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• Vertical ozone formation mechanisms driven by deep convection within the boundary layer over the Loess Plateau, China.
  europepmc 2026 置信度 0.80
• Dynamic Prediction of Maize Tasseling Stage Based on UAV LiDAR Time-Series Plant Height Growth Curves: A Framework Coupling UAV-CHM-POI.
  Accurate identification and effective prediction of the maize tasseling stage are of great significance for guiding precision field management and ensuring stable crop yields. Conventional manual observation methods suffer from high labor intensity, poor timel…
  europepmc 2026 置信度 0.80
• Effects of Task Priority and Difficulty in Multitasking Across Screens.
  europepmc 2026 置信度 0.80
• UAV-based monitoring of fruit-manifested abiotic stress in crops under label scarcity: a case study of blossom-end rot in processing tomatoes.
  europepmc 2026 置信度 0.80
• Facility-wide greenhouse gas and pollutant emissions from covered aerated static pile composting.
  europepmc 2026 置信度 0.80
• Ague Cove Thermal Infrared Mapping (May 31, 2026 00:35-00:43)
  This dataset was obtained using FLIR Vue TZ20R mounted on DJI Matrice 300 UAV in Ague Cove, Guam on May 31, 2026 from 00:35 to 00:43 (ChST) and includes raw unprocessed (1) thermal infrared images taken at 135 feet above ground level and (2) thermal infrared i…
  datacite Mendiola, Melanie 2026 置信度 0.66
• Ague Cove Thermal Infrared Mapping (May 31, 2026 00:35-00:43)
  This dataset was obtained using FLIR Vue TZ20R mounted on DJI Matrice 300 UAV in Ague Cove, Guam on May 31, 2026 from 00:35 to 00:43 (ChST) and includes raw unprocessed (1) thermal infrared images taken at 135 feet above ground level and (2) thermal infrared i…
  datacite Mendiola, Melanie 2026 置信度 0.66
• AirForesight: Current-to-Future Spatial Map Imagination with Cross-Space Planning Consistency for UAV-VLN
  Unmanned Aerial Vehicle Vision-Language Navigation (UAV-VLN) requires agents to follow language instructions, infer spatial structure from sparse multi-view observations, and execute feasible 3D motion in complex outdoor environments. Despite recent progress w…
  datacite Liu, Yutong, Li, Xiaojie, Xu, Mingzhu, Wu, Jianlong 2026 置信度 0.66 Robotics (cs.RO)FOS: Computer and information sciences
• Latent Semantic State Estimation for Reliable Swarming of UAVs under Intermittent Connectivity
  Cooperative multi-unmanned aerial vehicle (UAV) reconnaissance is often hindered by intermittent air-to-air communications where link dropouts lead to uncoordinated exploration and redundant mapping. Existing approaches rely on explicit exchange of high-dimens…
  datacite Karakasis, Paris A., Saad, Walid 2026 置信度 0.66 Signal Processing (eess.SP)FOS: Electrical engineering, electronic engineering, information engineering
• Iterative Hybrid Discrete-Continuous Viewpoint Planning for UAV Photogrammetry
  Unmanned aerial vehicle (UAV) photogrammetry requires camera networks that provide sufficient surface coverage, image overlap, parallax, and resolution, yet conventional flight patterns are often poorly adapted to scene geometry resulting in local reconstructi…
  datacite Grech, Alan, Pisani, Daniel, Grima, Andre, Debono, Carl James 等 2026 置信度 0.66 Computer Vision and Pattern Recognition (cs.CV)FOS: Computer and information sciences
• Adaptive Sampling for Automated Post-Disaster Rapid Damage Assessment via Level-Set Cost-Aware Bayesian Optimization
  Natural disasters frequently inflict severe damage to the built environment, which demands a rapid, reliable, and cost-effective damage assessment for emergency response. However, traditional methods for post-disaster damage assessment often rely on static, la…
  datacite Xu, Boyang, Gahrooei, Mostafa Reisi, Ilbeigi, Mohammad, Yan, Hao 2026 置信度 0.66 Machine Learning (cs.LG)FOS: Computer and information sciences
• Field experiment dataset for vision-assisted radar tracking of non-cooperative aerial vehicles: tracking evaluation, YOLO detector component, and camera-radar calibration
  This dataset supports the paper "Visual Assisted Radar Target Tracking Method for Non Cooperative Aircraft" (IPODT 2026 submission). Research on unmanned aerial vehicle perception for airborne deployment, using 4D millimeter wave radar and monocular camera to …
  datacite Yin Senhao, zhang bi hui 2026 置信度 0.66 Computer science and technologyComputer application4D millimeter-wave radarmonocular cameraunmanned aerial vehicle
• Assessing the Benefits of Combining Advanced Deep Learning Techniques for Post-Disaster Building Damage Assessment from UAV Imagery
  Rapid and accurate post-disaster building damage assessment is essential, yet remains a challenging task. Unmanned Aerial Vehicle (UAV) imagery offers a timely and high-resolution view of affected areas, but existing Computer Vision (CV) models often demand la…
  datacite Ung, Huy Quang, Habault, Guillaume, Legaspi, Roberto, Niu, Hao 等 2026 置信度 0.66 Computer Vision and Pattern Recognition (cs.CV)FOS: Computer and information sciences
• Sensitivity-Based Tube NMPC for Cooperative Aerial Structures Under Parametric Uncertainty
  This paper presents a sensitivity-based tube Nonlinear Model Predictive Control (NMPC) framework for cooperative aerial chains under bounded parametric uncertainty. We consider a planar two-vehicle chain connected by rigid links, modeled with input-rate actuat…
  datacite Silano, Giuseppe, Sablé, Quentin, Tognon, Marco, Iannelli, Luigi 等 2026 置信度 0.66 Robotics (cs.RO)FOS: Computer and information sciences
• Network Verified NTN Positioning for 6G A Standards Oriented Survey of Hybrid TN NTN Localization
  Wireless positioning is evolving from legacy cellular and standalone satellite navigation toward hybrid, high-accuracy, three-dimensional (3D), and network-verifiable frameworks for 5G Advanced, 6G, and non terrestrial network (NTN) systems. This shift is driv…
  datacite Wang, Donglin, Fang, Zexing, Zhou, Qiuheng, Schotten, Hans D. 2026 置信度 0.66 Systems and Control (eess.SY)FOS: Electrical engineering, electronic engineering, information engineering
• TF-1770: A Visible–Infrared Forest Fire Image Dataset for Multimodal Perception and Image Fusion Research
  TF-1770 Dataset Description Additional note: In addition to the TF-1770 main dataset, an independently collected deployment test set containing 1,116 aligned visible–infrared image pairs is provided for edge-deployment and quantization-effect evaluation. This …
  datacite Yu, Qian 2026 置信度 0.66 visible-infrared image fusionwildfire monitoringforest fire datasetComputer Vision
• TF-1770: A Visible–Infrared Forest Fire Image Dataset for Multimodal Perception and Image Fusion Research
  TF-1770 Dataset Description Additional note: In addition to the TF-1770 main dataset, an independently collected deployment test set containing 1,116 aligned visible–infrared image pairs is provided for edge-deployment and quantization-effect evaluation. This …
  datacite Yu, Qian 2026 置信度 0.66 visible-infrared image fusionwildfire monitoringforest fire datasetComputer Vision
• Ague Cove Thermal Infrared Mapping (July 25, 2026 23:22-23:30)
  This dataset was obtained using FLIR Vue TZ20R mounted on DJI Matrice 300 UAV in Ague Cove, Guam on July 25, 2026 from 11:22 PM to 11:30 PM (ChST) and includes raw unprocessed (1) thermal infrared images taken at 135 feet above ground level, (2) thermal infrar…
  datacite Mendiola, Melanie 2026 置信度 0.66
• Ague Cove Thermal Infrared Mapping (July 25, 2026 23:22-23:30)
  This dataset was obtained using FLIR Vue TZ20R mounted on DJI Matrice 300 UAV in Ague Cove, Guam on July 25, 2026 from 11:22 PM to 11:30 PM (ChST) and includes raw unprocessed (1) thermal infrared images taken at 135 feet above ground level, (2) thermal infrar…
  datacite Mendiola, Melanie 2026 置信度 0.66
• Ague Cove Thermal Infrared Mapping (July 25, 2026 22:25-22:33)
  This dataset was obtained using FLIR Vue TZ20R mounted on DJI Matrice 300 UAV in Ague Cove, Guam on July 25, 2026 from 10:25 PM to 10:33 PM (ChST) and includes raw unprocessed (1) thermal infrared images taken at 135 feet above ground level, (2) thermal infrar…
  datacite Mendiola, Melanie 2026 置信度 0.66
• Ague Cove Thermal Infrared Mapping (July 25, 2026 22:25-22:33)
  This dataset was obtained using FLIR Vue TZ20R mounted on DJI Matrice 300 UAV in Ague Cove, Guam on July 25, 2026 from 10:25 PM to 10:33 PM (ChST) and includes raw unprocessed (1) thermal infrared images taken at 135 feet above ground level, (2) thermal infrar…
  datacite Mendiola, Melanie 2026 置信度 0.66
• CRB-Driven Beamforming and Trajectory Optimization for UAV-assisted ISAC System
  In this paper, we study an unmanned aerial vehicle (UAV)-assisted integrated sensing and communication (ISAC) system, where a UAV enhances the sensing capability of a base station (BS) towards a target while ensuring reliable communication towards a downlink u…
  datacite Yang, Yi, Zhang, Qianqian, Wang, Huaxia 2026 置信度 0.66 Information Theory (cs.IT)Machine Learning (cs.LG)Robotics (cs.RO)FOS: Computer and information sciences
• MAVHoney-D46: A 46-Day Multi-Continental Dataset of Real-World Attack Traffic Against MAVLink-Based UAV Communication
  MAVHoney-D46 is the first publicly available, multi-continental dataset of real-world network traffic targeting MAVLink-based Unmanned Aerial Vehicle (UAV) Ground Control Stations (GCS). Deployed over 46 days (April 16 – May 31, 2026) across three geographic l…
  datacite Mewundi, Sapna Vikram, Chowdary, Medaramitla Prajwal, Honnavalli, Prasad B. 2026 置信度 0.66 MAVLinkUAV securityhoneypotintrusion detection dataset
• PRO-SPECT: Probabilistically Safe Scalable Planning for Energy-Aware Coordinated UAV-UGV Teams in Stochastic Environments
  We consider energy-aware planning for an unmanned aerial vehicle (UAV) and unmanned ground vehicle (UGV) team operating in a stochastic environment. The UAV must visit a set of air points in minimum time while respecting energy constraints, relying on the UGV …
  datacite Fowler, Roger, Er, Cahit Ikbal, Johnsenberg, Benjamin, Yazicioglu, Yasin 2026 置信度 0.66 Robotics (cs.RO)Multiagent Systems (cs.MA)FOS: Computer and information sciences
• SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing
  Recent advances in Multimodal Large Language Models (MLLMs) have significantly improved remote sensing (RS) multimodal understanding. Language-conditioned segmentation is crucial for fine-grained target understanding in Unmanned Aerial Vehicle (UAV) videos. Ho…
  datacite Jing, Kaiwen, Jia, Ruixu, Li, Bingyao, Ou, Ruizhe 等 2026 置信度 0.66 Computer Vision and Pattern Recognition (cs.CV)FOS: Computer and information sciences
• Closed-loop Uplink Radio Resource Management in CF-O-RAN Empowered 5G Aerial Corridor
  In this paper, we investigate the uplink (UL) radio resource management for 5G aerial corridors with an open-radio access network (O-RAN)-enabled cell-free (CF) massive multiple-input multiple-output (mMIMO) system. Our objective is to maximize the minimum spe…
  datacite Sarker, Manobendu, Hassan, Md. Zoheb, Wang, Xianbin 2026 置信度 0.66 Systems and Control (eess.SY)FOS: Electrical engineering, electronic engineering, information engineering
• Estimating fuel moisture in grasslands using UAV-mounted infrared and visible light sensors: Field data
  This data publication consists of the weight before and after drying, along with other relevant information, of 120 grass plots at the Mazama Meadows site near Olympia, Washington on 09/22/2020. Each plot was destructively sampled and broken into three sample …
  datacite US Department of Agriculture, US Forest Service 2026 置信度 0.66 biotaenvironmentUAVunmanned aerial vehiclewildfire
• Estimating fuel moisture in grasslands using UAV-mounted infrared and visible light sensors: Field data
  This data publication consists of the weight before and after drying, along with other relevant information, of 120 grass plots at the Mazama Meadows site near Olympia, Washington on 09/22/2020. Each plot was destructively sampled and broken into three sample …
  datacite US Department of Agriculture, US Forest Service 2026 置信度 0.66 biotaenvironmentUAVunmanned aerial vehiclewildfire
• SLIPT-Enabled Ground-to-UAV FSO Systems with Optical Reconfigurable Intelligent Surfaces
  This paper proposes an optical reconfigurable intelligent surface (ORIS)-assisted ground-to-unmanned aerial vehicle (UAV) free-space optical (FSO) communication system empowered by simultaneous lightwave information and power transfer (SLIPT). To overcome the …
  datacite Sugiyama, Luna, Trinh, Phuc V., Sugiura, Shinya 2026 置信度 0.66 Signal Processing (eess.SP)FOS: Electrical engineering, electronic engineering, information engineering
• Estimating fuel moisture in grasslands using UAV-mounted infrared and visible light sensors: Tau remote sensing data
  This data publication consists of the complete set of raw images, orthomosaics created from these images, and ground control points (GCPs) from two unmanned aerial vehicle (UAV) flights over the Mazama Meadows site near Olympia, Washington on 09/22/2020. There…
  datacite US Department of Agriculture, US Forest Service 2026 置信度 0.66 biotaenvironmentUAVunmanned aerial vehiclewildfire
• Estimating fuel moisture in grasslands using UAV-mounted infrared and visible light sensors: Tau remote sensing data
  This data publication consists of the complete set of raw images, orthomosaics created from these images, and ground control points (GCPs) from two unmanned aerial vehicle (UAV) flights over the Mazama Meadows site near Olympia, Washington on 09/22/2020. There…
  datacite US Department of Agriculture, US Forest Service 2026 置信度 0.66 biotaenvironmentUAVunmanned aerial vehiclewildfire
• Estimating fuel moisture in grasslands using UAV-mounted infrared and visible light sensors: MicaSense remote sensing data
  This data publication consists of the complete set of raw images, orthomosaics created from these images, and ground control points (GCPs) from two unmanned aerial vehicle (UAV) flights over the Mazama Meadows site near Olympia, Washington on 09/22/2020. There…
  datacite US Department of Agriculture, US Forest Service 2026 置信度 0.66 biotaenvironmentUAVunmanned aerial vehiclewildfire
• Estimating fuel moisture in grasslands using UAV-mounted infrared and visible light sensors: MicaSense remote sensing data
  This data publication consists of the complete set of raw images, orthomosaics created from these images, and ground control points (GCPs) from two unmanned aerial vehicle (UAV) flights over the Mazama Meadows site near Olympia, Washington on 09/22/2020. There…
  datacite US Department of Agriculture, US Forest Service 2026 置信度 0.66 biotaenvironmentUAVunmanned aerial vehiclewildfire
• Benchmarking UAV-based Vehicle Re-Identification under Simulated Weather Conditions
  UAV-based vehicle re-identification (ReID) has emerged as a promising technique for traffic surveillance, urban monitoring, and public-safety applications thanks to the flexible viewpoints and wide-area coverage provided by unmanned aerial vehicles. However, d…
  datacite Tran, Vu Minh, Nguyen, Khang 2026 置信度 0.66 Computer Vision and Pattern Recognition (cs.CV)FOS: Computer and information sciences
• Drone-Based Antenna Measurement System with Optimized Positioning and ASPIRE-Based NF-FF Transformation
  Unmanned Aerial Vehicle (UAV)-based antenna measurement systems provide a flexible and cost-effective alternative to conventional antenna test ranges for characterizing large and installed antennas. However, their accuracy depends on precise UAV positioning an…
  datacite Singh, Simranjit, Jadav, Abha Nilesh, Patel, Aarish Dharmesh, Jaswant 等 2026 置信度 0.66 Signal Processing (eess.SP)FOS: Electrical engineering, electronic engineering, information engineering
• Real-Time Environmental Monitoring Dashboard and Multi-Modal AI Detection System for Marine Oil and Gas Facilities
  Abstract: Marine oil and gas infrastructures are continuously exposed to the risk of hydrocarbon spills, necessitating rapid, automated surveillance frameworks to mitigate ecological catastrophes. This paper presents a multi-modal, automated real-time environm…
  datacite Nkue Dumka, Emmanuel Iwok Essien, Uliang Ibia Ibia, AniebietAbasi Prosper Daniel 等 2026 置信度 0.66 Oil Spill DetectionYou Only Look Once (YOLO)Internet of a Things (IoT)Multi-Modal FusionRemote Sensing
• Real-Time Environmental Monitoring Dashboard and Multi-Modal AI Detection System for Marine Oil and Gas Facilities
  Abstract: Marine oil and gas infrastructures are continuously exposed to the risk of hydrocarbon spills, necessitating rapid, automated surveillance frameworks to mitigate ecological catastrophes. This paper presents a multi-modal, automated real-time environm…
  datacite Nkue Dumka, Emmanuel Iwok Essien, Uliang Ibia Ibia, AniebietAbasi Prosper Daniel 等 2026 置信度 0.66 Oil Spill DetectionYou Only Look Once (YOLO)Internet of a Things (IoT)Multi-Modal FusionRemote Sensing
• Derived data for an integrated UAV-SfM and deep-learning workflow for Polat Lake (Eastern Anatolia)
  This dataset contains the derived geospatial products, trained machine-learning model, source code and figure-source data accompanying the article "An Integrated Unmanned Aerial Vehicle Structure-from-Motion and Deep-Learning Workflow for Geomorphometric and R…
  datacite taş, mehmet akif, Polat, Pınar , Çelik, Yakup , Tagliasacchi, Ezher 2026 置信度 0.66 HydrologyGeomorphologyMachine Learning
• AI- and data science-driven decision support
  Early product creation involves decision-making under uncertainty, driven by heterogeneous customer inputs, multidisciplinary dependencies, and iterative stakeholder coordination. Translating informal customer needs into precise system definitions remains a si…
  datacite Tatschl, Michael, Schalk, Gerolf, Hick, Hannes 2026 置信度 0.66
• Mobile Base Station Optimal Tour in Wide Area IoT Sensor Networks
  Wide-area IoT sensor networks require efficient data collection mechanisms when sensors are dispersed over large regions with limited communication infrastructure. Unmanned aerial vehicle (UAV)-mounted Mobile Base Stations (MBSs) provide a flexible solution; h…
  datacite Kadam, Sachin 2026 置信度 0.66 Networking and Internet Architecture (cs.NI)Signal Processing (eess.SP)FOS: Computer and information sciencesFOS: Electrical engineering, electronic engineering, information engineering
• UAVIDS-2025: A Benchmark Dataset for Intrusion Detection in UAV Networks Using Machine Learning Techniques
  UAVIDS-2025 is a comprehensive benchmark dataset designed for evaluating intrusion detection systems (IDS) in UAV (Unmanned Aerial Vehicle) swarm networks. The dataset was generated through extensive simulations using the NS-3.24 network simulator, with realis…
  datacite Zeng, Qingli, Bashir, Abdalrahman, Nait-Abdesselam, Farid 2025 置信度 0.66
• UAVIDS-2025: A Benchmark Dataset for Intrusion Detection in UAV Networks Using Machine Learning Techniques
  UAVIDS-2025 is a comprehensive benchmark dataset designed for evaluating intrusion detection systems (IDS) in UAV (Unmanned Aerial Vehicle) swarm networks. The dataset was generated through extensive simulations using the NS-3.24 network simulator, with realis…
  datacite Zeng, Qingli, Bashir, Abdalrahman, Nait-Abdesselam, Farid 2025 置信度 0.66
• MAVHoney-D46: A 46-Day Multi-Continental Dataset of Real-World Attack Traffic Against MAVLink-Based UAV Communication
  This dataset presents MAVHoney-D46, a publicly available dataset of real-world network traffic targeting MAVLink-based unmanned aerial vehicle (UAV) ground control stations (GCS). The dataset was collected over 46 days (April 16 – May 31, 2026) using three geo…
  datacite Mewundi, Sapna Vikram, Medaramitla, Prajwal Chowdary, Honnavalli, Prasad B. 2026 置信度 0.66
• Hot-Spot Formation in Cu(In,Ga)Se2 Thin Film Solar Cells
  Photovoltaic (PV) modules are susceptible to reliability concerns under reverse bias conditions, particularly when subjected to partial shading. When a solar cell is shaded, it generates less current than its unshaded counterparts, causing excess current to fl…
  datacite Nofal, Suheir 2026 置信度 0.66
• LNN-Fly: Continuous-Time UAV Navigation for Robust Obstacle Avoidance under Timing Mismatch
  End-to-end unmanned aerial vehicle (UAV) navigation can achieve impressive agility in simulation, yet its obstacle-avoidance behavior often degrades after deployment because the policy must tolerate simulator mismatch, sensing irregularity, and variable-rate c…
  datacite Huang, Yulin, Chen, Shaojie, Feng, Di, Wang, Jiahao 等 2026 置信度 0.66 Robotics (cs.RO)FOS: Computer and information sciencesI.2.9; I.2.6; I.2.8
• Ague Cove Thermal Infrared Mapping (April 25, 2026 20:54-21:13)
  This dataset was obtained using FLIR Vue TZ20R mounted on DJI Matrice 300 UAV in Ague Cove, Guam on April 25, 2026 from 8:54 PM to 9:13 PM (ChST) and includes raw unprocessed (1) thermal infrared images taken at 135 feet above ground level, (2) thermal infrare…
  datacite Mendiola, Melanie 2026 置信度 0.66
• Ague Cove Thermal Infrared Mapping (April 25, 2026 20:54-21:13)
  This dataset was obtained using FLIR Vue TZ20R mounted on DJI Matrice 300 UAV in Ague Cove, Guam on April 25, 2026 from 8:54 PM to 9:13 PM (ChST) and includes raw unprocessed (1) thermal infrared images taken at 135 feet above ground level, (2) thermal infrare…
  datacite Mendiola, Melanie 2026 置信度 0.66
• Enhancing Secret Key Generation for UAV Communications via Codeword Reconstruction
  With the rapid advancement of unmanned aerial vehicle (UAV), ensuring the security of communication links among UAVs has become crucial. In this paper, we propose a novel physical layer key generation scheme based on channel codeword reconstruction. In UAV com…
  datacite Wang, Yizhuo, Du, Qinghe, Shen, Ning, Zhang, Shijiao 等 2026 置信度 0.66 Information Theory (cs.IT)Systems and Control (eess.SY)FOS: Computer and information sciencesFOS: Computer and information sciencesFOS: Electrical engineering, electronic engineering, information engineering
• Game-Theoretic Multi-Agent Reinforcement Learning for Swarm Trajectory Planning in Low-Altitude Wireless Networks
  The Low-Altitude Economy (LAE) is rapidly expanding, giving rise to low-altitude wireless networks (LAWNs), where large-scale cellular-connected unmanned aerial vehicle (UAV) deployments support heterogeneous mission-critical applications over multi-cell groun…
  datacite Quang, Nguyen Duc Minh, Chong, Ruoxi, Wei, Zhiqiang, Liu, Chang 等 2026 置信度 0.66 Computer Science and Game Theory (cs.GT)FOS: Computer and information sciencesFOS: Computer and information sciences
• Camp Swift Fire Experiment 2014: Active fire unmanned aerial vehicle (UAV) infrared aerial imagery and video
  This data publication contains active-fire infrared (IR) videos and georeferenced individual video frames collected as part of a prescribed fire research campaign conducted at the Camp Swift Military Base in Bastrop County, Texas on January 15, 2014. The Camp …
  datacite US Department of Agriculture, US Forest Service 2026 置信度 0.66 environmentbiotaimageryBaseMapsEarthCoverremote sensingaerial imagery
• Camp Swift Fire Experiment 2014: Active fire unmanned aerial vehicle (UAV) infrared aerial imagery and video
  This data publication contains active-fire infrared (IR) videos and georeferenced individual video frames collected as part of a prescribed fire research campaign conducted at the Camp Swift Military Base in Bastrop County, Texas on January 15, 2014. The Camp …
  datacite US Department of Agriculture, US Forest Service 2026 置信度 0.66 environmentbiotaimageryBaseMapsEarthCoverremote sensingaerial imagery
• Camp Swift Fire Experiment 2014: Active fire unmanned aerial vehicle (UAV) electro-optical aerial imagery and video
  This data publication contains active-fire electro-optical (EO) videos and georeferenced individual video frames collected as part of a prescribed fire research campaign conducted at the Camp Swift Military Base in Bastrop County, Texas on January 15, 2014. Th…
  datacite US Department of Agriculture, US Forest Service 2026 置信度 0.66 environmentbiotaimageryBaseMapsEarthCoverremote sensingaerial imagery
• Camp Swift Fire Experiment 2014: Active fire unmanned aerial vehicle (UAV) electro-optical aerial imagery and video
  This data publication contains active-fire electro-optical (EO) videos and georeferenced individual video frames collected as part of a prescribed fire research campaign conducted at the Camp Swift Military Base in Bastrop County, Texas on January 15, 2014. Th…
  datacite US Department of Agriculture, US Forest Service 2026 置信度 0.66 environmentbiotaimageryBaseMapsEarthCoverremote sensingaerial imagery
• Camp Swift Fire Experiment 2014: Post-fire unmanned aerial vehicle (UAV) imagery
  This data publication contains raw and georeferenced post-fire aerial imagery collected as part of a prescribed fire research campaign conducted at the Camp Swift Military Base in Bastrop County, Texas on January 15, 2014. The Camp Swift Fire Experiment 2014 c…
  datacite US Department of Agriculture, US Forest Service 2026 置信度 0.66 environmentbiotaimageryBaseMapsEarthCovermultispectralaerial imagery
• Camp Swift Fire Experiment 2014: Post-fire unmanned aerial vehicle (UAV) imagery
  This data publication contains raw and georeferenced post-fire aerial imagery collected as part of a prescribed fire research campaign conducted at the Camp Swift Military Base in Bastrop County, Texas on January 15, 2014. The Camp Swift Fire Experiment 2014 c…
  datacite US Department of Agriculture, US Forest Service 2026 置信度 0.66 environmentbiotaimageryBaseMapsEarthCovermultispectralaerial imagery
• Camp Swift Fire Experiment 2014: Pre-fire unmanned aerial vehicle (UAV) imagery
  This data publication contains raw and georeferenced pre-fire aerial imagery collected as part of a prescribed fire research campaign conducted at the Camp Swift Military Base in Bastrop County, Texas on January 15, 2014. The Camp Swift Fire Experiment 2014 co…
  datacite US Department of Agriculture, US Forest Service 2026 置信度 0.66 environmentbiotaimageryBaseMapsEarthCoverUASJFSP
• Camp Swift Fire Experiment 2014: Pre-fire unmanned aerial vehicle (UAV) imagery
  This data publication contains raw and georeferenced pre-fire aerial imagery collected as part of a prescribed fire research campaign conducted at the Camp Swift Military Base in Bastrop County, Texas on January 15, 2014. The Camp Swift Fire Experiment 2014 co…
  datacite US Department of Agriculture, US Forest Service 2026 置信度 0.66 environmentbiotaimageryBaseMapsEarthCoverUASJFSP
• Estimating fuel moisture in grasslands using UAV-mounted infrared and visible light sensors: MicaSense remote sensing data
  This data publication consists of the complete set of raw images, orthomosaics created from these images, and ground control points (GCPs) from two unmanned aerial vehicle (UAV) flights over the Mazama Meadows site near Olympia, Washington on 09/22/2020. There…
  datacite US Department of Agriculture, US Forest Service 2026 置信度 0.66 biotaenvironmentUAVunmanned aerial vehiclewildfire
• Estimating fuel moisture in grasslands using UAV-mounted infrared and visible light sensors: Tau remote sensing data
  This data publication consists of the complete set of raw images, orthomosaics created from these images, and ground control points (GCPs) from two unmanned aerial vehicle (UAV) flights over the Mazama Meadows site near Olympia, Washington on 09/22/2020. There…
  datacite US Department of Agriculture, US Forest Service 2026 置信度 0.66 biotaenvironmentUAVunmanned aerial vehiclewildfire
• Estimating fuel moisture in grasslands using UAV-mounted infrared and visible light sensors: Field data
  This data publication consists of the weight before and after drying, along with other relevant information, of 120 grass plots at the Mazama Meadows site near Olympia, Washington on 09/22/2020. Each plot was destructively sampled and broken into three sample …
  datacite US Department of Agriculture, US Forest Service 2026 置信度 0.66 biotaenvironmentUAVunmanned aerial vehiclewildfire
• Datasets of synthetic workflows for evaluating a multi-objective and multi-constrained scheduling approach for cyber-physical applications
  These datasets of synthetic workflows (task graphs) were generated to evaluate the performance and scalability of a multi-objective and multi-constrained scheduling approach for workflow applications of various structures, sizes, and sensing/actuating requirem…
  datacite Kouloumpris, Andreas, Stavrinides, Georgios L., Michael, Maria K., Theocharides, Theocharis 2024 置信度 0.66 Cyber-physical systemsSchedulingEdge-cloud continuumMulti-objective optimizationWorkflow applications
• Datasets of synthetic workflows for evaluating a multi-objective and multi-constrained scheduling approach for cyber-physical applications
  These datasets of synthetic workflows (task graphs) were generated to evaluate the performance and scalability of a multi-objective and multi-constrained scheduling approach for workflow applications of various structures, sizes, and sensing/actuating requirem…
  datacite Kouloumpris, Andreas, Stavrinides, Georgios L., Michael, Maria K., Theocharides, Theocharis 2024 置信度 0.66 Cyber-physical systemsSchedulingEdge-cloud continuumMulti-objective optimizationWorkflow applications
• Datasets of synthetic task graphs for evaluating a reliability and latency multi-objective task allocation framework
  These datasets of synthetic task graphs were generated to evaluate the performance and scalability of a multi-objective task allocation approach for workflow applications of various structures and sizes in a system based on the edge-hub-cloud paradigm. The tar…
  datacite Kouloumpris, Andreas, Stavrinides, Georgios L., Michael, Maria K., Theocharides, Theocharis 2023 置信度 0.66 Multi-objective optimizationtask allocationreliabilitylatencyworkflow application
• Datasets of synthetic task graphs for evaluating a reliability and latency multi-objective task allocation framework
  These datasets of synthetic task graphs were generated to evaluate the performance and scalability of a multi-objective task allocation approach for workflow applications of various structures and sizes in a system based on the edge-hub-cloud paradigm. The tar…
  datacite Kouloumpris, Andreas, Stavrinides, Georgios L., Michael, Maria K., Theocharides, Theocharis 2023 置信度 0.66 Multi-objective optimizationtask allocationreliabilitylatencyworkflow application
• Ague Cove Thermal Infrared Mapping (May 31, 2026 01:35-01:45)
  This dataset was obtained using FLIR Vue TZ20R mounted on DJI Matrice 300 UAV in Ague Cove, Guam on May 31, 2026 from 01:35 to 01:45 (ChST) and includes raw unprocessed (1) thermal infrared images taken at 135 feet above ground level and (2) thermal infrared i…
  datacite Mendiola, Melanie 2026 置信度 0.66
• Ague Cove Thermal Infrared Mapping (May 31, 2026 01:35-01:45)
  This dataset was obtained using FLIR Vue TZ20R mounted on DJI Matrice 300 UAV in Ague Cove, Guam on May 31, 2026 from 01:35 to 01:45 (ChST) and includes raw unprocessed (1) thermal infrared images taken at 135 feet above ground level and (2) thermal infrared i…
  datacite Mendiola, Melanie 2026 置信度 0.66
• Ague Cove Thermal Infrared Mapping (May 30, 2026 23:35-23:48)
  This dataset was obtained using FLIR Vue TZ20R mounted on DJI Matrice 300 UAV in Ague Cove, Guam on May 30, 2026 from 23:35 to 23:48 (ChST) and includes raw unprocessed (1) thermal infrared images taken at 135 feet above ground level and (2) thermal infrared i…
  datacite Mendiola, Melanie 2026 置信度 0.66
• Ague Cove Thermal Infrared Mapping (May 30, 2026 23:35-23:48)
  This dataset was obtained using FLIR Vue TZ20R mounted on DJI Matrice 300 UAV in Ague Cove, Guam on May 30, 2026 from 23:35 to 23:48 (ChST) and includes raw unprocessed (1) thermal infrared images taken at 135 feet above ground level and (2) thermal infrared i…
  datacite Mendiola, Melanie 2026 置信度 0.66
• Ague Cove Thermal Infrared Mapping (May 30, 2026 20:51-20:59)
  This dataset was obtained using FLIR Vue TZ20R mounted on DJI Matrice 300 UAV in Ague Cove, Guam on May 30, 2026 from 20:51 to 20:59 (ChST) and includes raw unprocessed (1) thermal infrared images taken at 135 feet above ground level and (2) thermal infrared i…
  datacite Mendiola, Melanie 2026 置信度 0.66
• Ague Cove Thermal Infrared Mapping (May 30, 2026 20:51-20:59)
  This dataset was obtained using FLIR Vue TZ20R mounted on DJI Matrice 300 UAV in Ague Cove, Guam on May 30, 2026 from 20:51 to 20:59 (ChST) and includes raw unprocessed (1) thermal infrared images taken at 135 feet above ground level and (2) thermal infrared i…
  datacite Mendiola, Melanie 2026 置信度 0.66
• Unmanned Microgravity Automated Aerial Vehicle (UMAAV) Development and Testing
  crossref Henry P. Coyle, Douglas A. Herr 2026-06-04T17:45:42Z 置信度 0.70
• Real-Time Vehicle Detection and Enumeration Using Unmanned Aerial Systems
  crossref Adeel Khalid, Owais Ahmed, Ethan Debeb 2026-06-04T17:45:42Z 置信度 0.70
• Calibration and Research of Unmanned Aerial Vehicle Sensors
  This paper focuses on the multi-sensor calibration problem in unmanned aerial vehicle obstacle-avoidance systems, systematically analysing the error characteristics and modelling differences among lidar, vision sensors, ultrasonic sensors, and millimetre-wave …
  crossref Qianhao Xu 2026-08-19T07:54:39Z 置信度 0.70
• Digital Forensics Issues of Unmanned Aerial Vehicle Operations
  Recently, Unmanned Aerial Vehicles (UAVs) have become increasingly important in everyday life. It’s possible to see their use in different fields, including agriculture, photography, surveillance, rescue operations, etc. However, as their use grows, concerns a…
  crossref Orkhan Valikhanli 2026-08-20T10:11:06Z 置信度 0.70
• Conceptual Sizing, Mission Design & Vehicle Engineering for a Supersonic Unmanned Combat Aerial Vehicle
  crossref Mayank Kumar, Devesh Mittal, Sree Baruni Muriki, Pradyumna Mangal 等 2026-06-04T17:45:42Z 置信度 0.70
• A high-speed adaptive observer for correcting the navigation system of a small unmanned aerial vehicle
  The navigation system of a small unmanned aerial vehicle is considered. The accuracy of navigation parameters is improved by correcting the output signal. For this purpose linear or nonlinear estimation algorithms are used in the navigation system, which have …
  crossref Fam S.F. 2026-04-28T06:45:19Z 置信度 0.70
• Physical Layer Security with RIS-Assisted UAV Communication
  crossref Xiaowei Pang, Weidang Lu, Nan Zhao 2026-05-18T14:15:03Z 置信度 0.70
• Autonomous navigation and path planning in an unmanned aerial vehicle using model predictive control
  crossref Amit Yadav, Lava Bhargava 2026-08-27T13:00:11Z 置信度 0.70
• Design and Analysis of Solar-Powered Unmanned Aerial Vehicle for Tropical Countries
  As a tropical country, Indonesia has unlimited source of solar energy. This advantage can be used to increase the performance of mini unmanned aerial vehicles (i.e., its endurance or flight time without adding significant mass or increasing the size of the fue…
  crossref Prasetyo Edi 2026-07-16T06:23:39Z 置信度 0.70
• Machine Learning-Driven Optimization of Unmanned Aerial Vehicle Operations
  crossref Sachin Bandewar, Durgesh Nandan 2026-08-07T19:13:55Z 置信度 0.70
• Design and Energy Management of Electric Fan Motorized (EDF) VTOL Unmanned Aerial Vehicle
  crossref H.F. Celik, O.E. Vatandas 2026-05-13T08:08:20Z 置信度 0.70
• Intelligent transportation monitoring through unmanned aerial vehicle-centric system of systems engineering
  crossref Murat Bakirci 2026-07-24T08:29:18Z 置信度 0.70
• Research on Intelligent Traffic Inspection Applications Based on Unmanned Aerial Vehicle Imaging
  crossref 2026-08-27T09:09:32Z 置信度 0.70
• Design of Switched Reluctance Motor for Unmanned Aerial Vehicle Applications
  crossref Ulas Duran, Yusuf Yasa 2026-07-14T19:39:06Z 置信度 0.70
• Time-varying dynamic modeling and trajectory tracking control for variable-load unmanned aerial vehicle
  crossref 2025-10-14T05:10:11Z 置信度 0.70
• Transition Mode Hybrid Control Strategy for Tiltrotor Unmanned Aerial Vehicle
  crossref Rui Yang, Changping Du, Jiahao Yu, Tianrui Fang 等 2026-08-04T21:36:49Z 置信度 0.70
• Hybrid Sliding Mode Tracking Control of Quadrotor Unmanned Aerial Vehicle
  crossref Jun-Ke Wang, Jing-Jing Xiong 2026-06-24T19:47:19Z 置信度 0.70
• Floating electrode triboelectric nanogenerators for unmanned aerial vehicle status monitoring
  To address challenges in low altitude aircraft condition monitoring, such as traditional sensors' reliance on external power sources, complex wiring, and excessive weight, this paper proposes floating electrode self-powered sensors based on triboelect…
  crossref Hongchun Luo, Yusheng Zheng, Yingxuan Cui, Jiayi Liu 等 2026-04-13T17:45:19Z 置信度 0.70
• Determining the Factors Affecting Competitiveness in Unmanned Aerial Vehicle Trade
  Unmanned Aerial Vehicles (UAVs) have the potential to be game-changers on battlefields that have proved, such as the Russo-Ukrainian War and the Second Nagorno-Karabakh War. When investigated from an economic perspective, the UAV industry creates a spillover e…
  crossref Erdem Ateş, Üzeyir Aydın 2026-07-31T08:30:15Z 置信度 0.70
• Evaluation of Flood Emergency Remote Sensing Monitoring Effectiveness based on Unmanned Aerial Vehicle Swarm
  UAV remote sensing technology is widely utilized in urban supervision, flood monitoring, and various other fields. The Key of flood emergency monitoring is to obtain the early warning information of dam leakage in time. Although the UAV swarms can better cope …
  crossref Yu Zhe, Lu Wenjing 2026-08-21T21:33:08Z 置信度 0.70
• Recent Advances for Generative AI-Enabled Unmanned Aerial Vehicle Systems and Applicable Technologies
  Unmanned Aerial Vehicles (UAVs) have been key platforms to perform sensing, analytics and automation across intelligent transportation, construction, smart agriculture, logistics and defense. Generative AI (GenAI) accelerates intelligence of UAVs by creating s…
  crossref Hyunbum Kim 2026-04-16T11:35:42Z 置信度 0.70
• Energy-Efficient Resource Allocation in RIS-Assisted UAV Communication
  crossref Muhammad Ammad Awan, Muhammad Kamran, Ayaz Ahmad 2026-05-18T14:14:24Z 置信度 0.70
• Q-learning-based energy management for fuel cell unmanned aerial vehicle considering multiple air pressure scenarios
  Fuel cell hybrid unmanned aerial vehicles are currently being applied in various fields such as environmental surveying and resource transportation, and they have great potential for development. However, the operational performance and efficiency of drones la…
  crossref Huan Wu, Yunlong Wang, Yongfu Wang 2026-08-16T04:43:46Z 置信度 0.70
• Research on unmanned aerial vehicle exposure risk assessment based on trajectory and speed
  crossref Yuanwen Chen, Wei Xu, Shuangchao Xu, Zhangying Peng 2026-08-28T14:18:07Z 置信度 0.70
• Monitoring in mine land survey by unmanned aerial vehicle oblique photography technology
  crossref Shaoyan You 2026-04-28T13:01:21Z 置信度 0.70
• ENTROPY-GUIDED TRACKER SWITCHING METHOD FOR UNMANNED AERIAL VEHICLE REAL-TIME TRACKING
  crossref Volodymyr Oleksiuk, Serhiy Velhosh 2026-04-02T19:29:37Z 置信度 0.70
• Intelligent Analysis of Urban Green Zones Based on Unmanned Aerial Vehicle Data
  crossref Ravshan Shirinboyev, Shavkat Akhralov, Asror Ulashev 2026-04-27T19:47:39Z 置信度 0.70
• Hybrid Multi-Target 3D Path Planning Algorithm for Unmanned Aerial Vehicle
  crossref Kui Liu, Qingbo Geng, Fengqing Xian 2026-06-24T19:47:19Z 置信度 0.70
• Path search planning for unmanned aerial vehicle clusters in communication interference environments
  crossref Haoyang Li, Xiangke Wang 2026-04-30T07:02:16Z 置信度 0.70
• Reflection Co-efficient Optimization for Sum-Rate Enhancement in RIS-Assisted UAV Communications
  crossref Maham Misbah, Zeeshan Kaleem 2026-05-18T14:14:54Z 置信度 0.70