Feature Papers of Drones Volume II

Edited by
January 2023
662 pages
  • ISBN978-3-0365-6189-9 (Hardback)
  • ISBN978-3-0365-6190-5 (PDF)

This book is a reprint of the Special Issue Feature Papers of Drones that was published in

This book is part of the book set Feature Papers of Drones

Environmental & Earth Sciences

This reprint compiles the articles, communications, and review articles from top researchers describing novel or new cutting-edge designs, developments, and/or applications of unmanned vehicles. This reprint encompasses the key topics related to drone design, communications as well as autonomous Flight and Navigation. Special attention is paid to the drones’ applications to environmental and earth sciences, including in agriculture, forestry, water, and marine environments; other innovative applications are also explored including in relation to the field of application, such as the inclusion of new deep learning techniques.

  • Hardback
© 2022 by the authors; CC BY-NC-ND license
convolutional neural network; deep learning; transfer learning; point clouds; structural damage assessment; vegetation indices; RGB cameras; unmanned aerial vehicle (UAV); empirical line method; Green leaf index; open aerial map; autonomous; hexacopter; water quality; water stratification; water temperature; drones; Martian atmosphere; thermal analysis; aerodynamics; thermoelectric generators; hyperspectral images; multispectral data; machine learning; ice detection; UAS; GCP; 3D point cloud; DSM; image processing accuracy; actual evapotranspiration; high spatiotemporal resolution; multispectral imagery; thermal infrared imagery; METRIC energy balance model; irrigated field crops; precision agriculture; travelling salesman problem; UAV-based precision farming; Euclidean distance; Voronoi; site-specific fertilizer spray; UAV; UAS; RPAAS; aerial application; backpack sprayer; spray deposition; droplet spectra; palmer amaranth; morningglory; Reforming-Controlled Compression Ignition; UAV applications; exergy analysis; hydrogen; dimethyl ether; fuel reactivity control; FANETs; ad hoc networking; drone swarms; efficient routing; UAS; drones; traffic monitoring; 4G/LTE; VPN; real-time video; computer vision; unmanned aerial systems; UAV; autonomous systems; wildland fire; forest fires; fire detection; UAVs; safety; drones; signal processing; condition-based maintenance; structural health monitoring; fault diagnostics; fault mitigation; contingency planning; streamflow; sediment loading; unmanned aerial systems; drones; digital terrain model; UAV; rocky coast; Galicia; ecosystems; geomorphic change detection; GIS; drone; dragonfly; insect; biomimetic; biological inspiration; aerodynamics; design; remote sensing; coral reefs; drones; linear unmixing; R; Google Earth Engine; persistent surveillance; hierarchical architecture of UAV teaming; communication aware UAV formation; dynamical object tracking; intercommunication quality; UAV-based monitoring; agricultural robotics; plant disease detection; RGB images; Cercospora leaf spot; CNNs; semantic segmentation; phenotyping; bog; drone; Oculus Quest 2; Mer Bleue; SfM; UAV; augmented reality; AR; unmanned aerial systems (UAS); aerial photogrammetry; habitat monitoring; braided river habitats; efficiency; data envelopment analysis (DEA); drones; civilian use; factors; design and selection; law-making; mind-mining; expert groups; literature study; triple helix model (THM); analytic hierarchy process (AHP); collision avoidance; depth cameras; point cloud; UAV; CPU; GPU; spiral; Mars; UAV; autogyro; gyroplane; UAV; autonomous flight; indoor positioning; cyber pilot; sensor fusion; distributed electric propulsion; boundary layer ingestion; propeller; fixed wing; UAVs; aerial drones; autonomous navigation; path planning; reactive control; obstacle avoidance; sense-and-avoid; hybrid navigation method; dynamic environments; small unmanned aircraft systems; photogrammetry; structure-from-motion; wind impact; turbulence; crash scene reconstruction; traffic incident management; detection; CBRNe; drone; MOX; chemical sensor; simulation; fluid dynamics simulations; drones; green water; integrated water management strategies; remote sensing; smallholder farms; water productivity; localization; communication; drone swarm; UAVs; lidar; streams; canopy height; roughness; vegetation density; change detection; UAVs; NB-IoT; network analysis; simulations; landslides; unmanned aerial vehicle (UAV); multispectral; RGB; vegetation monitoring; drones; legislation; ethics; spatial social sciences; advanced leak detection; advanced leak quantification; remote sensing; source estimation; environmental monitoring; landfill; natural gas; human–swarm interaction; situation awareness; user-centered interface design; drone; UAV; UAS; thermal imaging; blackbody; emissivity; thermography; drones; base stations; cellular networks; photovoltaic system; battery; search and rescue; autonomous drones; path planning; acceleration; deceleration; drone classification; CNN; machine learning; HERM lines; micro-Doppler; radars; aeromagnetics; drone survey; mineral exploration; geophysical prospecting; speed; RFID; inventory; drones; labor; forecast; drone technology; aquaculture; precision aquaculture; aquaculture monitoring; aquaculture drones; internet of things; swarm robotics; unmanned aerial vehicle; evolutionary game theory; evolutionary algorithm; surveillance system; multi-objective optimisation; unmanned aerial vehicle (UAV); digital elevation model (DEM); digital surface model (DSM); orthomosaic; photogrammetry; Earth observation; environmental monitoring; drones; unmanned aerial vehicles (UAV); social acceptance; urban air mobility (UAM); CORUS-XUAM; distributed electric propulsion; boundary layer ingestion; propeller; fixed wing; proper orthogonal decomposition; cellular-enabled drones; aerial base stations; 5G/B5G/6G cellular networks; drones; augmented reality; AR; gesture recognition; small drone; long-distance surveillance; ground target tracking; track-to-track association; image-to-position conversion; anti-collision radar; autonomous flight unmanned aerial system; obstacle detection; obstacle avoidance; radar mapping; unmanned aerial system (UAS); unmanned aerial vehicle (UAV); n/a; grazing density; nutrient; pasture management; forage grass; remote sensing