Results 121 to 130 of about 112,676 (288)

Integrating terrestrial and canopy laser scanning for comprehensive analysis of large old trees: Implications for single tree and biodiversity research

Remote Sensing in Ecology and Conservation, EarlyView.
Canopy laser scanning (CLS) enhances 3D measurements of large trees by lifting laser scanners into the canopy. Combining CLS with terrestrial laser scanning improves point cloud precision, reduces occlusion and enables detailed assessments of tree architecture and canopy biodiversity, opening new opportunities for forest ecology.
Barbara D'hont, Kim Calders, Alexandre Antonelli, Thomas Berg, Wout Cherlet, Karun Dayal, Olivia Jayne Fitzpatrick, Leonard Hambrecht, Maurice Leponce, Arko Lucieer, Olivier Pascal, Pasi Raumonen, Hans Verbeeck   +12 more
wiley   +1 more source

Optimized Radio Frequency Footprint Identification Based on UAV Telemetry Radios

Sensors
With the widespread use of unmanned aerial vehicles (UAVs), the detection and identification of UAVs is a vital security issue for the safety of airspace and ground facilities in the no-fly zone.
Yuan Tian, Hong Wen, Jiaxin Zhou, Zhiqiang Duan, Tao Li   +4 more
doaj   +1 more source

Unmanned Aerial Vehicles (UAV) [PDF]

, 2014
It is envisioned by the FAA that by 2016 UAVs will be flying in the NAS in fairly large numbers. There will be an increased need for TE potential hazards cannot be easily mitigated by aircrew action. Human factors and workload must be evaluated with respect to the envisioned mission, which may require long missions at remote sites.
openaire   +1 more source

Investigating boreal forest successional stages in Alaska and Northwest Canada using UAV‐LiDAR and RGB and a community detection network

Remote Sensing in Ecology and Conservation, EarlyView.
This study develops a novel application of UAV‐LiDAR and Red Green Blue (RGB) data and network analysis to enhance our understanding of boreal forest succession. The results indicate that tree height and spectral variables are the most influential predictors of plant functional type in random forest algorithms, and high overall accuracies were attained.
Léa Enguehard, Birgit Heim, Ulrike Herzschuh, Viktor Dinkel, Glenn Juday, Santosh Panda, Nicola Falco, Jacob Schladebach, Jakob Broers, Stefan Kruse   +9 more
wiley   +1 more source

A Study on Orthogonally Rotatable Two‑Dimensional Cutting Stock Problem: Heuristic Grouping Strategy

Nanjing Hangkong Hangtian Daxue Xuebao
The loading of non-unit load device in aircraft holds is crucial to air cargo transportation， and ensuring efficient loading of such cargo remains an important and urgent problem.
LI Yunfei, XU Jihui, ZHAO Xiangling
doaj   +1 more source

UAVs unveil the role of small scale vegetation structure on wader nest survival

Remote Sensing in Ecology and Conservation, EarlyView.
In this study, we combine high‐resolution vegetation structural metrics derived from unmanned aerial vehicle (UAV) imagery with on‐field wader nest survival monitoring. We show that the immediate vegetation height and heterogeneity within a 2‐meter buffer surrounding the clutch of the recorded ground‐nesting wader species positively influenced its ...
Miguel Silva‐Monteiro, Miguel Villoslada, Thaisa Bergamo, Triin Kaasiku, Camilo Carneiro, David Kleijn   +5 more
wiley   +1 more source

Exploring cascading failure in directed weighted small-world network: An adaptive SIRS-F mechanism

International Journal of Electrical Power & Energy Systems
Cascading failures in complex networks is a significant threat to system reliability and robustness, influencing various aspects of daily life. The small-world characteristics within complex networks contribute to increased complexity, making it ...
Wenjie Tian, Jihui Xu, Chuhan Zhou, Lu Chen, Xingqi Zou   +4 more
doaj   +1 more source

A UAV‐based deep learning pipeline for intertidal macrobenthos monitoring: Behavioral and age classification in Tachypleus tridentatus

Remote Sensing in Ecology and Conservation, EarlyView.
The endangered tri‐spine horseshoe crab (Tachypleus tridentatus), a “living fossil” crucial to coastal ecology and biomedical research, is experiencing severe population declines. Effective conservation requires efficient monitoring, which traditional methods cannot deliver at scale. We develop an integrated UAV deep learning framework tailored to this
Xiaohai Chen, Yuyuan Bao, Ziwei Ying, Mujiao Xie, Ting Li, Jixing Zou, Jun Shi, Xiaoyong Xie   +7 more
wiley   +1 more source

Robotics‐assisted acoustic surveys could deliver reliable, landscape‐level biodiversity insights

Remote Sensing in Ecology and Conservation, EarlyView.
Deploying and maintaining sensors is often a major bottleneck in collecting rapid biodiversity data. We tested whether autonomous hopping drones equipped with acoustic recorders could collect reliable biodiversity data in Costa Rica. Using 26,000+ hours of existing audio from 341 sites, with machine learning detections of 19 bird species and spider ...
Peggy A. Bevan, Cristina Banks‐Leite, Mirko Kovac, Jenna Lawson, Lorenzo Picinali, Sarab S. Sethi   +5 more
wiley   +1 more source

Programmed unmanned aerial vehicles show great potential for monitoring marine megafauna in specific areas of interest

Remote Sensing in Ecology and Conservation, EarlyView.
Targeted conservation measures are contingent on robust knowledge of spatio‐temporal animal distribution in areas of interest. We explore unmanned aerial vehicle (UAV) transect monitoring as a novel method for standardized digital aerial surveys of marine megafauna by investigating the fine‐resolution spatio‐temporal distribution of harbour porpoises ...
Dinah Hartmann, Valdemar Palmqvist, Johanna Stedt   +2 more
wiley   +1 more source