Results 61 to 70 of about 9,242 (190)

Semi‐automated seal detection on the Western Antarctic Peninsula: an unsupervised machine learning approach for detecting ice seals in aerial survey data

Remote Sensing in Ecology and Conservation, EarlyView.
This study presents a semi‐automated, rule‐based image analysis pipeline to detect ice seals in aerial surveys of the Western Antarctic Peninsula during an unusually low sea ice year. By using simple hierarchical clustering instead of deep learning, the method substantially reduced human annotation effort while achieving 82% recall, identifying 758 ...
Claire McGinnity, Connor C.G. Bamford, Nathan Fenney, Andrew Fleming, Jaume Forcada, Michael S. Tift, Luis A. Hückstädt, Daniel P. Costa, Peter T. Fretwell   +8 more
wiley   +1 more source

Tracing Three Decades of Low Earth Orbit Satellite Communication Development: A Bibliometric and Main Path Analysis of Network Architectures, Protocol Evolution, and Emerging Intelligent Services

International Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT Low Earth Orbit (LEO) satellite communication systems have evolved into a critical component of global broadband networks, enabling wide‐area connectivity, IoT services, and intelligent multilayer satellite–terrestrial integration. Despite rapid advancements in constellation deployment, routing mechanisms, resource management, and LEO–5G/6G ...
Wei‐Hao Su, Ya‐Chen Chuang, Long‐Sheng Chen   +2 more
wiley   +1 more source

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

International 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, Xavier Boulanger, Vegard Arneson   +2 more
wiley   +1 more source

Software system for managing the network infrastructure of reference GNSS stations using cloud technologies

Вестник КазНУ. Серия математика, механика, информатика, 2020
Nowadays, global navigation satellite systems are widely used to determine the location of various objects with an accuracy of meters. However, there are a number of industries that require high navigation accuracy, for example, for a satellite geodetic ...
M.M. Moldabekov, D.I. Yeryomin, D.G. Zhaxygulova, S. Trepashko, R.A. Kaliyeva   +4 more
doaj   +1 more source

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 systems in vehicle fleet management [PDF]

Transport Problems, 2007
GNSS (Global Navigation Satellite System) in connection with othertechnologies, such as mobile telephone GSM will improve management of chains of orders and fleet management in all types of transport.
Arkadiusz TYSZKO, Tomasz TEMLIN, Stanisław OSZCZAK   +2 more
doaj  

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

The Impact of Estimating High-Resolution Tropospheric Gradients on Multi-GNSS Precise Positioning

Sensors, 2017
Benefits from the modernized US Global Positioning System (GPS), the revitalized Russian GLObal NAvigation Satellite System (GLONASS), and the newly-developed Chinese BeiDou Navigation Satellite System (BDS) and European Galileo, multi-constellation ...
Feng Zhou, Xingxing Li, Weiwei Li, Wen Chen, Danan Dong, Jens Wickert, Harald Schuh   +6 more
doaj   +1 more source

Assessing the Vulnerability of an Inuit Archaeological Site in a Changing Periglacial Environment: A Novel Multimethod Geophysical Approach in Arctic Geoarchaeology

Archaeometry, EarlyView.
ABSTRACT With northern regions warming at twice the global rate, assessing the state of archaeological sites in these areas is critically important. In this study, we used a multimethod geophysical approach (ERT, GPR, and EMI) to characterize the current geocryological conditions of an Inuit archaeological site on South Aulatsivik Island (Labrador ...
Rachel Labrie, Dominique Todisco, Najat Bhiry, Cécile Finco, Héloïg Barbel Le Page, Armelle Couillet   +5 more
wiley   +1 more source

Differential Coherent Algorithm Based on Fast Navigation-Bit Correction for Airborne GNSS-R Software Receivers

Tsinghua Science and Technology, 2013
Signals from the Global Navigation Satellite System (GNSS) scatter over the sea surface resulting in relatively low Signal-to-Noise Ratios (SNR). A differential coherent algorithm is given here to improve the SNR and reduce the performance degradation ...
Yiran Wang, Bo Zhang, Dingrong Shao
doaj   +1 more source