3

3D point cloud

• On Voxel-Based Sampling of Planar Surface Areas from Photogrammetric UAV Data, pages 255–262

3D reconstruction

• Marine Debris Monitoring on Uninhabited Islands Using UAV-Based 3D Modeling, pages 299–304

A

AI in Geomatics

• An Automated Framework for Cadastral Parcel Adjustment Using UAV Orthophotos, SAM, and ICP, pages 277–284

Advanced Air Mobility (AAM)

• Addressing GNSS Vulnerabilities in AAM: A Multi-Modal UAV Testbed for Redundant and Reliable Navigation, pages 211–218

AgriTech

• Integrating UAS, Computer Vision and AI for Targeted Management of Invasive Insect Pests in Vineyards, pages 63–71

Airplane

• Differentiating Acute and Chronic Stress in Norway Spruce using Hyperspectral and Thermal Remote Sensing in Experimental Plots, pages 133–138

Autonomous Exploration

• ResQDrone: Autonomous Indoor Quadcopter for Multi-Layered Mapping in Crisis and Disaster Management Scenarios, pages 47–54

Autonomous flying

• Evaluating the performance of a lidar-based autonomous flying system for flying inside forest, pages 153–160

Autonomous navigation

• Autonomous Drone Navigation in Forest Environments Using Deep Learning, pages 87–93

aerial imaging

• Determining the Amount of Crop Residue Cover Using Image Analysis, pages 7–12

agriculture

• Optimizing high-resolution multi-view drone imaging for detecting foreign grains in gluten-free oat production fields, pages 235–240

automation

• Under-canopy UAV Solutions for Forest Inventory – Challenges and Opportunities, pages 183–188

B

Bark Beetle

• Domain Generalization in Deep Learning for Forest Health Monitoring Using Multispectral UAS Data, pages 285–291

Bark beetle

• A Multiview UAV Imagery-Based Method for Assessing Spruce Tree Health at the Individual Tree Level, pages 13–18
• Differentiating Acute and Chronic Stress in Norway Spruce using Hyperspectral and Thermal Remote Sensing in Experimental Plots, pages 133–138

Biomass

• Evaluation of forage grass biomass estimation models using multispectral drone imaging across multiple sites, pages 241–246

Boreal Forest Vitality

• Mapping Boreal Forest Vitality Using Drone-Based Multispectral Time-Series and Object-Based Classification, pages 81–86

Bundle Adjustment

• Robust UAV Image Mosaicking Using SIFT and LightGlue, pages 169–175

Bundle adjustment

• Marine Debris Monitoring on Uninhabited Islands Using UAV-Based 3D Modeling, pages 299–304

behaviors

• How the engineering of Swarming Behaviors could be drawing on Social Sciences, pages 119–126

biomass

• Applying UAV-based crop height to monitor biomass, N-concentration, and N-uptake in winter wheat, pages 19–24
• Deriving structural and biochemical crop traits from one UAV sensor: Investigating a multiband VNIR/SWIR imaging system for crop trait monitoring, pages 145–152

boresight misalignment

• Misalignment estimation of a lightweight laser scanning system with static calibration, pages 189–194

bridge inspection

• ORBIT: Optimized Routing for Bridge Inspection Toolkit. An open-source UAS flight path planning tool for comprehensive bridge inspections under realistic constraints, pages 25–32

C

Cadastral Mapping

• An Automated Framework for Cadastral Parcel Adjustment Using UAV Orthophotos, SAM, and ICP, pages 277–284

Canopy Openness

• Remote Sensing Upside Down: Exploring the Potential of Ground-Based Multispectral Cameras for Tree Crown Monitoring, pages 95–102

Citrus orchard

• Assessment of tree detection and segmentation pipelines for terrestrial laser scanning dataset of orange orchards, pages 39–46

Computer Vision

• Integrating UAS, Computer Vision and AI for Targeted Management of Invasive Insect Pests in Vineyards, pages 63–71

Crack Segmentation

• Exploring the Potential of Super-Resolution for Crack Analysis in UAV Facade Orthomosaics of Small Bridges, pages 139–144

Crisis and Disaster Management

• ResQDrone: Autonomous Indoor Quadcopter for Multi-Layered Mapping in Crisis and Disaster Management Scenarios, pages 47–54
• Advancements on Semantic Real-Time UAV Mapping, pages 111–118

Cultural Heritage

• UAS for Landscape and Architectural Survey: An Innovative Interdisciplinary Approach of Learning by Doing in the Bachelor Programs at Politecnico di Torino, pages 195–202

camera calibration

• Precise Georeferencing of RGB and Multispectral Drone Images without Ground Control Points, pages 103–109

chlorophyll-a

• Chlorophyll-a and Turbidity estimation using UAV imagery and machine learning in a tropical eutrophic reservoir, pages 263–268

climate change

• UAV and AI for large-scale monitoring of the effects of climate change on mountain lake areas: the ACLIMO cross-border cooperation project, pages 203–210

clustering

• Optimizing high-resolution multi-view drone imaging for detecting foreign grains in gluten-free oat production fields, pages 235–240

complex systems

• How the engineering of Swarming Behaviors could be drawing on Social Sciences, pages 119–126

crop

• Applying UAV-based crop height to monitor biomass, N-concentration, and N-uptake in winter wheat, pages 19–24

crop height

• Deriving structural and biochemical crop traits from one UAV sensor: Investigating a multiband VNIR/SWIR imaging system for crop trait monitoring, pages 145–152

crop residue

• Determining the Amount of Crop Residue Cover Using Image Analysis, pages 7–12

D

DBH estimation

• Under-Canopy UAV Global Path Planning for Tree DBH Estimation Using LiDAR, pages 55–61

Deep Learning

• Combining soft robotics and active-laser induced fluorescence for environmental monitoring: Evaluating the drone-scenario of the I-Seed project, pages 177–182
• Tree Species Classification Using Majority Voting Approach on UAV Raw Images, pages 219–225
• Domain Generalization in Deep Learning for Forest Health Monitoring Using Multispectral UAS Data, pages 285–291

Deep learning

• A Multiview UAV Imagery-Based Method for Assessing Spruce Tree Health at the Individual Tree Level, pages 13–18

Digital Surface Model

• Advancements on Semantic Real-Time UAV Mapping, pages 111–118

Digital agriculture

• Assessment of tree detection and segmentation pipelines for terrestrial laser scanning dataset of orange orchards, pages 39–46

Distance-based machine-learning

• Smart Drones, Smarter Learning: Federated Self-learning Minimal Learning Machine Classifier for Real-Time Hyperspectral Image Classification, pages 247–253

Domain Generalization

• Domain Generalization in Deep Learning for Forest Health Monitoring Using Multispectral UAS Data, pages 285–291

Drone

• Precise Georeferencing of RGB and Multispectral Drone Images without Ground Control Points, pages 103–109

Drone Swarms

• Swarm Intelligence and Systems Thinking: Finding Common Ground for the Engineering of Drone Swarms Solutions, pages 161–168

Drone swarm in wildfire

• Bimodal MorphoCopter for Wildfire Suppression: Transforming Quadcopters to All-Terrain-Vehicles (ATV), pages 1–6

deep learning

• Autonomous Drone Navigation in Forest Environments Using Deep Learning, pages 87–93
• Optimizing high-resolution multi-view drone imaging for detecting foreign grains in gluten-free oat production fields, pages 235–240

drone

• Optimizing high-resolution multi-view drone imaging for detecting foreign grains in gluten-free oat production fields, pages 235–240

E

Earth Observation

• Real time solar panels heat point’s detection with EDGE ViTs using thermal drone imagery, pages 127–132

Emerging Mobility Technology

• A Collaborative GIS for Planning of Urban Drone Launch and Landing Site Locations, pages 227–233

European spruce bark beetle

• Hyperspectral drone images indicate that green shoulder indices are robust in pre-emergence detection of spruce bark beetle infestation across spatial and temporal scales, pages 73–79

emergence

• How the engineering of Swarming Behaviors could be drawing on Social Sciences, pages 119–126

eutrophic reservoir

• Chlorophyll-a and Turbidity estimation using UAV imagery and machine learning in a tropical eutrophic reservoir, pages 263–268

F

Facade Orthomosaic

• Exploring the Potential of Super-Resolution for Crack Analysis in UAV Facade Orthomosaics of Small Bridges, pages 139–144

Feature Matching

• Robust UAV Image Mosaicking Using SIFT and LightGlue, pages 169–175

Federated learning

• Smart Drones, Smarter Learning: Federated Self-learning Minimal Learning Machine Classifier for Real-Time Hyperspectral Image Classification, pages 247–253

Fire-ball dropping

• Bimodal MorphoCopter for Wildfire Suppression: Transforming Quadcopters to All-Terrain-Vehicles (ATV), pages 1–6

Firefighting drones

• Bimodal MorphoCopter for Wildfire Suppression: Transforming Quadcopters to All-Terrain-Vehicles (ATV), pages 1–6

Fluorescence Intensity Ratio (FIR)

• Combining soft robotics and active-laser induced fluorescence for environmental monitoring: Evaluating the drone-scenario of the I-Seed project, pages 177–182

Forest

• Remote Sensing Upside Down: Exploring the Potential of Ground-Based Multispectral Cameras for Tree Crown Monitoring, pages 95–102
• Evaluating the performance of a lidar-based autonomous flying system for flying inside forest, pages 153–160

Forest Health

• Mapping Boreal Forest Vitality Using Drone-Based Multispectral Time-Series and Object-Based Classification, pages 81–86

Forest inventory

• Under-Canopy UAV Global Path Planning for Tree DBH Estimation Using LiDAR, pages 55–61

flight path planning

• ORBIT: Optimized Routing for Bridge Inspection Toolkit. An open-source UAS flight path planning tool for comprehensive bridge inspections under realistic constraints, pages 25–32

forest damage

• Hyperspectral drone images indicate that green shoulder indices are robust in pre-emergence detection of spruce bark beetle infestation across spatial and temporal scales, pages 73–79

forest disturbance

• Hyperspectral drone images indicate that green shoulder indices are robust in pre-emergence detection of spruce bark beetle infestation across spatial and temporal scales, pages 73–79

forest environments

• Autonomous Drone Navigation in Forest Environments Using Deep Learning, pages 87–93

forest inventory

• Under-canopy UAV Solutions for Forest Inventory – Challenges and Opportunities, pages 183–188

G

GNSS

• Precise Georeferencing of RGB and Multispectral Drone Images without Ground Control Points, pages 103–109

Geo EDGE-AI

• Real time solar panels heat point’s detection with EDGE ViTs using thermal drone imagery, pages 127–132

GeoAI

• UAV and AI for large-scale monitoring of the effects of climate change on mountain lake areas: the ACLIMO cross-border cooperation project, pages 203–210

Geomatics

• UAS for Landscape and Architectural Survey: An Innovative Interdisciplinary Approach of Learning by Doing in the Bachelor Programs at Politecnico di Torino, pages 195–202

Grass

• Evaluation of forage grass biomass estimation models using multispectral drone imaging across multiple sites, pages 241–246

geo-localization

• Combining soft robotics and active-laser induced fluorescence for environmental monitoring: Evaluating the drone-scenario of the I-Seed project, pages 177–182

H

Hyperspectral

• Differentiating Acute and Chronic Stress in Norway Spruce using Hyperspectral and Thermal Remote Sensing in Experimental Plots, pages 133–138

height

• Applying UAV-based crop height to monitor biomass, N-concentration, and N-uptake in winter wheat, pages 19–24

hyperspectral image classification

• Smart Drones, Smarter Learning: Federated Self-learning Minimal Learning Machine Classifier for Real-Time Hyperspectral Image Classification, pages 247–253

I

Image Mosaic

• Robust UAV Image Mosaicking Using SIFT and LightGlue, pages 169–175

Individual Tree Detection

• Individual Tree Species Classification in a Mediterranean Ecosystem using UAV-Acquired Multispectral Images and Machine Learning, pages 269–276

Innovative Air Mobility

• A Collaborative GIS for Planning of Urban Drone Launch and Landing Site Locations, pages 227–233

Inverted slider crank mechanism

• Bimodal MorphoCopter for Wildfire Suppression: Transforming Quadcopters to All-Terrain-Vehicles (ATV), pages 1–6

Ips typographus

• Hyperspectral drone images indicate that green shoulder indices are robust in pre-emergence detection of spruce bark beetle infestation across spatial and temporal scales, pages 73–79

Iterative Closest Point (ICP)

• An Automated Framework for Cadastral Parcel Adjustment Using UAV Orthophotos, SAM, and ICP, pages 277–284

image orientation

• Precise Georeferencing of RGB and Multispectral Drone Images without Ground Control Points, pages 103–109

infrastructure monitoring

• ORBIT: Optimized Routing for Bridge Inspection Toolkit. An open-source UAS flight path planning tool for comprehensive bridge inspections under realistic constraints, pages 25–32

L

Land Parcel Adjustment

• An Automated Framework for Cadastral Parcel Adjustment Using UAV Orthophotos, SAM, and ICP, pages 277–284

Learning by Doing

• UAS for Landscape and Architectural Survey: An Innovative Interdisciplinary Approach of Learning by Doing in the Bachelor Programs at Politecnico di Torino, pages 195–202

LiDAR

• Assessment of tree detection and segmentation pipelines for terrestrial laser scanning dataset of orange orchards, pages 39–46
• Under-Canopy UAV Global Path Planning for Tree DBH Estimation Using LiDAR, pages 55–61
• Under-canopy UAV Solutions for Forest Inventory – Challenges and Opportunities, pages 183–188

LiDAR Intensity

• Detecting Root Rot Infected Norway Spruce Trees Using Multispectral and LiDAR UAV Data, pages 33–38

Lightglue

• Robust UAV Image Mosaicking Using SIFT and LightGlue, pages 169–175

Lightweight Laser Scanning System

• Misalignment estimation of a lightweight laser scanning system with static calibration, pages 189–194

laser scanning

• Under-canopy UAV Solutions for Forest Inventory – Challenges and Opportunities, pages 183–188

lidar

• Evaluating the performance of a lidar-based autonomous flying system for flying inside forest, pages 153–160

M

MOTS

• UAV-assisted Multi-Object Tracking and Segmentation of Apples under Occlusions in Orchard Settings, pages 293–298

Machine Learning

• Evaluation of forage grass biomass estimation models using multispectral drone imaging across multiple sites, pages 241–246

Majority voting

• Tree Species Classification Using Majority Voting Approach on UAV Raw Images, pages 219–225

Mapping

• ResQDrone: Autonomous Indoor Quadcopter for Multi-Layered Mapping in Crisis and Disaster Management Scenarios, pages 47–54
• Advancements on Semantic Real-Time UAV Mapping, pages 111–118

Marine debris

• Marine Debris Monitoring on Uninhabited Islands Using UAV-Based 3D Modeling, pages 299–304

Mediterranean Ecosystem

• Individual Tree Species Classification in a Mediterranean Ecosystem using UAV-Acquired Multispectral Images and Machine Learning, pages 269–276

Multi-modal Navigation

• Addressing GNSS Vulnerabilities in AAM: A Multi-Modal UAV Testbed for Redundant and Reliable Navigation, pages 211–218

Multispectral

• Evaluation of forage grass biomass estimation models using multispectral drone imaging across multiple sites, pages 241–246

Multispectral Imagery

• Domain Generalization in Deep Learning for Forest Health Monitoring Using Multispectral UAS Data, pages 285–291

Multispectral Imaging

• Detecting Root Rot Infected Norway Spruce Trees Using Multispectral and LiDAR UAV Data, pages 33–38

Multispectral data

• Individual Tree Species Classification in a Mediterranean Ecosystem using UAV-Acquired Multispectral Images and Machine Learning, pages 269–276

Multiview images

• A Multiview UAV Imagery-Based Method for Assessing Spruce Tree Health at the Individual Tree Level, pages 13–18

machine learning

• Chlorophyll-a and Turbidity estimation using UAV imagery and machine learning in a tropical eutrophic reservoir, pages 263–268

monitoring

• UAV and AI for large-scale monitoring of the effects of climate change on mountain lake areas: the ACLIMO cross-border cooperation project, pages 203–210

multi-view

• Optimizing high-resolution multi-view drone imaging for detecting foreign grains in gluten-free oat production fields, pages 235–240

multispectral

• Precise Georeferencing of RGB and Multispectral Drone Images without Ground Control Points, pages 103–109

multispectral imaging

• Determining the Amount of Crop Residue Cover Using Image Analysis, pages 7–12

N

NDVI

• Remote Sensing Upside Down: Exploring the Potential of Ground-Based Multispectral Cameras for Tree Crown Monitoring, pages 95–102

Norway spruce

• Differentiating Acute and Chronic Stress in Norway Spruce using Hyperspectral and Thermal Remote Sensing in Experimental Plots, pages 133–138

nitrogen concentration

• Applying UAV-based crop height to monitor biomass, N-concentration, and N-uptake in winter wheat, pages 19–24
• Deriving structural and biochemical crop traits from one UAV sensor: Investigating a multiband VNIR/SWIR imaging system for crop trait monitoring, pages 145–152

nitrogen uptake

• Applying UAV-based crop height to monitor biomass, N-concentration, and N-uptake in winter wheat, pages 19–24
• Deriving structural and biochemical crop traits from one UAV sensor: Investigating a multiband VNIR/SWIR imaging system for crop trait monitoring, pages 145–152

O

Object Detection

• Integrating UAS, Computer Vision and AI for Targeted Management of Invasive Insect Pests in Vineyards, pages 63–71

Orthophoto Segmentation

• An Automated Framework for Cadastral Parcel Adjustment Using UAV Orthophotos, SAM, and ICP, pages 277–284

oat

• Optimizing high-resolution multi-view drone imaging for detecting foreign grains in gluten-free oat production fields, pages 235–240

object detection

• Combining soft robotics and active-laser induced fluorescence for environmental monitoring: Evaluating the drone-scenario of the I-Seed project, pages 177–182

obstacle avoidance

• Autonomous Drone Navigation in Forest Environments Using Deep Learning, pages 87–93

onboard processing

• Combining soft robotics and active-laser induced fluorescence for environmental monitoring: Evaluating the drone-scenario of the I-Seed project, pages 177–182

P

Path planning

• Under-Canopy UAV Global Path Planning for Tree DBH Estimation Using LiDAR, pages 55–61
• Evaluating the performance of a lidar-based autonomous flying system for flying inside forest, pages 153–160

Photogrammetry

• Integrating UAS, Computer Vision and AI for Targeted Management of Invasive Insect Pests in Vineyards, pages 63–71

Planar surface areas

• On Voxel-Based Sampling of Planar Surface Areas from Photogrammetric UAV Data, pages 255–262

Point cloud

• Assessment of tree detection and segmentation pipelines for terrestrial laser scanning dataset of orange orchards, pages 39–46

Precision Agriculture

• UAV-assisted Multi-Object Tracking and Segmentation of Apples under Occlusions in Orchard Settings, pages 293–298

Precision Forestry

• Detecting Root Rot Infected Norway Spruce Trees Using Multispectral and LiDAR UAV Data, pages 33–38
• Mapping Boreal Forest Vitality Using Drone-Based Multispectral Time-Series and Object-Based Classification, pages 81–86

Precision agriculture

• Integrating UAS, Computer Vision and AI for Targeted Management of Invasive Insect Pests in Vineyards, pages 63–71

photogrammetry

• ORBIT: Optimized Routing for Bridge Inspection Toolkit. An open-source UAS flight path planning tool for comprehensive bridge inspections under realistic constraints, pages 25–32
• Optimizing high-resolution multi-view drone imaging for detecting foreign grains in gluten-free oat production fields, pages 235–240
• On Voxel-Based Sampling of Planar Surface Areas from Photogrammetric UAV Data, pages 255–262

plant classification

• Optimizing high-resolution multi-view drone imaging for detecting foreign grains in gluten-free oat production fields, pages 235–240

R

RF-DETR

• Real time solar panels heat point’s detection with EDGE ViTs using thermal drone imagery, pages 127–132

RGB imagery

• UAV-assisted Multi-Object Tracking and Segmentation of Apples under Occlusions in Orchard Settings, pages 293–298

Radiometric Quality Assessment

• Remote Sensing Upside Down: Exploring the Potential of Ground-Based Multispectral Cameras for Tree Crown Monitoring, pages 95–102

Raw Image

• Tree Species Classification Using Majority Voting Approach on UAV Raw Images, pages 219–225

Real-Time UAV Mapping

• Advancements on Semantic Real-Time UAV Mapping, pages 111–118

Remote sensing

• A Multiview UAV Imagery-Based Method for Assessing Spruce Tree Health at the Individual Tree Level, pages 13–18

remote sensing

• Optimizing high-resolution multi-view drone imaging for detecting foreign grains in gluten-free oat production fields, pages 235–240

robotic systems

• How the engineering of Swarming Behaviors could be drawing on Social Sciences, pages 119–126

S

SLAM

• Addressing GNSS Vulnerabilities in AAM: A Multi-Modal UAV Testbed for Redundant and Reliable Navigation, pages 211–218

SWIR

• Deriving structural and biochemical crop traits from one UAV sensor: Investigating a multiband VNIR/SWIR imaging system for crop trait monitoring, pages 145–152

Segment Anything Model (SAM)

• An Automated Framework for Cadastral Parcel Adjustment Using UAV Orthophotos, SAM, and ICP, pages 277–284

Self-learning

• Smart Drones, Smarter Learning: Federated Self-learning Minimal Learning Machine Classifier for Real-Time Hyperspectral Image Classification, pages 247–253

Semantic Segmentation

• Advancements on Semantic Real-Time UAV Mapping, pages 111–118

Simultaneous localization and mapping

• Evaluating the performance of a lidar-based autonomous flying system for flying inside forest, pages 153–160

Small Bridge

• Exploring the Potential of Super-Resolution for Crack Analysis in UAV Facade Orthomosaics of Small Bridges, pages 139–144

Solar Farms inspection

• Real time solar panels heat point’s detection with EDGE ViTs using thermal drone imagery, pages 127–132

Spatial Data Quality

• An Automated Framework for Cadastral Parcel Adjustment Using UAV Orthophotos, SAM, and ICP, pages 277–284

Spatial Decision-Support System

• A Collaborative GIS for Planning of Urban Drone Launch and Landing Site Locations, pages 227–233

Static calibration

• Misalignment estimation of a lightweight laser scanning system with static calibration, pages 189–194

Super-Resolution

• Exploring the Potential of Super-Resolution for Crack Analysis in UAV Facade Orthomosaics of Small Bridges, pages 139–144

Sustainable Forest Management

• Detecting Root Rot Infected Norway Spruce Trees Using Multispectral and LiDAR UAV Data, pages 33–38

Swarm Intelligence

• Swarm Intelligence and Systems Thinking: Finding Common Ground for the Engineering of Drone Swarms Solutions, pages 161–168

Swarm Robotics

• Swarm Intelligence and Systems Thinking: Finding Common Ground for the Engineering of Drone Swarms Solutions, pages 161–168

Systems Thinking

• Swarm Intelligence and Systems Thinking: Finding Common Ground for the Engineering of Drone Swarms Solutions, pages 161–168

sensor calibration

• Addressing GNSS Vulnerabilities in AAM: A Multi-Modal UAV Testbed for Redundant and Reliable Navigation, pages 211–218

shallow water bathymetry

• UAV and AI for large-scale monitoring of the effects of climate change on mountain lake areas: the ACLIMO cross-border cooperation project, pages 203–210

swarms

• How the engineering of Swarming Behaviors could be drawing on Social Sciences, pages 119–126

system analysis

• How the engineering of Swarming Behaviors could be drawing on Social Sciences, pages 119–126

T

Teaching Activities

• UAS for Landscape and Architectural Survey: An Innovative Interdisciplinary Approach of Learning by Doing in the Bachelor Programs at Politecnico di Torino, pages 195–202

Thermal

• Differentiating Acute and Chronic Stress in Norway Spruce using Hyperspectral and Thermal Remote Sensing in Experimental Plots, pages 133–138

Tree Species

• Tree Species Classification Using Majority Voting Approach on UAV Raw Images, pages 219–225

Tree detection

• Assessment of tree detection and segmentation pipelines for terrestrial laser scanning dataset of orange orchards, pages 39–46

Tree health classification

• A Multiview UAV Imagery-Based Method for Assessing Spruce Tree Health at the Individual Tree Level, pages 13–18

Tree-level Monitoring

• Mapping Boreal Forest Vitality Using Drone-Based Multispectral Time-Series and Object-Based Classification, pages 81–86

tillage

• Determining the Amount of Crop Residue Cover Using Image Analysis, pages 7–12

trajectory planning

• Autonomous Drone Navigation in Forest Environments Using Deep Learning, pages 87–93

turbidity

• Chlorophyll-a and Turbidity estimation using UAV imagery and machine learning in a tropical eutrophic reservoir, pages 263–268

U

UAS

• ORBIT: Optimized Routing for Bridge Inspection Toolkit. An open-source UAS flight path planning tool for comprehensive bridge inspections under realistic constraints, pages 25–32
• Integrating UAS, Computer Vision and AI for Targeted Management of Invasive Insect Pests in Vineyards, pages 63–71
• Domain Generalization in Deep Learning for Forest Health Monitoring Using Multispectral UAS Data, pages 285–291

UAS Photogrammetry

• UAS for Landscape and Architectural Survey: An Innovative Interdisciplinary Approach of Learning by Doing in the Bachelor Programs at Politecnico di Torino, pages 195–202

UAV

• Determining the Amount of Crop Residue Cover Using Image Analysis, pages 7–12
• A Multiview UAV Imagery-Based Method for Assessing Spruce Tree Health at the Individual Tree Level, pages 13–18
• Applying UAV-based crop height to monitor biomass, N-concentration, and N-uptake in winter wheat, pages 19–24
• ResQDrone: Autonomous Indoor Quadcopter for Multi-Layered Mapping in Crisis and Disaster Management Scenarios, pages 47–54
• Autonomous Drone Navigation in Forest Environments Using Deep Learning, pages 87–93
• Advancements on Semantic Real-Time UAV Mapping, pages 111–118
• Differentiating Acute and Chronic Stress in Norway Spruce using Hyperspectral and Thermal Remote Sensing in Experimental Plots, pages 133–138
• Deriving structural and biochemical crop traits from one UAV sensor: Investigating a multiband VNIR/SWIR imaging system for crop trait monitoring, pages 145–152
• Evaluating the performance of a lidar-based autonomous flying system for flying inside forest, pages 153–160
• Under-canopy UAV Solutions for Forest Inventory – Challenges and Opportunities, pages 183–188
• Misalignment estimation of a lightweight laser scanning system with static calibration, pages 189–194
• UAV and AI for large-scale monitoring of the effects of climate change on mountain lake areas: the ACLIMO cross-border cooperation project, pages 203–210
• Tree Species Classification Using Majority Voting Approach on UAV Raw Images, pages 219–225
• Optimizing high-resolution multi-view drone imaging for detecting foreign grains in gluten-free oat production fields, pages 235–240
• On Voxel-Based Sampling of Planar Surface Areas from Photogrammetric UAV Data, pages 255–262
• Chlorophyll-a and Turbidity estimation using UAV imagery and machine learning in a tropical eutrophic reservoir, pages 263–268
• Individual Tree Species Classification in a Mediterranean Ecosystem using UAV-Acquired Multispectral Images and Machine Learning, pages 269–276
• UAV-assisted Multi-Object Tracking and Segmentation of Apples under Occlusions in Orchard Settings, pages 293–298

UAV Image

• Robust UAV Image Mosaicking Using SIFT and LightGlue, pages 169–175

UAV Multispectral Imaging

• Mapping Boreal Forest Vitality Using Drone-Based Multispectral Time-Series and Object-Based Classification, pages 81–86

UAV Photogrammetry

• An Automated Framework for Cadastral Parcel Adjustment Using UAV Orthophotos, SAM, and ICP, pages 277–284

UAV environment monitoring

• Marine Debris Monitoring on Uninhabited Islands Using UAV-Based 3D Modeling, pages 299–304

UAV swarm

• Smart Drones, Smarter Learning: Federated Self-learning Minimal Learning Machine Classifier for Real-Time Hyperspectral Image Classification, pages 247–253

UAV trajectory optimization

• Smart Drones, Smarter Learning: Federated Self-learning Minimal Learning Machine Classifier for Real-Time Hyperspectral Image Classification, pages 247–253

UAV(Uncrewed Aerial Vehicles)

• Exploring the Potential of Super-Resolution for Crack Analysis in UAV Facade Orthomosaics of Small Bridges, pages 139–144

UAV-Based Monitoring

• Detecting Root Rot Infected Norway Spruce Trees Using Multispectral and LiDAR UAV Data, pages 33–38

UNESCO

• UAS for Landscape and Architectural Survey: An Innovative Interdisciplinary Approach of Learning by Doing in the Bachelor Programs at Politecnico di Torino, pages 195–202

Uncrewed Aerial Vehicle (UAV)

• Addressing GNSS Vulnerabilities in AAM: A Multi-Modal UAV Testbed for Redundant and Reliable Navigation, pages 211–218

Uncrewed Aerial Vehicles (UAVs)

• Real time solar panels heat point’s detection with EDGE ViTs using thermal drone imagery, pages 127–132

Under-canopy UAV

• Under-Canopy UAV Global Path Planning for Tree DBH Estimation Using LiDAR, pages 55–61

Unmanned Aerial System (UAS)

• Evaluation of forage grass biomass estimation models using multispectral drone imaging across multiple sites, pages 241–246

Unmanned Aerial Vehicle (UAV)

• Combining soft robotics and active-laser induced fluorescence for environmental monitoring: Evaluating the drone-scenario of the I-Seed project, pages 177–182

Urban Planning

• A Collaborative GIS for Planning of Urban Drone Launch and Landing Site Locations, pages 227–233

Usefulness

• A Collaborative GIS for Planning of Urban Drone Launch and Landing Site Locations, pages 227–233

under-canopy

• Under-canopy UAV Solutions for Forest Inventory – Challenges and Opportunities, pages 183–188

unified map representation

• Addressing GNSS Vulnerabilities in AAM: A Multi-Modal UAV Testbed for Redundant and Reliable Navigation, pages 211–218

V

Vegetation Classification

• Individual Tree Species Classification in a Mediterranean Ecosystem using UAV-Acquired Multispectral Images and Machine Learning, pages 269–276

Vertipods

• A Collaborative GIS for Planning of Urban Drone Launch and Landing Site Locations, pages 227–233

Volume estimation

• Marine Debris Monitoring on Uninhabited Islands Using UAV-Based 3D Modeling, pages 299–304

vegetation classification

• UAV and AI for large-scale monitoring of the effects of climate change on mountain lake areas: the ACLIMO cross-border cooperation project, pages 203–210

voxel

• On Voxel-Based Sampling of Planar Surface Areas from Photogrammetric UAV Data, pages 255–262

W

Wildfire suppression

• Bimodal MorphoCopter for Wildfire Suppression: Transforming Quadcopters to All-Terrain-Vehicles (ATV), pages 1–6

Woody Crop

• UAV-assisted Multi-Object Tracking and Segmentation of Apples under Occlusions in Orchard Settings, pages 293–298

water quality

• Chlorophyll-a and Turbidity estimation using UAV imagery and machine learning in a tropical eutrophic reservoir, pages 263–268

Y

YOLO 12

• Real time solar panels heat point’s detection with EDGE ViTs using thermal drone imagery, pages 127–132