A

Acuña Paz Y Miño, J.

• Imaging wind field from videos: an innovative tool for urban scale measurements, pages 27–34

Adriano, B.

• Flood Depth Mapping from SAR Imagery Using CS-Mamba with DEM Sensitivity Analysis, pages 493–500

Agboola, G.

• Integrating Unsupervised Change Detection and Deep Learning Segmentation for Automated Landslide Mapping, pages 857–863

Ahmed, M. H.

• Spatial Aerodynamic Roughness of Forested Landscapes from Airborne LiDAR, pages 695–704

Ajayi, O. G.

• Principal component analysis of UAV-derived vegetation indices and laboratory tissue nutrients for crop health assessment, pages 705–712

Akhloufi, M. A.

• Evaluating the Impact of Super-Resolution for Coastal Boundary Segmentation Using Deep Learning for High-Resolution Imagery, pages 35–42
• CFMap: A Deep Convolutional Neural Network for Predicting Wildfire Risk Maps, pages 173–178

Akinyemi, F. O.

• Using the Soil Brightness Indicator to inform Participatory Community Planning for SDG2 Projects – a case study in Dodoma, Tanzania, pages 617–624

Al-Najjar, H.

• A Spatiotemporal Evaluation Framework for MODIS-Derived Fire Events, pages 151–156

Alessi, N.

• Combining specialized Sentinel-2 time series features with AlphaEarth Foundations for forest type mapping, pages 117–124

An, L.

• Basal Melting and Potential Warm Water Intrusion Beneath Antarctic Ice Shelves, pages 679–685

Angel, D.

• Enhancing Oil Spill Interpretation Through Multisensor Fusion and Temporal Reconstruction: A Case Study Near the Strait of Gibraltar, pages 865–870

Anger, J.

• Detecting Moving Vehicles on Sentinel-2 Imagery Using Semi-Automatic Labeling From S2A/S2C Tandem Phase, pages 43–50

Anjanappa, G.

• Learning from Maps to Update Them: A Deep Learning-Based Approach Using Multimodal Airborne Data, pages 1–9

Ankai, T.

• Effectiveness of Airborne LiDAR Intensity for Identifying Surface Fire Burned Areas in Wildfires, pages 887–894

Aragón, A. D.

• Community Managed vs. Protected Forests: A Remote Sensing Workflow for Assessing Forest Conservation in Liberia (2002–2024), pages 501–506

Armenakis, C.

• Estimation of surface nitrogen dioxide (NO₂) using TEMPO satellite data and machine learning, pages 157–162

Auer, M. R.

• Community Managed vs. Protected Forests: A Remote Sensing Workflow for Assessing Forest Conservation in Liberia (2002–2024), pages 501–506

Avikasis Cohen, T.

• Enhancing Oil Spill Interpretation Through Multisensor Fusion and Temporal Reconstruction: A Case Study Near the Strait of Gibraltar, pages 865–870

de Azevedo, S. C.

• Monitoring Landscape Dynamics via Multitemporal Classification at Comandante Ferraz Station neighborhood, Keller Peninsula, Antarctica, pages 565–571

B

Bai, X.

• Image-Level and Feature-Level Semantic-Aware Architecture for Cross Domain Semantic Segmentation of High-Resolution Remote Sensing Imagery, pages 193–198

Bakuła, K.

• Unsupervised tree species classification with UAV ultra-high resolution multispectral imaging, pages 351–358

Barbosa, R. S.

• Multiscale Multispectral–Hyperspectral Data for Estimating Coffee Yield Using Machine Learning Algorithms, pages 757–764

Barekati, H.

• Enhanced Ozone Downscaling in Megacities Using a SHAP-Optimized U-Net Model, pages 641–648

Barrett, B.

• Cube Kernel: A Novel Approach to Enable Local Gradient Flow Across Channels in CNNs, pages 109–116
• From Super-Resolution to Superior Land Cover Detection: Cross-Channel Attention Network for Aerial Image, pages 515–522

Beltrame, L.

• deSEO: Physics-Aware Dataset Creation for High-Resolution Satellite Image Shadow Removal, pages 11–18

Ben Ghorbel, Y.

• Synergizing Foundation Model Transfer and Phenological Information for Fine-Grained Forest Segmentation, pages 19–26

Benchadi, A.

• Imaging wind field from videos: an innovative tool for urban scale measurements, pages 27–34

Berard, D.

• Integrating Multi-Source Remote Sensing and Soil Attributes through Ensemble Learning for Large-Scale Soil Organic Carbon Estimation, pages 765–772

Bi, F.

• A Collaborative Detection Method of Small Unmanned Aerial Vehicle Target via Multi-modal Feature Fusion in Complex Background, pages 143–149

Bian, Z.

• A Multi Scale Strip-wise ConvNet for Infrared Image Stripe Removal, pages 383–392

Biegel, S.

• Country-wide, high-resolution monitoring of forest browning with Sentinel-2, pages 713–721

Blais, M.-A.

• Evaluating the Impact of Super-Resolution for Coastal Boundary Segmentation Using Deep Learning for High-Resolution Imagery, pages 35–42

Boivin, M.

• Automated Coastline Mapping Using Sentinel 2-based NDVI on Google Earth Engine: A Decision Support Tool for Diachronic Coastal Monitoring, pages 773–778

Bonari, G.

• Combining specialized Sentinel-2 time series features with AlphaEarth Foundations for forest type mapping, pages 117–124

Bonifacio, R.

• Using the Soil Brightness Indicator to inform Participatory Community Planning for SDG2 Projects – a case study in Dodoma, Tanzania, pages 617–624

Bosi, L.

• Using the Soil Brightness Indicator to inform Participatory Community Planning for SDG2 Projects – a case study in Dodoma, Tanzania, pages 617–624

Bottani, M.

• Near Real-Time Forest Loss Detection in the Brazilian Amazon Using Bayesian Fusion of Sentinel-1 SAR and Sentinel-2 Multispectral Time Series, pages 507–514

Brand, M.

• Comparing DeepLabv3+ and Depth Anything V2 on Canopy Height Model Prediction on a Continental Scale Dataset of Australia, pages 779–786

Bricca, A.

• Combining specialized Sentinel-2 time series features with AlphaEarth Foundations for forest type mapping, pages 117–124

Brook, A.

• Enhancing Oil Spill Interpretation Through Multisensor Fusion and Temporal Reconstruction: A Case Study Near the Strait of Gibraltar, pages 865–870

Brüggemann, D.

• Country-wide, high-resolution monitoring of forest browning with Sentinel-2, pages 713–721

Bulatov, D.

• Comparing DeepLabv3+ and Depth Anything V2 on Canopy Height Model Prediction on a Continental Scale Dataset of Australia, pages 779–786

Buthmann, G.

• Detecting Moving Vehicles on Sentinel-2 Imagery Using Semi-Automatic Labeling From S2A/S2C Tandem Phase, pages 43–50

El Bennioui, Y.

• Concealed Object Discrimination in Forested Areas Using PolTomoSAR with Various Baseline Configurations, pages 75–80

C

Cai, Y.

• Cube Kernel: A Novel Approach to Enable Local Gradient Flow Across Channels in CNNs, pages 109–116
• From Super-Resolution to Superior Land Cover Detection: Cross-Channel Attention Network for Aerial Image, pages 515–522

Calvia, G.

• Combining specialized Sentinel-2 time series features with AlphaEarth Foundations for forest type mapping, pages 117–124

Cardim, G. P.

• Monitoring Landscape Dynamics via Multitemporal Classification at Comandante Ferraz Station neighborhood, Keller Peninsula, Antarctica, pages 565–571

Cerra, D.

• A spatial and spectral Analysis of the Sentinel-2 nighttime Image, pages 359–366

Chang, M.

• Self-Modulation Aggregation within Dense Skip Connections for Mapping of Retrogressive Thaw Slumps, pages 687–693

Chang, T.

• Basal Melting and Potential Warm Water Intrusion Beneath Antarctic Ice Shelves, pages 679–685

Chang, X.

• Infrared-Visible Image Fusion Method Based on Differential Feature Enhancement and Cross-Modal Attention, pages 341–350
• Retrieval of aerosol optical/microphysical parameters of FY-4A geostationary satellite based on Transformer, pages 649–654
• Multi-Source Data Driven Forecasting of Extreme Heat Events Using an ARIMA–XGBoost Hybrid Framework, pages 911–917

Chaubey, N.

• A Novel Approach for Data Fusion of SAR (EOS-4) and Optical Multispectral (Sentinel-2) Data, pages 393–402

Chen, D.

• Fine-Grained Remote Sensing Imagery Generation Driven by Expert Knowledge and Hierarchical Captions, pages 253–260

Chen, J.

• Fine-Grained Remote Sensing Imagery Generation Driven by Expert Knowledge and Hierarchical Captions, pages 253–260

Chen, M.

• Land Cover Classification of Optical–SAR Imagery via Cross-Modal Interaction and Feature Alignment, pages 609–615

Chen, S.

• Knowledge Graph Enhanced for Zero-Shot Semantic Segmentation in Remote Sensing Imagery, pages 125–132

Chen, X.

• Deformation Monitoring and Analysis of Railway Bridges Integrating Time-Series InSAR and Finite-Element Modeling, pages 455–459

Chen, Y.

• Edge Knowledge Distillation Guided Lightweight Change Detection Network, pages 133–141

Chen, Z.

• Knowledge Graph Enhanced for Zero-Shot Semantic Segmentation in Remote Sensing Imagery, pages 125–132

Cheng, C.

• Edge Knowledge Distillation Guided Lightweight Change Detection Network, pages 133–141

Cheng, C.-H.

• ChangeDINO: DINOv3-Driven Building Change Detection in Optical Remote Sensing Imagery, pages 523–530

Cheon, J.

• Hie-DinoMamba: Hierarchical DINOv3 and Mamba Architecture for Multi-Class Building Change Detection, pages 601–608

Chirima, G.

• Evaluation of Machine Learning Methods for Estimation of Leaf Chlorophyll Content (LCC) Across 15 Soybean Cultivars During Early Reproductive Stage, pages 731–739

Cho, K.

• Implementation and validation of a new weather filter for reducing weather effect in the ASMR2 sea ice concentration data, pages 655–662

Ciccarello, S.

• Using the Soil Brightness Indicator to inform Participatory Community Planning for SDG2 Projects – a case study in Dodoma, Tanzania, pages 617–624

Comiso, J.

• Implementation and validation of a new weather filter for reducing weather effect in the ASMR2 sea ice concentration data, pages 655–662

Costa, R.

• Graph-Attention Network for Spatially-Aware Post-Hurricane Building Damage Assessment from UAV Imagery, pages 101–108

Crapolicchio, R.

• Practical Implementation and Adaptation of Rainforest-Based Inter-calibration for ESCAT-ASCAT Scatterometer Data Records, pages 411–417

Cremers, D.

• Evaluating Super-Resolution Models for Real-World Sentinel-2 Applications: A Case Study, pages 215–222

Curreli, C.

• Evaluating Super-Resolution Models for Real-World Sentinel-2 Applications: A Case Study, pages 215–222

da Cunha Vieira, L.

• Evaluating Mask R-CNN for instance segmentation of ceramic roofs in a Brazilian urban area using UAV imagery, pages 69–74
• Use of Remote Sensing and In Situ Monitoring to Evaluate Turbidity in an Open-Pit Mining Lake, pages 663–670

de Carvalho, L. H. V. V.

• Multiscale Multispectral–Hyperspectral Data for Estimating Coffee Yield Using Machine Learning Algorithms, pages 757–764

D

Dachsberger, S.

• Calibrated U-Net with HELIX-Based Label Enrichment for Ageing-Aware Spatio-Temporal Urban Change Detection, pages 959–966

Dadjoo, M.

• Leveraging Polarized Ku- and C-band Radar Backscatter Time Series for Sea Ice Thickness Prediction using Random Forest, pages 403–409

Dahle, F.

• Enhancing existing Remote-sensing Datasets with weakly supervised Deep Learning: A Case Study on Antarctic Rock outcrops, pages 671–678

Dai, H.

• Research on Identification Methods of Industrial Heat Source Integrating Thermal Anomaly Features, pages 377–382

Dai, J.

• Multi-modal semantic segmentation for open vocabulary interactions with remote sensing images, pages 51–60

Dare-Cullen, J.

• Effect of Hyperspectral Data Compression on Data Pre-processing: Analysis of Reconstruction Error Propagation, pages 367–375

Darvishzadeh, R.

• Remote Sensing of Maize Physiological and Nutrient Dynamics in Response to Fall Armyworm Infestation, pages 973–979

Dashora, A.

• Biomass Distribution Mapping of Boreal Forests using GEDI, Sentinel-2, and SRTM Data, pages 829–834

Deng, F.

• Knowledge Graph Enhanced for Zero-Shot Semantic Segmentation in Remote Sensing Imagery, pages 125–132

Dingemanse, M. I.

• A spatial and spectral Analysis of the Sentinel-2 nighttime Image, pages 359–366

Dong, J.

• Stereo SAR for Building Imaging, pages 427–432

Dong, K.

• Fine-Grained Remote Sensing Imagery Generation Driven by Expert Knowledge and Hierarchical Captions, pages 253–260

Dong, Q.

• Multi-Source Data Driven Forecasting of Extreme Heat Events Using an ARIMA–XGBoost Hybrid Framework, pages 911–917

Dong, T.

• A High-Precision Land-Sea Segmentation Model Based on the Deep Otsu Method, pages 531–537

Du, S.

• RefineNet: a Confidence-aware Deep Online Learning Framework to Refine Real-world Point Cloud Semantic Segmentation, pages 179–185

Dube, T.

• Remote Sensing of Maize Physiological and Nutrient Dynamics in Response to Fall Armyworm Infestation, pages 973–979

Duguay, Y.

• Automated Coastline Mapping Using Sentinel 2-based NDVI on Google Earth Engine: A Decision Support Tool for Diachronic Coastal Monitoring, pages 773–778

Dzurume, T.

• Remote Sensing of Maize Physiological and Nutrient Dynamics in Response to Fall Armyworm Infestation, pages 973–979

d’Angelo, P.

• Efficient Fine-Tuning For Building Damage Assessment with High-Resolution Optical Satellite Imagery: A Case Study for War Damage in Ukraine, pages 539–548

E

Erasmus, C.

• Shoreline extraction and coastal change detection from satellite SAR using thresholding-based methods, pages 871–878

Esfandyari Kaloukan, M.

• Drought Identification and Prediction from GNSS Time Series Using SSA and Hybrid CNN-Transformer, pages 625–632

F

Di Francesco, P.

• Monitoring Tropical Moist Forest Loss in Sierra Leone’s Protected Areas: Remote Sensing Insights from the Western Area Peninsula National Park, pages 723–730

Fagundes, H. D. O.

• Use of Remote Sensing and In Situ Monitoring to Evaluate Turbidity in an Open-Pit Mining Lake, pages 663–670

Fanta-Jende, P.

• deSEO: Physics-Aware Dataset Creation for High-Resolution Satellite Image Shadow Removal, pages 11–18

Fatehi, P.

• Long-term forest fire assessment over Zagros Forests, pages 919–926

Faure, J.-F.

• Preface: Technical Commission III (Remote Sensing), pages 995–995

Felten, B.

• Local Non-Maximum Suppression: Enhancing Object Detection in Large-Scale Remote Sensing Images via iterative pipelined Postprocessing, pages 81–90

Feng, N.

• Discussion on the ‘Integration of Four Databases’ for Natural Resources Survey and Monitoring in Beijing Based on the ‘Jiaxing Experience’, pages 549–554

Ferro-Famil, L.

• Near Real-Time Forest Loss Detection in the Brazilian Amazon Using Bayesian Fusion of Sentinel-1 SAR and Sentinel-2 Multispectral Time Series, pages 507–514

Ferro-famil, L.

• Concealed Object Discrimination in Forested Areas Using PolTomoSAR with Various Baseline Configurations, pages 75–80

Francis, F.

• Forest Canopy Height Mapping in Tanzanian Tropical Rainforests Using Multimodal Remote Sensing Data and Machine Learning, pages 835–842

Fraundorfer, F.

• Efficient Fine-Tuning For Building Damage Assessment with High-Resolution Optical Satellite Imagery: A Case Study for War Damage in Ukraine, pages 539–548

Fu, Z.

• Land Cover Classification of Optical–SAR Imagery via Cross-Modal Interaction and Feature Alignment, pages 609–615

G

Galvánek, D.

• Loss of Agricultural Land in Slovakia: Evidence from LPIS and Sentinel-2 Data, pages 981–988

Galvão de França, E. A.

• Pseudo-labeling strategy and U-Net for high-resolution LULC mapping using CBERS-04A imagery in the Servidão river basin, Brazil, pages 61–68

Gamba, P.

• Cross-City Transfer Learning for Sentinel-5P-Driven NO₂ Prediction in Data-Sparse Urban Environments, pages 633–640
• A Deep Learning Framework for Rapid Building Damage Detection through Multimodal Data Fusion: Application to the 2025 Myanmar Earthquake, pages 927–934

Gao, X.

• Research on Identification Methods of Industrial Heat Source Integrating Thermal Anomaly Features, pages 377–382

Gapp, S.

• Efficient Fine-Tuning For Building Damage Assessment with High-Resolution Optical Satellite Imagery: A Case Study for War Damage in Ukraine, pages 539–548

Garg, P. K.

• A Remote Sensing Approach to Identifying Drought Onset and Progression in Central India, pages 935–942

Garg, R. D.

• Spatiotemporal analysis and forecasting of ground deformation in Kolkata using PS-InSAR, pages 943–949

Gascon, F.

• A spatial and spectral Analysis of the Sentinel-2 nighttime Image, pages 359–366

Ge, X.

• Land Cover Classification of Optical–SAR Imagery via Cross-Modal Interaction and Feature Alignment, pages 609–615

Gebre, T. S.

• Multi-Modal Attention for Automated Disaster Damage Assessment Using Remote Sensing Imagery and Deep Learning, pages 879–885

Genzano, N.

• Leveraging Pretrained Priors for Weakly Supervised Semantic Segmentation of Remote Sensing Images, pages 163–172

Ghail, R. C.

• Observing the phenological characteristics of winter food crops with spectral indices, pages 741–748

Ghali, R.

• CFMap: A Deep Convolutional Neural Network for Predicting Wildfire Risk Maps, pages 173–178

Gianinetto, M.

• Leveraging Pretrained Priors for Weakly Supervised Semantic Segmentation of Remote Sensing Images, pages 163–172

Gikalo, E.

• Mind the Gap: Bridging Prior Shift in Realistic Few-shot Crop-type Classification, pages 787–795

Goga, T.

• Loss of Agricultural Land in Slovakia: Evidence from LPIS and Sentinel-2 Data, pages 981–988

Gomes, A.

• Preface: Technical Commission III (Remote Sensing), pages 995–995

González Santiago, J.

• Attention-driven Cross-modal Self-supervised Learning for Label-efficient Hyperspectral-LiDAR DSM Classification, pages 91–99

Gordon, M. D.

• Estimation of surface nitrogen dioxide (NO₂) using TEMPO satellite data and machine learning, pages 157–162

Graw, V.

• Using the Soil Brightness Indicator to inform Participatory Community Planning for SDG2 Projects – a case study in Dodoma, Tanzania, pages 617–624

Gross, W.

• Local Non-Maximum Suppression: Enhancing Object Detection in Large-Scale Remote Sensing Images via iterative pipelined Postprocessing, pages 81–90
• Attention-driven Cross-modal Self-supervised Learning for Label-efficient Hyperspectral-LiDAR DSM Classification, pages 91–99
• SpectralNet-X: Transformer-based Lossy Compression for Hyperspectral Satellite Data, pages 279–288
• Effect of Hyperspectral Data Compression on Data Pre-processing: Analysis of Reconstruction Error Propagation, pages 367–375

Grossi, F.

• Country-wide, high-resolution monitoring of forest browning with Sentinel-2, pages 713–721

Guo, W.

• Land Cover Classification of Optical–SAR Imagery via Cross-Modal Interaction and Feature Alignment, pages 609–615

de Gorostizaga, S.

• Using the Soil Brightness Indicator to inform Participatory Community Planning for SDG2 Projects – a case study in Dodoma, Tanzania, pages 617–624
• Monitoring Tropical Moist Forest Loss in Sierra Leone’s Protected Areas: Remote Sensing Insights from the Western Area Peninsula National Park, pages 723–730

H

Haghshenas Haghighi, M.

• Evaluating the Potential and Added Value of Interferometric Coherence in Flood Mapping Across Various Environments, pages 419–426
• Evaluating Ground Deformation in Low-Coherence Agricultural Areas Using Multi-Temporal InSAR Analysis, pages 433–440
• A New SAR Interferometry Approach to Linear Infrastructure Monitoring using Spatial Displacement Gradients, pages 447–454
• Modeling tunnel excavation in Taipei, Taiwan, using a Gaussian trough and single-look Sentinel-1 InSAR time series, pages 461–468
• Assessment of Hydrocarbon Production Induced Surface Deformation over Inglewood oilfield, Los Angeles, pages 485–492

Hahn, S.

• Practical Implementation and Adaptation of Rainforest-Based Inter-calibration for ESCAT-ASCAT Scatterometer Data Records, pages 411–417

Harrison, C.

• Practical Implementation and Adaptation of Rainforest-Based Inter-calibration for ESCAT-ASCAT Scatterometer Data Records, pages 411–417

Hasan, F.

• Graph-Attention Network for Spatially-Aware Post-Hurricane Building Damage Assessment from UAV Imagery, pages 101–108

Hashemi Beni, L.

• Integrating Unsupervised Change Detection and Deep Learning Segmentation for Automated Landslide Mapping, pages 857–863

Hashemi-Beni, L.

• Multi-Modal Attention for Automated Disaster Damage Assessment Using Remote Sensing Imagery and Deep Learning, pages 879–885

Haupt, S.

• Shoreline extraction and coastal change detection from satellite SAR using thresholding-based methods, pages 871–878

Hauser, S.

• Calibrated U-Net with HELIX-Based Label Enrichment for Ageing-Aware Spatio-Temporal Urban Change Detection, pages 959–966

He, B.

• Self-Modulation Aggregation within Dense Skip Connections for Mapping of Retrogressive Thaw Slumps, pages 687–693

He, Z.

• Cube Kernel: A Novel Approach to Enable Local Gradient Flow Across Channels in CNNs, pages 109–116
• From Super-Resolution to Superior Land Cover Detection: Cross-Channel Attention Network for Aerial Image, pages 515–522

Heipke, C.

• Detection of Illegal Landfills on Satellite Imagery Using a Multi-agent Framework, pages 849–856

Heizmann, M.

• Effect of Hyperspectral Data Compression on Data Pre-processing: Analysis of Reconstruction Error Propagation, pages 367–375

Henrique de Oliveira, M.

• Evaluating Mask R-CNN for instance segmentation of ceramic roofs in a Brazilian urban area using UAV imagery, pages 69–74

Henry, C.

• Efficient Fine-Tuning For Building Damage Assessment with High-Resolution Optical Satellite Imagery: A Case Study for War Damage in Ukraine, pages 539–548

Hiebl, B.

• Combining specialized Sentinel-2 time series features with AlphaEarth Foundations for forest type mapping, pages 117–124

Hinz, S.

• A Transformer-Based Framework for Spatiotemporal Unmixing of Land–Water Mixtures in Multispectral Satellite Data, pages 573–581
• Calibrated U-Net with HELIX-Based Label Enrichment for Ageing-Aware Spatio-Temporal Urban Change Detection, pages 959–966

Hnatushenko, V.

• Detection of Illegal Landfills on Satellite Imagery Using a Multi-agent Framework, pages 849–856
• Detection of Illegal Landfills on Satellite Imagery Using a Multi-agent Framework, pages 849–856

Homayouni, S.

• Drought Identification and Prediction from GNSS Time Series Using SSA and Hybrid CNN-Transformer, pages 625–632

Hopkins, W.

• Monitoring Tropical Moist Forest Loss in Sierra Leone’s Protected Areas: Remote Sensing Insights from the Western Area Peninsula National Park, pages 723–730

Hotaki, S. F.

• Evaluating the Potential and Added Value of Interferometric Coherence in Flood Mapping Across Various Environments, pages 419–426

Hsu, C. C.

• ChangeDINO: DINOv3-Driven Building Change Detection in Optical Remote Sensing Imagery, pages 523–530

Hu, B.

• A Structured Query Language Approach for processing Smartphone-based LiDAR of Understory Vegetation, pages 237–244

Hu, H.

• Land Cover Classification of Optical–SAR Imagery via Cross-Modal Interaction and Feature Alignment, pages 609–615

Huang, H.

• Impact of Geometric Priors: Advanced Fine-grained Airplane Detection with Geometric Details in High-resolution Satellite Images, pages 289–296

Huang, W.

• Knowledge Graph Enhanced for Zero-Shot Semantic Segmentation in Remote Sensing Imagery, pages 125–132

Huang, X.

• Edge Knowledge Distillation Guided Lightweight Change Detection Network, pages 133–141

Huang, Y.

• Concealed Object Discrimination in Forested Areas Using PolTomoSAR with Various Baseline Configurations, pages 75–80

van der Heide, D.

• RefineNet: a Confidence-aware Deep Online Learning Framework to Refine Real-world Point Cloud Semantic Segmentation, pages 179–185

I

Ibrahim, I.

• Remote Sensing of Maize Physiological and Nutrient Dynamics in Response to Fall Armyworm Infestation, pages 973–979

Iran-Pour, S.

• Drought Identification and Prediction from GNSS Time Series Using SSA and Hybrid CNN-Transformer, pages 625–632

Isleem, W. R. S.

• Remote Sensing of Maize Physiological and Nutrient Dynamics in Response to Fall Armyworm Infestation, pages 973–979

Isleifson, D.

• Leveraging Polarized Ku- and C-band Radar Backscatter Time Series for Sea Ice Thickness Prediction using Random Forest, pages 403–409

Iwaszczuk, D.

• Comparing DeepLabv3+ and Depth Anything V2 on Canopy Height Model Prediction on a Continental Scale Dataset of Australia, pages 779–786

J

Jabrane, M.

• A Comparison of CNN, Transformer, and Open-Vocabulary Architectures for Real-Time Photovoltaic Defect Detection Using UAV Thermal Imagery, pages 261–267

Jain, K.

• Spatiotemporal analysis and forecasting of ground deformation in Kolkata using PS-InSAR, pages 943–949

Jamali, S.

• Forest Canopy Height Mapping in Tanzanian Tropical Rainforests Using Multimodal Remote Sensing Data and Machine Learning, pages 835–842

Jangir, S. K.

• Evaluating Super-Resolution Models for Real-World Sentinel-2 Applications: A Case Study, pages 215–222

Janku, F.

• Cross-City Transfer Learning for Sentinel-5P-Driven NO₂ Prediction in Data-Sparse Urban Environments, pages 633–640

Ji, T.

• Edge Knowledge Distillation Guided Lightweight Change Detection Network, pages 133–141

Jiang, W.

• A Collaborative Detection Method of Small Unmanned Aerial Vehicle Target via Multi-modal Feature Fusion in Complex Background, pages 143–149
• Stereo SAR for Building Imaging, pages 427–432

Juan, G.

• Discussion on the ‘Integration of Four Databases’ for Natural Resources Survey and Monitoring in Beijing Based on the ‘Jiaxing Experience’, pages 549–554

Jun, W.

• Discussion on the ‘Integration of Four Databases’ for Natural Resources Survey and Monitoring in Beijing Based on the ‘Jiaxing Experience’, pages 549–554

K

Kachi, M.

• Implementation and validation of a new weather filter for reducing weather effect in the ASMR2 sea ice concentration data, pages 655–662

Kakogeorgiou, I.

• Detecting Marine Pollutants Using Sentinel-1 SAR and Sentinel-2 Optical Imagery, pages 187–192

Kakroodi, A. A.

• Enhanced Ozone Downscaling in Megacities Using a SHAP-Optimized U-Net Model, pages 641–648

Kakuno, T.

• Effectiveness of Airborne LiDAR Intensity for Identifying Surface Fire Burned Areas in Wildfires, pages 887–894

Kalantar, B.

• A Spatiotemporal Evaluation Framework for MODIS-Derived Fire Events, pages 151–156

Kaneta, S.-I.

• A Segmentation-Based Multimodal Framework for Operational Landslide Mapping Using Post-Event SAR, pages 895–902

Kapilaratne, R. G. C. J.

• A Segmentation-Based Multimodal Framework for Operational Landslide Mapping Using Post-Event SAR, pages 895–902

Karanam, V.

• Assessment of Hydrocarbon Production Induced Surface Deformation over Inglewood oilfield, Los Angeles, pages 485–492

Karantzalos, K.

• Detecting Marine Pollutants Using Sentinel-1 SAR and Sentinel-2 Optical Imagery, pages 187–192

Karbou, F.

• Tracking Snow Avalanches: Integrating Field Observations and Satellite-Derived Indicators, pages 903–910

Karlshöfer, P.

• Evaluating Super-Resolution Models for Real-World Sentinel-2 Applications: A Case Study, pages 215–222

Karmas, A.

• Detecting Marine Pollutants Using Sentinel-1 SAR and Sentinel-2 Optical Imagery, pages 187–192

Karwowska, K.

• Application of machine learning methods and Sentinel-2 data for multitemporal land-cover classification in conflict-affected areas, pages 555–563

Kaushik, S.

• Tracking Snow Avalanches: Integrating Field Observations and Satellite-Derived Indicators, pages 903–910

Kemper, H.

• Using the Soil Brightness Indicator to inform Participatory Community Planning for SDG2 Projects – a case study in Dodoma, Tanzania, pages 617–624
• Monitoring Tropical Moist Forest Loss in Sierra Leone’s Protected Areas: Remote Sensing Insights from the Western Area Peninsula National Park, pages 723–730

Khankeshizadeh, S. E.

• Forest Canopy Height Mapping in Tanzanian Tropical Rainforests Using Multimodal Remote Sensing Data and Machine Learning, pages 835–842

Khoshelham, K.

• Synthetic Forest: A UAV Laser Scanning Benchmark Dataset for Individual Tree Segmentation, Classification, and Wood Volume Estimation, pages 245–251

Kiavarz Moghaddam, H.

• Enhanced Ozone Downscaling in Megacities Using a SHAP-Optimized U-Net Model, pages 641–648

Kiessling, A.

• Predicting plant diversity in revegetated grasslands with Sentinel-2: comparing performance of spatio-temporal features with input time series, pages 749–755

Kikaki, K.

• Detecting Marine Pollutants Using Sentinel-1 SAR and Sentinel-2 Optical Imagery, pages 187–192

Kim, H.

• Hie-DinoMamba: Hierarchical DINOv3 and Mamba Architecture for Multi-Class Building Change Detection, pages 601–608

Kolahi, N.

• Estimation of surface nitrogen dioxide (NO₂) using TEMPO satellite data and machine learning, pages 157–162

Kopecká, M.

• Loss of Agricultural Land in Slovakia: Evidence from LPIS and Sentinel-2 Data, pages 981–988

Koshimura, S.

• Flood Depth Mapping from SAR Imagery Using CS-Mamba with DEM Sensitivity Analysis, pages 493–500

Krenz, J.

• Particle Swarm Optimization for Woody Vegetation Assessment in a Semi-Arid Savannah Ecosystem, pages 583–592

Kriek, C.

• Evaluation of Machine Learning Methods for Estimation of Leaf Chlorophyll Content (LCC) Across 15 Soybean Cultivars During Early Reproductive Stage, pages 731–739

Kuester, J.

• SpectralNet-X: Transformer-based Lossy Compression for Hyperspectral Satellite Data, pages 279–288
• Effect of Hyperspectral Data Compression on Data Pre-processing: Analysis of Reconstruction Error Propagation, pages 367–375

Kuhn, B.

• Particle Swarm Optimization for Woody Vegetation Assessment in a Semi-Arid Savannah Ecosystem, pages 583–592

Kuhn, N. J.

• Particle Swarm Optimization for Woody Vegetation Assessment in a Semi-Arid Savannah Ecosystem, pages 583–592

Kulkarni, S.

• Integrating Multi-Source Remote Sensing and Soil Attributes through Ensemble Learning for Large-Scale Soil Organic Carbon Estimation, pages 765–772

Körner, M.

• deSEO: Physics-Aware Dataset Creation for High-Resolution Satellite Image Shadow Removal, pages 11–18
• Mind the Gap: Bridging Prior Shift in Realistic Few-shot Crop-type Classification, pages 787–795

L

Lampert, J.

• deSEO: Physics-Aware Dataset Creation for High-Resolution Satellite Image Shadow Removal, pages 11–18

Laurie, S.

• Development of a transferrable hybrid retrieval model for mapping sweet potato chlorophyll at matured growth stage using ultra high-resolution UAV data, pages 813–819

Lawrence, J. A.

• Observing the phenological characteristics of winter food crops with spectral indices, pages 741–748

Lecours, V.

• Automated Coastline Mapping Using Sentinel 2-based NDVI on Google Earth Engine: A Decision Support Tool for Diachronic Coastal Monitoring, pages 773–778

Lee, I.

• Hie-DinoMamba: Hierarchical DINOv3 and Mamba Architecture for Multi-Class Building Change Detection, pages 601–608

Lesani, A.

• Graph-Attention Network for Spatially-Aware Post-Hurricane Building Damage Assessment from UAV Imagery, pages 101–108

Levick, S.

• Comparing DeepLabv3+ and Depth Anything V2 on Canopy Height Model Prediction on a Continental Scale Dataset of Australia, pages 779–786

Lewińska, M.

• Application of machine learning methods and Sentinel-2 data for multitemporal land-cover classification in conflict-affected areas, pages 555–563

Li, H.

• Knowledge Graph Enhanced for Zero-Shot Semantic Segmentation in Remote Sensing Imagery, pages 125–132
• Infrared-Visible Image Fusion Method Based on Differential Feature Enhancement and Cross-Modal Attention, pages 341–350

Li, H.-Y.

• Observing the phenological characteristics of winter food crops with spectral indices, pages 741–748

Li, J.

• LAD-Enhancer: A Lightweight All in One Aerial Detection Enhancer Under Adverse Weather, pages 307–313
• Temporal Variation-Guided Self-Supervised PolSAR Despeckling Network, pages 477–483

Li, L.

• Temporal-Spatial Tubelet Embedding for Cloud-Robust MSI Reconstruction using MSI-SAR Fusion: A Multi-Head Self-Attention Video Vision Transformer Approach, pages 315–323

Li, M.

• Seasonal-Aware Scale-Semantic Consistency Alignment Change Detection Network, pages 593–600

Li, N.

• Building Deformation Monitoring and Safety Risk Assessment Based on PSI Technology, pages 843–848

Li, R.

• Basal Melting and Potential Warm Water Intrusion Beneath Antarctic Ice Shelves, pages 679–685

Li, X.

• Leveraging Pretrained Priors for Weakly Supervised Semantic Segmentation of Remote Sensing Images, pages 163–172
• Image-Level and Feature-Level Semantic-Aware Architecture for Cross Domain Semantic Segmentation of High-Resolution Remote Sensing Imagery, pages 193–198

Li, Z.

• Validation of global land-ocean aerosol products retrieved from the DPC-2/GF-5(02) on-orbit measurements, pages 989–994

Liao, D.

• Retrieval of aerosol optical/microphysical parameters of FY-4A geostationary satellite based on Transformer, pages 649–654
• Multi-Source Data Driven Forecasting of Extreme Heat Events Using an ARIMA–XGBoost Hybrid Framework, pages 911–917

Lin, L.

• LAD-Enhancer: A Lightweight All in One Aerial Detection Enhancer Under Adverse Weather, pages 307–313
• Temporal Variation-Guided Self-Supervised PolSAR Despeckling Network, pages 477–483

Lin, Y.

• A Collaborative Detection Method of Small Unmanned Aerial Vehicle Target via Multi-modal Feature Fusion in Complex Background, pages 143–149
• Stereo SAR for Building Imaging, pages 427–432

Lindenbergh, R.

• Enhancing existing Remote-sensing Datasets with weakly supervised Deep Learning: A Case Study on Antarctic Rock outcrops, pages 671–678
• Spatial Aerodynamic Roughness of Forested Landscapes from Airborne LiDAR, pages 695–704

Lindgrén, P.

• Predicting plant diversity in revegetated grasslands with Sentinel-2: comparing performance of spatio-temporal features with input time series, pages 749–755

Lindorfer, R.

• Practical Implementation and Adaptation of Rainforest-Based Inter-calibration for ESCAT-ASCAT Scatterometer Data Records, pages 411–417

Ling, J.

• Retrieval of aerosol optical/microphysical parameters of FY-4A geostationary satellite based on Transformer, pages 649–654

Liu, C.

• Flood Depth Mapping from SAR Imagery Using CS-Mamba with DEM Sensitivity Analysis, pages 493–500

Liu, H.

• Knowledge Graph Enhanced for Zero-Shot Semantic Segmentation in Remote Sensing Imagery, pages 125–132

Liu, S.

• Infrared-Visible Image Fusion Method Based on Differential Feature Enhancement and Cross-Modal Attention, pages 341–350
• Retrieval of aerosol optical/microphysical parameters of FY-4A geostationary satellite based on Transformer, pages 649–654
• Multi-Source Data Driven Forecasting of Extreme Heat Events Using an ARIMA–XGBoost Hybrid Framework, pages 911–917

Liu, W.

• Fine-Grained Remote Sensing Imagery Generation Driven by Expert Knowledge and Hierarchical Captions, pages 253–260

Liu, Y.

• Research on Identification Methods of Industrial Heat Source Integrating Thermal Anomaly Features, pages 377–382

Long, P.

• Multi-Source Data Driven Forecasting of Extreme Heat Events Using an ARIMA–XGBoost Hybrid Framework, pages 911–917

Lopes, L.

• CFMap: A Deep Convolutional Neural Network for Predicting Wildfire Risk Maps, pages 173–178

Lucchino, P.

• Using the Soil Brightness Indicator to inform Participatory Community Planning for SDG2 Projects – a case study in Dodoma, Tanzania, pages 617–624

Lutterbach, T. L.

• Evaluating Mask R-CNN for instance segmentation of ceramic roofs in a Brazilian urban area using UAV imagery, pages 69–74

Lytvynov, Y.

• Detection of Illegal Landfills on Satellite Imagery Using a Multi-agent Framework, pages 849–856

M

Ma, M.

• Evaluating Ground Deformation in Low-Coherence Agricultural Areas Using Multi-Temporal InSAR Analysis, pages 433–440

Ma, Q.

• Deformation Monitoring and Analysis of Railway Bridges Integrating Time-Series InSAR and Finite-Element Modeling, pages 455–459

Ma, W.

• Edge Knowledge Distillation Guided Lightweight Change Detection Network, pages 133–141

Ma, X.

• Multi-modal semantic segmentation for open vocabulary interactions with remote sensing images, pages 51–60

Madanu, S. C.

• RefineNet: a Confidence-aware Deep Online Learning Framework to Refine Real-world Point Cloud Semantic Segmentation, pages 179–185

Madden, M.

• Predictive Modeling of Urban Heat Islands in Indian Cities: A Case Study of Jaipur city, Rajasthan, India, pages 333–339
• Community Managed vs. Protected Forests: A Remote Sensing Workflow for Assessing Forest Conservation in Liberia (2002–2024), pages 501–506

Maldonado, A.

• Self-Modulation Aggregation within Dense Skip Connections for Mapping of Retrogressive Thaw Slumps, pages 687–693

Malihi, S.

• Drought Identification and Prediction from GNSS Time Series Using SSA and Hybrid CNN-Transformer, pages 625–632

Manesis, J.

• Detecting Marine Pollutants Using Sentinel-1 SAR and Sentinel-2 Optical Imagery, pages 187–192

Mansour, I.

• Towards Country-Wide LoD1 City Model Reconstruction of from TanDEM-X Intensity Images, pages 469–475

Marinho Pardo Lucas, M.

• Pseudo-labeling strategy and U-Net for high-resolution LULC mapping using CBERS-04A imagery in the Servidão river basin, Brazil, pages 61–68

Marques de Magalhães, D.

• Pseudo-labeling strategy and U-Net for high-resolution LULC mapping using CBERS-04A imagery in the Servidão river basin, Brazil, pages 61–68
• Evaluating Mask R-CNN for instance segmentation of ceramic roofs in a Brazilian urban area using UAV imagery, pages 69–74
• Use of Remote Sensing and In Situ Monitoring to Evaluate Turbidity in an Open-Pit Mining Lake, pages 663–670

Martins, G. D.

• Multiscale Multispectral–Hyperspectral Data for Estimating Coffee Yield Using Machine Learning Algorithms, pages 757–764

Mason, P. J.

• Observing the phenological characteristics of winter food crops with spectral indices, pages 741–748

Mauro, F.

• Cross-City Transfer Learning for Sentinel-5P-Driven NO₂ Prediction in Data-Sparse Urban Environments, pages 633–640

Mauss, A.

• Tracking Snow Avalanches: Integrating Field Observations and Satellite-Derived Indicators, pages 903–910

Mauya, E. W.

• Forest Canopy Height Mapping in Tanzanian Tropical Rainforests Using Multimodal Remote Sensing Data and Machine Learning, pages 835–842

Mayer, H.

• Impact of Geometric Priors: Advanced Fine-grained Airplane Detection with Geometric Details in High-resolution Satellite Images, pages 289–296

McVicar, T. R.

• Comparing DeepLabv3+ and Depth Anything V2 on Canopy Height Model Prediction on a Continental Scale Dataset of Australia, pages 779–786

Meier, A.

• Particle Swarm Optimization for Woody Vegetation Assessment in a Semi-Arid Savannah Ecosystem, pages 583–592

Melzer, T.

• Practical Implementation and Adaptation of Rainforest-Based Inter-calibration for ESCAT-ASCAT Scatterometer Data Records, pages 411–417

Memar, B.

• Cross-City Transfer Learning for Sentinel-5P-Driven NO₂ Prediction in Data-Sparse Urban Environments, pages 633–640

Menenti, M.

• Spatial Aerodynamic Roughness of Forested Landscapes from Airborne LiDAR, pages 695–704

Merkle, N.

• Efficient Fine-Tuning For Building Damage Assessment with High-Resolution Optical Satellite Imagery: A Case Study for War Damage in Ukraine, pages 539–548

Miao, J.

• Image-Level and Feature-Level Semantic-Aware Architecture for Cross Domain Semantic Segmentation of High-Resolution Remote Sensing Imagery, pages 193–198

Michel, A.

• Local Non-Maximum Suppression: Enhancing Object Detection in Large-Scale Remote Sensing Images via iterative pipelined Postprocessing, pages 81–90
• SpectralNet-X: Transformer-based Lossy Compression for Hyperspectral Satellite Data, pages 279–288
• Effect of Hyperspectral Data Compression on Data Pre-processing: Analysis of Reconstruction Error Propagation, pages 367–375

Middelmann, W.

• Attention-driven Cross-modal Self-supervised Learning for Label-efficient Hyperspectral-LiDAR DSM Classification, pages 91–99

Mikeli, P.

• Detecting Marine Pollutants Using Sentinel-1 SAR and Sentinel-2 Optical Imagery, pages 187–192

Milic, I.

• Using the Soil Brightness Indicator to inform Participatory Community Planning for SDG2 Projects – a case study in Dodoma, Tanzania, pages 617–624
• Monitoring Tropical Moist Forest Loss in Sierra Leone’s Protected Areas: Remote Sensing Insights from the Western Area Peninsula National Park, pages 723–730

Mishra, N.

• A Novel Approach for Data Fusion of SAR (EOS-4) and Optical Multispectral (Sentinel-2) Data, pages 393–402

Mishra, R. K.

• Biomass Distribution Mapping of Boreal Forests using GEDI, Sentinel-2, and SRTM Data, pages 829–834

Mizoguchi, T.

• Tree Species Classification Based on Detailed Shape Evaluation of Bark and Leaf Using Deep Learning, pages 199–204

Mochizuki, K.

• Evaluating GAN-Based RGB Image Translation Using ALOS-2 Polarimetric SAR Data for Agricultural Monitoring, pages 797–803

Modugno, S.

• Using the Soil Brightness Indicator to inform Participatory Community Planning for SDG2 Projects – a case study in Dodoma, Tanzania, pages 617–624

Mohammadzadeh, A.

• Forest Canopy Height Mapping in Tanzanian Tropical Rainforests Using Multimodal Remote Sensing Data and Machine Learning, pages 835–842

Mohite, J.

• Integrating Multi-Source Remote Sensing and Soil Attributes through Ensemble Learning for Large-Scale Soil Organic Carbon Estimation, pages 765–772

Moleleki, L.

• Development of a transferrable hybrid retrieval model for mapping sweet potato chlorophyll at matured growth stage using ultra high-resolution UAV data, pages 813–819

Molinier, M.

• Predicting plant diversity in revegetated grasslands with Sentinel-2: comparing performance of spatio-temporal features with input time series, pages 749–755

Motagh, M.

• Evaluating the Potential and Added Value of Interferometric Coherence in Flood Mapping Across Various Environments, pages 419–426
• Evaluating Ground Deformation in Low-Coherence Agricultural Areas Using Multi-Temporal InSAR Analysis, pages 433–440
• A New SAR Interferometry Approach to Linear Infrastructure Monitoring using Spatial Displacement Gradients, pages 447–454
• Modeling tunnel excavation in Taipei, Taiwan, using a Gaussian trough and single-look Sentinel-1 InSAR time series, pages 461–468
• Assessment of Hydrocarbon Production Induced Surface Deformation over Inglewood oilfield, Los Angeles, pages 485–492

Motalebizade, F.

• Long-term forest fire assessment over Zagros Forests, pages 919–926

Moufid, O.

• Assessing the Impact of Spatial Resolution on Morphological Spatial Pattern Analysis of Urban Green Infrastructure Connectivity: A Case Study of Miami-Dade County, USA, pages 205–213

Mphela, W.

• Development of a transferrable hybrid retrieval model for mapping sweet potato chlorophyll at matured growth stage using ultra high-resolution UAV data, pages 813–819

Muir, S.

• Using the Soil Brightness Indicator to inform Participatory Community Planning for SDG2 Projects – a case study in Dodoma, Tanzania, pages 617–624
• Monitoring Tropical Moist Forest Loss in Sierra Leone’s Protected Areas: Remote Sensing Insights from the Western Area Peninsula National Park, pages 723–730

Murugan, M.

• AI Indexing of Aerial LiDAR Point Cloud for Efficient Query, pages 223–229

Mutreja, G.

• Synergizing Foundation Model Transfer and Phenological Information for Fine-Grained Forest Segmentation, pages 19–26

Mühlhaus, R.

• Evaluating Super-Resolution Models for Real-World Sentinel-2 Applications: A Case Study, pages 215–222

N

Nascimento, E. S.

• Monitoring Landscape Dynamics via Multitemporal Classification at Comandante Ferraz Station neighborhood, Keller Peninsula, Antarctica, pages 565–571

Nelson, A.

• Remote Sensing of Maize Physiological and Nutrient Dynamics in Response to Fall Armyworm Infestation, pages 973–979

Neumann, I.

• Large-Scale InSAR Deformation Monitoring Using Realistic Simulation-Based Training of a Temporal Convolutional Network: Application to the Phlegraean Fields, Italy, pages 269–278

Nguyen, A. B.

• A Transformer-Based Framework for Spatiotemporal Unmixing of Land–Water Mixtures in Multispectral Satellite Data, pages 573–581

Ning, X.

• Edge Knowledge Distillation Guided Lightweight Change Detection Network, pages 133–141
• Seasonal-Aware Scale-Semantic Consistency Alignment Change Detection Network, pages 593–600

Nyamugama, A.

• Evaluation of Machine Learning Methods for Estimation of Leaf Chlorophyll Content (LCC) Across 15 Soybean Cultivars During Early Reproductive Stage, pages 731–739

Nyathi, N. A.

• Particle Swarm Optimization for Woody Vegetation Assessment in a Semi-Arid Savannah Ecosystem, pages 583–592

O

Ogunlesi, F. A.

• Principal component analysis of UAV-derived vegetation indices and laboratory tissue nutrients for crop health assessment, pages 705–712

Omidalizarandi, M.

• Large-Scale InSAR Deformation Monitoring Using Realistic Simulation-Based Training of a Temporal Convolutional Network: Application to the Phlegraean Fields, Italy, pages 269–278

Opravil, Š.

• Loss of Agricultural Land in Slovakia: Evidence from LPIS and Sentinel-2 Data, pages 981–988

Osako, L. S.

• Flood mapping using multi-temporal Sentinel-1 SAR images: A case study from Lower Tubarão River Sub-basin, Santa Catarina State, Brazil, pages 441–446

Oude Elberink, S.

• Learning from Maps to Update Them: A Deep Learning-Based Approach Using Multimodal Airborne Data, pages 1–9

Ouzaka, A.

• Automated Coastline Mapping Using Sentinel 2-based NDVI on Google Earth Engine: A Decision Support Tool for Diachronic Coastal Monitoring, pages 773–778

de Oliveira, V. D.

• Evaluating Mask R-CNN for instance segmentation of ceramic roofs in a Brazilian urban area using UAV imagery, pages 69–74

P

Pandey, S.

• A Novel Approach for Data Fusion of SAR (EOS-4) and Optical Multispectral (Sentinel-2) Data, pages 393–402

Pandit, A.

• Integrating Multi-Source Remote Sensing and Soil Attributes through Ensemble Learning for Large-Scale Soil Organic Carbon Estimation, pages 765–772

Parulekar, B.

• Segmentation-driven statistics-aware workflow for detailed scene description of UAV images using Mistral and LORA powered model, pages 231–236

Peng, T.

• Multi-modal semantic segmentation for open vocabulary interactions with remote sensing images, pages 51–60

Pina, P.

• Monitoring Landscape Dynamics via Multitemporal Classification at Comandante Ferraz Station neighborhood, Keller Peninsula, Antarctica, pages 565–571

Pini, G.

• Using the Soil Brightness Indicator to inform Participatory Community Planning for SDG2 Projects – a case study in Dodoma, Tanzania, pages 617–624
• Monitoring Tropical Moist Forest Loss in Sierra Leone’s Protected Areas: Remote Sensing Insights from the Western Area Peninsula National Park, pages 723–730

Pirasteh, S.

• The survivorship bias in remote sensing, pages 967–972

Piter, A.

• A New SAR Interferometry Approach to Linear Infrastructure Monitoring using Spatial Displacement Gradients, pages 447–454

Pittman, R.

• A Structured Query Language Approach for processing Smartphone-based LiDAR of Understory Vegetation, pages 237–244

Polidori, L.

• Preface: Technical Commission III (Remote Sensing), pages 995–995
• The survivorship bias in remote sensing, pages 967–972

Poucin, F.

• Detecting Moving Vehicles on Sentinel-2 Imagery Using Semi-Automatic Labeling From S2A/S2C Tandem Phase, pages 43–50

Pourdelan, H.

• Synthetic Forest: A UAV Laser Scanning Benchmark Dataset for Individual Tree Segmentation, Classification, and Wood Volume Estimation, pages 245–251

Praharaj, S.

• Assessing the Impact of Spatial Resolution on Morphological Spatial Pattern Analysis of Urban Green Infrastructure Connectivity: A Case Study of Miami-Dade County, USA, pages 205–213

Pucino, N.

• Comparing DeepLabv3+ and Depth Anything V2 on Canopy Height Model Prediction on a Continental Scale Dataset of Australia, pages 779–786

Q

Qin, X.

• Deformation Monitoring and Analysis of Railway Bridges Integrating Time-Series InSAR and Finite-Element Modeling, pages 455–459

Qiu, K.

• Comparing DeepLabv3+ and Depth Anything V2 on Canopy Height Model Prediction on a Continental Scale Dataset of Australia, pages 779–786

R

Ramiya, A. M.

• AI Indexing of Aerial LiDAR Point Cloud for Efficient Query, pages 223–229
• Segmentation-driven statistics-aware workflow for detailed scene description of UAV images using Mistral and LORA powered model, pages 231–236
• Improving Urban Point Cloud Classification Using Dynamic Local Context-Based Point Confidence, pages 297–305

Ramoelo, A.

• Development of a transferrable hybrid retrieval model for mapping sweet potato chlorophyll at matured growth stage using ultra high-resolution UAV data, pages 813–819

Ran, W.

• Flood Depth Mapping from SAR Imagery Using CS-Mamba with DEM Sensitivity Analysis, pages 493–500

Rani B., A.

• A Novel Approach for Data Fusion of SAR (EOS-4) and Optical Multispectral (Sentinel-2) Data, pages 393–402

Ravindran, R.

• Comparing DeepLabv3+ and Depth Anything V2 on Canopy Height Model Prediction on a Continental Scale Dataset of Australia, pages 779–786

Recla, M.

• Towards Country-Wide LoD1 City Model Reconstruction of from TanDEM-X Intensity Images, pages 469–475

Ren, J.

• Fine-Grained Remote Sensing Imagery Generation Driven by Expert Knowledge and Hierarchical Captions, pages 253–260

Renouard, T.

• Using the Soil Brightness Indicator to inform Participatory Community Planning for SDG2 Projects – a case study in Dodoma, Tanzania, pages 617–624

Reuss, J.

• Mind the Gap: Bridging Prior Shift in Realistic Few-shot Crop-type Classification, pages 787–795

Rivas, E.

• Modeling tunnel excavation in Taipei, Taiwan, using a Gaussian trough and single-look Sentinel-1 InSAR time series, pages 461–468

Rusnák, M.

• Loss of Agricultural Land in Slovakia: Evidence from LPIS and Sentinel-2 Data, pages 981–988

Russo, L.

• Cross-City Transfer Learning for Sentinel-5P-Driven NO₂ Prediction in Data-Sparse Urban Environments, pages 633–640
• A Deep Learning Framework for Rapid Building Damage Detection through Multimodal Data Fusion: Application to the 2025 Myanmar Earthquake, pages 927–934

Rutzinger, M.

• Combining specialized Sentinel-2 time series features with AlphaEarth Foundations for forest type mapping, pages 117–124
• Evaluating the Potential of annual Sentinel-1 Composites for Bark Beetle Infestation Detection, pages 805–812

S

De Sousa Lima, L. A.

• Unsupervised tree species classification with UAV ultra-high resolution multispectral imaging, pages 351–358

Saha, K.

• Predictive Modeling of Urban Heat Islands in Indian Cities: A Case Study of Jaipur city, Rajasthan, India, pages 333–339

Sahu, H.

• A Remote Sensing Approach to Identifying Drought Onset and Progression in Central India, pages 935–942

Salah, A.

• A Comparison of CNN, Transformer, and Open-Vocabulary Architectures for Real-Time Photovoltaic Defect Detection Using UAV Thermal Imagery, pages 261–267

Salzinger, J.

• deSEO: Physics-Aware Dataset Creation for High-Resolution Satellite Image Shadow Removal, pages 11–18

Santos, M. C. L.

• Multiscale Multispectral–Hyperspectral Data for Estimating Coffee Yield Using Machine Learning Algorithms, pages 757–764

Satou, T.

• Effectiveness of Airborne LiDAR Intensity for Identifying Surface Fire Burned Areas in Wildfires, pages 887–894

Sawant, S.

• Integrating Multi-Source Remote Sensing and Soil Attributes through Ensemble Learning for Large-Scale Soil Organic Carbon Estimation, pages 765–772

Scaioni, M.

• Leveraging Pretrained Priors for Weakly Supervised Semantic Segmentation of Remote Sensing Images, pages 163–172

Schenk, A.

• A Transformer-Based Framework for Spatiotemporal Unmixing of Land–Water Mixtures in Multispectral Satellite Data, pages 573–581

Schindler, K.

• Country-wide, high-resolution monitoring of forest browning with Sentinel-2, pages 713–721

Schmitt, A.

• Calibrated U-Net with HELIX-Based Label Enrichment for Ageing-Aware Spatio-Temporal Urban Change Detection, pages 959–966

Schmitt, M.

• Towards Country-Wide LoD1 City Model Reconstruction of from TanDEM-X Intensity Images, pages 469–475

Schreiner, S.

• Effect of Hyperspectral Data Compression on Data Pre-processing: Analysis of Reconstruction Error Propagation, pages 367–375

Schulz, K.

• Attention-driven Cross-modal Self-supervised Learning for Label-efficient Hyperspectral-LiDAR DSM Classification, pages 91–99

Sebari, I.

• A Comparison of CNN, Transformer, and Open-Vocabulary Architectures for Real-Time Photovoltaic Defect Detection Using UAV Thermal Imagery, pages 261–267

Sebastianelli, A.

• Cross-City Transfer Learning for Sentinel-5P-Driven NO₂ Prediction in Data-Sparse Urban Environments, pages 633–640

Sekrecka, A.

• Application of machine learning methods and Sentinel-2 data for multitemporal land-cover classification in conflict-affected areas, pages 555–563

Shahryarinia, K.

• Large-Scale InSAR Deformation Monitoring Using Realistic Simulation-Based Training of a Temporal Convolutional Network: Application to the Phlegraean Fields, Italy, pages 269–278

Shao, B.

• Seasonal-Aware Scale-Semantic Consistency Alignment Change Detection Network, pages 593–600

Sheikh, J.

• SpectralNet-X: Transformer-based Lossy Compression for Hyperspectral Satellite Data, pages 279–288
• Effect of Hyperspectral Data Compression on Data Pre-processing: Analysis of Reconstruction Error Propagation, pages 367–375

Shen, H.

• LAD-Enhancer: A Lightweight All in One Aerial Detection Enhancer Under Adverse Weather, pages 307–313
• Temporal Variation-Guided Self-Supervised PolSAR Despeckling Network, pages 477–483

Shen, W.

• Stereo SAR for Building Imaging, pages 427–432

Shi, S.

• Temporal Variation-Guided Self-Supervised PolSAR Despeckling Network, pages 477–483

Shibasaki, R.

• Flood Depth Mapping from SAR Imagery Using CS-Mamba with DEM Sensitivity Analysis, pages 493–500

Shimada, R.

• Implementation and validation of a new weather filter for reducing weather effect in the ASMR2 sea ice concentration data, pages 655–662

Shimaoka, H.

• Evaluating GAN-Based RGB Image Translation Using ALOS-2 Polarimetric SAR Data for Agricultural Monitoring, pages 797–803

Shokri, D.

• Drought Identification and Prediction from GNSS Time Series Using SSA and Hybrid CNN-Transformer, pages 625–632

Sibolla, B.

• Shoreline extraction and coastal change detection from satellite SAR using thresholding-based methods, pages 871–878

Singh, A.

• Spatiotemporal analysis and forecasting of ground deformation in Kolkata using PS-InSAR, pages 943–949

Singh, D.

• Integrating Multi-Source Remote Sensing and Soil Attributes through Ensemble Learning for Large-Scale Soil Organic Carbon Estimation, pages 765–772

Soergel, U.

• Attention-driven Cross-modal Self-supervised Learning for Label-efficient Hyperspectral-LiDAR DSM Classification, pages 91–99

Sonobe, R.

• Evaluating GAN-Based RGB Image Translation Using ALOS-2 Polarimetric SAR Data for Agricultural Monitoring, pages 797–803
• Crop Classification Using Time-Series Landsat Data: A Comparison of Attention-Based LSTM, GRU, and TCN Models, pages 821–828

Spreitzer, S.

• Evaluating the Potential of annual Sentinel-1 Composites for Bark Beetle Infestation Detection, pages 805–812

Srinivasan, V.

• Biomass Distribution Mapping of Boreal Forests using GEDI, Sentinel-2, and SRTM Data, pages 829–834

Srivally M.V.

• A Novel Approach for Data Fusion of SAR (EOS-4) and Optical Multispectral (Sentinel-2) Data, pages 393–402

State, R.

• Temporal-Spatial Tubelet Embedding for Cloud-Robust MSI Reconstruction using MSI-SAR Fusion: A Multi-Head Self-Attention Video Vision Transformer Approach, pages 315–323

Stocker, B. D.

• Country-wide, high-resolution monitoring of forest browning with Sentinel-2, pages 713–721

Storch, T.

• A spatial and spectral Analysis of the Sentinel-2 nighttime Image, pages 359–366

Stoter, J.

• RefineNet: a Confidence-aware Deep Online Learning Framework to Refine Real-world Point Cloud Semantic Segmentation, pages 179–185

Sun, K.

• A Multi Scale Strip-wise ConvNet for Infrared Image Stripe Removal, pages 383–392

Sun, W.

• BC Wildfire Risk Prediciton Time-Series Dataset: 2002–2023, pages 951–957

Svoboda, F.

• deSEO: Physics-Aware Dataset Creation for High-Resolution Satellite Image Shadow Removal, pages 11–18

da Silva, E. A.

• Monitoring Landscape Dynamics via Multitemporal Classification at Comandante Ferraz Station neighborhood, Keller Peninsula, Antarctica, pages 565–571

da Silva, F. V.

• Multiscale Multispectral–Hyperspectral Data for Estimating Coffee Yield Using Machine Learning Algorithms, pages 757–764

dos Santos Moura, D.

• Evaluating Mask R-CNN for instance segmentation of ceramic roofs in a Brazilian urban area using UAV imagery, pages 69–74

dos Santos, R. C.

• Monitoring Landscape Dynamics via Multitemporal Classification at Comandante Ferraz Station neighborhood, Keller Peninsula, Antarctica, pages 565–571

T

Tagesson, T.

• Forest Canopy Height Mapping in Tanzanian Tropical Rainforests Using Multimodal Remote Sensing Data and Machine Learning, pages 835–842

Takanuki, J.

• Effectiveness of Airborne LiDAR Intensity for Identifying Surface Fire Burned Areas in Wildfires, pages 887–894

Talreja, J.

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• Retrieval of aerosol optical/microphysical parameters of FY-4A geostationary satellite based on Transformer, pages 649–654

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• A Deep Learning Framework for Rapid Building Damage Detection through Multimodal Data Fusion: Application to the 2025 Myanmar Earthquake, pages 927–934

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• Spatial Aerodynamic Roughness of Forested Landscapes from Airborne LiDAR, pages 695–704

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• Synthetic Forest: A UAV Laser Scanning Benchmark Dataset for Individual Tree Segmentation, Classification, and Wood Volume Estimation, pages 245–251

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• Impact of Geometric Priors: Advanced Fine-grained Airplane Detection with Geometric Details in High-resolution Satellite Images, pages 289–296

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• Evaluation of Machine Learning Methods for Estimation of Leaf Chlorophyll Content (LCC) Across 15 Soybean Cultivars During Early Reproductive Stage, pages 731–739
• Development of a transferrable hybrid retrieval model for mapping sweet potato chlorophyll at matured growth stage using ultra high-resolution UAV data, pages 813–819

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• Development of a transferrable hybrid retrieval model for mapping sweet potato chlorophyll at matured growth stage using ultra high-resolution UAV data, pages 813–819

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• Towards Country-Wide LoD1 City Model Reconstruction of from TanDEM-X Intensity Images, pages 469–475

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Vijaywargiya, J.

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• Evaluating the Potential of annual Sentinel-1 Composites for Bark Beetle Infestation Detection, pages 805–812

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• Fine-Grained Remote Sensing Imagery Generation Driven by Expert Knowledge and Hierarchical Captions, pages 253–260

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• Deformation Monitoring and Analysis of Railway Bridges Integrating Time-Series InSAR and Finite-Element Modeling, pages 455–459

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• BC Wildfire Risk Prediciton Time-Series Dataset: 2002–2023, pages 951–957

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• A Multi Scale Strip-wise ConvNet for Infrared Image Stripe Removal, pages 383–392

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• Biomass Distribution Mapping of Boreal Forests using GEDI, Sentinel-2, and SRTM Data, pages 829–834

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• Flood Depth Mapping from SAR Imagery Using CS-Mamba with DEM Sensitivity Analysis, pages 493–500

Yao, W.

• Building Deformation Monitoring and Safety Risk Assessment Based on PSI Technology, pages 843–848

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• Multi-modal semantic segmentation for open vocabulary interactions with remote sensing images, pages 51–60

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• Graph-Attention Network for Spatially-Aware Post-Hurricane Building Damage Assessment from UAV Imagery, pages 101–108

Yifei, C.

• Discussion on the ‘Integration of Four Databases’ for Natural Resources Survey and Monitoring in Beijing Based on the ‘Jiaxing Experience’, pages 549–554

Yin, S.

• Fine-Grained Remote Sensing Imagery Generation Driven by Expert Knowledge and Hierarchical Captions, pages 253–260

Yingchun, H.

• Discussion on the ‘Integration of Four Databases’ for Natural Resources Survey and Monitoring in Beijing Based on the ‘Jiaxing Experience’, pages 549–554

Yoon, Y.

• Hie-DinoMamba: Hierarchical DINOv3 and Mamba Architecture for Multi-Class Building Change Detection, pages 601–608

You, W.

• A Multi Scale Strip-wise ConvNet for Infrared Image Stripe Removal, pages 383–392

Yuan, Q.

• LAD-Enhancer: A Lightweight All in One Aerial Detection Enhancer Under Adverse Weather, pages 307–313
• Temporal Variation-Guided Self-Supervised PolSAR Despeckling Network, pages 477–483

Yuan, W.

• Flood Depth Mapping from SAR Imagery Using CS-Mamba with DEM Sensitivity Analysis, pages 493–500

Yuan, Y.

• Self-Modulation Aggregation within Dense Skip Connections for Mapping of Retrogressive Thaw Slumps, pages 687–693

Yue, M.

• Temporal-Spatial Tubelet Embedding for Cloud-Robust MSI Reconstruction using MSI-SAR Fusion: A Multi-Head Self-Attention Video Vision Transformer Approach, pages 315–323

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Zaghian, S.

• Forest Canopy Height Mapping in Tanzanian Tropical Rainforests Using Multimodal Remote Sensing Data and Machine Learning, pages 835–842

Zangari, G.

• Combining specialized Sentinel-2 time series features with AlphaEarth Foundations for forest type mapping, pages 117–124

Zerbe, S.

• Combining specialized Sentinel-2 time series features with AlphaEarth Foundations for forest type mapping, pages 117–124

Zhang, F.

• Fine-Grained Remote Sensing Imagery Generation Driven by Expert Knowledge and Hierarchical Captions, pages 253–260

Zhang, H.

• Edge Knowledge Distillation Guided Lightweight Change Detection Network, pages 133–141
• Infrared-Visible Image Fusion Method Based on Differential Feature Enhancement and Cross-Modal Attention, pages 341–350
• Seasonal-Aware Scale-Semantic Consistency Alignment Change Detection Network, pages 593–600
• Retrieval of aerosol optical/microphysical parameters of FY-4A geostationary satellite based on Transformer, pages 649–654

Zhang, J.

• Fine-Grained Remote Sensing Imagery Generation Driven by Expert Knowledge and Hierarchical Captions, pages 253–260
• Land Cover Classification of Optical–SAR Imagery via Cross-Modal Interaction and Feature Alignment, pages 609–615

Zhang, K.

• A Collaborative Detection Method of Small Unmanned Aerial Vehicle Target via Multi-modal Feature Fusion in Complex Background, pages 143–149

Zhang, R.

• Edge Knowledge Distillation Guided Lightweight Change Detection Network, pages 133–141
• Seasonal-Aware Scale-Semantic Consistency Alignment Change Detection Network, pages 593–600

Zhang, S.

• Knowledge Graph Enhanced for Zero-Shot Semantic Segmentation in Remote Sensing Imagery, pages 125–132

Zhang, Y.

• Biomass Distribution Mapping of Boreal Forests using GEDI, Sentinel-2, and SRTM Data, pages 829–834

Zhang, Z.

• LAD-Enhancer: A Lightweight All in One Aerial Detection Enhancer Under Adverse Weather, pages 307–313
• Validation of global land-ocean aerosol products retrieved from the DPC-2/GF-5(02) on-orbit measurements, pages 989–994

Zhao, F.

• Building Deformation Monitoring and Safety Risk Assessment Based on PSI Technology, pages 843–848

Zhao, J.

• Land Cover Classification of Optical–SAR Imagery via Cross-Modal Interaction and Feature Alignment, pages 609–615

Zhao, S.

• Fine-Grained Remote Sensing Imagery Generation Driven by Expert Knowledge and Hierarchical Captions, pages 253–260

Zheng, L.

• Research on Identification Methods of Industrial Heat Source Integrating Thermal Anomaly Features, pages 377–382

Zheng, Z.

• Self-Modulation Aggregation within Dense Skip Connections for Mapping of Retrogressive Thaw Slumps, pages 687–693

Zhou, G.

• Self-Modulation Aggregation within Dense Skip Connections for Mapping of Retrogressive Thaw Slumps, pages 687–693

Zhou, Q.

• Infrared-Visible Image Fusion Method Based on Differential Feature Enhancement and Cross-Modal Attention, pages 341–350

Zhou, T.

• Infrared-Visible Image Fusion Method Based on Differential Feature Enhancement and Cross-Modal Attention, pages 341–350
• A High-Precision Land-Sea Segmentation Model Based on the Deep Otsu Method, pages 531–537

Zhou, X.

• A Multi Scale Strip-wise ConvNet for Infrared Image Stripe Removal, pages 383–392

Zhu, Q.

• Land Cover Classification of Optical–SAR Imagery via Cross-Modal Interaction and Feature Alignment, pages 609–615

Zhu, Y.

• BC Wildfire Risk Prediciton Time-Series Dataset: 2002–2023, pages 951–957

Zou, Y.

• Seasonal-Aware Scale-Semantic Consistency Alignment Change Detection Network, pages 593–600

Ś

Ślesiński, J.

• Application of machine learning methods and Sentinel-2 data for multitemporal land-cover classification in conflict-affected areas, pages 555–563