A

Abdelrahman, S.

• Advancing Canadian wildfire technology through onboard processing and on the ground collaboration, pages 1387–1393

Abdikan, S.

• Leveraging PolSAR Features and Machine Learning for Improved Land Cover Discrimination with ALOS-2 PALSAR-2: A Comprehensive Evaluation over the Istanbul Metropolitan Region, pages 475–480
• Evaluating Metro Construction Impacts on Urban Ground Stability Using Multi-Temporal Sentinel-1 InSAR, pages 481–486
• A Novel Label-Free Approach for Post-Fire Environmental Assessment Based on Zero-Shot Segment Anything Model (SAM), pages 551–556
• Assessing the Temporal Transferability of Random Forest Models for Land Use and Land Cover Change Detection, pages 689–694
• Sensitivity of Spaceborne LiDAR, Optical, and SAR Features for Forest Biomass Modelling: A GEDI–Sentinel-2–SAOCOM Analysis, pages 1023–1028

Achanccaray Diaz, P.

• Assessment of Different Architectures based on 2D-UNet, 3D-UNet and UNet-ConvLSTM for Land Use Land Cover Classification Using Multi-modal and Multi-temporal Satellite Images, pages 651–659

Aghababaei, H.

• Global Coverage of Sentinel-1 and Spaceborne LiDAR: A Data-Driven Foundation for Forest Height Estimation, pages 467–473

Ahmed, W.

• An Automated Approach based on Machine Learning for Tracking Urban Expansion: Case of Study in Gharbia Governorate, Egypt, pages 545–550

Ait Abdelali, H.

• Integrating Hyperspectral and Phenological Features for Cereals Mapping in a Mediterranean Region, Morocco, pages 915–921

Ajmar, A.

• Performance evaluation and limitations assessment of GeoAI democratization for natural hazard induced disasters, pages 1263–1270

Akhie, A. A.

• Multi-temporal Green Roof Vegetation Assessment Using Sentinel-2: A Pilot Study, pages 865–870

Akopian, A.

• Spectral Unmixing and Design Requirements for a low-cost Crop Residue Cover Mapping Nanosatellite, pages 889–896
• Approaches to Atmospheric Modelling and Multi-source Data Collection and Processing for the FINCH CubeSat, pages 1103–1111

Al-Sameai, L.

• Large-scale individual crown tree segmentation across entire white spruce forests using UAV hyperspectral imagery and deep learning, pages 931–938

Alam, M. S.

• Monitoring and Mapping of fast and slow subsidence in hard rock metal mining using SAR Interferometry Techniques on high resolution TSX/TDX Satellite Data, pages 529–536

Alcântara, E.

• Spatiotemporal Trends of Extreme Precipitation in Caraguatatuba (SE Brazil) from CHIRPS Data (1981–2024) Using GEE and Climate Indices, pages 1271–1276

Aldrighettoni, J.

• Mapping urban green spaces using an analysis of vegetation indices, pages 871–879

Altay, M.

• Leveraging PolSAR Features and Machine Learning for Improved Land Cover Discrimination with ALOS-2 PALSAR-2: A Comprehensive Evaluation over the Istanbul Metropolitan Region, pages 475–480
• A Novel Label-Free Approach for Post-Fire Environmental Assessment Based on Zero-Shot Segment Anything Model (SAM), pages 551–556
• Assessing the Temporal Transferability of Random Forest Models for Land Use and Land Cover Change Detection, pages 689–694

Alves de Oliveira, R.

• Evaluating the Transferability of Machine-Learning Models for Pre-Emergence Bark Beetle Detection Using Multispectral and Hyperspectral UAV Data, pages 1163–1170

Angás, J.

• Should UAV-lidar be collected at night? Impacts of Solar Illumination on Intensity, Penetration, and Ground Surface Detection Over Dense and Wet Vegetation, pages 973–978

Ansari, M.

• Estimating inland water quality parameters using Wyvern Dragonette-001 hyperspectral imagery, a case study from the St. Lawrence River, Canada, pages 349–354

Aparicio, J.

• The Arctic Observing Mission (AOM): A high priority candidate mission for the Government of Canada, pages 1465–1470

Argyriou, N.

• Integrated Geoinformatics for Reconstructing the Cultural Dynamics in Coastal and Shallow Submerged Sites, pages 219–224

Arkett, M.

• The Arctic Observing Mission (AOM): A high priority candidate mission for the Government of Canada, pages 1465–1470

Arockiasamy, M.

• Integrating Multi-Source Agricultural Data with Machine Learning to Improve Crop Mapping Accuracy: A Case Study of the Navajo Nation, pages 1131–1137

Artan, E.

• Synthesizing hyperspectral Data using generative Models to train spectral Unmixing Methods for low-cost Crop Residue Cover Mapping, pages 881–888
• Spectral Unmixing and Design Requirements for a low-cost Crop Residue Cover Mapping Nanosatellite, pages 889–896

Aslan, G.

• From InSAR Norway to a Global Ground Motion Service: Operational Monitoring for Disaster Risk Reduction, pages 1457–1464

Asmat, A.

• Windstorm Hazard Index Development for Malaysia, pages 1339–1348

Atef, I.

• An Automated Approach based on Machine Learning for Tracking Urban Expansion: Case of Study in Gharbia Governorate, Egypt, pages 545–550

Augspach, Z.

• Spectral Unmixing and Design Requirements for a low-cost Crop Residue Cover Mapping Nanosatellite, pages 889–896
• Approaches to Atmospheric Modelling and Multi-source Data Collection and Processing for the FINCH CubeSat, pages 1103–1111

Awange, J.

• Long-term Analysis of Rainfall Variability and Gridded Precipitation Product Performance in Coastal Southeast China, pages 295–300

Azabdaftari, A.

• Urban Expansion, Entropy Dynamics, and Ecological Quality: A District-Based Assessment, pages 557–563

B

Bagheri, M.

• Assessing Real-Time PPP Performance for PWV Estimation Using Low-Cost GNSS Stations and Multi-Source Correction Products, pages 745–752

Bai, S.

• Research on Inversion Technology of Empirical Models for Water Chlorophyll Concentration Based on Sentinel-2 Images, pages 1113–1121

Bailly, J.-S.

• Automated 3D extraction of hydromorphological metrics from LiDAR data, pages 831–837

Baiocchi, V.

• Land cover mapping from orthorectified Neo-Pleiades imagery via Object-Based methods, pages 701–709

Baldin, C. M.

• Spatiotemporal Modelling of Ground-Level Air Temperature in an agricultural context: Rigorous Evaluation of LST Modis and Landsat-8 Imagery Data, pages 1051–1057

Balik Sanli, F.

• Evaluating Metro Construction Impacts on Urban Ground Stability Using Multi-Temporal Sentinel-1 InSAR, pages 481–486

Ballère, M.

• Assessment of automatic hedgerow detection using Pleiades Neo 30cm spatial resolution images and Foundation model, pages 633–641

Baltzi, E.

• Meta-Prompting with Open-Source Language Models for Zero-Shot Scene Classification in Remote Sensing, pages 233–239

Baraka, M.

• An Automated Approach based on Machine Learning for Tracking Urban Expansion: Case of Study in Gharbia Governorate, Egypt, pages 545–550

Barekati, H.

• A Multilingual LLM-Based GeoAI Framework for Natural-Language-Driven Remote Sensing Analysis, pages 1427–1434

Bareth, G.

• Evaluating a modified StarDist Implementation for Individual Tree Detection and Crown Delineation in heterogeneous Landscapes, pages 1139–1146

Barra, A.

• Advanced Persistent Scatterer Interferometry products, pages 487–492

Bayik, C.

• Evaluating Metro Construction Impacts on Urban Ground Stability Using Multi-Temporal Sentinel-1 InSAR, pages 481–486

Belcore, E.

• Upscaling vegetation cover from UAV to satellite imagery, pages 897–905

Bell, F. W.

• Assessing Applications of Self-Supervised Learning for Tree Species Classification from LiDAR Point Clouds, pages 225–231

Bello, R. L.

• Optimization of the National Biomass Allometric Equation Using Remote Sensing Data, pages 1037–1042

Bendini, H. D. N.

• Applying a U-Net Convolutional Neural Network for Mapping Banana Crops in the Atlantic Forest Region of Brazil Using CBERS-4A High Spatial Resolution Imagery, pages 907–914

Bergamaschi, A.

• Spatiotemporal Modelling of Ground-Level Air Temperature in an agricultural context: Rigorous Evaluation of LST Modis and Landsat-8 Imagery Data, pages 1051–1057

Bergamasco, L.

• A Multimodal and Multitemporal Deep Learning Semantic Segmentation Method based on Variational Autoencoder for Multimodal Remote Sensing Image Time Series, pages 3–11

Bijou, S.

• Evaluating the Transferability of Machine-Learning Models for Pre-Emergence Bark Beetle Detection Using Multispectral and Hyperspectral UAV Data, pages 1163–1170

Biswas, P. K.

• Integrating Multi-Source Agricultural Data with Machine Learning to Improve Crop Mapping Accuracy: A Case Study of the Navajo Nation, pages 1131–1137

Bolfe, É. L.

• Mapping Perennial Crops in Complex Tropical Landscapes with Harmonized Landsat Sentinel Time Series, pages 1079–1087

Bonham-Carter, B.

• Advancing Canadian wildfire technology through onboard processing and on the ground collaboration, pages 1387–1393

Bourriz, M.

• Integrating Hyperspectral and Phenological Features for Cereals Mapping in a Mediterranean Region, Morocco, pages 915–921

Bourzeix, F.

• Integrating Hyperspectral and Phenological Features for Cereals Mapping in a Mediterranean Region, Morocco, pages 915–921

Bovolo, F.

• A Multimodal and Multitemporal Deep Learning Semantic Segmentation Method based on Variational Autoencoder for Multimodal Remote Sensing Image Time Series, pages 3–11

Bozzini, A.

• Evaluating the Transferability of Machine-Learning Models for Pre-Emergence Bark Beetle Detection Using Multispectral and Hyperspectral UAV Data, pages 1163–1170

Brass, S.

• Advancing Canadian wildfire technology through onboard processing and on the ground collaboration, pages 1387–1393

Bredal, M.

• From InSAR Norway to a Global Ground Motion Service: Operational Monitoring for Disaster Risk Reduction, pages 1457–1464

Brook, A.

• Post-Fire Urban Runoff Assessment in a Mediterranean Basin Using Integrated UAV–SWMM–HEC-RAS Modelling, pages 1283–1289

Brown, Y.

• Advancing Canadian wildfire technology through onboard processing and on the ground collaboration, pages 1387–1393

Bréda, N.

• Estimating the leaf area index of urban trees using terrestrial LiDAR and the PATH method: sensitivity analysis and comparison with optical and direct methods, pages 1123–1129

Bulatov, D.

• Land Cover Classification of Multi-Source Airborne Data using Conventional and Deep-Learning-Based Unsupervised Domain Adaptation, pages 57–64
• Comparison of Machine Learning and Physics-Based Approaches for Thermal Infrared Simulation for Urban Digital Twins, pages 395–403
• Multispectral Anomaly Detection: Comparison of sensor bands in conventional and machine learning approaches, pages 431–438
• Comparison of Supervised Classification Algorithms for Land Use Land Cover in Guayaquil: An Assessment with Landsat and MapBiomas, pages 565–572

Burton, P.

• Investigating the relationship between the Urban Heat Island Effect and its influencing factors: A case study of Perth, pages 65–72

Böge, M.

• Land Cover Classification of Multi-Source Airborne Data using Conventional and Deep-Learning-Based Unsupervised Domain Adaptation, pages 57–64

El Battay, A.

• A single Hyperspectral image for predicting Soil Organic Matter in saline semi-arid lands: insights from Random Forests and optimal band selection models, pages 947–952

El Bouanani, N.

• Integrating Hyperspectral and Phenological Features for Cereals Mapping in a Mediterranean Region, Morocco, pages 915–921
• A single Hyperspectral image for predicting Soil Organic Matter in saline semi-arid lands: insights from Random Forests and optimal band selection models, pages 947–952

C

Cao, P.

• Characterizing Wildland-Urban Interface Fire Typology and Climate Associations Across California, USA, pages 1411–1417

Carreiro, G. A.

• Spatiotemporal Trends of Extreme Precipitation in Caraguatatuba (SE Brazil) from CHIRPS Data (1981–2024) Using GEE and Climate Indices, pages 1271–1276

Casella, V. M.

• Spatiotemporal Modelling of Ground-Level Air Temperature in an agricultural context: Rigorous Evaluation of LST Modis and Landsat-8 Imagery Data, pages 1051–1057

Casey, A.

• The Arctic Observing Mission (AOM): A high priority candidate mission for the Government of Canada, pages 1465–1470

Castilla, N.

• Multi-Temporal, Multi-Modal UAV and Machine Learning Framework for Early Detection and Mapping of Bacterial Leaf Blight in Rice, pages 1451–1456

Castro, R. M.

• Machine Learning for Recognition and Mapping of Rare Earths in Brazil using Reflectance Spectroscopy and Hyperspectral Imagery, pages 371–378

Castro-Rodas, D.

• Comparison of Supervised Classification Algorithms for Land Use Land Cover in Guayaquil: An Assessment with Landsat and MapBiomas, pages 565–572

Cevallos-Misco, S.

• Lights that Extinguish Nature in Protected Forests: A Look at the Impact of Light Pollution, pages 1197–1204

Chaabane, F.

• Super-Resolution of Sentinel-2 Imagery Using Latent Diffusion Models for Photovoltaic Site Assessment, pages 13–17

Champion, N.

• GEMAUT (2006–2026): A Brief History of a Robust and Open-Source Tool for the Automatic Generation of High-Resolution Digital Terrain Models from Satellite-Based Surface Models, pages 19–24

Chamtouri, M. A.

• Super-Resolution of Sentinel-2 Imagery Using Latent Diffusion Models for Photovoltaic Site Assessment, pages 13–17

Chan, A.

• Windstorm Hazard Index Development for Malaysia, pages 1339–1348

Chan, S. Y.

• An Online Semantically Rich 3D Information System for Collaborative Exploration of Planetary Surfaces, pages 1215–1222

Chan, T. O.

• A Dual-Task Optimization Approach for Digital Elevation Model Correction with Spaceborne LiDAR Data, pages 177–182
• Long-term Analysis of Rainfall Variability and Gridded Precipitation Product Performance in Coastal Southeast China, pages 295–300
• Fusing Satellite Remote Sensing and ARGO Float Data for Enhanced Monitoring of Microplastic Concentrations in the West Pacific (2018–2020), pages 1185–1190

Chander, S.

• GRACE and GRACE Follow On: On Accurate estimation of Groundwater Storage Change from Satellite Gravimetry and Beyond, pages 783–788

Chang, G.

• Quality Control For Large-Scale Bundle Adjustment Of Planetary Remote Sensing Images, pages 1223–1230

Chang, Z.

• Fusing Satellite Remote Sensing and ARGO Float Data for Enhanced Monitoring of Microplastic Concentrations in the West Pacific (2018–2020), pages 1185–1190

Chaube, N. R.

• Delineation of Mangroves in Lothian, Sundarbans using multi-frequency SAR and Optical Remote Sensing, pages 923–929

Chavier, L.

• Advancing Canadian wildfire technology through onboard processing and on the ground collaboration, pages 1387–1393

Che Omar, M. B. H.

• Windstorm Hazard Index Development for Malaysia, pages 1339–1348

Chebab, Y.

• Comparative Evaluation of Machine Learning Models for Gold Prospectivity Mapping: A Case Study from Labrador, Canada, pages 25–31

Chehbouni, A.

• Integrating Hyperspectral and Phenological Features for Cereals Mapping in a Mediterranean Region, Morocco, pages 915–921
• A single Hyperspectral image for predicting Soil Organic Matter in saline semi-arid lands: insights from Random Forests and optimal band selection models, pages 947–952

Chen, D.

• Spatiotemporal Vegetation Degradation Simulation and Inversion in Inner Mongolia Autonomous Region, pages 695–700
• DNN-Based Lichen Mapping Using AVIRIS-NG Hyperspectral Imagery and UAV Images in a Rocky Canadian Shield Landscape, pages 1231–1238

Chen, J.-C.

• Monitoring the Spatial Dynamics of Mikania micrantha During the Flowering Season Using Multi-epoch UAV Imagery: A Case Study North of Liyu Lake, Hualien, Taiwan, pages 121–128
• Using NGRDI index to assist in forest canopy gaps classification of UAV RGB imagery, pages 325–331

Chen, L.

• Water Quality Inversion and Spatiotemporal Analysis of Changshu City Based on Multi-source Remote Sensing Data, pages 979–985

Chen, P.

• RSCDG: Remote Sensing Change/Damage Image Generator Based on Prior Foundation Model and Multimodal Reference Information, pages 33–39

Chen, R.

• Remote Sensing Image Captioning via Dual-Stream Fusion and Spatial Relation-Aware Encoding, pages 41–47

Chen, S.

• Synthesizing hyperspectral Data using generative Models to train spectral Unmixing Methods for low-cost Crop Residue Cover Mapping, pages 881–888
• Approaches to Atmospheric Modelling and Multi-source Data Collection and Processing for the FINCH CubeSat, pages 1103–1111

Chen, W.

• DNN-Based Lichen Mapping Using AVIRIS-NG Hyperspectral Imagery and UAV Images in a Rocky Canadian Shield Landscape, pages 1231–1238

Chen, Y.

• Fast Cloud Property Retrieval from TROPOMI O₂-A Band Observations Using a DISAMAR-Based Neural Network Framework, pages 1487–1492

Chen, Z.

• Integrating green-shoulder indices from hyperspectral drone imagery and sap flow monitoring to assess water dynamics in healthy and bark beetle-infested trees, pages 939–946

Cheon, J.

• Rapid Georeferencing of Sensor-Limited Helicopter Imagery for Wildfire Response, pages 1395–1402

Chi, J.

• Stepwise Optimization and Ensemble Pipeline for Building Change Detection in High Resolution Satellite Imagery Using Mamba-Based Model, pages 601–608
• Deep Learning Benchmarks for short-term Arctic Sea Ice Forecasting, pages 805–810
• Deep learning–based enhancement of feature tracking for sea ice drift estimation, pages 817–823
• A Dynamically Weighted Framework for Adaptive Reference-Based Super-Resolution, pages 1367–1372

Chiang, P.-H.

• Monitoring the Spatial Dynamics of Mikania micrantha During the Flowering Season Using Multi-epoch UAV Imagery: A Case Study North of Liyu Lake, Hualien, Taiwan, pages 121–128

Choi, E.

• Advancing Canadian wildfire technology through onboard processing and on the ground collaboration, pages 1387–1393

Choubey, S.

• GRACE and GRACE Follow On: On Accurate estimation of Groundwater Storage Change from Satellite Gravimetry and Beyond, pages 783–788

Chuizaca Espinoza, I. A.

• High-resolution LiDAR and thermal UAV data for 3D analysis of urban vegetation structure and its cooling effect in San Nicolás, Mexico, pages 421–429

Chuizaca-Espinoza, I. A.

• Fluvial Dynamics Changes Driven by Illegal Gold Mining: A Land Use/Land Cover Analysis in the Ecuadorian Amazon, pages 573–580
• Spatial Analysis of Mining Intensity in Buffer Zones of Protected Areas of the Ecuadorian Amazon, pages 995–1002

Chung, M.

• Comparative Study of Edge Losses for Remote Sensing Image Super-Resolution, pages 49–55
• Geometry-Conditioned Pix2Pix: Leveraging Explicit Conditioning on SAR Projected Local Incidence Angle for SAR-to-EO Translation Quality Improvement, pages 163–168

Clausi, D.

• Risk-Aware LLM Agents for Geospatial Data Retrieval: Design and Preliminary Adversarial Evaluation, pages 1419–1426

Clausi, D. A.

• DINOKey: Transformer-Based Keypoint Detection for Wildlife Monitoring in Aerial Imagery, pages 961–966

Colaninno, N.

• Multi-Sensor Random Forest Downscaling for 10 m LST Mapping and Urban Heat Island Monitoring in a Small-Sized City, pages 355–362

Colomer, S.

• Large-scale individual crown tree segmentation across entire white spruce forests using UAV hyperspectral imagery and deep learning, pages 931–938

Cosimo, L. H. E.

• Integrating green-shoulder indices from hyperspectral drone imagery and sap flow monitoring to assess water dynamics in healthy and bark beetle-infested trees, pages 939–946
• Evaluating the Transferability of Machine-Learning Models for Pre-Emergence Bark Beetle Detection Using Multispectral and Hyperspectral UAV Data, pages 1163–1170
• Estimation of diurnal hydraulic status of spruce trees using drone-based hyperspectral images and green shoulder indices, pages 1171–1178

Coskun, S.

• Evaluating Metro Construction Impacts on Urban Ground Stability Using Multi-Temporal Sentinel-1 InSAR, pages 481–486

Costa, M.

• Casting a Neural Net: Satellite-based Coastline Extraction with Neural Networks across Diverse Coastal Environments in British Columbia, Canada, pages 1089–1095

Costa, S. S.

• Analysis of Sentinel-2A orbital imagery for the detection of deforested areas caused by artisanal mining activities in the Tapajós Environmental Protection Area, northern Jacareacanga municipality, Pará State, Brazil, pages 609–615

Cremonese, G.

• YOLOLens2.0: A Unified Super-Resolution and Detection Framework for High-Fidelity Crater Mapping in Lunar Permanently Shadowed Regions, pages 1239–1248

Crosetto, M.

• Advanced Persistent Scatterer Interferometry products, pages 487–492
• Back-to-back approach to SAR interferometry, pages 509–514

Cruz, M. A.

• Assessing the Impact of Sun Glint on Seagrass and Benthic Habitat Classification Accuracy across various Algorithms using PlanetScope Imagery, pages 1349–1357

Cuevas-González, M.

• Advanced Persistent Scatterer Interferometry products, pages 487–492

Cumming, J.

• Risk-Aware LLM Agents for Geospatial Data Retrieval: Design and Preliminary Adversarial Evaluation, pages 1419–1426

D

Al Daker, H.

• Snow Water Equivalent trends in North America through the lens of passive microwave remote sensing and deep learning models, pages 811–816

D'Urso, M. G.

• Mapping urban green spaces using an analysis of vegetation indices, pages 871–879

Dabove, P.

• Assessing Real-Time PPP Performance for PWV Estimation Using Low-Cost GNSS Stations and Multi-Source Correction Products, pages 745–752

Dabral, R.

• From Pixels to Policy: Using Geospatial Technologies to Assess Sand Mining Regulations, pages 1059–1065

Dai, H.

• Analysis of Spatiotemporal Changes in Land Cover of Wind Farms within County Areas, pages 625–631
• Urban Livability Analysis Based on Multi-Source Remote Sensing Data, pages 1191–1196

Dalla Mura, M.

• A Multimodal and Multitemporal Deep Learning Semantic Segmentation Method based on Variational Autoencoder for Multimodal Remote Sensing Image Time Series, pages 3–11

Danish, H. M.

• A Comprehensive Framework for Remote Sensing and AI-Driven Real-Time Cotton Health Monitoring and Disease Detection, pages 967–972

Darvishzadeh, R.

• Multi-Temporal, Multi-Modal UAV and Machine Learning Framework for Early Detection and Mapping of Bacterial Leaf Blight in Rice, pages 1451–1456

Darwish, W.

• An Automated Approach based on Machine Learning for Tracking Urban Expansion: Case of Study in Gharbia Governorate, Egypt, pages 545–550

Dehls, J.

• From InSAR Norway to a Global Ground Motion Service: Operational Monitoring for Disaster Risk Reduction, pages 1457–1464

Deisling, E.

• Land Cover Classification of Multi-Source Airborne Data using Conventional and Deep-Learning-Based Unsupervised Domain Adaptation, pages 57–64
• Multispectral Anomaly Detection: Comparison of sensor bands in conventional and machine learning approaches, pages 431–438

Dell'Acqua, F.

• Spatiotemporal Modelling of Ground-Level Air Temperature in an agricultural context: Rigorous Evaluation of LST Modis and Landsat-8 Imagery Data, pages 1051–1057

Dema, K.

• Investigating the relationship between the Urban Heat Island Effect and its influencing factors: A case study of Perth, pages 65–72

Demartis, A.

• Performance evaluation and limitations assessment of GeoAI democratization for natural hazard induced disasters, pages 1263–1270

Deng, J.

• Vertical Characterization and Transport Dynamics of UTLS Aerosols over Hubei: A Multiyear Integrated Analysis using CALIOP and MERRA-2, pages 767–772

Depret, T.

• Automated 3D extraction of hydromorphological metrics from LiDAR data, pages 831–837

Diao, J.

• Characterizing Wildland-Urban Interface Fire Typology and Climate Associations Across California, USA, pages 1411–1417

Ding, L.

• Quality Inspection and Intelligent Fusion Method for Automated Production of Large-Scale Remote Sensing Image Tiles, pages 301–308

Doddamani, M.

• Multi-Temporal, Multi-Modal UAV and Machine Learning Framework for Early Detection and Mapping of Bacterial Leaf Blight in Rice, pages 1451–1456

Dong, Y.

• MCAM: A Multi-scale Cyclic Adaptive Mamba Network for Hyperspectral Image Classification, pages 341–348

Du, Y.

• Research and Implementation of Key Technologies for High Resolution Satellite Image Instant Service System, pages 183–188

Duan, R.

• An Online Semantically Rich 3D Information System for Collaborative Exploration of Planetary Surfaces, pages 1215–1222

Duarte da Silva, M. F.

• Trend Analysis and Temperature Prediction Using MODIS Time Series Images in the Metropolitan Regions of Campinas and Piracicaba - Brazil, pages 363–369

Duran Vergara, L. C.

• Evaluating the Adaptation Potential of SAM2 for Glacier Segmentation in severe Weather, pages 205–212

Dörr, N.

• Identification and Analysis of Recurringly Occluded Persistent Scatterers, with Application to Displacement Monitoring in the Oetztal Alps, pages 493–500

E

ElShazly, A.

• An Automated Approach based on Machine Learning for Tracking Urban Expansion: Case of Study in Gharbia Governorate, Egypt, pages 545–550

Elbarz, W.

• Integrating Hyperspectral and Phenological Features for Cereals Mapping in a Mediterranean Region, Morocco, pages 915–921

Ellsäßer, F. J.

• Multi-Temporal, Multi-Modal UAV and Machine Learning Framework for Early Detection and Mapping of Bacterial Leaf Blight in Rice, pages 1451–1456

Eltner, A.

• Evaluating the Adaptation Potential of SAM2 for Glacier Segmentation in severe Weather, pages 205–212

Ensminger, I.

• Large-scale individual crown tree segmentation across entire white spruce forests using UAV hyperspectral imagery and deep learning, pages 931–938

Escandón-Panchana, P.

• Spatial Analysis of Mining Intensity in Buffer Zones of Protected Areas of the Ecuadorian Amazon, pages 995–1002

Escobedo-Tamez, A. N.

• Interpolation methodologies comparison for Heat Index Assessment, pages 457–465

Eskandari, R.

• Deformation Pattern Modifications Induced by 2021 Brentonico Earthquake: Insights from EGMS Ortho Products, pages 501–507

Ethier, L.

• Machine Learning for Marine Dock Detection Using LiDAR Intensity and Detectron2, pages 273–280

F

Faccoli, M.

• Evaluating the Transferability of Machine-Learning Models for Pre-Emergence Bark Beetle Detection Using Multispectral and Hyperspectral UAV Data, pages 1163–1170

Fan, L.

• RSCDG: Remote Sensing Change/Damage Image Generator Based on Prior Foundation Model and Multimodal Reference Information, pages 33–39
• Remote Sensing Image Captioning via Dual-Stream Fusion and Spatial Relation-Aware Encoding, pages 41–47
• Rapid Building Damage Detection from Remote Sensing Images: a Novel Lightweight Network with Contrastive Learning, pages 1301–1306

Fan, Q.

• An Online Semantically Rich 3D Information System for Collaborative Exploration of Planetary Surfaces, pages 1215–1222

Fascia, R.

• Spatio-temporal modeling of bridge deformations from Sentinel-1 SAR images validated with multiple in-situ surveys, pages 197–204

Fathololoumi, S.

• Seasonal Assessment of Land Use Impacts on Daytime and Nighttime Urban Heat Island Intensity Patterns in a Hot and Arid Region: A Case Study of Ahvaz, Iran, pages 387–393

Faure, J.-F.

• Preface: Technical Commission III (Remote Sensing), pages 1–1

Fayyaz, M.

• Remote Sensing and AI-Driven Sustainable Cotton Farming for a Resilient Future, pages 1097–1102

Feng, C.

• Quality Control For Large-Scale Bundle Adjustment Of Planetary Remote Sensing Images, pages 1223–1230

Ferraioli, G.

• Global Coverage of Sentinel-1 and Spaceborne LiDAR: A Data-Driven Foundation for Forest Height Estimation, pages 467–473

Fetai, B.

• Detection of Cropland Abandonment through Multi-Temporal Landsat Data and Spatially Independent Machine Learning Validation, pages 679–688

Fielke, J. M.

• Impact of Spectral Resolution on SIF Quantification for Explaining Almond Yield Variability, pages 1157–1162

Fobert, M.-A.

• The Arctic Observing Mission (AOM): A high priority candidate mission for the Government of Canada, pages 1465–1470

Fogle, S.

• Space–Time Analysis of Nighttime Light Intensity in Phoenix, Arizona (1992–2024), pages 73–80

Fraser, R. H.

• DNN-Based Lichen Mapping Using AVIRIS-NG Hyperspectral Imagery and UAV Images in a Rocky Canadian Shield Landscape, pages 1231–1238

Freire-Granda, D.

• High-resolution LiDAR and thermal UAV data for 3D analysis of urban vegetation structure and its cooling effect in San Nicolás, Mexico, pages 421–429
• From Natural Land to Built-Up Areas: Monitoring Residential Expansion Using Sentinel-2 and Support Vector Machine, pages 581–587
• Lights that Extinguish Nature in Protected Forests: A Look at the Impact of Light Pollution, pages 1197–1204

Freitas, E.

• Combining UAV SAR Tomography and Photogrammetry to study an Active Volcanic Vent in Iceland, pages 257–263

Furuya, D. E. G.

• Mapping Perennial Crops in Complex Tropical Landscapes with Harmonized Landsat Sentinel Time Series, pages 1079–1087

G

Gabet, L.

• Assessment of automatic hedgerow detection using Pleiades Neo 30cm spatial resolution images and Foundation model, pages 633–641

Gaibor-Yambay, K.

• From Natural Land to Built-Up Areas: Monitoring Residential Expansion Using Sentinel-2 and Support Vector Machine, pages 581–587

Galodha, A.

• Bioaerosol-driven heavy metal deposition and Biospheric response: A remote sensing-assisted Phytoremediation study in the Pin Valley National Park, North-Western Himalayas, pages 753–765

Gamba, P.

• AI-based multi-temporal analysis of urban dynamics using Sentinel-2 data. A case study over Osmaniye, Turkey, pages 1307–1314

Gao, C.

• Quality Inspection and Intelligent Fusion Method for Automated Production of Large-Scale Remote Sensing Image Tiles, pages 301–308

Gao, E.

• Shallow Water Bathymetry Retrieval in the Guangxi Beibu Gulf, China, Using Optical Remote Sensing and Electronic Nautical Charts, pages 789–795

Gao, K.

• Risk-Aware LLM Agents for Geospatial Data Retrieval: Design and Preliminary Adversarial Evaluation, pages 1419–1426

Gao, Q.

• Advanced Persistent Scatterer Interferometry products, pages 487–492
• Back-to-back approach to SAR interferometry, pages 509–514

Garg, V.

• Snow Persistence Dynamics in the Indian North Western Himalaya (2000– 2024): A MODIS-Based Trend Analysis, pages 853–858

Gaspar, D.

• Evaluating a Weighted Ensemble of Deep Learning Models for Individual Tree Crown Delineation from LiDAR Data, pages 81–87

Gaspari, F.

• Spatio-temporal modeling of bridge deformations from Sentinel-1 SAR images validated with multiple in-situ surveys, pages 197–204

Gatter, A.

• Multispectral Anomaly Detection: Comparison of sensor bands in conventional and machine learning approaches, pages 431–438

Gašparović, I.

• Automatic Estimation of Building Construction Year and Height from Earth Observation Data for Urban Risk Assessment, pages 589–594

Gašparović, M.

• Automatic Estimation of Building Construction Year and Height from Earth Observation Data for Urban Risk Assessment, pages 589–594

Geng, T.

• Impact of Shoreline Ecological Restoration on Suspended Sediment Concentration in Shanghai Coastal Waters, pages 711–717

Geng, X.

• Quality Control For Large-Scale Bundle Adjustment Of Planetary Remote Sensing Images, pages 1223–1230
• Refinement of Asteroid Rotation Parameters via Stereo Intersection Angle Optimization and Masked Feature Matching, pages 1249–1255

Genzano, N.

• Deformation Pattern Modifications Induced by 2021 Brentonico Earthquake: Insights from EGMS Ortho Products, pages 501–507

Gerke, M.

• Assessment of Different Architectures based on 2D-UNet, 3D-UNet and UNet-ConvLSTM for Land Use Land Cover Classification Using Multi-modal and Multi-temporal Satellite Images, pages 651–659

Gerčer, M.

• Near Real-Time Flood Mapping from Sentinel Data Using Machine Learning Techniques, pages 797–803

Ghanbari, M.

• Casting a Neural Net: Satellite-based Coastline Extraction with Neural Networks across Diverse Coastal Environments in British Columbia, Canada, pages 1089–1095

Ghorbanalivakili, M.

• Reasoning-guided Ego-path Segmentation for Autonomous Trains using Vision-language Models, pages 89–96

Giannone, F.

• Land cover mapping from orthorectified Neo-Pleiades imagery via Object-Based methods, pages 701–709

Giulio Tonolo, F.

• Performance evaluation and limitations assessment of GeoAI democratization for natural hazard induced disasters, pages 1263–1270

Gob, F.

• Automated 3D extraction of hydromorphological metrics from LiDAR data, pages 831–837

Goerke-Mallet, P.

• Integrating MTInSAR and Geoscientific Data for Subsurface Deformation Monitoring in the Epe Cavern Field, Germany, pages 537–543

Gomes, A.

• Preface: Technical Commission III (Remote Sensing), pages 1–1

Gomes, M. M.

• Machine Learning for Recognition and Mapping of Rare Earths in Brazil using Reflectance Spectroscopy and Hyperspectral Imagery, pages 371–378

Gong, Y.

• Exploring Land Use Mapping with Multimodal Data Fusion and Convolutional Neural Network, pages 595–600
• Research on Inversion Technology of Empirical Models for Water Chlorophyll Concentration Based on Sentinel-2 Images, pages 1113–1121

Gonzalez-Dugo, V.

• Impact of Spectral Resolution on SIF Quantification for Explaining Almond Yield Variability, pages 1157–1162

Gorum, T.

• Evaluating Metro Construction Impacts on Urban Ground Stability Using Multi-Temporal Sentinel-1 InSAR, pages 481–486

Goto, S.

• Assessment Model of the Soil Fertility Potential of Yatsuda Rice Fields Based on Humus Derived Nitrogen Balance Using UAV Hyperspectral Sensor, pages 1067–1072

Gourde, J.

• Modular Fusion for Individual Tree Crown Delineation from Airborne LiDAR Data, pages 97–104

Grabrijan, T.

• Near Real-Time Flood Mapping from Sentinel Data Using Machine Learning Techniques, pages 797–803

Graham, Z.

• Spectral Unmixing and Design Requirements for a low-cost Crop Residue Cover Mapping Nanosatellite, pages 889–896
• Approaches to Atmospheric Modelling and Multi-source Data Collection and Processing for the FINCH CubeSat, pages 1103–1111

Gu, J.

• Exploring Land Use Mapping with Multimodal Data Fusion and Convolutional Neural Network, pages 595–600

Gudmundsson, M. T.

• Combining UAV SAR Tomography and Photogrammetry to study an Active Volcanic Vent in Iceland, pages 257–263

Gudnason, E. Á.

• Combining UAV SAR Tomography and Photogrammetry to study an Active Volcanic Vent in Iceland, pages 257–263

Guichard, M.

• A Multimodal and Multitemporal Deep Learning Semantic Segmentation Method based on Variational Autoencoder for Multimodal Remote Sensing Image Time Series, pages 3–11

Guimarães, Y. C.

• Spatiotemporal Trends of Extreme Precipitation in Caraguatatuba (SE Brazil) from CHIRPS Data (1981–2024) Using GEE and Climate Indices, pages 1271–1276

Guo, Y.

• Impact of Shoreline Ecological Restoration on Suspended Sediment Concentration in Shanghai Coastal Waters, pages 711–717

Gupta, A.

• Approaches to Atmospheric Modelling and Multi-source Data Collection and Processing for the FINCH CubeSat, pages 1103–1111

Gutierrez Lopez, J.

• Integrating green-shoulder indices from hyperspectral drone imagery and sap flow monitoring to assess water dynamics in healthy and bark beetle-infested trees, pages 939–946
• Estimation of diurnal hydraulic status of spruce trees using drone-based hyperspectral images and green shoulder indices, pages 1171–1178

Günzel, C.

• Evaluating Deep Matching Models for SAR-Optical Image Pairs using the SpaceNet9 Dataset, pages 105–111

La Grassa, R.

• YOLOLens2.0: A Unified Super-Resolution and Detection Framework for High-Fidelity Crater Mapping in Lunar Permanently Shadowed Regions, pages 1239–1248

H

Hajaj, S.

• A single Hyperspectral image for predicting Soil Organic Matter in saline semi-arid lands: insights from Random Forests and optimal band selection models, pages 947–952

Ham, T.

• High-Resolution GPP Estimation from Sentinel-1 and Sentinel-2 Around AmeriFlux Towers: Evaluating Temporal and Geographic Generalisation, pages 953–959

Han, G.

• Global Point Source CO₂ Emissions Monitoring Based on Hyperspectral Remote Sensing Imagery, pages 1471–1476

Han, Y.

• Comparative Study of Edge Losses for Remote Sensing Image Super-Resolution, pages 49–55
• Geometry-Conditioned Pix2Pix: Leveraging Explicit Conditioning on SAR Projected Local Incidence Angle for SAR-to-EO Translation Quality Improvement, pages 163–168

Harikumar, A.

• Large-scale individual crown tree segmentation across entire white spruce forests using UAV hyperspectral imagery and deep learning, pages 931–938

Harrison, T.

• Advancing Canadian wildfire technology through onboard processing and on the ground collaboration, pages 1387–1393

Haruyama, J.

• YOLOLens2.0: A Unified Super-Resolution and Detection Framework for High-Fidelity Crater Mapping in Lunar Permanently Shadowed Regions, pages 1239–1248

Hazali, N. A.

• Windstorm Hazard Index Development for Malaysia, pages 1339–1348

He, H.

• Comparative Study of Stable Diffusion-Based Super-Resolution Methods for Remote Sensing Imagery, pages 1435–1442

He, Q.

• Reassessing the Reliability of WRF-CMAQ-Based PM_2.5 Prediction from a Generalization Perspective, pages 1477–1485

He, X.

• GAN-Based PAN-to-RGB Image Translation for Remote Sensing Data, pages 113–119

Helmholz, P.

• Investigating the relationship between the Urban Heat Island Effect and its influencing factors: A case study of Perth, pages 65–72

Hernandez-Figueroa, H. E.

• Combining UAV SAR Tomography and Photogrammetry to study an Active Volcanic Vent in Iceland, pages 257–263

Herold, M.

• Combining UAV SAR Tomography and Photogrammetry to study an Active Volcanic Vent in Iceland, pages 257–263

Heydrich, T.

• Advancing Canadian wildfire technology through onboard processing and on the ground collaboration, pages 1387–1393

Honkavaara, E.

• Evaluating the Transferability of Machine-Learning Models for Pre-Emergence Bark Beetle Detection Using Multispectral and Hyperspectral UAV Data, pages 1163–1170

Hsiao, J.

• DINOKey: Transformer-Based Keypoint Detection for Wildlife Monitoring in Aerial Imagery, pages 961–966

Hsieh, Y.-T.

• Monitoring the Spatial Dynamics of Mikania micrantha During the Flowering Season Using Multi-epoch UAV Imagery: A Case Study North of Liyu Lake, Hualien, Taiwan, pages 121–128

Hsu, P.-H.

• Street-Level Disaster Location Detection Using Image Matching of Social Media Images, pages 1277–1281
• Climate Transition Zones as Emerging Hotspots for Natural Hazards: Insights from Land Use- Climate Feedbacks Amplify Disaster Risk in Taiwan, pages 1323–1329

Hu, B.

• Evaluating a Weighted Ensemble of Deep Learning Models for Individual Tree Crown Delineation from LiDAR Data, pages 81–87
• Modular Fusion for Individual Tree Crown Delineation from Airborne LiDAR Data, pages 97–104
• Real-Time Road Condition Detection and Mapping Using YOLOv11 and Built-In Car Dashcam, pages 129–134
• A Comparative Framework for deriving True Tree Crown (TTC) from Pseudo Tree Crown (PTC), pages 135–140
• Assessing Applications of Self-Supervised Learning for Tree Species Classification from LiDAR Point Clouds, pages 225–231
• High-Resolution GPP Estimation from Sentinel-1 and Sentinel-2 Around AmeriFlux Towers: Evaluating Temporal and Geographic Generalisation, pages 953–959
• Aboveground Biomass (AGB) Estimation Using a Transformer Deep Learning Framework with Multi-Temporal Sentinel-1/2 Data and Growth Constraints, pages 1179–1184

Hu, J.

• An Online Semantically Rich 3D Information System for Collaborative Exploration of Planetary Surfaces, pages 1215–1222

Hu, M.

• Development and Application of an Automated Full-Process Framework for Unauthorized Land-Use Parcel Verification Driven by a UAV Hangar System: A Case Study in Shanghai, China, pages 169–175

Hu, R.

• Estimating the leaf area index of urban trees using terrestrial LiDAR and the PATH method: sensitivity analysis and comparison with optical and direct methods, pages 1123–1129

Hu, Z.

• Space–Time Analysis of Nighttime Light Intensity in Phoenix, Arizona (1992–2024), pages 73–80

Huang, X.

• AURORA-Track: Uncertainty-Aware Identity Prediction for Robust Multi-Object Tracking in Satellite Video, pages 379–385
• Vertical Characterization and Transport Dynamics of UTLS Aerosols over Hubei: A Multiyear Integrated Analysis using CALIOP and MERRA-2, pages 767–772

Huang, Y.-C.

• Monitoring the Spatial Dynamics of Mikania micrantha During the Flowering Season Using Multi-epoch UAV Imagery: A Case Study North of Liyu Lake, Hualien, Taiwan, pages 121–128

Huang, Z.

• Shallow Water Bathymetry Retrieval in the Guangxi Beibu Gulf, China, Using Optical Remote Sensing and Electronic Nautical Charts, pages 789–795

Huo, L.

• Integrating green-shoulder indices from hyperspectral drone imagery and sap flow monitoring to assess water dynamics in healthy and bark beetle-infested trees, pages 939–946
• Repeated Airborne Laser Scanning for Analyzing Drought-Related Crown Dynamics in Mature Norway spruce, pages 1043–1049
• Evaluating the Transferability of Machine-Learning Models for Pre-Emergence Bark Beetle Detection Using Multispectral and Hyperspectral UAV Data, pages 1163–1170
• Estimation of diurnal hydraulic status of spruce trees using drone-based hyperspectral images and green shoulder indices, pages 1171–1178
• Fusion of PlanetScope SuperDove and Orthorectified Aerial Images for Tree-Level Stress Monitoring in Boreal Forests, pages 1443–1450

Hümmer, C.

• PICANTEO: A Modular Change Detection Framework for Remote Sensing Applications, pages 1291–1300

I

Ilyas, R.

• A Comprehensive Framework for Remote Sensing and AI-Driven Real-Time Cotton Health Monitoring and Disease Detection, pages 967–972

Imai, N. N.

• Estimating grassland dry mass in forage mixes using UAV imagery and PCR, pages 1073–1078

Iranzo, C.

• Should UAV-lidar be collected at night? Impacts of Solar Illumination on Intensity, Penetration, and Ground Surface Detection Over Dense and Wet Vegetation, pages 973–978

Isa, N. A.

• Windstorm Hazard Index Development for Malaysia, pages 1339–1348

Isabel, N.

• Large-scale individual crown tree segmentation across entire white spruce forests using UAV hyperspectral imagery and deep learning, pages 931–938

Isteyak, I.

• Snow Water Equivalent trends in North America through the lens of passive microwave remote sensing and deep learning models, pages 811–816

J

Jacquin, A.

• Assessment of automatic hedgerow detection using Pleiades Neo 30cm spatial resolution images and Foundation model, pages 633–641

Jagassar, A.

• Mapping surface area changes in three reservoirs on the island of Trinidad between 2017 and 2023 using Sentinel-1 SAR imagery, pages 241–247

Jain, Y.

• Delineation of Mangroves in Lothian, Sundarbans using multi-frequency SAR and Optical Remote Sensing, pages 923–929

Javed, A.

• Geometry-Conditioned Pix2Pix: Leveraging Explicit Conditioning on SAR Projected Local Incidence Angle for SAR-to-EO Translation Quality Improvement, pages 163–168

Jia, S.

• Impact of Flux Gate Location on Antarctic Mass Balance via Input-Output Method, pages 847–852

Jin, D.

• Stepwise Optimization and Ensemble Pipeline for Building Change Detection in High Resolution Satellite Imagery Using Mamba-Based Model, pages 601–608

Jin, T.

• Exploring Land Use Mapping with Multimodal Data Fusion and Convolutional Neural Network, pages 595–600

Johari, N. N.

• Windstorm Hazard Index Development for Malaysia, pages 1339–1348

Johnsy, A.

• Automated Monitoring of Geolocation Consistency in Micro-satellite SAR Imagery, pages 1359–1365

Joksimovic, D.

• Multi-temporal Green Roof Vegetation Assessment Using Sentinel-2: A Pilot Study, pages 865–870

Josan, H.

• Real-Time Road Condition Detection and Mapping Using YOLOv11 and Built-In Car Dashcam, pages 129–134

Joshi, M. D.

• Seasonal Assessment of Land Use Impacts on Daytime and Nighttime Urban Heat Island Intensity Patterns in a Hot and Arid Region: A Case Study of Ahvaz, Iran, pages 387–393

Jozdani, S.

• DNN-Based Lichen Mapping Using AVIRIS-NG Hyperspectral Imagery and UAV Images in a Rocky Canadian Shield Landscape, pages 1231–1238

Ju, Y.

• Characterizing Wildland-Urban Interface Fire Typology and Climate Associations Across California, USA, pages 1411–1417

K

Kadora, A.

• Post-Fire Urban Runoff Assessment in a Mediterranean Basin Using Integrated UAV–SWMM–HEC-RAS Modelling, pages 1283–1289

Kalia, A. C.

• Semi-Automated Post-Processing Workflow for EGMS InSAR Data in Open-Pit and Dam Deformation Monitoring in the Presence of Sentinel-1 Winter Data Gaps, pages 515–521

Kamboj, N.

• A Comparative Framework for deriving True Tree Crown (TTC) from Pseudo Tree Crown (PTC), pages 135–140

Karantzalos, K.

• Meta-Prompting with Open-Source Language Models for Zero-Shot Scene Classification in Remote Sensing, pages 233–239
• An Open-Source Application and a Benchmarking Framework for Sentinel-2 Image Sharpening, pages 449–455
• Mowing Event Temporal Localization on Dense Satellite Time Series Using Foundational Models, pages 1009–1014

Karim, M.

• Snow Water Equivalent trends in North America through the lens of passive microwave remote sensing and deep learning models, pages 811–816

Karimi Firozjaei, M.

• Seasonal Assessment of Land Use Impacts on Daytime and Nighttime Urban Heat Island Intensity Patterns in a Hot and Arid Region: A Case Study of Ahvaz, Iran, pages 387–393
• High-Resolution Downscaling of Urban Land Surface Temperature via Machine Learning, pages 405–410

Karwowska, K.

• Fusion of AlphaEarth Embeddings and Sentinel-1 Time-Series for Conflict-Related Urban Damage Mapping, pages 1331–1338

Karya, S. A.

• Synthesizing hyperspectral Data using generative Models to train spectral Unmixing Methods for low-cost Crop Residue Cover Mapping, pages 881–888

Kavzoglu, T.

• Towards Global Interpretability: Evaluating XAI Metrics in Building Footprint Extraction, pages 317–323

Kelp, M.

• Tracking the efficacy of prescribed burns in three phases: fuel removal, wildfire mitigation, and vegetation recovery, pages 987–993

Kiavarz Moghaddam, H.

• A Multilingual LLM-Based GeoAI Framework for Natural-Language-Driven Remote Sensing Analysis, pages 1427–1434

Kiavarz Moghaddam, M.

• A Multilingual LLM-Based GeoAI Framework for Natural-Language-Driven Remote Sensing Analysis, pages 1427–1434

Kiavarz, M.

• Seasonal Assessment of Land Use Impacts on Daytime and Nighttime Urban Heat Island Intensity Patterns in a Hot and Arid Region: A Case Study of Ahvaz, Iran, pages 387–393
• High-Resolution Downscaling of Urban Land Surface Temperature via Machine Learning, pages 405–410

Kim, B.-R.

• Deep Learning Benchmarks for short-term Arctic Sea Ice Forecasting, pages 805–810

Kim, C.-E.

• A Dynamically Weighted Framework for Adaptive Reference-Based Super-Resolution, pages 1367–1372

Kim, E.

• Automated Monitoring of Geolocation Consistency in Micro-satellite SAR Imagery, pages 1359–1365

Kim, S.

• Rapid Georeferencing of Sensor-Limited Helicopter Imagery for Wildfire Response, pages 1395–1402

Kirui, P. K.

• Semi-Automated Post-Processing Workflow for EGMS InSAR Data in Open-Pit and Dam Deformation Monitoring in the Presence of Sentinel-1 Winter Data Gaps, pages 515–521

Klassen, S.

• Multi-Temporal, Multi-Modal UAV and Machine Learning Framework for Early Detection and Mapping of Bacterial Leaf Blight in Rice, pages 1451–1456

Klock, J. E.

• Analysis of Sentinel-2A orbital imagery for the detection of deforested areas caused by artisanal mining activities in the Tapajós Environmental Protection Area, northern Jacareacanga municipality, Pará State, Brazil, pages 609–615

Knabe, F. M.

• Combining UAV SAR Tomography and Photogrammetry to study an Active Volcanic Vent in Iceland, pages 257–263

Knudby, A.

• Estimating inland water quality parameters using Wyvern Dragonette-001 hyperspectral imagery, a case study from the St. Lawrence River, Canada, pages 349–354

Kobayashi, Y.

• A Multi-Stage Deep Learning Framework for Shadow Detection in Aerial Orthophotos, pages 141–146

Koivumäki, N.

• Evaluating the Transferability of Machine-Learning Models for Pre-Emergence Bark Beetle Detection Using Multispectral and Hyperspectral UAV Data, pages 1163–1170

Kolloch, M.

• Multispectral Anomaly Detection: Comparison of sensor bands in conventional and machine learning approaches, pages 431–438

Kottler, B.

• Land Cover Classification of Multi-Source Airborne Data using Conventional and Deep-Learning-Based Unsupervised Domain Adaptation, pages 57–64
• Comparison of Machine Learning and Physics-Based Approaches for Thermal Infrared Simulation for Urban Digital Twins, pages 395–403

Kouki, G.

• Super-Resolution of Sentinel-2 Imagery Using Latent Diffusion Models for Photovoltaic Site Assessment, pages 13–17

Kraus, J.

• A robust and transferable AI workflow for segmenting ground-mounted Photovoltaic Systems, pages 265–272

Krašovec, N.

• Noise-Aware Data Augmentation for Robust Road Detection in Small Satellite Imagery, pages 147–154
• Using Deep Learning–Extracted Road Networks for More Accurate Small Satellite Geometric Correction, pages 189–196

Kreutzenberger, K.

• Automated 3D extraction of hydromorphological metrics from LiDAR data, pages 831–837

Kreuziger, U.

• A robust and transferable AI workflow for segmenting ground-mounted Photovoltaic Systems, pages 265–272

Krieger-Pottruff, E. J.

• Modelling Wildfire Burn Severity in Canadian Megafires, pages 617–624

Krtalić, A.

• Prototype Design of a Data Warehouse for Determining, Mapping, Monitoring and Visualizing Urban Heat Islands: The Case of Zagreb and Split, Croatia, pages 155–162

Kumari, R.

• GRACE and GRACE Follow On: On Accurate estimation of Groundwater Storage Change from Satellite Gravimetry and Beyond, pages 783–788

Kupková, L.

• Evaluating the Transferability of Machine-Learning Models for Pre-Emergence Bark Beetle Detection Using Multispectral and Hyperspectral UAV Data, pages 1163–1170

Kuveždić Divjak, A.

• Prototype Design of a Data Warehouse for Determining, Mapping, Monitoring and Visualizing Urban Heat Islands: The Case of Zagreb and Split, Croatia, pages 155–162

Kys, K.

• Snow Water Equivalent trends in North America through the lens of passive microwave remote sensing and deep learning models, pages 811–816

Körting, T. S.

• Applying a U-Net Convolutional Neural Network for Mapping Banana Crops in the Atlantic Forest Region of Brazil Using CBERS-4A High Spatial Resolution Imagery, pages 907–914

L

Laamrani, A.

• Integrating Hyperspectral and Phenological Features for Cereals Mapping in a Mediterranean Region, Morocco, pages 915–921
• A single Hyperspectral image for predicting Soil Organic Matter in saline semi-arid lands: insights from Random Forests and optimal band selection models, pages 947–952

Laborte, A.

• Multi-Temporal, Multi-Modal UAV and Machine Learning Framework for Early Detection and Mapping of Bacterial Leaf Blight in Rice, pages 1451–1456

Lallement, D.

• PICANTEO: A Modular Change Detection Framework for Remote Sensing Applications, pages 1291–1300

Landes, T.

• Estimating the leaf area index of urban trees using terrestrial LiDAR and the PATH method: sensitivity analysis and comparison with optical and direct methods, pages 1123–1129

Larsen, Y.

• From InSAR Norway to a Global Ground Motion Service: Operational Monitoring for Disaster Risk Reduction, pages 1457–1464

Lecomte, V.

• Estimating the leaf area index of urban trees using terrestrial LiDAR and the PATH method: sensitivity analysis and comparison with optical and direct methods, pages 1123–1129

Lee, I.

• Rapid Georeferencing of Sensor-Limited Helicopter Imagery for Wildfire Response, pages 1395–1402

Lee, J.

• Geometry-Conditioned Pix2Pix: Leveraging Explicit Conditioning on SAR Projected Local Incidence Angle for SAR-to-EO Translation Quality Improvement, pages 163–168

Lespez, L.

• Automated 3D extraction of hydromorphological metrics from LiDAR data, pages 831–837

Lewińska, M.

• Fusion of AlphaEarth Embeddings and Sentinel-1 Time-Series for Conflict-Related Urban Damage Mapping, pages 1331–1338

Li, C.

• Mapping and Understanding the Synergy Between Land Surface Temperature and PM₂.₅ at 250 m Resolution in Wuhan: Implications for Climate Adaptation and Air Quality Management, pages 719–728

Li, H.

• Quality Inspection and Intelligent Fusion Method for Automated Production of Large-Scale Remote Sensing Image Tiles, pages 301–308

Li, J.

• Vertical Characterization and Transport Dynamics of UTLS Aerosols over Hubei: A Multiyear Integrated Analysis using CALIOP and MERRA-2, pages 767–772
• Risk-Aware LLM Agents for Geospatial Data Retrieval: Design and Preliminary Adversarial Evaluation, pages 1419–1426
• Comparative Study of Stable Diffusion-Based Super-Resolution Methods for Remote Sensing Imagery, pages 1435–1442

Li, Q.

• Evaluating a Weighted Ensemble of Deep Learning Models for Individual Tree Crown Delineation from LiDAR Data, pages 81–87
• Modular Fusion for Individual Tree Crown Delineation from Airborne LiDAR Data, pages 97–104

Li, W.

• Rapid Building Damage Detection from Remote Sensing Images: a Novel Lightweight Network with Contrastive Learning, pages 1301–1306
• Fast Cloud Property Retrieval from TROPOMI O₂-A Band Observations Using a DISAMAR-Based Neural Network Framework, pages 1487–1492

Li, Y.

• Development and Application of an Automated Full-Process Framework for Unauthorized Land-Use Parcel Verification Driven by a UAV Hangar System: A Case Study in Shanghai, China, pages 169–175
• Change Detection and Future Land Use Projections in Zhejiang Province, China: A Case Study, pages 661–667
• Water Quality Inversion and Spatiotemporal Analysis of Changshu City Based on Multi-source Remote Sensing Data, pages 979–985

Li, Z.

• Crater Graph-Assisted Bundle Adjustment for Precision Topographic Mapping of Mars, pages 1257–1262

Liang, L.

• Characterizing Wildland-Urban Interface Fire Typology and Climate Associations Across California, USA, pages 1411–1417

Lin, B.-Y.

• Monitoring the Spatial Dynamics of Mikania micrantha During the Flowering Season Using Multi-epoch UAV Imagery: A Case Study North of Liyu Lake, Hualien, Taiwan, pages 121–128

Lin, Y.

• Analysing the Impacts of Natural-Factor Variability on Lake Water Volume Using the Generalized Method of Moment, pages 729–735

Lindberg, E.

• Integrating green-shoulder indices from hyperspectral drone imagery and sap flow monitoring to assess water dynamics in healthy and bark beetle-infested trees, pages 939–946

Ling, X.

• GAN-Based PAN-to-RGB Image Translation for Remote Sensing Data, pages 113–119

Ling, Y.

• A Dual-Task Optimization Approach for Digital Elevation Model Correction with Spaceborne LiDAR Data, pages 177–182

Lisec, A.

• Detection of Cropland Abandonment through Multi-Temporal Landsat Data and Spatially Independent Machine Learning Validation, pages 679–688
• Near Real-Time Flood Mapping from Sentinel Data Using Machine Learning Techniques, pages 797–803

Liu, H.

• Road Segmentation from Satellite Imagery Based on an Improved SAM Model, pages 309–315
• Dynamic Monitoring and Spatiotemporal Analysis of Soil Erosion in Changting County, Fujian Province from 2005 to 2025, pages 1015–1021
• Research on Inversion Technology of Empirical Models for Water Chlorophyll Concentration Based on Sentinel-2 Images, pages 1113–1121

Liu, J.

• Comparative Evaluation of Machine Learning Models for Gold Prospectivity Mapping: A Case Study from Labrador, Canada, pages 25–31
• Research and Implementation of Key Technologies for High Resolution Satellite Image Instant Service System, pages 183–188
• Shallow Water Bathymetry Retrieval in the Guangxi Beibu Gulf, China, Using Optical Remote Sensing and Electronic Nautical Charts, pages 789–795
• Urban Livability Analysis Based on Multi-Source Remote Sensing Data, pages 1191–1196

Liu, P.

• Quality Control For Large-Scale Bundle Adjustment Of Planetary Remote Sensing Images, pages 1223–1230
• Refinement of Asteroid Rotation Parameters via Stereo Intersection Angle Optimization and Masked Feature Matching, pages 1249–1255

Liu, S.

• Water Quality Inversion and Spatiotemporal Analysis of Changshu City Based on Multi-source Remote Sensing Data, pages 979–985

Liu, T.

• Analysis of Spatiotemporal Changes in Land Cover of Wind Farms within County Areas, pages 625–631
• Tracking the efficacy of prescribed burns in three phases: fuel removal, wildfire mitigation, and vegetation recovery, pages 987–993
• Urban Livability Analysis Based on Multi-Source Remote Sensing Data, pages 1191–1196

Liu, W.

• Refinement of Asteroid Rotation Parameters via Stereo Intersection Angle Optimization and Masked Feature Matching, pages 1249–1255

Liu, Y.

• Multi-Scenario Prediction of Ecosystem Service Value in Huzhou City Based on the PLUS Model, pages 737–744
• Dynamic Monitoring and Spatiotemporal Analysis of Soil Erosion in Changting County, Fujian Province from 2005 to 2025, pages 1015–1021
• Urban Livability Analysis Based on Multi-Source Remote Sensing Data, pages 1191–1196

Liu, Z.

• Integrating Multi-Source Temperature Data and Explainable Deep Learning for Urban Microclimate Analysis, pages 439–448

Lojan-Tenesaca, H.

• Spatial Analysis of Mining Intensity in Buffer Zones of Protected Areas of the Ecuadorian Amazon, pages 995–1002

Louichon, H.

• MQTT-Enabled Federated Self-Learning Minimal Learning Machine Classifier for Real-Time Hyperspectral Processing, pages 411–419

Lu, F.

• Fast Cloud Property Retrieval from TROPOMI O₂-A Band Observations Using a DISAMAR-Based Neural Network Framework, pages 1487–1492

Lu, Y.

• Shallow Water Bathymetry Retrieval in the Guangxi Beibu Gulf, China, Using Optical Remote Sensing and Electronic Nautical Charts, pages 789–795
• Comparative Study of Stable Diffusion-Based Super-Resolution Methods for Remote Sensing Imagery, pages 1435–1442

M

Ma, G.

• RSCDG: Remote Sensing Change/Damage Image Generator Based on Prior Foundation Model and Multimodal Reference Information, pages 33–39
• Remote Sensing Image Captioning via Dual-Stream Fusion and Spatial Relation-Aware Encoding, pages 41–47
• Rapid Building Damage Detection from Remote Sensing Images: a Novel Lightweight Network with Contrastive Learning, pages 1301–1306

Ma, H.

• Quality Control For Large-Scale Bundle Adjustment Of Planetary Remote Sensing Images, pages 1223–1230

Ma, Q.

• Characterizing Wildland-Urban Interface Fire Typology and Climate Associations Across California, USA, pages 1411–1417

Maas, H.-G.

• Evaluating the Adaptation Potential of SAM2 for Glacier Segmentation in severe Weather, pages 205–212

Macdonald, A. J.

• Advancing Canadian wildfire technology through onboard processing and on the ground collaboration, pages 1387–1393

Magurano, C.

• Land cover mapping from orthorectified Neo-Pleiades imagery via Object-Based methods, pages 701–709

Major, I.

• Large-scale individual crown tree segmentation across entire white spruce forests using UAV hyperspectral imagery and deep learning, pages 931–938

Mao, W.

• Road Segmentation from Satellite Imagery Based on an Improved SAM Model, pages 309–315
• Techniques and methods of product quality inspection Urban Spatial Monitoring, pages 1373–1378

Marques de Magalhães, D.

• Trend Analysis and Temperature Prediction Using MODIS Time Series Images in the Metropolitan Regions of Campinas and Piracicaba - Brazil, pages 363–369

Marsetič, A.

• Noise-Aware Data Augmentation for Robust Road Detection in Small Satellite Imagery, pages 147–154
• Using Deep Learning–Extracted Road Networks for More Accurate Small Satellite Geometric Correction, pages 189–196

Mauduit, P.

• PICANTEO: A Modular Change Detection Framework for Remote Sensing Applications, pages 1291–1300

Mayerowitz, A.

• Assessment of automatic hedgerow detection using Pleiades Neo 30cm spatial resolution images and Foundation model, pages 633–641

McAlpine, R.

• Advancing Canadian wildfire technology through onboard processing and on the ground collaboration, pages 1387–1393

Meißner, H.

• A robust and transferable AI workflow for segmenting ground-mounted Photovoltaic Systems, pages 265–272

Mendonca, J.

• The Arctic Observing Mission (AOM): A high priority candidate mission for the Government of Canada, pages 1465–1470

Mentaschi, L.

• AI-Assisted Physical Modeling of Sun Glint to Improve Inter-Sensor Consistency of Remote Sensing Reflectance in Coastal Waters, pages 825–830

Mi, P.

• AURORA-Track: Uncertainty-Aware Identity Prediction for Robust Multi-Object Tracking in Satellite Video, pages 379–385

Miao, L.

• Urban Livability Analysis Based on Multi-Source Remote Sensing Data, pages 1191–1196

Miao, Z.

• Vertical Characterization and Transport Dynamics of UTLS Aerosols over Hubei: A Multiyear Integrated Analysis using CALIOP and MERRA-2, pages 767–772

Mijani, N.

• Seasonal Assessment of Land Use Impacts on Daytime and Nighttime Urban Heat Island Intensity Patterns in a Hot and Arid Region: A Case Study of Ahvaz, Iran, pages 387–393
• High-Resolution Downscaling of Urban Land Surface Temperature via Machine Learning, pages 405–410

Millard, K.

• Should UAV-lidar be collected at night? Impacts of Solar Illumination on Intensity, Penetration, and Ground Surface Detection Over Dense and Wet Vegetation, pages 973–978

Minghao, L.

• Integrating Multi-Source Temperature Data and Explainable Deep Learning for Urban Microclimate Analysis, pages 439–448

Miranda, M. D. S.

• Applying a U-Net Convolutional Neural Network for Mapping Banana Crops in the Atlantic Forest Region of Brazil Using CBERS-4A High Spatial Resolution Imagery, pages 907–914

Miura, N.

• LiDAR vs. SfM: Which is better for analysing habitat of the harvest mouse (Micromys minutus)?, pages 1003–1008

Mohite, J.

• Pre-Ignition Forest Fire Risk Prediction Using Multi-Temporal Vegetation Indices and Machine Learning: A Case Study from California, pages 1403–1410

Moldestad, D. A.

• From InSAR Norway to a Global Ground Motion Service: Operational Monitoring for Disaster Risk Reduction, pages 1457–1464

Monfort, M.

• Back-to-back approach to SAR interferometry, pages 509–514

Monserrat, O.

• Advanced Persistent Scatterer Interferometry products, pages 487–492
• Back-to-back approach to SAR interferometry, pages 509–514

Monti, R.

• Spatio-temporal modeling of bridge deformations from Sentinel-1 SAR images validated with multiple in-situ surveys, pages 197–204

Moreira, J.

• Combining UAV SAR Tomography and Photogrammetry to study an Active Volcanic Vent in Iceland, pages 257–263

Moreno, A.

• Upscaling vegetation cover from UAV to satellite imagery, pages 897–905

Motagh, M.

• Combining UAV SAR Tomography and Photogrammetry to study an Active Volcanic Vent in Iceland, pages 257–263

Moumouris, T.

• Mowing Event Temporal Localization on Dense Satellite Time Series Using Foundational Models, pages 1009–1014

Moyon, L.

• Assessment of automatic hedgerow detection using Pleiades Neo 30cm spatial resolution images and Foundation model, pages 633–641

Muick, M.

• The advantage of reflectance measurements in radiometric adjustment of aerial imagery, pages 1379–1385

Mun, K.-Y.

• Deep learning–based enhancement of feature tracking for sea ice drift estimation, pages 817–823

Mwangi, P.

• Seasonal Variability between Major Air Pollutants and Physical Landscapes in the Greater Nairobi Metropolitan Region, pages 1205–1213

Müller, D.

• Combining UAV SAR Tomography and Photogrammetry to study an Active Volcanic Vent in Iceland, pages 257–263

Müterthies, A.

• Integrating MTInSAR and Geoscientific Data for Subsurface Deformation Monitoring in the Epe Cavern Field, Germany, pages 537–543

N

Naeijian, R.

• Spatio-temporal modeling of bridge deformations from Sentinel-1 SAR images validated with multiple in-situ surveys, pages 197–204

Nagarajan, S.

• Integrating Multi-Source Agricultural Data with Machine Learning to Improve Crop Mapping Accuracy: A Case Study of the Navajo Nation, pages 1131–1137

Nagathihalli Lokesh, B.

• Evaluating the Adaptation Potential of SAM2 for Glacier Segmentation in severe Weather, pages 205–212

Najjar, G.

• Estimating the leaf area index of urban trees using terrestrial LiDAR and the PATH method: sensitivity analysis and comparison with optical and direct methods, pages 1123–1129

Nakamura, S.

• A Multi-Stage Deep Learning Framework for Shadow Detection in Aerial Orthophotos, pages 141–146

Narin, O. G.

• Assessing the Temporal Transferability of Random Forest Models for Land Use and Land Cover Change Detection, pages 689–694
• Sensitivity of Spaceborne LiDAR, Optical, and SAR Features for Forest Biomass Modelling: A GEDI–Sentinel-2–SAOCOM Analysis, pages 1023–1028

Narin, Ö. G.

• Leveraging PolSAR Features and Machine Learning for Improved Land Cover Discrimination with ALOS-2 PALSAR-2: A Comprehensive Evaluation over the Istanbul Metropolitan Region, pages 475–480

Nascimento dos Santos, C. E.

• Trend Analysis and Temperature Prediction Using MODIS Time Series Images in the Metropolitan Regions of Campinas and Piracicaba - Brazil, pages 363–369

Nassar, R.

• The Arctic Observing Mission (AOM): A high priority candidate mission for the Government of Canada, pages 1465–1470

Nechet, K. D. L.

• Mapping Perennial Crops in Complex Tropical Landscapes with Harmonized Landsat Sentinel Time Series, pages 1079–1087

Nelson, A.

• Multi-Temporal, Multi-Modal UAV and Machine Learning Framework for Early Detection and Mapping of Bacterial Leaf Blight in Rice, pages 1451–1456

Nerry, F.

• Estimating the leaf area index of urban trees using terrestrial LiDAR and the PATH method: sensitivity analysis and comparison with optical and direct methods, pages 1123–1129

Nguyen, D.-T.

• The Arctic Observing Mission (AOM): A high priority candidate mission for the Government of Canada, pages 1465–1470

Ni, H.

• Dynamic Monitoring and Spatiotemporal Analysis of Soil Erosion in Changting County, Fujian Province from 2005 to 2025, pages 1015–1021

Nieto, J.

• Lights that Extinguish Nature in Protected Forests: A Look at the Impact of Light Pollution, pages 1197–1204

Niroumand-Jadidi, M.

• AI-Assisted Physical Modeling of Sun Glint to Improve Inter-Sensor Consistency of Remote Sensing Reflectance in Coastal Waters, pages 825–830

Niu, X.

• Multi-Scenario Prediction of Ecosystem Service Value in Huzhou City Based on the PLUS Model, pages 737–744
• Dynamic Monitoring and Spatiotemporal Analysis of Soil Erosion in Changting County, Fujian Province from 2005 to 2025, pages 1015–1021

Nocerino, E.

• Land cover mapping from orthorectified Neo-Pleiades imagery via Object-Based methods, pages 701–709

Norton, L.

• Approaches to Atmospheric Modelling and Multi-source Data Collection and Processing for the FINCH CubeSat, pages 1103–1111

Ntouskos, V.

• Meta-Prompting with Open-Source Language Models for Zero-Shot Scene Classification in Remote Sensing, pages 233–239

Näsi, R.

• Evaluating the Transferability of Machine-Learning Models for Pre-Emergence Bark Beetle Detection Using Multispectral and Hyperspectral UAV Data, pages 1163–1170

O

Oh, J.

• Rapid Georeferencing of Sensor-Limited Helicopter Imagery for Wildfire Response, pages 1395–1402

Oré Huacles, G. C.

• Combining UAV SAR Tomography and Photogrammetry to study an Active Volcanic Vent in Iceland, pages 257–263

Osako, L. S.

• Analysis of Sentinel-2A orbital imagery for the detection of deforested areas caused by artisanal mining activities in the Tapajós Environmental Protection Area, northern Jacareacanga municipality, Pará State, Brazil, pages 609–615

Otobe, K.

• Tracking the efficacy of prescribed burns in three phases: fuel removal, wildfire mitigation, and vegetation recovery, pages 987–993

Ouzemou, J.-E.

• A single Hyperspectral image for predicting Soil Organic Matter in saline semi-arid lands: insights from Random Forests and optimal band selection models, pages 947–952

Ozdemir, E. G.

• Sensitivity of Spaceborne LiDAR, Optical, and SAR Features for Forest Biomass Modelling: A GEDI–Sentinel-2–SAOCOM Analysis, pages 1023–1028

Ozkan, C.

• From Global to Station-Centric Models: Improved Chlorophyll-a Prediction in the Gulf of İzmir Using Sentinel-2, pages 213–218

Oštir, K.

• Detection of Cropland Abandonment through Multi-Temporal Landsat Data and Spatially Independent Machine Learning Validation, pages 679–688
• Near Real-Time Flood Mapping from Sentinel Data Using Machine Learning Techniques, pages 797–803

de Oliveira, L. P.

• Combining UAV SAR Tomography and Photogrammetry to study an Active Volcanic Vent in Iceland, pages 257–263

P

Padalia, H.

• Assessing Effect of Droughts and Heatwaves on Indian Tropical Forests using Time-Series Meteorological and Vegetation Biophysical Parameters, pages 1029–1036

Palamà, R.

• Advanced Persistent Scatterer Interferometry products, pages 487–492

Pampuch Bortolozo, L. A.

• Spatiotemporal Trends of Extreme Precipitation in Caraguatatuba (SE Brazil) from CHIRPS Data (1981–2024) Using GEE and Climate Indices, pages 1271–1276

Pandit, A.

• Pre-Ignition Forest Fire Risk Prediction Using Multi-Temporal Vegetation Indices and Machine Learning: A Case Study from California, pages 1403–1410

Papadopoulos, N.

• Integrated Geoinformatics for Reconstructing the Cultural Dynamics in Coastal and Shallow Submerged Sites, pages 219–224

Parajuli, S.

• Optimization of the National Biomass Allometric Equation Using Remote Sensing Data, pages 1037–1042

Parreiras, T. C.

• Mapping Perennial Crops in Complex Tropical Landscapes with Harmonized Landsat Sentinel Time Series, pages 1079–1087

Pascual, A.

• Advancing Canadian wildfire technology through onboard processing and on the ground collaboration, pages 1387–1393

Passos, J.

• Pernambuco Waterbody Dataset (PWD): A High-Resolution Multi-Source Dataset for Deep Learning-Based Waterbody Segmentation in Tropical and Semi-Arid Regions, pages 669–677

Patel, M.

• DINOKey: Transformer-Based Keypoint Detection for Wildlife Monitoring in Aerial Imagery, pages 961–966

Paul, S.

• Advancing Canadian wildfire technology through onboard processing and on the ground collaboration, pages 1387–1393

Pavelka, K.

• Estimating Long-Term Groundwater Storage Change in the Chad Basin, Nigeria, Using GRACE/GRACE-FO and GLDAS Terrestrial Water Storage Anomalies, pages 859–864

Pavlov, F.

• Spectral Unmixing and Design Requirements for a low-cost Crop Residue Cover Mapping Nanosatellite, pages 889–896
• Approaches to Atmospheric Modelling and Multi-source Data Collection and Processing for the FINCH CubeSat, pages 1103–1111

Pavlovsky, P.

• Back-to-back approach to SAR interferometry, pages 509–514

Pawlik, M.

• Integrating MTInSAR and Geoscientific Data for Subsurface Deformation Monitoring in the Epe Cavern Field, Germany, pages 537–543

Pedersen, G. B. M.

• Combining UAV SAR Tomography and Photogrammetry to study an Active Volcanic Vent in Iceland, pages 257–263

Pehani, P.

• Using Deep Learning–Extracted Road Networks for More Accurate Small Satellite Geometric Correction, pages 189–196

Pei, Z.

• Global Point Source CO₂ Emissions Monitoring Based on Hyperspectral Remote Sensing Imagery, pages 1471–1476

Penanhoat, A.

• Repeated Airborne Laser Scanning for Analyzing Drought-Related Crown Dynamics in Mature Norway spruce, pages 1043–1049

Peng, A.

• Synthesizing hyperspectral Data using generative Models to train spectral Unmixing Methods for low-cost Crop Residue Cover Mapping, pages 881–888

Peng, Z.

• Quality Control For Large-Scale Bundle Adjustment Of Planetary Remote Sensing Images, pages 1223–1230
• Refinement of Asteroid Rotation Parameters via Stereo Intersection Angle Optimization and Masked Feature Matching, pages 1249–1255

Pereira, M. D. A.

• From Natural Land to Built-Up Areas: Monitoring Residential Expansion Using Sentinel-2 and Support Vector Machine, pages 581–587

Perez-Correa, J.

• Lights that Extinguish Nature in Protected Forests: A Look at the Impact of Light Pollution, pages 1197–1204

Peña-Villacreses, G.

• Lights that Extinguish Nature in Protected Forests: A Look at the Impact of Light Pollution, pages 1197–1204

Piccolo, G.

• Bitemporal Spatial Autocorrelation Matrix for Change Detection in Multispectral Imagery: A Case Study on the Drying of a Lake in Southern Italy, pages 643–649

Pico Molineros, A.

• Comparison of Supervised Classification Algorithms for Land Use Land Cover in Guayaquil: An Assessment with Landsat and MapBiomas, pages 565–572

Pigna, A.

• AI-based multi-temporal analysis of urban dynamics using Sentinel-2 data. A case study over Osmaniye, Turkey, pages 1307–1314

Pinto, L.

• Spatio-temporal modeling of bridge deformations from Sentinel-1 SAR images validated with multiple in-situ surveys, pages 197–204

Piras, M.

• Upscaling vegetation cover from UAV to satellite imagery, pages 897–905

Pirasteh, S.

• Change Detection and Future Land Use Projections in Zhejiang Province, China: A Case Study, pages 661–667

Poblete, T.

• Impact of Spectral Resolution on SIF Quantification for Explaining Almond Yield Variability, pages 1157–1162

Polidori, L.

• Preface: Technical Commission III (Remote Sensing), pages 1–1

Pontone, N.

• Should UAV-lidar be collected at night? Impacts of Solar Illumination on Intensity, Penetration, and Ground Surface Detection Over Dense and Wet Vegetation, pages 973–978

Pott, J.

• Assessing Applications of Self-Supervised Learning for Tree Species Classification from LiDAR Point Clouds, pages 225–231

Pradan, L.

• Assessing Effect of Droughts and Heatwaves on Indian Tropical Forests using Time-Series Meteorological and Vegetation Biophysical Parameters, pages 1029–1036

Praks, J.

• Global Coverage of Sentinel-1 and Spaceborne LiDAR: A Data-Driven Foundation for Forest Height Estimation, pages 467–473

Promponas, A.

• Meta-Prompting with Open-Source Language Models for Zero-Shot Scene Classification in Remote Sensing, pages 233–239

Psalta, A.

• Mowing Event Temporal Localization on Dense Satellite Time Series Using Foundational Models, pages 1009–1014

Pylypenko, O.

• Machine Learning for Marine Dock Detection Using LiDAR Intensity and Detectron2, pages 273–280

Pérez-Cabello, F.

• Should UAV-lidar be collected at night? Impacts of Solar Illumination on Intensity, Penetration, and Ground Surface Detection Over Dense and Wet Vegetation, pages 973–978

Pölönen, I.

• MQTT-Enabled Federated Self-Learning Minimal Learning Machine Classifier for Real-Time Hyperspectral Processing, pages 411–419

de Paula, E. M. S.

• Comparison of Supervised Classification Algorithms for Land Use Land Cover in Guayaquil: An Assessment with Landsat and MapBiomas, pages 565–572
• Lights that Extinguish Nature in Protected Forests: A Look at the Impact of Light Pollution, pages 1197–1204

Q

Qi, J.

• ERD: Extended RAW-Diffusion Framework for De-rendering sRGB Images, pages 249–256

Qian, S.-E.

• The Arctic Observing Mission (AOM): A high priority candidate mission for the Government of Canada, pages 1465–1470

Qin, K.

• Reassessing the Reliability of WRF-CMAQ-Based PM_2.5 Prediction from a Generalization Perspective, pages 1477–1485

Qin, W.

• AURORA-Track: Uncertainty-Aware Identity Prediction for Robust Multi-Object Tracking in Satellite Video, pages 379–385

Qiu, K.

• Land Cover Classification of Multi-Source Airborne Data using Conventional and Deep-Learning-Based Unsupervised Domain Adaptation, pages 57–64

Qiu, R.

• Integrating Multi-Source Temperature Data and Explainable Deep Learning for Urban Microclimate Analysis, pages 439–448
• Mapping and Understanding the Synergy Between Land Surface Temperature and PM₂.₅ at 250 m Resolution in Wuhan: Implications for Climate Adaptation and Air Quality Management, pages 719–728

Qu, Y.

• ERD: Extended RAW-Diffusion Framework for De-rendering sRGB Images, pages 249–256

R

Radić, F.

• Automatic Estimation of Building Construction Year and Height from Earth Observation Data for Urban Risk Assessment, pages 589–594

Rafiq, S.

• Remote Sensing and AI-Driven Sustainable Cotton Farming for a Resilient Future, pages 1097–1102

Rahman, Y.

• Snow Water Equivalent trends in North America through the lens of passive microwave remote sensing and deep learning models, pages 811–816

Raita, A.-M.

• MQTT-Enabled Federated Self-Learning Minimal Learning Machine Classifier for Real-Time Hyperspectral Processing, pages 411–419

Ramlie, M. C.

• Advanced Persistent Scatterer Interferometry products, pages 487–492

Ramsewak, D.

• Mapping surface area changes in three reservoirs on the island of Trinidad between 2017 and 2023 using Sentinel-1 SAR imagery, pages 241–247

Ranganath, S.

• Satellite Image-Based Spatial Analysis of Urban Air Quality Index, pages 773–781

Rawal, D.

• Satellite Image-Based Spatial Analysis of Urban Air Quality Index, pages 773–781

Re, C.

• YOLOLens2.0: A Unified Super-Resolution and Detection Framework for High-Fidelity Crater Mapping in Lunar Permanently Shadowed Regions, pages 1239–1248

Reguzzoni, M.

• Spatio-temporal modeling of bridge deformations from Sentinel-1 SAR images validated with multiple in-situ surveys, pages 197–204

Reichstein, A.

• Semi-Automated Post-Processing Workflow for EGMS InSAR Data in Open-Pit and Dam Deformation Monitoring in the Presence of Sentinel-1 Winter Data Gaps, pages 515–521

Remmel, T. K.

• Optimization of the National Biomass Allometric Equation Using Remote Sensing Data, pages 1037–1042
• Integrating Explainable Machine Learning and Classification methods for Wildland Fire Danger Mapping, pages 1315–1321

Riedel, V.

• Large-scale individual crown tree segmentation across entire white spruce forests using UAV hyperspectral imagery and deep learning, pages 931–938

Ritushree, D. K.

• Combining UAV SAR Tomography and Photogrammetry to study an Active Volcanic Vent in Iceland, pages 257–263

Rocca, M. T.

• Spatiotemporal Modelling of Ground-Level Air Temperature in an agricultural context: Rigorous Evaluation of LST Modis and Landsat-8 Imagery Data, pages 1051–1057

Rocha Gonçalves, A.

• Trend Analysis and Temperature Prediction Using MODIS Time Series Images in the Metropolitan Regions of Campinas and Piracicaba - Brazil, pages 363–369

Rodriguez González, K.

• Spatial Analysis of Mining Intensity in Buffer Zones of Protected Areas of the Ecuadorian Amazon, pages 995–1002

Rodríguez González, K. D.

• High-resolution LiDAR and thermal UAV data for 3D analysis of urban vegetation structure and its cooling effect in San Nicolás, Mexico, pages 421–429

Rohan, M. S.

• Assessing Effect of Droughts and Heatwaves on Indian Tropical Forests using Time-Series Meteorological and Vegetation Biophysical Parameters, pages 1029–1036

Romero-Bermeo, D.

• Fluvial Dynamics Changes Driven by Illegal Gold Mining: A Land Use/Land Cover Analysis in the Ecuadorian Amazon, pages 573–580

Rossete, A. N.

• Analysis of Sentinel-2A orbital imagery for the detection of deforested areas caused by artisanal mining activities in the Tapajós Environmental Protection Area, northern Jacareacanga municipality, Pará State, Brazil, pages 609–615

Rossi, L.

• Spatio-temporal modeling of bridge deformations from Sentinel-1 SAR images validated with multiple in-situ surveys, pages 197–204

Roure, N.

• Assessment of automatic hedgerow detection using Pleiades Neo 30cm spatial resolution images and Foundation model, pages 633–641

Rudolph, T.

• Integrating MTInSAR and Geoscientific Data for Subsurface Deformation Monitoring in the Epe Cavern Field, Germany, pages 537–543

Ruescas, A. B.

• Upscaling vegetation cover from UAV to satellite imagery, pages 897–905

Rétat, A.

• Automated 3D extraction of hydromorphological metrics from LiDAR data, pages 831–837

S

Di Stasio, P.

• AI-based multi-temporal analysis of urban dynamics using Sentinel-2 data. A case study over Osmaniye, Turkey, pages 1307–1314

Saba, F.

• Assessment of Different Architectures based on 2D-UNet, 3D-UNet and UNet-ConvLSTM for Land Use Land Cover Classification Using Multi-modal and Multi-temporal Satellite Images, pages 651–659

Sada, C.

• Bitemporal Spatial Autocorrelation Matrix for Change Detection in Multispectral Imagery: A Case Study on the Drying of a Lake in Southern Italy, pages 643–649

Sahebi Vayghan, S.

• Integrating Explainable Machine Learning and Classification methods for Wildland Fire Danger Mapping, pages 1315–1321

Sakamoto, M.

• A Multi-Stage Deep Learning Framework for Shadow Detection in Aerial Orthophotos, pages 141–146

Salleh, S. A.

• Windstorm Hazard Index Development for Malaysia, pages 1339–1348

Sandhu, H. A. S.

• From Pixels to Policy: Using Geospatial Technologies to Assess Sand Mining Regulations, pages 1059–1065

Saran Rando Barros, M.

• Trend Analysis and Temperature Prediction Using MODIS Time Series Images in the Metropolitan Regions of Campinas and Piracicaba - Brazil, pages 363–369

Sarfraz, M. S.

• A Comprehensive Framework for Remote Sensing and AI-Driven Real-Time Cotton Health Monitoring and Disease Detection, pages 967–972
• Remote Sensing and AI-Driven Sustainable Cotton Farming for a Resilient Future, pages 1097–1102

Sathianarayanan, M.

• Street-Level Disaster Location Detection Using Image Matching of Social Media Images, pages 1277–1281
• Climate Transition Zones as Emerging Hotspots for Natural Hazards: Insights from Land Use- Climate Feedbacks Amplify Disaster Risk in Taiwan, pages 1323–1329

Sato, K.

• Assessment Model of the Soil Fertility Potential of Yatsuda Rice Fields Based on Humus Derived Nitrogen Balance Using UAV Hyperspectral Sensor, pages 1067–1072

Sato, S. S.

• Pernambuco Waterbody Dataset (PWD): A High-Resolution Multi-Source Dataset for Deep Learning-Based Waterbody Segmentation in Tropical and Semi-Arid Regions, pages 669–677

Satoh, T.

• A Multi-Stage Deep Learning Framework for Shadow Detection in Aerial Orthophotos, pages 141–146

Sawant, S.

• Pre-Ignition Forest Fire Risk Prediction Using Multi-Temporal Vegetation Indices and Machine Learning: A Case Study from California, pages 1403–1410

Scaioni, M.

• Deformation Pattern Modifications Induced by 2021 Brentonico Earthquake: Insights from EGMS Ortho Products, pages 501–507

Scheiblauer, S.

• On the Suitability of Distributed Scatterers for Bridge Monitoring in Very High Resolution SAR Data, pages 523–528

Schenk, A.

• Identification and Analysis of Recurringly Occluded Persistent Scatterers, with Application to Displacement Monitoring in the Oetztal Alps, pages 493–500

Schirinzi, G.

• Global Coverage of Sentinel-1 and Spaceborne LiDAR: A Data-Driven Foundation for Forest Height Estimation, pages 467–473

Schmidt, A.

• Multispectral Anomaly Detection: Comparison of sensor bands in conventional and machine learning approaches, pages 431–438

Schmitt, M.

• Evaluating Deep Matching Models for SAR-Optical Image Pairs using the SpaceNet9 Dataset, pages 105–111
• On the Suitability of Distributed Scatterers for Bridge Monitoring in Very High Resolution SAR Data, pages 523–528

Scholz, S.

• The advantage of reflectance measurements in radiometric adjustment of aerial imagery, pages 1379–1385

Schönbeck, L.

• Estimation of diurnal hydraulic status of spruce trees using drone-based hyperspectral images and green shoulder indices, pages 1171–1178

Seigner, V.

• Large-scale individual crown tree segmentation across entire white spruce forests using UAV hyperspectral imagery and deep learning, pages 931–938

Senousi, A. M.

• An Automated Approach based on Machine Learning for Tracking Urban Expansion: Case of Study in Gharbia Governorate, Egypt, pages 545–550

Shahbazi, S.

• Advanced Persistent Scatterer Interferometry products, pages 487–492

Shang, J.

• ERD: Extended RAW-Diffusion Framework for De-rendering sRGB Images, pages 249–256

Sharma, A.

• Snow Persistence Dynamics in the Indian North Western Himalaya (2000– 2024): A MODIS-Based Trend Analysis, pages 853–858

Sharma, D.

• Bioaerosol-driven heavy metal deposition and Biospheric response: A remote sensing-assisted Phytoremediation study in the Pin Valley National Park, North-Western Himalayas, pages 753–765

Sharma, N.

• Satellite Image-Based Spatial Analysis of Urban Air Quality Index, pages 773–781

Shen, J.

• Change Detection and Future Land Use Projections in Zhejiang Province, China: A Case Study, pages 661–667

Sheng, Q.

• GAN-Based PAN-to-RGB Image Translation for Remote Sensing Data, pages 113–119

Shevchenko, A. V.

• Combining UAV SAR Tomography and Photogrammetry to study an Active Volcanic Vent in Iceland, pages 257–263

Shi, X.

• AURORA-Track: Uncertainty-Aware Identity Prediction for Robust Multi-Object Tracking in Satellite Video, pages 379–385

Shirmohammadi, M.

• Change Detection and Future Land Use Projections in Zhejiang Province, China: A Case Study, pages 661–667

Sica, F.

• On the Suitability of Distributed Scatterers for Bridge Monitoring in Very High Resolution SAR Data, pages 523–528

Sidhu, K.

• Snow Water Equivalent trends in North America through the lens of passive microwave remote sensing and deep learning models, pages 811–816

Silva, M. M.

• Estimating grassland dry mass in forage mixes using UAV imagery and PCR, pages 1073–1078

Silvano, T. P.

• Pernambuco Waterbody Dataset (PWD): A High-Resolution Multi-Source Dataset for Deep Learning-Based Waterbody Segmentation in Tropical and Semi-Arid Regions, pages 669–677

Silvestri, S.

• AI-Assisted Physical Modeling of Sun Glint to Improve Inter-Sensor Consistency of Remote Sensing Reflectance in Coastal Waters, pages 825–830

Simsek, F. F.

• A Novel Label-Free Approach for Post-Fire Environmental Assessment Based on Zero-Shot Segment Anything Model (SAM), pages 551–556
• Assessing the Temporal Transferability of Random Forest Models for Land Use and Land Cover Change Detection, pages 689–694

Singh, A.

• Monitoring and Mapping of fast and slow subsidence in hard rock metal mining using SAR Interferometry Techniques on high resolution TSX/TDX Satellite Data, pages 529–536

Singh, D.

• Pre-Ignition Forest Fire Risk Prediction Using Multi-Temporal Vegetation Indices and Machine Learning: A Case Study from California, pages 1403–1410

Singh, R. P.

• Snow Persistence Dynamics in the Indian North Western Himalaya (2000– 2024): A MODIS-Based Trend Analysis, pages 853–858

Sioris, C.

• The Arctic Observing Mission (AOM): A high priority candidate mission for the Government of Canada, pages 1465–1470

Sklivanitis, G.

• Integrating Multi-Source Agricultural Data with Machine Learning to Improve Crop Mapping Accuracy: A Case Study of the Navajo Nation, pages 1131–1137

Sneep, M.

• Fast Cloud Property Retrieval from TROPOMI O₂-A Band Observations Using a DISAMAR-Based Neural Network Framework, pages 1487–1492

Soares Leandro, V. B.

• Mapping Perennial Crops in Complex Tropical Landscapes with Harmonized Landsat Sentinel Time Series, pages 1079–1087

Sohn, G.

• Reasoning-guided Ego-path Segmentation for Autonomous Trains using Vision-language Models, pages 89–96

Solbrig, P.

• Multispectral Anomaly Detection: Comparison of sensor bands in conventional and machine learning approaches, pages 431–438

Souveton, D.

• Assessment of automatic hedgerow detection using Pleiades Neo 30cm spatial resolution images and Foundation model, pages 633–641

Sperber, K.

• A robust and transferable AI workflow for segmenting ground-mounted Photovoltaic Systems, pages 265–272

Stammes, P.

• Fast Cloud Property Retrieval from TROPOMI O₂-A Band Observations Using a DISAMAR-Based Neural Network Framework, pages 1487–1492

Steffen, P.

• Casting a Neural Net: Satellite-based Coastline Extraction with Neural Networks across Diverse Coastal Environments in British Columbia, Canada, pages 1089–1095

Steiner, H.

• Machine Learning for Marine Dock Detection Using LiDAR Intensity and Detectron2, pages 273–280

Stemmler, C.

• Integrating MTInSAR and Geoscientific Data for Subsurface Deformation Monitoring in the Epe Cavern Field, Germany, pages 537–543

Stojanović, L.

• Detection of Cropland Abandonment through Multi-Temporal Landsat Data and Spatially Independent Machine Learning Validation, pages 679–688

Strauss, E.

• Comparison of Machine Learning and Physics-Based Approaches for Thermal Infrared Simulation for Urban Digital Twins, pages 395–403
• Multispectral Anomaly Detection: Comparison of sensor bands in conventional and machine learning approaches, pages 431–438

Su, H.

• Characterizing Wildland-Urban Interface Fire Typology and Climate Associations Across California, USA, pages 1411–1417

Sun, Y.

• Dynamic Monitoring and Spatiotemporal Analysis of Soil Erosion in Changting County, Fujian Province from 2005 to 2025, pages 1015–1021

Sunar, F.

• From Global to Station-Centric Models: Improved Chlorophyll-a Prediction in the Gulf of İzmir Using Sentinel-2, pages 213–218
• Urban Expansion, Entropy Dynamics, and Ecological Quality: A District-Based Assessment, pages 557–563

Suomalainen, J.

• Evaluating the Transferability of Machine-Learning Models for Pre-Emergence Bark Beetle Detection Using Multispectral and Hyperspectral UAV Data, pages 1163–1170

da Silva Filho, R. P.

• Pernambuco Waterbody Dataset (PWD): A High-Resolution Multi-Source Dataset for Deep Learning-Based Waterbody Segmentation in Tropical and Semi-Arid Regions, pages 669–677

da Silva, L. D. D. D. J.

• Fluvial Dynamics Changes Driven by Illegal Gold Mining: A Land Use/Land Cover Analysis in the Ecuadorian Amazon, pages 573–580

da Silva, R. C. E.

• Estimating grassland dry mass in forage mixes using UAV imagery and PCR, pages 1073–1078

T

Tabassam, A. A.

• A Comprehensive Framework for Remote Sensing and AI-Driven Real-Time Cotton Health Monitoring and Disease Detection, pages 967–972
• Remote Sensing and AI-Driven Sustainable Cotton Farming for a Resilient Future, pages 1097–1102

Tal-Siegel, N.

• Spectral Unmixing and Design Requirements for a low-cost Crop Residue Cover Mapping Nanosatellite, pages 889–896
• Approaches to Atmospheric Modelling and Multi-source Data Collection and Processing for the FINCH CubeSat, pages 1103–1111

Tan, J.

• Research on Inversion Technology of Empirical Models for Water Chlorophyll Concentration Based on Sentinel-2 Images, pages 1113–1121

Tan, İ.

• From Global to Station-Centric Models: Improved Chlorophyll-a Prediction in the Gulf of İzmir Using Sentinel-2, pages 213–218

Tanaka, Y.

• Assessment Model of the Soil Fertility Potential of Yatsuda Rice Fields Based on Humus Derived Nitrogen Balance Using UAV Hyperspectral Sensor, pages 1067–1072

Tang, D.

• Quality Inspection and Intelligent Fusion Method for Automated Production of Large-Scale Remote Sensing Image Tiles, pages 301–308

Tang, W.

• POD-AM-HAR: Cycle-to-Cycle Forecasting of Land Surface Dynamics in Latent Space, pages 281–286

Tao, P.

• AURORA-Track: Uncertainty-Aware Identity Prediction for Robust Multi-Object Tracking in Satellite Video, pages 379–385

Tapete, D.

• AI-based multi-temporal analysis of urban dynamics using Sentinel-2 data. A case study over Osmaniye, Turkey, pages 1307–1314

Taufflieb, C.

• Estimating the leaf area index of urban trees using terrestrial LiDAR and the PATH method: sensitivity analysis and comparison with optical and direct methods, pages 1123–1129

Tavus, B.

• Leveraging PolSAR Features and Machine Learning for Improved Land Cover Discrimination with ALOS-2 PALSAR-2: A Comprehensive Evaluation over the Istanbul Metropolitan Region, pages 475–480
• Assessing the Temporal Transferability of Random Forest Models for Land Use and Land Cover Change Detection, pages 689–694

Tekavec, J.

• Near Real-Time Flood Mapping from Sentinel Data Using Machine Learning Techniques, pages 797–803

Teuwsen, S.

• Integrating MTInSAR and Geoscientific Data for Subsurface Deformation Monitoring in the Epe Cavern Field, Germany, pages 537–543

Thakur, P. K.

• Snow Persistence Dynamics in the Indian North Western Himalaya (2000– 2024): A MODIS-Based Trend Analysis, pages 853–858

Thangavel, V.

• Integrating Multi-Source Agricultural Data with Machine Learning to Improve Crop Mapping Accuracy: A Case Study of the Navajo Nation, pages 1131–1137

Thiha, K.

• Synthesizing hyperspectral Data using generative Models to train spectral Unmixing Methods for low-cost Crop Residue Cover Mapping, pages 881–888

Thommeret, N.

• Automated 3D extraction of hydromorphological metrics from LiDAR data, pages 831–837

Thottolil, R.

• Comparison of Supervised Classification Algorithms for Land Use Land Cover in Guayaquil: An Assessment with Landsat and MapBiomas, pages 565–572

Tian, Y.

• Impact of Flux Gate Location on Antarctic Mass Balance via Input-Output Method, pages 847–852
• Water Quality Inversion and Spatiotemporal Analysis of Changshu City Based on Multi-source Remote Sensing Data, pages 979–985

Tilly, A.

• Evaluating a modified StarDist Implementation for Individual Tree Detection and Crown Delineation in heterogeneous Landscapes, pages 1139–1146

Tilly, N.

• Evaluating a modified StarDist Implementation for Individual Tree Detection and Crown Delineation in heterogeneous Landscapes, pages 1139–1146

Tilstra, G.

• Fast Cloud Property Retrieval from TROPOMI O₂-A Band Observations Using a DISAMAR-Based Neural Network Framework, pages 1487–1492

Tolpekin, V.

• Automated Monitoring of Geolocation Consistency in Micro-satellite SAR Imagery, pages 1359–1365

Tommaselli, A. M. G.

• Estimating grassland dry mass in forage mixes using UAV imagery and PCR, pages 1073–1078

Tomppo, E.

• Global Coverage of Sentinel-1 and Spaceborne LiDAR: A Data-Driven Foundation for Forest Height Estimation, pages 467–473

Treviño Carreón, J.

• High-resolution LiDAR and thermal UAV data for 3D analysis of urban vegetation structure and its cooling effect in San Nicolás, Mexico, pages 421–429

Tripathi, S.

• Snow Persistence Dynamics in the Indian North Western Himalaya (2000– 2024): A MODIS-Based Trend Analysis, pages 853–858

Trishchenko, A.

• The Arctic Observing Mission (AOM): A high priority candidate mission for the Government of Canada, pages 1465–1470

Tsironis, V.

• An Open-Source Application and a Benchmarking Framework for Sentinel-2 Image Sharpening, pages 449–455
• Mowing Event Temporal Localization on Dense Satellite Time Series Using Foundational Models, pages 1009–1014

Tu, H.

• Techniques and methods of product quality inspection Urban Spatial Monitoring, pages 1373–1378

Tu, S.

• Integrating Multi-Source Temperature Data and Explainable Deep Learning for Urban Microclimate Analysis, pages 439–448
• Mapping and Understanding the Synergy Between Land Surface Temperature and PM₂.₅ at 250 m Resolution in Wuhan: Implications for Climate Adaptation and Air Quality Management, pages 719–728

Tuinder, O.

• Fast Cloud Property Retrieval from TROPOMI O₂-A Band Observations Using a DISAMAR-Based Neural Network Framework, pages 1487–1492

Tullo, A.

• YOLOLens2.0: A Unified Super-Resolution and Detection Framework for High-Fidelity Crater Mapping in Lunar Permanently Shadowed Regions, pages 1239–1248

Tupin, F.

• Super-Resolution of Sentinel-2 Imagery Using Latent Diffusion Models for Photovoltaic Site Assessment, pages 13–17

Turkulainen, E.

• Evaluating the Transferability of Machine-Learning Models for Pre-Emergence Bark Beetle Detection Using Multispectral and Hyperspectral UAV Data, pages 1163–1170

Tymstra, C.

• Advancing Canadian wildfire technology through onboard processing and on the ground collaboration, pages 1387–1393

U

Udoka, U. P.

• Estimating Long-Term Groundwater Storage Change in the Chad Basin, Nigeria, Using GRACE/GRACE-FO and GLDAS Terrestrial Water Storage Anomalies, pages 859–864

Ullo, S. L.

• AI-based multi-temporal analysis of urban dynamics using Sentinel-2 data. A case study over Osmaniye, Turkey, pages 1307–1314

Umar, M. K.

• Monitoring and Mapping of fast and slow subsidence in hard rock metal mining using SAR Interferometry Techniques on high resolution TSX/TDX Satellite Data, pages 529–536

Uroš, M.

• Automatic Estimation of Building Construction Year and Height from Earth Observation Data for Urban Risk Assessment, pages 589–594

Uygun, K. E.

• Spectral Unmixing and Design Requirements for a low-cost Crop Residue Cover Mapping Nanosatellite, pages 889–896
• Approaches to Atmospheric Modelling and Multi-source Data Collection and Processing for the FINCH CubeSat, pages 1103–1111

V

Vaiopoulos, A. D.

• An Open-Source Application and a Benchmarking Framework for Sentinel-2 Image Sharpening, pages 449–455

Varghese, A.

• Reasoning-guided Ego-path Segmentation for Autonomous Trains using Vision-language Models, pages 89–96

Varoquaux, V.

• Assessment of automatic hedgerow detection using Pleiades Neo 30cm spatial resolution images and Foundation model, pages 633–641

Vassileva, M. S.

• Combining UAV SAR Tomography and Photogrammetry to study an Active Volcanic Vent in Iceland, pages 257–263

Vazquez-Rodriguez, D. A.

• Interpolation methodologies comparison for Heat Index Assessment, pages 457–465

Vega-Aguilar, A.

• High-resolution LiDAR and thermal UAV data for 3D analysis of urban vegetation structure and its cooling effect in San Nicolás, Mexico, pages 421–429

Velastegui-Montoya, A.

• High-resolution LiDAR and thermal UAV data for 3D analysis of urban vegetation structure and its cooling effect in San Nicolás, Mexico, pages 421–429
• Comparison of Supervised Classification Algorithms for Land Use Land Cover in Guayaquil: An Assessment with Landsat and MapBiomas, pages 565–572
• Fluvial Dynamics Changes Driven by Illegal Gold Mining: A Land Use/Land Cover Analysis in the Ecuadorian Amazon, pages 573–580
• From Natural Land to Built-Up Areas: Monitoring Residential Expansion Using Sentinel-2 and Support Vector Machine, pages 581–587
• Lights that Extinguish Nature in Protected Forests: A Look at the Impact of Light Pollution, pages 1197–1204
• Spatiotemporal Trends of Extreme Precipitation in Caraguatatuba (SE Brazil) from CHIRPS Data (1981–2024) Using GEE and Climate Indices, pages 1271–1276

Velástegui-Montoya, A.

• Spatial Analysis of Mining Intensity in Buffer Zones of Protected Areas of the Ecuadorian Amazon, pages 995–1002

Vennervirta, E.

• Evaluating the Transferability of Machine-Learning Models for Pre-Emergence Bark Beetle Detection Using Multispectral and Hyperspectral UAV Data, pages 1163–1170

Vergara Sassarini, N. A.

• YOLOLens2.0: A Unified Super-Resolution and Detection Framework for High-Fidelity Crater Mapping in Lunar Permanently Shadowed Regions, pages 1239–1248

Verzeni, A.

• PICANTEO: A Modular Change Detection Framework for Remote Sensing Applications, pages 1291–1300

Vieira, G. S.

• Machine Learning for Recognition and Mapping of Rare Earths in Brazil using Reflectance Spectroscopy and Hyperspectral Imagery, pages 371–378

Vijaywargiya, J.

• An Explainable Climate-Aware Generative and Predictive Modelling Framework for Simulation of “What-if” Plausible Climatic Scenarios across Multiple Crops, pages 1147–1155

Vishwanath Harish, T.

• Impact of Spectral Resolution on SIF Quantification for Explaining Almond Yield Variability, pages 1157–1162

Voogt, J.

• High-Resolution Downscaling of Urban Land Surface Temperature via Machine Learning, pages 405–410

Vyas, A.

• Satellite Image-Based Spatial Analysis of Urban Air Quality Index, pages 773–781

W

Wagner, D.

• Multispectral Anomaly Detection: Comparison of sensor bands in conventional and machine learning approaches, pages 431–438

Walter, T. R.

• Combining UAV SAR Tomography and Photogrammetry to study an Active Volcanic Vent in Iceland, pages 257–263

Wan, Y.

• Spatiotemporal Vegetation Degradation Simulation and Inversion in Inner Mongolia Autonomous Region, pages 695–700

Wang, C.

• Quality Inspection and Intelligent Fusion Method for Automated Production of Large-Scale Remote Sensing Image Tiles, pages 301–308

Wang, D.

• RSCDG: Remote Sensing Change/Damage Image Generator Based on Prior Foundation Model and Multimodal Reference Information, pages 33–39

Wang, G.

• Analysis of Spatiotemporal Changes in Land Cover of Wind Farms within County Areas, pages 625–631
• Evaluating the Transferability of Machine-Learning Models for Pre-Emergence Bark Beetle Detection Using Multispectral and Hyperspectral UAV Data, pages 1163–1170
• Urban Livability Analysis Based on Multi-Source Remote Sensing Data, pages 1191–1196

Wang, H.

• Global Point Source CO₂ Emissions Monitoring Based on Hyperspectral Remote Sensing Imagery, pages 1471–1476

Wang, J.

• Water Quality Inversion and Spatiotemporal Analysis of Changshu City Based on Multi-source Remote Sensing Data, pages 979–985
• Quality Control For Large-Scale Bundle Adjustment Of Planetary Remote Sensing Images, pages 1223–1230
• Quality Control For Large-Scale Bundle Adjustment Of Planetary Remote Sensing Images, pages 1223–1230

Wang, M. Y.

• AURORA-Track: Uncertainty-Aware Identity Prediction for Robust Multi-Object Tracking in Satellite Video, pages 379–385

Wang, N.

• Water Quality Inversion and Spatiotemporal Analysis of Changshu City Based on Multi-source Remote Sensing Data, pages 979–985

Wang, P.

• Fast Cloud Property Retrieval from TROPOMI O₂-A Band Observations Using a DISAMAR-Based Neural Network Framework, pages 1487–1492

Wang, Q.

• Vertical Characterization and Transport Dynamics of UTLS Aerosols over Hubei: A Multiyear Integrated Analysis using CALIOP and MERRA-2, pages 767–772

Wang, S.

• From Urban 3D Imagery to Low-Altitude Flight Risk Perception: A Construction Method for the Low-Altitude Flight Safety Zones of Surveying and Mapping UAVs and Its Application in Shanghai, pages 287–293

Wang, Y.

• Long-term Analysis of Rainfall Variability and Gridded Precipitation Product Performance in Coastal Southeast China, pages 295–300
• Exploring Land Use Mapping with Multimodal Data Fusion and Convolutional Neural Network, pages 595–600
• Quality Control For Large-Scale Bundle Adjustment Of Planetary Remote Sensing Images, pages 1223–1230
• Quality Control For Large-Scale Bundle Adjustment Of Planetary Remote Sensing Images, pages 1223–1230

Wang, Z.

• Quality Inspection and Intelligent Fusion Method for Automated Production of Large-Scale Remote Sensing Image Tiles, pages 301–308
• Multi-Temporal, Multi-Modal UAV and Machine Learning Framework for Early Detection and Mapping of Bacterial Leaf Blight in Rice, pages 1451–1456

Waqar, O.

• An Explainable Climate-Aware Generative and Predictive Modelling Framework for Simulation of “What-if” Plausible Climatic Scenarios across Multiple Crops, pages 1147–1155

Wei, C.-H.

• Using NGRDI index to assist in forest canopy gaps classification of UAV RGB imagery, pages 325–331

Wei, X.

• Reassessing the Reliability of WRF-CMAQ-Based PM_2.5 Prediction from a Generalization Perspective, pages 1477–1485

Wilkinson, S. L.

• Modelling Wildfire Burn Severity in Canadian Megafires, pages 617–624

Williams, S.

• Mapping surface area changes in three reservoirs on the island of Trinidad between 2017 and 2023 using Sentinel-1 SAR imagery, pages 241–247

Wimmer, C.

• Combining UAV SAR Tomography and Photogrammetry to study an Active Volcanic Vent in Iceland, pages 257–263

Wollersheim, M.

• Automated Monitoring of Geolocation Consistency in Micro-satellite SAR Imagery, pages 1359–1365

Wu, B.

• An Online Semantically Rich 3D Information System for Collaborative Exploration of Planetary Surfaces, pages 1215–1222
• Crater Graph-Assisted Bundle Adjustment for Precision Topographic Mapping of Mars, pages 1257–1262

Wu, J.

• Exploring Land Use Mapping with Multimodal Data Fusion and Convolutional Neural Network, pages 595–600

Wu, X.

• Characterizing Wildland-Urban Interface Fire Typology and Climate Associations Across California, USA, pages 1411–1417

X

Xia, X.

• Shallow Water Bathymetry Retrieval in the Guangxi Beibu Gulf, China, Using Optical Remote Sensing and Electronic Nautical Charts, pages 789–795

Xiao, Y.

• Integrating Multi-Source Temperature Data and Explainable Deep Learning for Urban Microclimate Analysis, pages 439–448

Xie, S.

• Comparative Evaluation of Machine Learning Models for Gold Prospectivity Mapping: A Case Study from Labrador, Canada, pages 25–31

Xie, T.

• Fast Cloud Property Retrieval from TROPOMI O₂-A Band Observations Using a DISAMAR-Based Neural Network Framework, pages 1487–1492

Xiong, Y.

• GAN-Based PAN-to-RGB Image Translation for Remote Sensing Data, pages 113–119

Xu, J.

• Quality Control For Large-Scale Bundle Adjustment Of Planetary Remote Sensing Images, pages 1223–1230

Xu, L.

• MCAM: A Multi-scale Cyclic Adaptive Mamba Network for Hyperspectral Image Classification, pages 341–348
• Risk-Aware LLM Agents for Geospatial Data Retrieval: Design and Preliminary Adversarial Evaluation, pages 1419–1426

Xu, L. L.

• Can Satellite-Observed Wildfire Incidents Alone Project Next-Year State Transition? A Case Study in British Columbia, Canada Using a Physics-Regularized Conditional Categorical Generative Model, pages 333–339

Xu, L.-L.

• DINOKey: Transformer-Based Keypoint Detection for Wildlife Monitoring in Aerial Imagery, pages 961–966

Xu, Q.

• Characterizing Wildland-Urban Interface Fire Typology and Climate Associations Across California, USA, pages 1411–1417

Xu, X.

• GAN-Based PAN-to-RGB Image Translation for Remote Sensing Data, pages 113–119

Xu, Z.

• Can Satellite-Observed Wildfire Incidents Alone Project Next-Year State Transition? A Case Study in British Columbia, Canada Using a Physics-Regularized Conditional Categorical Generative Model, pages 333–339

Y

Yamada, S.

• LiDAR vs. SfM: Which is better for analysing habitat of the harvest mouse (Micromys minutus)?, pages 1003–1008

Yan, W. S.

• A Dual-Task Optimization Approach for Digital Elevation Model Correction with Spaceborne LiDAR Data, pages 177–182
• Fusing Satellite Remote Sensing and ARGO Float Data for Enhanced Monitoring of Microplastic Concentrations in the West Pacific (2018–2020), pages 1185–1190

Yang, C.-H.

• Integrating MTInSAR and Geoscientific Data for Subsurface Deformation Monitoring in the Epe Cavern Field, Germany, pages 537–543

Yang, H.

• Spatiotemporal Vegetation Degradation Simulation and Inversion in Inner Mongolia Autonomous Region, pages 695–700

Yang, Y.

• Analysing the Impacts of Natural-Factor Variability on Lake Water Volume Using the Generalized Method of Moment, pages 729–735

Yao, B.

• Road Segmentation from Satellite Imagery Based on an Improved SAM Model, pages 309–315
• Techniques and methods of product quality inspection Urban Spatial Monitoring, pages 1373–1378

Yao, Y.

• Spatiotemporal Vegetation Degradation Simulation and Inversion in Inner Mongolia Autonomous Region, pages 695–700

Yepez-Rincon, F. D.

• Interpolation methodologies comparison for Heat Index Assessment, pages 457–465

Yilmaz, E. O.

• Towards Global Interpretability: Evaluating XAI Metrics in Building Footprint Extraction, pages 317–323

Yin, F.

• Research on Inversion Technology of Empirical Models for Water Chlorophyll Concentration Based on Sentinel-2 Images, pages 1113–1121

Youssefi, D.

• PICANTEO: A Modular Change Detection Framework for Remote Sensing Applications, pages 1291–1300

Yu, J.

• Analysing the Impacts of Natural-Factor Variability on Lake Water Volume Using the Generalized Method of Moment, pages 729–735

Yépez-Rincón, F. D.

• High-resolution LiDAR and thermal UAV data for 3D analysis of urban vegetation structure and its cooling effect in San Nicolás, Mexico, pages 421–429
• Spatial Analysis of Mining Intensity in Buffer Zones of Protected Areas of the Ecuadorian Amazon, pages 995–1002

Z

Zabeo, C.

• Estimation of diurnal hydraulic status of spruce trees using drone-based hyperspectral images and green shoulder indices, pages 1171–1178

Zakaria, N. H.

• Windstorm Hazard Index Development for Malaysia, pages 1339–1348

Zanchettin, C.

• Pernambuco Waterbody Dataset (PWD): A High-Resolution Multi-Source Dataset for Deep Learning-Based Waterbody Segmentation in Tropical and Semi-Arid Regions, pages 669–677

Zapata-Wah, I. G.

• Interpolation methodologies comparison for Heat Index Assessment, pages 457–465

Zarco-Tejada, P. J.

• Impact of Spectral Resolution on SIF Quantification for Explaining Almond Yield Variability, pages 1157–1162

Zhan, C.

• Vertical Characterization and Transport Dynamics of UTLS Aerosols over Hubei: A Multiyear Integrated Analysis using CALIOP and MERRA-2, pages 767–772

Zhan, Q.

• Integrating Multi-Source Temperature Data and Explainable Deep Learning for Urban Microclimate Analysis, pages 439–448
• Mapping and Understanding the Synergy Between Land Surface Temperature and PM₂.₅ at 250 m Resolution in Wuhan: Implications for Climate Adaptation and Air Quality Management, pages 719–728

Zhan, Y.-X.

• Using NGRDI index to assist in forest canopy gaps classification of UAV RGB imagery, pages 325–331

Zhang, B.

• Spatiotemporal Vegetation Degradation Simulation and Inversion in Inner Mongolia Autonomous Region, pages 695–700

Zhang, H.

• RSCDG: Remote Sensing Change/Damage Image Generator Based on Prior Foundation Model and Multimodal Reference Information, pages 33–39
• Quality Inspection and Intelligent Fusion Method for Automated Production of Large-Scale Remote Sensing Image Tiles, pages 301–308
• Refinement of Asteroid Rotation Parameters via Stereo Intersection Angle Optimization and Masked Feature Matching, pages 1249–1255
• Rapid Building Damage Detection from Remote Sensing Images: a Novel Lightweight Network with Contrastive Learning, pages 1301–1306

Zhang, K.

• Comparative Evaluation of Machine Learning Models for Gold Prospectivity Mapping: A Case Study from Labrador, Canada, pages 25–31
• Real-Time Road Condition Detection and Mapping Using YOLOv11 and Built-In Car Dashcam, pages 129–134
• A Comparative Framework for deriving True Tree Crown (TTC) from Pseudo Tree Crown (PTC), pages 135–140

Zhang, Q.

• Automated Monitoring of Geolocation Consistency in Micro-satellite SAR Imagery, pages 1359–1365

Zhang, T.

• Analysis of Spatiotemporal Changes in Land Cover of Wind Farms within County Areas, pages 625–631
• Analysing the Impacts of Natural-Factor Variability on Lake Water Volume Using the Generalized Method of Moment, pages 729–735
• Urban Livability Analysis Based on Multi-Source Remote Sensing Data, pages 1191–1196

Zhang, W.

• Development and Application of an Automated Full-Process Framework for Unauthorized Land-Use Parcel Verification Driven by a UAV Hangar System: A Case Study in Shanghai, China, pages 169–175
• From Urban 3D Imagery to Low-Altitude Flight Risk Perception: A Construction Method for the Low-Altitude Flight Safety Zones of Surveying and Mapping UAVs and Its Application in Shanghai, pages 287–293
• Analysis of Spatiotemporal Changes in Land Cover of Wind Farms within County Areas, pages 625–631
• Aboveground Biomass (AGB) Estimation Using a Transformer Deep Learning Framework with Multi-Temporal Sentinel-1/2 Data and Growth Constraints, pages 1179–1184
• Urban Livability Analysis Based on Multi-Source Remote Sensing Data, pages 1191–1196

Zhang, X.

• Multi-Scenario Prediction of Ecosystem Service Value in Huzhou City Based on the PLUS Model, pages 737–744
• Dynamic Monitoring and Spatiotemporal Analysis of Soil Erosion in Changting County, Fujian Province from 2005 to 2025, pages 1015–1021
• Fast Cloud Property Retrieval from TROPOMI O₂-A Band Observations Using a DISAMAR-Based Neural Network Framework, pages 1487–1492

Zhang, Y.

• Spatiotemporal Vegetation Degradation Simulation and Inversion in Inner Mongolia Autonomous Region, pages 695–700
• Mapping and Understanding the Synergy Between Land Surface Temperature and PM₂.₅ at 250 m Resolution in Wuhan: Implications for Climate Adaptation and Air Quality Management, pages 719–728

Zhang, Y.-J.

• Using NGRDI index to assist in forest canopy gaps classification of UAV RGB imagery, pages 325–331

Zhang, Z.

• POD-AM-HAR: Cycle-to-Cycle Forecasting of Land Surface Dynamics in Latent Space, pages 281–286

Zhao, H.

• Techniques and methods of product quality inspection Urban Spatial Monitoring, pages 1373–1378

Zhao, X.

• Fusion of PlanetScope SuperDove and Orthorectified Aerial Images for Tree-Level Stress Monitoring in Boreal Forests, pages 1443–1450

Zheng, L.

• Urban Livability Analysis Based on Multi-Source Remote Sensing Data, pages 1191–1196

Zheng, X.

• Quality Inspection and Intelligent Fusion Method for Automated Production of Large-Scale Remote Sensing Image Tiles, pages 301–308

Zhong, H.

• Crater Graph-Assisted Bundle Adjustment for Precision Topographic Mapping of Mars, pages 1257–1262

Zhou, G.

• Shallow Water Bathymetry Retrieval in the Guangxi Beibu Gulf, China, Using Optical Remote Sensing and Electronic Nautical Charts, pages 789–795

Zhou, J.

• Road Segmentation from Satellite Imagery Based on an Improved SAM Model, pages 309–315
• Techniques and methods of product quality inspection Urban Spatial Monitoring, pages 1373–1378

Zhou, X.

• Shallow Water Bathymetry Retrieval in the Guangxi Beibu Gulf, China, Using Optical Remote Sensing and Electronic Nautical Charts, pages 789–795

Zhou, Z.

• Research on Inversion Technology of Empirical Models for Water Chlorophyll Concentration Based on Sentinel-2 Images, pages 1113–1121

Zhu, F.

• Comparative Study of Stable Diffusion-Based Super-Resolution Methods for Remote Sensing Imagery, pages 1435–1442

Zhu, Y.

• Can Satellite-Observed Wildfire Incidents Alone Project Next-Year State Transition? A Case Study in British Columbia, Canada Using a Physics-Regularized Conditional Categorical Generative Model, pages 333–339

Ziolkowski, K.

• The Arctic Observing Mission (AOM): A high priority candidate mission for the Government of Canada, pages 1465–1470

Zipperer, R.

• Land Cover Classification of Multi-Source Airborne Data using Conventional and Deep-Learning-Based Unsupervised Domain Adaptation, pages 57–64
• Comparison of Machine Learning and Physics-Based Approaches for Thermal Infrared Simulation for Urban Digital Twins, pages 395–403

Zong, L.

• Multi-Scenario Prediction of Ecosystem Service Value in Huzhou City Based on the PLUS Model, pages 737–744
• Dynamic Monitoring and Spatiotemporal Analysis of Soil Erosion in Changting County, Fujian Province from 2005 to 2025, pages 1015–1021

Zou, Y.

• MCAM: A Multi-scale Cyclic Adaptive Mamba Network for Hyperspectral Image Classification, pages 341–348
• Analysis of Spatiotemporal Changes in Land Cover of Wind Farms within County Areas, pages 625–631
• Urban Livability Analysis Based on Multi-Source Remote Sensing Data, pages 1191–1196

Zouari, M.

• Super-Resolution of Sentinel-2 Imagery Using Latent Diffusion Models for Photovoltaic Site Assessment, pages 13–17

Ś

Ślesiński, J.

• Fusion of AlphaEarth Embeddings and Sentinel-1 Time-Series for Conflict-Related Urban Damage Mapping, pages 1331–1338

Śmiarowski, M.

• Hydromorphological Monitoring and Navigation Assessment on Alluvial River Sections Using Sentinel-2 and Water Gauge Data, pages 839–846

Ş

Şımşek, F. F.

• Leveraging PolSAR Features and Machine Learning for Improved Land Cover Discrimination with ALOS-2 PALSAR-2: A Comprehensive Evaluation over the Istanbul Metropolitan Region, pages 475–480