ecosystem properties, such as population and trait distributions, biodiversity and energy and water fluxes, occur because of the dynamic interactions of individuals in their environment.
Sarah J. Graves, Ritesh Chowdhry, Meilun Zhou, Ira Harmon, Ben Weinstein, S. K. Morgan Ernest, Alina Zare, Ethan P. White, Stephanie A. Bohlman   +8 more
wiley   +1 more source

An Economic and Environmental Analysis of Virtual Fencing for Precision Grazing

Journal of Agricultural Economics, EarlyView.
ABSTRACT The UK grazing livestock sector is challenged by declining farm profitability and stringent environmental policy. Innovative technologies such as virtual fencing could enable a balanced economic and environmental performance of beef production. Virtual fencing is a livestock management tool relying on invisible boundaries perceived as auditory,
Elias Maritan, Karl Behrendt, Sarah Morgan, Steven Mark Rutter, James Lowenberg‐DeBoer   +4 more
wiley   +1 more source

New signals and systems: extending the applications of GNSS

Geo-spatial Information Science, 2013
Over the past three decades GPS has evolved from a system designed to provide meter-level positioning for military applications to one that is used for a diverse range of unforeseen applications, f...
openaire   +1 more source

Optimal deep learning activity recognition pipeline using animal bio‐logging data

Methods in Ecology and Evolution, EarlyView.
Abstract Animal activity recognition using supervised machine learning on bio‐logging data has revolutionized behavioural studies on wildlife and livestock over the past decade. These studies' analytic pipelines differ substantially though, being based on various sensors, features, algorithms and hyperparameter values, which has caused suboptimal or ...
Jasper A. J. Eikelboom
wiley   +1 more source

Managing the Threat of Subsidized Predators for a Threatened Shorebird

Animal Conservation, EarlyView.
Subsidized predators—native predators that have become more common due to human activities—challenge the persistence of many at‐risk prey species and require creative solutions beyond lethal predator control. In an 8‐year study, we placed small wire cages over western snowy plover nests that allow passage of plovers, but not their predators, and ...
R. R. Swaisgood, R. L. Smith, J. G. Schuetz, T. Wooten, L. I. Vilchis   +4 more
wiley   +1 more source