Results 111 to 120 of about 14,002 (250)

Environmental Stressors Influence Spatial Complexity in a Fluvial Macrophyte meadow

Remote Sensing in Ecology and Conservation, EarlyView.
This research investigates the nonlinear relationships between environmental stressors and the fine‐scale spatial complexity of a fluvial macrophytes meadow. The use of multivariate spatial analysis allowed us to identify two major environmental gradients (nutrients and light) and two major complexity gradients (related to abundance and fragmentation).
Arthur de Grandpré, Christophe Kinnard, Andrea Bertolo   +2 more
wiley   +1 more source

Fusion or Confusion? Assessing the Impact of Visible‐Thermal Image Fusion for Automated Wildlife Detection

Remote Sensing in Ecology and Conservation, EarlyView.
This study evaluates the performances of synchronous aerial visible (VIS) and thermal infrared (TIR) imagery for detecting great blue heron (Ardea herodias) nests and individuals using a YOLO11n model. VIS and TIR images were automatically aligned using deep learning, and both early and late fusion approaches were tested.
Camille Dionne‐Pierre, Samuel Foucher, Jérôme Théau, Jérôme Lemaître, Patrick Charbonneau, Maxime Brousseau, Mathieu Varin   +6 more
wiley   +1 more source

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

Remote 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, Albert B. Kao, Curry J. Cunningham, Thomas P. Quinn, Caroline Kittle, Andrew M. Berdahl   +5 more
wiley   +1 more source

Low‐Complexity Hybrid Beamforming for LEO Satellites: Beam Update Rate Analysis and Advanced Adaptive Precoding

International Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT Low Earth Orbit (LEO) satellite constellations offer unprecedented opportunities for global broadband connectivity but pose significant beamforming challenges due to rapid platform motion and stringent onboard hardware constraints. Fully digital architectures, while optimal in theory, remain impractical for satellite payloads, motivating ...
Mohammad Momani, Thomas Delamotte, Andreas Knopp   +2 more
wiley   +1 more source

Geometric Characterization of LEO–GEO Inter‐Satellite Links for Bidirectional Communications

International Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT Incorporating geosynchronous Earth orbit (GEO) and low Earth orbit (LEO) satellites can extend communication services far beyond the reach of terrestrial infrastructure. A key enabler of such architectures is the establishment of inter‐satellite links (ISLs) between LEOs and GEOs to support bidirectional communications.
Muhammad Furqan, Lingfeng Ye, Yanming Feng   +2 more
wiley   +1 more source

A Generic Approach to Creating a National Soil Security Strategy

Sustainable Development, EarlyView.
ABSTRACT Soil is a living and non‐renewable resource that underpins our very existence. It produces our food, filters our water, stores vast amounts of carbon, cycles essential nutrients, and sustains the rich tapestry of biodiversity on which our planet depends.
Alex McBratney, Pasquale Borrelli, Sandra J. Evangelista, Julia Feeth, Damien Field, Nicolas Francos, Irene Heuser, Anilkumar Hunakunti, Daniel Irving, Thilini Jayasekara, Bruce Lascelles, Fatima Maria de Souza Moreira, Budiman Minasny, Cristine L. S. Morgan, Wartini Ng, Julio C. Pachón Maldonado, Mercedes Román Dobarco, Amin Sharififar, Quentin Styc, Mara Thiene, David Watt, Jae E. Yang   +21 more
wiley   +1 more source

Neurotrophic Signaling, Sleep Physiology, and Retinal Neuroprotection: Integrative Mechanisms and Therapeutic Implications for Glaucoma

Sensory Neuroscience, EarlyView.
Glaucoma is increasingly understood as a neurodegenerative disorder shaped by sleep and circadian physiology, not intraocular pressure alone. Sleep loss and obstructive sleep apnea suppress BDNF–TrkB neurotrophic signaling, impair sleep‐dependent glymphatic clearance, and trigger microglial neuroinflammation and vascular insult at the optic nerve head,
Karyme M. Alemán‐Villa, Emiliano Terán, Javier A. Magaña‐Gómez, Loranda Calderón‐Zamora, Beatriz K. De la Herrán‐Arita, Alberto K. De la Herrán‐Arita   +5 more
wiley   +1 more source

Perfluorohexanone for Clean Fire Suppression: Mechanisms, System Design, Applications, and Future Directions

Safety Science and Technology, EarlyView.
Driven by halon and high GWP agent phase out, perfluorohexanone is increasingly deployed in enclosures such as data centers, marine machinery spaces, and industrial process lines. This review summarizes application performance, discharge and distribution design, material compatibility, and byproduct control and maps practical gaps for large volume and ...
Zhilei Yu, Haibin Dong, Yanfeng Sheng, Xuelei Xian, Dehua Zhang, Feiran Li, Liang Liu, Junchao Zhao, Heping Zhang   +8 more
wiley   +1 more source

Saving Bambi from the mower? Using a drone with thermal camera to evaluate a low‐tech scaring technique to reduce roe deer fawn mortality during grass harvest

Wildlife Biology, EarlyView.
Roe deer is a species that hides their neonates as an anti‐predator strategy. This may prove efficient against mammalian predators, such as the red fox; however, it might be an ecological trap as large numbers of fawns are killed by tractors with harvesters each year during grass harvest.
Thomas Vogler, Neri H Thorsen, Simen Pedersen   +2 more
wiley   +1 more source

Evaluating machine learning models for multi‐species wildlife detection and identification on remote sensed nadir imagery in South African savanna

Wildlife Biology, EarlyView.
This research paper investigates the efficacy of leading machine learning (ML) models for detecting and identifying ungulate species in African savanna using nadir imagery from unmanned aerial vehicles (UAVs). Traditional aerial counting methods, while widely used, suffer from significant limitations in accuracy and precision, in part due to human ...
Paul Allin, Fadel Seydou, Radloff Frans, Andrew Davies, Alison Leslie   +4 more
wiley   +1 more source