A

Abdelghafour, F.

• Use of ResNets for HLB Disease Detection on Orange Leaves Using Terrestrial Multispectral Images, pages 331–337

Abdulmuttalib, H.

• Remote Sensing Data Quality in the Era of AI, pages 1–11

Adam, E.

• Crop Yield Mapping with ARC using only Optical Remote Sensing, pages 199–206

Agrawal, S.

• EHF based Heatwave Identification and its Impact on Urban Heat Island Intensity: A Case Study of an Indian City, pages 377–382
• A Study on the Cooling Impact of the River Yamuna and its Surrounding LULC: A Case Study of New Delhi, India, pages 409–415

Alavipanah, S. K.

• Integration of weighted majority voting in machine learning algorithms to enhance pine tree crown mapping on UAV imagery, pages 187–192

Albuquerque, A. M.

• Machine learning-based modelling of zenith wet delay using terrestrial meteorological data in the Brazilian territory, pages 13–19

Alencar, C. J.

• Automatic Detection of Trees using Airborne LiDAR Data Based on Geometric Characteristics, pages 109–115

Almeida, C.

• Leveraging SAR and Optical Remote Sensing for Enhanced Biomass Estimation in the Amazon with Random Forest and XGBoost Models, pages 21–27

Alves, D. B. M.

• Machine learning-based modelling of zenith wet delay using terrestrial meteorological data in the Brazilian territory, pages 13–19

Andaló, V.

• UAV imaging for spectral characterization of Coffee Leaf Miner (Leucoptera coffeella) infestation in the Cerrado Mineiro region, pages 285–291

Andrade-Miranda, G. X.

• Deep-Sea Fauna Segmentation: A Comparative Analysis of Convolutional and Vision Transformer Architectures at Lucky Strike Vent Field, pages 387–395

Antunes, R.

• Leveraging SAR and Optical Remote Sensing for Enhanced Biomass Estimation in the Amazon with Random Forest and XGBoost Models, pages 21–27

Arista Cázares, L. E.

• Spatiotemporal land use land cover (LULC) change analysis of urban narrow river using Google Earth Engine and Machine learning algorithms in Monterrey, Mexico, pages 371–375

Aviz, M. D. D.

• Spatial and temporal variation of water reflectance in an Amazonian estuary: a case study around Tatuoca Island, pages 29–37

de Aguiar, A. P. D.

• XGBOOST and Multitemporal DETER Data for Deforestation Forecasting, pages 193–198

de Andrade, M. R. M.

• Environmental critical thresholds based on statistical analysis for modelling landslide susceptibility in Continental Basaltic Provinces, pages 463–470

B

Bahmanyar, R.

• Training for Emergencies - How Germany is Preparing for Large-Scale Emergencies Using the EUROMED 2024 Civil Protection Exercise as an Example, pages 163–168

Balestra, M.

• Comparing the accuracy of 3D urban olive tree models detected by smartphone using LiDAR sensor, photogrammetry and NeRF: a case study of ’Ascolana Tenera’ in Italy, pages 61–68

Barsi, Á.

• Remote Sensing Data Quality in the Era of AI, pages 1–11

Basu, D.

• EHF based Heatwave Identification and its Impact on Urban Heat Island Intensity: A Case Study of an Indian City, pages 377–382

Baumann, A.

• A Comparison of Uncertainty Estimation Methods for Building Footprint Change Detection from Sentinel-2 Imagery, pages 339–346

Bendoula, R.

• Use of ResNets for HLB Disease Detection on Orange Leaves Using Terrestrial Multispectral Images, pages 331–337

Bernardo, N. M. R.

• An Empirical Line approach for Agrowing Camera Aerial Images of inland waters based on exponential fit and in situ water measurements, pages 215–222

Bezerra, F. G. S.

• XGBOOST and Multitemporal DETER Data for Deforestation Forecasting, pages 193–198

Bhattacharya, I.

• GAN-Based Dual Image Super Resolution for Satellite Imagery Decreasing Radiometric Uncertainty, pages 155–162

Bhuyan, M.

• Enhancing Forest Canopy Height Mapping in Kaziranga National Park, Assam, by Integrating LISS IV and SAR data with GEDI LiDAR data Using Machine Learning, pages 39–44

Bias, E. D. S.

• Leveraging SAR and Optical Remote Sensing for Enhanced Biomass Estimation in the Amazon with Random Forest and XGBoost Models, pages 21–27

Blaschke, T.

• Remote Sensing Data Quality in the Era of AI, pages 1–11

C

Caldeira, C. R. T.

• Terrain analysis in forested areas: consequences of using DSM instead of DTM, pages 45–52

Cardim, G. P.

• Comparing inpainting techniques for urban object restoration from orbital images, pages 245–251

Cereda Junior, A.

• Leveraging SAR and Optical Remote Sensing for Enhanced Biomass Estimation in the Amazon with Random Forest and XGBoost Models, pages 21–27

Cerra, D.

• Increases in Night Lights Intensity Reveal Extreme Events: A Case of Study on the Ongoing Conflict in Ukraine, pages 53–59

Chavanon, E.

• TRUST-DART: Land Surfaces Temperature and Emissivity Nonlinear Mapping from Nonisothermal Mixed Pixels of Satellite Images with the DART 3D Radiative Transfer Model, pages 453–461

Chiamulera, L.

• Leveraging SAR and Optical Remote Sensing for Enhanced Biomass Estimation in the Amazon with Random Forest and XGBoost Models, pages 21–27

Chiappini, S.

• Comparing the accuracy of 3D urban olive tree models detected by smartphone using LiDAR sensor, photogrammetry and NeRF: a case study of ’Ascolana Tenera’ in Italy, pages 61–68

Costa, G.

• Leveraging SAR and Optical Remote Sensing for Enhanced Biomass Estimation in the Amazon with Random Forest and XGBoost Models, pages 21–27

da Costa, G. A. O. P.

• Unsupervised multi-target domain adaptation for deforestation detection in tropical rainforest, pages 293–302
• Deep-Sea Fauna Segmentation: A Comparative Analysis of Convolutional and Vision Transformer Architectures at Lucky Strike Vent Field, pages 387–395

D

Al Doori, M.

• Remote Sensing Data Quality in the Era of AI, pages 1–11

Dai, J.

• Robust Multi-modal Remote Sensing Image Semantic Segmentation Using Tuple Perturbation-based Contrastive Learning, pages 77–84

Decanini, J. G. M. D. S.

• Evaluation of burning detection using modified VGG19 for LULC classification changes, pages 363–369

Demoulin, R.

• TRUST-DART: Land Surfaces Temperature and Emissivity Nonlinear Mapping from Nonisothermal Mixed Pixels of Satellite Images with the DART 3D Radiative Transfer Model, pages 453–461

Ding, L.

• A novel global multi-level terrain data tile production method, pages 423–429

Doblas Prieto, J.

• Deep network based approaches to mitigate seasonal effects in SAR images for deforestation monitoring, pages 261–267

Dorozynski, M.

• Temporal ViT-U-Net Tandem Model: Enhancing Multi-Sensor Land Cover Classification Through Transformer-Based Utilization of Satellite Image Time Series, pages 169–177

Duan, K.

• Robust Multi-modal Remote Sensing Image Semantic Segmentation Using Tuple Perturbation-based Contrastive Learning, pages 77–84

Dutta, U.

• Embankment Breach Simulation and Inundation Mapping Leveraging High-Performance Computing for Enhanced Flood Risk Prediction and Assessment, pages 117–123

d’Angelo, P.

• Training for Emergencies - How Germany is Preparing for Large-Scale Emergencies Using the EUROMED 2024 Civil Protection Exercise as an Example, pages 163–168

E

Erfanifard, Y.

• Integration of weighted majority voting in machine learning algorithms to enhance pine tree crown mapping on UAV imagery, pages 187–192

Eskandari, R.

• Spatiotemporal Pattern Detection of Ground Deformations Induced by Extreme Rainfall using InSAR EGMS: The case of Cortina d’Ampezzo after Vaia Storm, pages 131–138

Esquerdo, J. C. D. M.

• Optimum Combination of Spectral Variables for Crop Mapping in Heterogeneous Landscapes based on Sentinel-2 Time Series and Machine Learning, pages 85–92

F

Fagundes Gasparoto, H.

• Deep-Sea Fauna Segmentation: A Comparative Analysis of Convolutional and Vision Transformer Architectures at Lucky Strike Vent Field, pages 387–395

Faria Junior, C. S.

• Leaf Identification in High-Density LiDAR-RGB Data, pages 269–276
• Evaluation of burning detection using modified VGG19 for LULC classification changes, pages 363–369

Faria Júnior, C. D. S.

• Real-Time Leaves Segmentation in RGB Images with Deep Learning in a Single-Board Computer, pages 139–146

Favaro, A.

• Do greener childhoods mean fewer eating disorders? Using satellite imagery to uncover insights, pages 355–362

Feitosa, R.

• Leveraging SAR and Optical Remote Sensing for Enhanced Biomass Estimation in the Amazon with Random Forest and XGBoost Models, pages 21–27

Feitosa, R. Q.

• XGBOOST and Multitemporal DETER Data for Deforestation Forecasting, pages 193–198
• Deep network based approaches to mitigate seasonal effects in SAR images for deforestation monitoring, pages 261–267
• Unsupervised multi-target domain adaptation for deforestation detection in tropical rainforest, pages 293–302

Ferrari, F.

• XGBOOST and Multitemporal DETER Data for Deforestation Forecasting, pages 193–198

Ferreira, A. A. L.

• Comparing inpainting techniques for urban object restoration from orbital images, pages 245–251

Ferro-Famil, L.

• Potential of the upcoming Biomass P-band radar mission for digital terrain modelling beneath dense tropical forests: first accuracy assessment, pages 125–130

Fialho, R. D. C.

• An Empirical Line approach for Agrowing Camera Aerial Images of inland waters based on exponential fit and in situ water measurements, pages 215–222

Franco, T. T.

• Time Series approach to map areas of Agricultural Plastic Waste generation, pages 101–108

Freitas, M. J. D. S.

• Evaluation of burning detection using modified VGG19 for LULC classification changes, pages 363–369

G

Galo, M.

• Automatic Detection of Trees using Airborne LiDAR Data Based on Geometric Characteristics, pages 109–115

Galo, M. D. L. B. T.

• Assessing Land Use and Cover Changes arising from the 2022 water crisis in Southeast China: A comparative analysis of Remote Sensing Imagery classifications and Machine Learning algorithms, pages 253–260
• UAV imaging for spectral characterization of Coffee Leaf Miner (Leucoptera coffeella) infestation in the Cerrado Mineiro region, pages 285–291
• Estimating coffee crop parameters through multispectral imaging and machine learning algorithms, pages 317–323

Gao, C.

• A novel global multi-level terrain data tile production method, pages 423–429

Gao, Y.

• Remote Sensing Data Quality in the Era of AI, pages 1–11

Gapp, S.

• Increases in Night Lights Intensity Reveal Extreme Events: A Case of Study on the Ongoing Conflict in Ukraine, pages 53–59

Garcia Millan, V.

• Integration of weighted majority voting in machine learning algorithms to enhance pine tree crown mapping on UAV imagery, pages 187–192

Gastellu-Etchegorry, J.-P.

• TRUST-DART: Land Surfaces Temperature and Emissivity Nonlinear Mapping from Nonisothermal Mixed Pixels of Satellite Images with the DART 3D Radiative Transfer Model, pages 453–461

Genzano, N.

• Volcán de Fuego (Guatemala) monitoring with the Normalized Hotspot Indices (NHI) tool, pages 147–154

Giraldi, G. A.

• Deep network based approaches to mitigate seasonal effects in SAR images for deforestation monitoring, pages 261–267

Giulioni, F.

• Comparing the accuracy of 3D urban olive tree models detected by smartphone using LiDAR sensor, photogrammetry and NeRF: a case study of ’Ascolana Tenera’ in Italy, pages 61–68

Gong, J.

• TopoSense: agent driven topological graph extraction from remote sensing image, pages 445–452

Gouveia, T. A. F.

• Machine learning-based modelling of zenith wet delay using terrestrial meteorological data in the Brazilian territory, pages 13–19

Greza, M.

• GAN-Based Dual Image Super Resolution for Satellite Imagery Decreasing Radiometric Uncertainty, pages 155–162

Gstaiger, V.

• Increases in Night Lights Intensity Reveal Extreme Events: A Case of Study on the Ongoing Conflict in Ukraine, pages 53–59
• Training for Emergencies - How Germany is Preparing for Large-Scale Emergencies Using the EUROMED 2024 Civil Protection Exercise as an Example, pages 163–168

Guilleux, J.

• TRUST-DART: Land Surfaces Temperature and Emissivity Nonlinear Mapping from Nonisothermal Mixed Pixels of Satellite Images with the DART 3D Radiative Transfer Model, pages 453–461

Gutierrez, W.

• Volcán de Fuego (Guatemala) monitoring with the Normalized Hotspot Indices (NHI) tool, pages 147–154

Gómez-Dans, J. L.

• Crop Yield Mapping with ARC using only Optical Remote Sensing, pages 199–206

H

El Hage, M.

• Terrain analysis in forested areas: consequences of using DSM instead of DTM, pages 45–52
• Potential of the upcoming Biomass P-band radar mission for digital terrain modelling beneath dense tropical forests: first accuracy assessment, pages 125–130

Han, Z.

• A novel global multi-level terrain data tile production method, pages 423–429

Happ, P.

• Leveraging SAR and Optical Remote Sensing for Enhanced Biomass Estimation in the Amazon with Random Forest and XGBoost Models, pages 21–27

Happ, P. N.

• XGBOOST and Multitemporal DETER Data for Deforestation Forecasting, pages 193–198

Haurinen, H.

• Repeat airborne laser scanning to assess canopy height changes in tropical montane forests, pages 179–185

Hedman, J.

• TRUST-DART: Land Surfaces Temperature and Emissivity Nonlinear Mapping from Nonisothermal Mixed Pixels of Satellite Images with the DART 3D Radiative Transfer Model, pages 453–461

Heidarianbaei, M.

• Temporal ViT-U-Net Tandem Model: Enhancing Multi-Sensor Land Cover Classification Through Transformer-Based Utilization of Satellite Image Time Series, pages 169–177

Heipke, C.

• Unsupervised multi-target domain adaptation for deforestation detection in tropical rainforest, pages 293–302

Heiskanen, J.

• Repeat airborne laser scanning to assess canopy height changes in tropical montane forests, pages 179–185

Henry, C.

• Increases in Night Lights Intensity Reveal Extreme Events: A Case of Study on the Ongoing Conflict in Ukraine, pages 53–59
• Training for Emergencies - How Germany is Preparing for Large-Scale Emergencies Using the EUROMED 2024 Civil Protection Exercise as an Example, pages 163–168

Hoegner, L.

• GAN-Based Dual Image Super Resolution for Satellite Imagery Decreasing Radiometric Uncertainty, pages 155–162

Hosingholizade, A.

• Integration of weighted majority voting in machine learning algorithms to enhance pine tree crown mapping on UAV imagery, pages 187–192

Hu, X.

• TopoSense: agent driven topological graph extraction from remote sensing image, pages 445–452

Huang, W.

• A novel global multi-level terrain data tile production method, pages 423–429

Huerta-García, R. E.

• Analyzing Monterrey blue/green infrastructure for the mitigation of heat islands using Earth Observation and WUDAPT method, pages 439–444

I

Imai, N. N.

• Machine learning-based modelling of zenith wet delay using terrestrial meteorological data in the Brazilian territory, pages 13–19
• Dry mass grassland estimation using UAV ultra-wide RGB images, pages 69–75
• Real-Time Leaves Segmentation in RGB Images with Deep Learning in a Single-Board Computer, pages 139–146
• An Empirical Line approach for Agrowing Camera Aerial Images of inland waters based on exponential fit and in situ water measurements, pages 215–222
• Leaf Identification in High-Density LiDAR-RGB Data, pages 269–276
• Evaluation of YOLO Efficiency in Automatic Orange Detection in Multi-Exposure Images, pages 303–308
• Use of ResNets for HLB Disease Detection on Orange Leaves Using Terrestrial Multispectral Images, pages 331–337

Irvine, M.

• Measuring and modelling directional effects in the frame of TIRAMISU (Thermal InfraRed Anisotropy Measurements in India and Southern eUrope), pages 325–330

J

Jeganathan, C.

• Enhancing Forest Canopy Height Mapping in Kaziranga National Park, Assam, by Integrating LISS IV and SAR data with GEDI LiDAR data Using Machine Learning, pages 39–44

Jerez, G. O.

• Machine learning-based modelling of zenith wet delay using terrestrial meteorological data in the Brazilian territory, pages 13–19

Jing, Q.

• Evaluating the Effectiveness of ICESat-2 ATL03 Data for Georeferencing Satellite Images, pages 207–213

Junior, L.

• Leveraging SAR and Optical Remote Sensing for Enhanced Biomass Estimation in the Amazon with Random Forest and XGBoost Models, pages 21–27

Junqueira, A. M.

• Environmental critical thresholds based on statistical analysis for modelling landslide susceptibility in Continental Basaltic Provinces, pages 463–470

Jutzi, B.

• GAN-Based Dual Image Super Resolution for Satellite Imagery Decreasing Radiometric Uncertainty, pages 155–162

K

Kale, R.

• Embankment Breach Simulation and Inundation Mapping Leveraging High-Performance Computing for Enhanced Flood Risk Prediction and Assessment, pages 117–123

Kallel, A.

• TRUST-DART: Land Surfaces Temperature and Emissivity Nonlinear Mapping from Nonisothermal Mixed Pixels of Satellite Images with the DART 3D Radiative Transfer Model, pages 453–461

Kanyamahanga, H.

• Temporal ViT-U-Net Tandem Model: Enhancing Multi-Sensor Land Cover Classification Through Transformer-Based Utilization of Satellite Image Time Series, pages 169–177

Karine, A.

• Deep-Sea Fauna Segmentation: A Comparative Analysis of Convolutional and Vision Transformer Architectures at Lucky Strike Vent Field, pages 387–395

Khare, M. K.

• Embankment Breach Simulation and Inundation Mapping Leveraging High-Performance Computing for Enhanced Flood Risk Prediction and Assessment, pages 117–123

Krieg, C.-M.

• Training for Emergencies - How Germany is Preparing for Large-Scale Emergencies Using the EUROMED 2024 Civil Protection Exercise as an Example, pages 163–168

Kugler, Z.

• Remote Sensing Data Quality in the Era of AI, pages 1–11

Kumar, B.

• Embankment Breach Simulation and Inundation Mapping Leveraging High-Performance Computing for Enhanced Flood Risk Prediction and Assessment, pages 117–123

Kurz, F.

• Training for Emergencies - How Germany is Preparing for Large-Scale Emergencies Using the EUROMED 2024 Civil Protection Exercise as an Example, pages 163–168

Kushwaha, S. K. P.

• Unleashing the Dynamic Strategies in the Era of Change – A Spotlight on the ISPRS Student Consortium's Global Contributions, pages 431–438

L

Lagahit, M. L. R.

• Unleashing the Dynamic Strategies in the Era of Change – A Spotlight on the ISPRS Student Consortium's Global Contributions, pages 431–438

Lamparelli, R. A. C.

• Optimum Combination of Spectral Variables for Crop Mapping in Heterogeneous Landscapes based on Sentinel-2 Time Series and Machine Learning, pages 85–92
• Time Series approach to map areas of Agricultural Plastic Waste generation, pages 101–108

Lang, S.

• Remote Sensing Data Quality in the Era of AI, pages 1–11

Lauret, N.

• TRUST-DART: Land Surfaces Temperature and Emissivity Nonlinear Mapping from Nonisothermal Mixed Pixels of Satellite Images with the DART 3D Radiative Transfer Model, pages 453–461

Lei, G.

• Robust Multimodal Image Matching Based on Radiation Invariant Phase Correlation, pages 309–316

Lewis, P. E.

• Crop Yield Mapping with ARC using only Optical Remote Sensing, pages 199–206

León-Tavares, J.

• TRUST-DART: Land Surfaces Temperature and Emissivity Nonlinear Mapping from Nonisothermal Mixed Pixels of Satellite Images with the DART 3D Radiative Transfer Model, pages 453–461

Li, H.

• Evaluating the Effectiveness of ICESat-2 ATL03 Data for Georeferencing Satellite Images, pages 207–213
• A novel global multi-level terrain data tile production method, pages 423–429

Li, J.

• Assessing climatic change impacts on mangrove structural dynamics on the northern coasts of the Persian Gulf, pages 383–386

Li, W.

• Assessing climatic change impacts on mangrove structural dynamics on the northern coasts of the Persian Gulf, pages 383–386

Lingua, A. M.

• UAV imaging for spectral characterization of Coffee Leaf Miner (Leucoptera coffeella) infestation in the Cerrado Mineiro region, pages 285–291

Liu, T.

• Research on ecological and climate impacts of offshore wind farms based on remote sensing images, pages 397–402

Liu, X.

• Research on Spatial Pattern and Accessibility of Traditional Villages-Taking Henan Province as an Example, pages 403–408
• Multi-class Object Detection in Urban Scenes Based on Deep Learning, pages 417–422

Lucchetta, B. C.

• An Empirical Line approach for Agrowing Camera Aerial Images of inland waters based on exponential fit and in situ water measurements, pages 215–222

M

Machinia, N.

• Training for Emergencies - How Germany is Preparing for Large-Scale Emergencies Using the EUROMED 2024 Civil Protection Exercise as an Example, pages 163–168

Madadikhaljan, M.

• Thermal Infrared Image Georeferencing using an Ensemble of Land Cover Predictions, pages 223–230

Mafi-Gholami, D.

• Assessing climatic change impacts on mangrove structural dynamics on the northern coasts of the Persian Gulf, pages 383–386

Malinverni, E. S.

• Comparing the accuracy of 3D urban olive tree models detected by smartphone using LiDAR sensor, photogrammetry and NeRF: a case study of ’Ascolana Tenera’ in Italy, pages 61–68

Mann, D.

• Multiscale assessment of land use efficiency in functional urban areas of Munich and Augsburg, pages 231–236

Marcheggiani, E.

• Comparing the accuracy of 3D urban olive tree models detected by smartphone using LiDAR sensor, photogrammetry and NeRF: a case study of ’Ascolana Tenera’ in Italy, pages 61–68

Marchese, F.

• Volcán de Fuego (Guatemala) monitoring with the Normalized Hotspot Indices (NHI) tool, pages 147–154

Maretto, R. V.

• XGBOOST and Multitemporal DETER Data for Deforestation Forecasting, pages 193–198

Marra, A. B.

• Estimating coffee crop parameters through multispectral imaging and machine learning algorithms, pages 317–323

Martinez, J.-M.

• Spatial and temporal variation of water reflectance in an Amazonian estuary: a case study around Tatuoca Island, pages 29–37

Martins, G. D.

• UAV imaging for spectral characterization of Coffee Leaf Miner (Leucoptera coffeella) infestation in the Cerrado Mineiro region, pages 285–291
• Estimating coffee crop parameters through multispectral imaging and machine learning algorithms, pages 317–323

Martins-Neto, R. P.

• Machine learning-based modelling of zenith wet delay using terrestrial meteorological data in the Brazilian territory, pages 13–19
• Dry mass grassland estimation using UAV ultra-wide RGB images, pages 69–75
• Leaf Identification in High-Density LiDAR-RGB Data, pages 269–276

Matabos, M.

• Deep-Sea Fauna Segmentation: A Comparative Analysis of Convolutional and Vision Transformer Architectures at Lucky Strike Vent Field, pages 387–395

Maximo, M. R. O. D. A.

• Real-Time Leaves Segmentation in RGB Images with Deep Learning in a Single-Board Computer, pages 139–146

Mendes, T. S. G.

• Environmental critical thresholds based on statistical analysis for modelling landslide susceptibility in Continental Basaltic Provinces, pages 463–470

Meneguzzo, P.

• Do greener childhoods mean fewer eating disorders? Using satellite imagery to uncover insights, pages 355–362

Merkle, N.

• Increases in Night Lights Intensity Reveal Extreme Events: A Case of Study on the Ongoing Conflict in Ukraine, pages 53–59
• Training for Emergencies - How Germany is Preparing for Large-Scale Emergencies Using the EUROMED 2024 Civil Protection Exercise as an Example, pages 163–168

Moro, E.

• Dry mass grassland estimation using UAV ultra-wide RGB images, pages 69–75

Muehlhaus, M.

• Training for Emergencies - How Germany is Preparing for Large-Scale Emergencies Using the EUROMED 2024 Civil Protection Exercise as an Example, pages 163–168

Mwangi, P.

• Evaluating the Spatio-Temporal Distribution of Nitrogen Dioxide, Land Surface Temperature and NDVI in Nairobi City County, pages 237–244

N

Nagai, M.

• Identifying Damaged Areas Caused by the Noto Peninsula 2024 Earthquake Using Change Detection from Optical Satellite Images, pages 277–284
• Coherence and Intensity Statistical Mapping of Earthquake Affected Areas using Sentinel-1 Images, pages 347–354

Napoleon, T.

• Deep-Sea Fauna Segmentation: A Comparative Analysis of Convolutional and Vision Transformer Architectures at Lucky Strike Vent Field, pages 387–395

Nascimento, D. T. F.

• Evaluating rainfall erosivity index from CHIRPS and INMET data in southeast region of Goiás (Brazil), pages 93–99

Nascimento, E. S.

• Comparing inpainting techniques for urban object restoration from orbital images, pages 245–251
• Assessing Land Use and Cover Changes arising from the 2022 water crisis in Southeast China: A comparative analysis of Remote Sensing Imagery classifications and Machine Learning algorithms, pages 253–260
• Estimating coffee crop parameters through multispectral imaging and machine learning algorithms, pages 317–323

Nespolo, R. S.

• Machine learning-based modelling of zenith wet delay using terrestrial meteorological data in the Brazilian territory, pages 13–19

Neves, C. N.

• Deep network based approaches to mitigate seasonal effects in SAR images for deforestation monitoring, pages 261–267

Nippold, R.

• Training for Emergencies - How Germany is Preparing for Large-Scale Emergencies Using the EUROMED 2024 Civil Protection Exercise as an Example, pages 163–168

Norberto, I. S.

• Leaf Identification in High-Density LiDAR-RGB Data, pages 269–276

O

Okolie, C. J.

• Unleashing the Dynamic Strategies in the Era of Change – A Spotlight on the ISPRS Student Consortium's Global Contributions, pages 431–438

Olivar, F. R. M.

• Identifying Damaged Areas Caused by the Noto Peninsula 2024 Earthquake Using Change Detection from Optical Satellite Images, pages 277–284

Orlando, V. S. W.

• UAV imaging for spectral characterization of Coffee Leaf Miner (Leucoptera coffeella) infestation in the Cerrado Mineiro region, pages 285–291
• Evaluation of YOLO Efficiency in Automatic Orange Detection in Multi-Exposure Images, pages 303–308
• Estimating coffee crop parameters through multispectral imaging and machine learning algorithms, pages 317–323

Ortega Adarme, M. X.

• Deep network based approaches to mitigate seasonal effects in SAR images for deforestation monitoring, pages 261–267
• Unsupervised multi-target domain adaptation for deforestation detection in tropical rainforest, pages 293–302

Oviedo Espinosa, M. R.

• Evaluation of YOLO Efficiency in Automatic Orange Detection in Multi-Exposure Images, pages 303–308

Oviedo, M.

• Use of ResNets for HLB Disease Detection on Orange Leaves Using Terrestrial Multispectral Images, pages 331–337

de Oliveira Júnior, J. G.

• Optimum Combination of Spectral Variables for Crop Mapping in Heterogeneous Landscapes based on Sentinel-2 Time Series and Machine Learning, pages 85–92

de Oliveira, M. H. S.

• Time Series approach to map areas of Agricultural Plastic Waste generation, pages 101–108

P

Dal Poz, A. P.

• Evaluation of YOLO Efficiency in Automatic Orange Detection in Multi-Exposure Images, pages 303–308

Pampuch Bortolozo, L. A.

• Environmental critical thresholds based on statistical analysis for modelling landslide susceptibility in Continental Basaltic Provinces, pages 463–470

Panchang, R.

• Embankment Breach Simulation and Inundation Mapping Leveraging High-Performance Computing for Enhanced Flood Risk Prediction and Assessment, pages 117–123

Papadakis, P.

• Deep-Sea Fauna Segmentation: A Comparative Analysis of Convolutional and Vision Transformer Architectures at Lucky Strike Vent Field, pages 387–395

Pellikka, P.

• Repeat airborne laser scanning to assess canopy height changes in tropical montane forests, pages 179–185

Peng, T.

• Robust Multimodal Image Matching Based on Radiation Invariant Phase Correlation, pages 309–316

Pereira, F. V.

• Estimating coffee crop parameters through multispectral imaging and machine learning algorithms, pages 317–323

Pereira, J. D. A. D. S.

• Evaluation of burning detection using modified VGG19 for LULC classification changes, pages 363–369

Pierdicca, R.

• Comparing the accuracy of 3D urban olive tree models detected by smartphone using LiDAR sensor, photogrammetry and NeRF: a case study of ’Ascolana Tenera’ in Italy, pages 61–68

Pina, P.

• Comparing inpainting techniques for urban object restoration from orbital images, pages 245–251

Pinnepalli, C.

• Measuring and modelling directional effects in the frame of TIRAMISU (Thermal InfraRed Anisotropy Measurements in India and Southern eUrope), pages 325–330

Pirasteh, S.

• Integration of weighted majority voting in machine learning algorithms to enhance pine tree crown mapping on UAV imagery, pages 187–192
• Assessing climatic change impacts on mangrove structural dynamics on the northern coasts of the Persian Gulf, pages 383–386

Pirotti, F.

• Do greener childhoods mean fewer eating disorders? Using satellite imagery to uncover insights, pages 355–362

Polidori, L.

• Spatial and temporal variation of water reflectance in an Amazonian estuary: a case study around Tatuoca Island, pages 29–37
• Terrain analysis in forested areas: consequences of using DSM instead of DTM, pages 45–52
• Potential of the upcoming Biomass P-band radar mission for digital terrain modelling beneath dense tropical forests: first accuracy assessment, pages 125–130

Porto, L. R.

• Real-Time Leaves Segmentation in RGB Images with Deep Learning in a Single-Board Computer, pages 139–146
• Evaluation of YOLO Efficiency in Automatic Orange Detection in Multi-Exposure Images, pages 303–308
• Use of ResNets for HLB Disease Detection on Orange Leaves Using Terrestrial Multispectral Images, pages 331–337

Prabhu, T. S. M.

• Embankment Breach Simulation and Inundation Mapping Leveraging High-Performance Computing for Enhanced Flood Risk Prediction and Assessment, pages 117–123

Prexl, J.

• Multiscale assessment of land use efficiency in functional urban areas of Munich and Augsburg, pages 231–236
• A Comparison of Uncertainty Estimation Methods for Building Footprint Change Detection from Sentinel-2 Imagery, pages 339–346

Pucino, N.

• Unleashing the Dynamic Strategies in the Era of Change – A Spotlight on the ISPRS Student Consortium's Global Contributions, pages 431–438

Pujar, G. S.

• Enhancing Forest Canopy Height Mapping in Kaziranga National Park, Assam, by Integrating LISS IV and SAR data with GEDI LiDAR data Using Machine Learning, pages 39–44

Q

Qin, W.

• Evaluating the Effectiveness of ICESat-2 ATL03 Data for Georeferencing Satellite Images, pages 207–213

R

La Rosa, L. E. C.

• Leveraging SAR and Optical Remote Sensing for Enhanced Biomass Estimation in the Amazon with Random Forest and XGBoost Models, pages 21–27
• XGBOOST and Multitemporal DETER Data for Deforestation Forecasting, pages 193–198

Regaieg, O.

• TRUST-DART: Land Surfaces Temperature and Emissivity Nonlinear Mapping from Nonisothermal Mixed Pixels of Satellite Images with the DART 3D Radiative Transfer Model, pages 453–461

Renk, J. F. C.

• Environmental critical thresholds based on statistical analysis for modelling landslide susceptibility in Continental Basaltic Provinces, pages 463–470

Reyes, R.

• Coherence and Intensity Statistical Mapping of Earthquake Affected Areas using Sentinel-1 Images, pages 347–354

Reyes, R. B.

• Identifying Damaged Areas Caused by the Noto Peninsula 2024 Earthquake Using Change Detection from Optical Satellite Images, pages 277–284

Rivadeneyra, P.

• Do greener childhoods mean fewer eating disorders? Using satellite imagery to uncover insights, pages 355–362

Roberto, M. F.

• Evaluation of burning detection using modified VGG19 for LULC classification changes, pages 363–369

Rodríguez González, K. D.

• Spatiotemporal land use land cover (LULC) change analysis of urban narrow river using Google Earth Engine and Machine learning algorithms in Monterrey, Mexico, pages 371–375

Roncolato, G. S.

• An Empirical Line approach for Agrowing Camera Aerial Images of inland waters based on exponential fit and in situ water measurements, pages 215–222

Rosenbaum, D.

• Training for Emergencies - How Germany is Preparing for Large-Scale Emergencies Using the EUROMED 2024 Civil Protection Exercise as an Example, pages 163–168

Roujean, J.-L.

• Measuring and modelling directional effects in the frame of TIRAMISU (Thermal InfraRed Anisotropy Measurements in India and Southern eUrope), pages 325–330

S

Saballos, J. A.

• Volcán de Fuego (Guatemala) monitoring with the Normalized Hotspot Indices (NHI) tool, pages 147–154

Saxena, S.

• EHF based Heatwave Identification and its Impact on Urban Heat Island Intensity: A Case Study of an Indian City, pages 377–382

Scaioni, M.

• Spatiotemporal Pattern Detection of Ground Deformations Induced by Extreme Rainfall using InSAR EGMS: The case of Cortina d’Ampezzo after Vaia Storm, pages 131–138

Schmitt, M.

• Thermal Infrared Image Georeferencing using an Ensemble of Land Cover Predictions, pages 223–230
• Multiscale assessment of land use efficiency in functional urban areas of Munich and Augsburg, pages 231–236
• A Comparison of Uncertainty Estimation Methods for Building Footprint Change Detection from Sentinel-2 Imagery, pages 339–346

Shen, J.

• Assessing climatic change impacts on mangrove structural dynamics on the northern coasts of the Persian Gulf, pages 383–386

Shimabukuro, M. H.

• Real-Time Leaves Segmentation in RGB Images with Deep Learning in a Single-Board Computer, pages 139–146
• Leaf Identification in High-Density LiDAR-RGB Data, pages 269–276

Shirmohammadi, M.

• Assessing climatic change impacts on mangrove structural dynamics on the northern coasts of the Persian Gulf, pages 383–386

Silva, G. C. D.

• Evaluating rainfall erosivity index from CHIRPS and INMET data in southeast region of Goiás (Brazil), pages 93–99

Silva, M. A.

• Environmental critical thresholds based on statistical analysis for modelling landslide susceptibility in Continental Basaltic Provinces, pages 463–470

Simões, S. J. C.

• Environmental critical thresholds based on statistical analysis for modelling landslide susceptibility in Continental Basaltic Provinces, pages 463–470

Singh, Y. K.

• Embankment Breach Simulation and Inundation Mapping Leveraging High-Performance Computing for Enhanced Flood Risk Prediction and Assessment, pages 117–123

Sommer, F.

• Multiscale assessment of land use efficiency in functional urban areas of Munich and Augsburg, pages 231–236

Soto Vega, P. J.

• Unsupervised multi-target domain adaptation for deforestation detection in tropical rainforest, pages 293–302
• Deep-Sea Fauna Segmentation: A Comparative Analysis of Convolutional and Vision Transformer Architectures at Lucky Strike Vent Field, pages 387–395

Szabo, G.

• Remote Sensing Data Quality in the Era of AI, pages 1–11

da Silva, E. A.

• Comparing inpainting techniques for urban object restoration from orbital images, pages 245–251
• Assessing Land Use and Cover Changes arising from the 2022 water crisis in Southeast China: A comparative analysis of Remote Sensing Imagery classifications and Machine Learning algorithms, pages 253–260

da Silva, M. F.

• Automatic Detection of Trees using Airborne LiDAR Data Based on Geometric Characteristics, pages 109–115
• Leaf Identification in High-Density LiDAR-RGB Data, pages 269–276

da Silva, R. C. E.

• Dry mass grassland estimation using UAV ultra-wide RGB images, pages 69–75

da Silveira, D. D. S.

• Dry mass grassland estimation using UAV ultra-wide RGB images, pages 69–75

de Souza Silva, I.

• Evaluating rainfall erosivity index from CHIRPS and INMET data in southeast region of Goiás (Brazil), pages 93–99

de Souza, M. F.

• Time Series approach to map areas of Agricultural Plastic Waste generation, pages 101–108

de Souza, R. A.

• XGBOOST and Multitemporal DETER Data for Deforestation Forecasting, pages 193–198

dos Santos, R. C.

• Automatic Detection of Trees using Airborne LiDAR Data Based on Geometric Characteristics, pages 109–115

T

Tang, D.

• A novel global multi-level terrain data tile production method, pages 423–429

Tang, X.

• Research on ecological and climate impacts of offshore wind farms based on remote sensing images, pages 397–402

Tao, P.

• Evaluating the Effectiveness of ICESat-2 ATL03 Data for Georeferencing Satellite Images, pages 207–213

Thapa, L.

• Unleashing the Dynamic Strategies in the Era of Change – A Spotlight on the ISPRS Student Consortium's Global Contributions, pages 431–438

Tian, H.

• Research on Spatial Pattern and Accessibility of Traditional Villages-Taking Henan Province as an Example, pages 403–408

Tiede, D.

• Remote Sensing Data Quality in the Era of AI, pages 1–11

Tommaselli, A. M. G.

• Machine learning-based modelling of zenith wet delay using terrestrial meteorological data in the Brazilian territory, pages 13–19
• Dry mass grassland estimation using UAV ultra-wide RGB images, pages 69–75
• Real-Time Leaves Segmentation in RGB Images with Deep Learning in a Single-Board Computer, pages 139–146
• An Empirical Line approach for Agrowing Camera Aerial Images of inland waters based on exponential fit and in situ water measurements, pages 215–222
• Leaf Identification in High-Density LiDAR-RGB Data, pages 269–276
• Evaluation of YOLO Efficiency in Automatic Orange Detection in Multi-Exposure Images, pages 303–308
• Use of ResNets for HLB Disease Detection on Orange Leaves Using Terrestrial Multispectral Images, pages 331–337

V

Verma, A.

• A Study on the Cooling Impact of the River Yamuna and its Surrounding LULC: A Case Study of New Delhi, India, pages 409–415

Vieira, B. S.

• Estimating coffee crop parameters through multispectral imaging and machine learning algorithms, pages 317–323

Villard, L.

• Potential of the upcoming Biomass P-band radar mission for digital terrain modelling beneath dense tropical forests: first accuracy assessment, pages 125–130

Vinhas, L.

• XGBOOST and Multitemporal DETER Data for Deforestation Forecasting, pages 193–198

W

Wang, C.

• A novel global multi-level terrain data tile production method, pages 423–429

Wang, R.

• Research on Spatial Pattern and Accessibility of Traditional Villages-Taking Henan Province as an Example, pages 403–408
• Multi-class Object Detection in Urban Scenes Based on Deep Learning, pages 417–422

Wang, Y.

• Multi-class Object Detection in Urban Scenes Based on Deep Learning, pages 417–422
• TRUST-DART: Land Surfaces Temperature and Emissivity Nonlinear Mapping from Nonisothermal Mixed Pixels of Satellite Images with the DART 3D Radiative Transfer Model, pages 453–461

Wang, Z.

• A novel global multi-level terrain data tile production method, pages 423–429

Watanabe, F. S. Y.

• An Empirical Line approach for Agrowing Camera Aerial Images of inland waters based on exponential fit and in situ water measurements, pages 215–222
• Assessing Land Use and Cover Changes arising from the 2022 water crisis in Southeast China: A comparative analysis of Remote Sensing Imagery classifications and Machine Learning algorithms, pages 253–260

Weiß, T.

• Crop Yield Mapping with ARC using only Optical Remote Sensing, pages 199–206

Wekesa, C.

• Repeat airborne laser scanning to assess canopy height changes in tropical montane forests, pages 179–185

Werner, J. P. S.

• Time Series approach to map areas of Agricultural Plastic Waste generation, pages 101–108

Y

Yadav, Y.

• Unleashing the Dynamic Strategies in the Era of Change – A Spotlight on the ISPRS Student Consortium's Global Contributions, pages 431–438

Yang, B.

• TopoSense: agent driven topological graph extraction from remote sensing image, pages 445–452

Yang, P.

• Robust Multimodal Image Matching Based on Radiation Invariant Phase Correlation, pages 309–316

Ye, Y.

• Robust Multi-modal Remote Sensing Image Semantic Segmentation Using Tuple Perturbation-based Contrastive Learning, pages 77–84
• Robust Multimodal Image Matching Based on Radiation Invariant Phase Correlation, pages 309–316

Yendargaye, G.

• Embankment Breach Simulation and Inundation Mapping Leveraging High-Performance Computing for Enhanced Flood Risk Prediction and Assessment, pages 117–123

Yin, F.

• Crop Yield Mapping with ARC using only Optical Remote Sensing, pages 199–206

Yin, T.

• TRUST-DART: Land Surfaces Temperature and Emissivity Nonlinear Mapping from Nonisothermal Mixed Pixels of Satellite Images with the DART 3D Radiative Transfer Model, pages 453–461

Youssefi, F.

• Assessing climatic change impacts on mangrove structural dynamics on the northern coasts of the Persian Gulf, pages 383–386

Yuan, X.

• Training for Emergencies - How Germany is Preparing for Large-Scale Emergencies Using the EUROMED 2024 Civil Protection Exercise as an Example, pages 163–168

Yépez Rincón, F. D.

• Spatiotemporal land use land cover (LULC) change analysis of urban narrow river using Google Earth Engine and Machine learning algorithms in Monterrey, Mexico, pages 371–375
• Analyzing Monterrey blue/green infrastructure for the mitigation of heat islands using Earth Observation and WUDAPT method, pages 439–444

Z

Zapata Wah, I. G.

• Analyzing Monterrey blue/green infrastructure for the mitigation of heat islands using Earth Observation and WUDAPT method, pages 439–444

Zhang, H.

• A novel global multi-level terrain data tile production method, pages 423–429

Zhang, M.

• TopoSense: agent driven topological graph extraction from remote sensing image, pages 445–452

Zhang, T.

• Research on ecological and climate impacts of offshore wind farms based on remote sensing images, pages 397–402

Zhang, W.

• Research on ecological and climate impacts of offshore wind farms based on remote sensing images, pages 397–402

Zhang, X.

• Evaluating the Effectiveness of ICESat-2 ATL03 Data for Georeferencing Satellite Images, pages 207–213

Zhao, W.

• A novel global multi-level terrain data tile production method, pages 423–429

Zhao, Y.

• Robust Multi-modal Remote Sensing Image Semantic Segmentation Using Tuple Perturbation-based Contrastive Learning, pages 77–84

Zhen, Z.

• TRUST-DART: Land Surfaces Temperature and Emissivity Nonlinear Mapping from Nonisothermal Mixed Pixels of Satellite Images with the DART 3D Radiative Transfer Model, pages 453–461

Zheng, X.

• A novel global multi-level terrain data tile production method, pages 423–429

Zhou, D.

• Evaluating the Effectiveness of ICESat-2 ATL03 Data for Georeferencing Satellite Images, pages 207–213

Zhou, L.

• Robust Multi-modal Remote Sensing Image Semantic Segmentation Using Tuple Perturbation-based Contrastive Learning, pages 77–84
• Robust Multimodal Image Matching Based on Radiation Invariant Phase Correlation, pages 309–316

Zou, Y.

• Research on ecological and climate impacts of offshore wind farms based on remote sensing images, pages 397–402