Results 171 to 180 of about 277,634 (332)
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 +12 more
wiley +1 more source
THE USE OF UNMANNED AERIAL VEHICLES (UAV) FOR LAND MANAGEMENT
The article is devoted to a comparative analysis of the use of unmanned aerial vehicles for solving problems of land management. Scientific work highlights the prospects for the use of unmanned aerial systems in the implementation of local monitoring ...
Y. Butenko , O. Kulakovskyi
doaj
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 +9 more
wiley +1 more source
UAVs unveil the role of small scale vegetation structure on wader nest survival
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 +5 more
wiley +1 more source
Asset tracking, condition visibility and sustainability using unmanned aerial systems in global logistics. [PDF]
Sellevold E +6 more
europepmc +1 more source
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 +7 more
wiley +1 more source
Robotics‐assisted acoustic surveys could deliver reliable, landscape‐level biodiversity insights
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 +5 more
wiley +1 more source
Exact flow of particles using for state estimations in unmanned aerial systems` navigation. [PDF]
Duymaz E, Oğuz AE, Temeltaş H.
europepmc +1 more source
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 +2 more
wiley +1 more source
Interpreting Development of Unmanned Aerial Vehicles using Systems Thinking
Rapid present development of unmanned aerial vehicles is rather unstructured. Starting from general systems theory we formulate classification of unmanned aerial vehicles (UAVs) that properly groups diverse produced unmanned aerial vehicles, along with ...
Josip Stepanić +3 more
doaj

