A

Acar, O.

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

Ait El Kadi, K.

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

Akbar, B.

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

Ammann, N.

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

Amorim, C. C.

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

Anttonen, A.

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

B

Bareth, G.

• 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

Barot, T. J.

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

Bartczak, E. T.

• 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

Bartholomeus, H.

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

Bassier, M.

• 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

Biber, J.

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

Bio, A.

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

Blaženec, M.

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

Bohlin, J.

• 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

Bolten, A.

• 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

Boman, G.

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

Bongartz, J.

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

Bournez, P.

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

Bruckmüller, F.

• 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

C

Campos, M. B.

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

Castanheiro, L. F.

• Assessment of tree detection and segmentation pipelines for terrestrial laser scanning dataset of orange orchards, pages 39–46
• Misalignment estimation of a lightweight laser scanning system with static calibration, pages 189–194

Cella, M.

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

Chen, Y.

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

Chiabrando, F.

• Integrating UAS, Computer Vision and AI for Targeted Management of Invasive Insect Pests in Vineyards, pages 63–71
• 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
• Individual Tree Species Classification in a Mediterranean Ecosystem using UAV-Acquired Multispectral Images and Machine Learning, pages 269–276

Coffeng, S.

• How the engineering of Swarming Behaviors could be drawing on Social Sciences, pages 119–126
• Swarm Intelligence and Systems Thinking: Finding Common Ground for the Engineering of Drone Swarms Solutions, pages 161–168

Cosimo, L. H. E.

• 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

Del Col, G.

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

D

Dahy, B.

• 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

Dou, X.

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

d’Apolito, F.

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

E

Edström, J.

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

Eltner, A.

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

F

Fanta-Jende, P.

• 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

Farstad, M.

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

Fitzek, F. H. P.

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

Fransson, J. E. S.

• 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

G

Gallitto, F.

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

Galo, M.

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

Garcia, T. A. C.

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

Girzidas, D.

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

Goebel, M.

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

Gonçalves, J. A.

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

Graziani, C.

• 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

Grella, M.

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

H

Hakala, T.

• Autonomous Drone Navigation in Forest Environments Using Deep Learning, pages 87–93
• Evaluating the performance of a lidar-based autonomous flying system for flying inside forest, pages 153–160

Hasna Ummu Mukminin, A.

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

Haubenstock, M.

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

Hemmatianzadeh, S.

• 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

Hernandi, A.

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

Hildmann, H.

• How the engineering of Swarming Behaviors could be drawing on Social Sciences, pages 119–126
• Swarm Intelligence and Systems Thinking: Finding Common Ground for the Engineering of Drone Swarms Solutions, pages 161–168

Honkavaara, E.

• Bimodal MorphoCopter for Wildfire Suppression: Transforming Quadcopters to All-Terrain-Vehicles (ATV), pages 1–6
• A Multiview UAV Imagery-Based Method for Assessing Spruce Tree Health at the Individual Tree Level, pages 13–18
• Autonomous Drone Navigation in Forest Environments Using Deep Learning, pages 87–93
• Evaluating the performance of a lidar-based autonomous flying system for flying inside forest, pages 153–160
• A Collaborative GIS for Planning of Urban Drone Launch and Landing Site Locations, pages 227–233
• Optimizing high-resolution multi-view drone imaging for detecting foreign grains in gluten-free oat production fields, pages 235–240
• Evaluation of forage grass biomass estimation models using multispectral drone imaging across multiple sites, pages 241–246
• Domain Generalization in Deep Learning for Forest Health Monitoring Using Multispectral UAS Data, pages 285–291

Huo, L.

• 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

Hyyppä, H.

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

Hüging, H.

• 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

Hütt, C.

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

van der Heuvel, J.

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

I

Ihsan, M.

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

Iwaszczuk, D.

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

J

Jabrane, M.

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

Jakuš, R.

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

Jang, D.

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

Jenal, A.

• 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

Jeon, E.

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

Jussila, A.

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

K

Kaivosoja, J.

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

Karhunen, A.

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

Karila, K.

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

Karjalainen, V.

• Autonomous Drone Navigation in Forest Environments Using Deep Learning, pages 87–93
• Evaluating the performance of a lidar-based autonomous flying system for flying inside forest, pages 153–160

Karpov, A.

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

Karvonen, H.

• How the engineering of Swarming Behaviors could be drawing on Social Sciences, pages 119–126
• Swarm Intelligence and Systems Thinking: Finding Common Ground for the Engineering of Drone Swarms Solutions, pages 161–168

Kessler, C.

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

Kettunen, P.

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

Khormashahi, E.

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

Kilpi-Chen, X.

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

Kim, S.

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

Kim, T.

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

Kim, T.-H.

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

Koivumäki, N.

• A Multiview UAV Imagery-Based Method for Assessing Spruce Tree Health at the Individual Tree Level, pages 13–18
• Evaluation of forage grass biomass estimation models using multispectral drone imaging across multiple sites, pages 241–246
• Domain Generalization in Deep Learning for Forest Health Monitoring Using Multispectral UAS Data, pages 285–291

Kooistra, L.

• Combining soft robotics and active-laser induced fluorescence for environmental monitoring: Evaluating the drone-scenario of the I-Seed project, pages 177–182
• UAV-assisted Multi-Object Tracking and Segmentation of Apples under Occlusions in Orchard Settings, pages 293–298

Korhonen, P.

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

Korolyova, N.

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

Kramar, V.

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

L

Lajunen, A.

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

Liang, X.

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

Lindberg, E.

• 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

Lingua, A. M.

• Integrating UAS, Computer Vision and AI for Targeted Management of Invasive Insect Pests in Vineyards, pages 63–71
• 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 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
• Individual Tree Species Classification in a Mediterranean Ecosystem using UAV-Acquired Multispectral Images and Machine Learning, pages 269–276

Liu, G.

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

Longhi, V.

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

Lyytikäinen-Saarenmaa, P.

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

M

Maas, H.-G.

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

Machado, F. S.

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

Machado, M. V.

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

Manca, S.

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

Maretto, R. V.

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

Marešová, J.

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

Martino, A.

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

Maschio, P. F.

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

Matrone, F.

• 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

Matzke, F. R.

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

Mello, C. C. S.

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

Meyer, M.

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

Mizoguchi, T.

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

Mladenović, M. N.

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

Mustafa, H.

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

N

Niemeläinen, O.

• Optimizing high-resolution multi-view drone imaging for detecting foreign grains in gluten-free oat production fields, pages 235–240
• Evaluation of forage grass biomass estimation models using multispectral drone imaging across multiple sites, pages 241–246

Niemi, L.

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

Niskanen, M.

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

Nockerts, R.

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

Nurmaulia, S. L.

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

Näsi, R.

• A Multiview UAV Imagery-Based Method for Assessing Spruce Tree Health at the Individual Tree Level, pages 13–18
• Optimizing high-resolution multi-view drone imaging for detecting foreign grains in gluten-free oat production fields, pages 235–240
• Evaluation of forage grass biomass estimation models using multispectral drone imaging across multiple sites, pages 241–246
• Domain Generalization in Deep Learning for Forest Health Monitoring Using Multispectral UAS Data, pages 285–291

O

Ogawa, H.

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

Oliveira, R. A.

• A Multiview UAV Imagery-Based Method for Assessing Spruce Tree Health at the Individual Tree Level, pages 13–18
• Optimizing high-resolution multi-view drone imaging for detecting foreign grains in gluten-free oat production fields, pages 235–240
• Evaluation of forage grass biomass estimation models using multispectral drone imaging across multiple sites, pages 241–246
• Domain Generalization in Deep Learning for Forest Health Monitoring Using Multispectral UAS Data, pages 285–291

Onderstal, B.

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

P

Packwitz, F.

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

Park, H.

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

Pasaribu, S. K.

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

Pelto-Arvo, M.

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

Pereira, G.

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

Persson, H.

• 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

Pitkänen, J.

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

Pivovar, M.

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

Päivänsalo, A.

• A Multiview UAV Imagery-Based Method for Assessing Spruce Tree Health at the Individual Tree Level, pages 13–18
• Optimizing high-resolution multi-view drone imaging for detecting foreign grains in gluten-free oat production fields, pages 235–240

Pölönen, I.

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

van der Pluijm, R.

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

R

Raita-Hakola, A.-M.

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

Rantanen, R.

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

Reis, T. T.

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

Rua, S.

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

Rönneberg, M.

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

Rönnholm, P.

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

S

Saffre, F.

• How the engineering of Swarming Behaviors could be drawing on Social Sciences, pages 119–126
• Swarm Intelligence and Systems Thinking: Finding Common Ground for the Engineering of Drone Swarms Solutions, pages 161–168

Saif, M. A.

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

Salim, D. H. C.

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

Salzinger, J.

• 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

Satwika, I. P.

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

Schwingshackl, M.

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

Sebari, I.

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

Sefaci, S.

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

Sengun, E.

• 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

Singh, V.

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

Spadaro, A.

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

Sridharan, S.

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

Sulzbachner, C.

• 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

Sun, Q.

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

Suwardhi, D.

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

da Silva, M. F.

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

da Silva, R. M.

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

dos Santos, R. C.

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

T

Tilly, N.

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

Tommaselli, A. M. G.

• Assessment of tree detection and segmentation pipelines for terrestrial laser scanning dataset of orange orchards, pages 39–46
• Misalignment estimation of a lightweight laser scanning system with static calibration, pages 189–194

Tsukano, D.

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

Turkulainen, E.

• A Multiview UAV Imagery-Based Method for Assessing Spruce Tree Health at the Individual Tree Level, pages 13–18
• Domain Generalization in Deep Learning for Forest Health Monitoring Using Multispectral UAS Data, pages 285–291

Tuviala, J.

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

V

Vaaja, M. T.

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

Valente, J.

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

Vergauwen, M.

• 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

Vultaggio, F.

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

W

Wallin, A.

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

Wang, K.

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

Wang, W.

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

Widhalm, V.

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

Widyastuti, R.

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

Witzell, J.

• 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

Wolf, L.

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

X

Xiong, H.

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

Y

Ylisiurua, M.

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

Yoon, S.-J.

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

Z

Zhang, C.

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

Zhang, S.

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

Zhang, W.

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

Ä

Änäkkälä, M.

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