Deep Learning for Satellite‐Based Forest Disturbance Monitoring: Recent Advances and Challenges
WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 2, June 2026.Overview of key research challenges in forest disturbance monitoring, including the detection of disturbances of varying severity, the attribution of disturbance agents, and the development of models capable of generalizing across regions. ABSTRACT Climate change and land use pressures are intensifying forest disturbances in many world regions, as ...
Carolina Natel +3 more
wiley +1 more source
Comprehensive Investigation of Unmanned Aerial Vehicles (UAVs): An In-Depth Analysis of Avionics Systems. [PDF]
Sensors (Basel)Osmani K, Schulz D.
europepmc +1 more source
Bio‐Inspired Multimodal Hardware Front‐End Enabled by 2D Floating‐Gate Memory for UAV Perception
Advanced Functional Materials, Volume 36, Issue 37, 7 May 2026.A MoS2/h‐BN /graphene floating‐gate memory underpins a bio‐inspired multimodal front end that integrates visual, inertial, and airflow cues. A 4 × 4 FG memory array encodes temporal intensity differences, while IMU‐ and airflow‐driven threshold modulation suppresses self‐motion artifacts, enabling fast, low‐power, robust autonomous UAV tracking and ...
Lianghao Guo +11 more
wiley +1 more source
UAVs-FFDB: A high-resolution dataset for advancing forest fire detection and monitoring using unmanned aerial vehicles (UAVs). [PDF]
Data BriefMowla MN +4 more
europepmc +1 more source
MXene‐Coated 3D Printed Horn Antennas for Ku Frequency Band
Advanced Materials Technologies, Volume 11, Issue 9, 6 May 2026.An additive manufacturing approach to 3D printing horn antennas and coating them with Ti3C2Tx MXene is proposed. Rapid fabrication of lightweight, high‐performance antennas operating in the Ku‐band (12.4–18 GHz) has been demonstrated. The MXene‐coated antennas exhibit comparable electromagnetic performance to conventional, costly aluminum ones, with ...
Zahra Sarpanah Sourkouhi +3 more
wiley +1 more source
Assessment of the Possibility of Using Unmanned Aerial Vehicles (UAVs) for the Documentation of Hiking Trails in Alpine Areas. [PDF]
Sensors (Basel), 2017 Ćwiąkała P +6 more
europepmc +1 more source
Agronomy Journal, Volume 118, Issue 3, May/June 2026.Abstract Precision agriculture technologies (PATs) have revolutionized the agriculture industry and provide many benefits to farmers. Among these benefits is the ability to conduct experiments in a process known as on‐farm precision experimentation (OFPE). By conducting these experiments and through collaboration with researchers, crop consultants, and
Reagen G. Tibbs +3 more
wiley +1 more source
A Performance‐Based Earthquake Fatality Modeling Framework Using Collapse Volume Ratios
Earthquake Spectra, Volume 42, Issue 2, May 2026.Conventional earthquake fatality models are commonly implemented using a binary representation of building collapse, an assumption that overlooks severe failure modes and systematically underestimates fatalities. To address this limitation, this study advances the collapse volume ratio—a continuous metric quantifying the reduction of survivable space ...
Luis Ceferino +6 more
wiley +1 more source
Rapid Unmanned Aerial Vehicle launcher (UAV) system
, 2018 The disclosure provides a rapid UAV launcher comprising an upper shuttle assembly and typically a plurality of rail systems. Each rail system comprises a lower shuttle assembly extending into a rail channel and translating over a rail surface. The rail channels of each rail system e generally parallel.
openaire +1 more source
Mapping River Bed Topography in Whitewater Rapids Using Bathymetric LiDAR
River Research and Applications, Volume 42, Issue 4, Page 886-900, May 2026.ABSTRACT Bathymetric LiDAR captures river topography efficiently for clear and shallow water, but for mountain rivers, whitewater rapids still pose challenges. This study proposes a novel method to enable the extraction of bottom returns specifically in turbulent whitewater sections.
Jan Rhomberg‐Kauert +5 more
wiley +1 more source