A

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
• 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

Aghababaei, H.

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

Akopian, A.

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

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
• Assessing the Temporal Transferability of Random Forest Models for Land Use and Land Cover Change Detection, pages 689–694

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

Argyriou, N.

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

Augspach, Z.

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

B

Bagheri, M.

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

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

Bello, R. L.

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

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

Bolfe, É. L.

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

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

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

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.

• 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

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

Castro, R. M.

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

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, T. O.

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

Chander, S.

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

Chebab, Y.

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

Chehbouni, 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

Chen, D.

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

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

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.

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

Chi, J.

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

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

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.

• 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. 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

Costa, M.

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

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

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

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

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

Deng, J.

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

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

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

E

Eltner, A.

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

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

F

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

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

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

Fogle, S.

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

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

Furuya, D. E. G.

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

G

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

Gao, E.

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

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

Geng, T.

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

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

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

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.

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

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

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

Günzel, C.

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

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, 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

He, X.

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

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

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

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, 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.

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

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

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

Javed, A.

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

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

K

Kamboj, N.

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

Karantzalos, K.

• 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

Kelp, M.

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

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

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

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

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

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

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

L

Laamrani, 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

Lee, J.

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

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, J.

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

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

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

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.

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

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

Liu, S.

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

Liu, T.

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

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

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, Y.

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

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

Maas, H.-G.

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

Magurano, C.

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

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

Mi, P.

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

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

Miura, N.

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

Monti, R.

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

Moumouris, T.

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

N

Naeijian, R.

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

Nagathihalli Lokesh, B.

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

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

Nechet, K. D. L.

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

Ni, H.

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

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

O

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

P

Padalia, H.

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

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

Patel, M.

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

Pavlov, F.

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

Pehani, P.

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

Penanhoat, A.

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

Pinto, L.

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

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

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

Psalta, A.

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

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

Q

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

R

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

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

Reguzzoni, M.

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

Remmel, T. K.

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

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

Rossi, L.

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

S

Sakamoto, M.

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

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

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

Satoh, T.

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

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

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

Sheng, Q.

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

Shi, X.

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

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

Simsek, F. F.

• Assessing the Temporal Transferability of Random Forest Models for Land Use and Land Cover Change Detection, pages 689–694

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

Steffen, P.

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

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

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

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.

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

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

Tao, P.

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

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

Tian, Y.

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

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

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, 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

Tupin, F.

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

U

Uygun, K. E.

• 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

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

Velástegui-Montoya, A.

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

Vieira, G. S.

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

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

Wan, Y.

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

Wang, D.

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

Wang, J.

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

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, Q.

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

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

Xiong, Y.

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

Xu, L.

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

Xu, L.-L.

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

Xu, X.

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

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

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, 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

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

Zapata-Wah, I. G.

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

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

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

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, T.

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

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

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

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

Zhou, G.

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

Zhou, X.

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

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

Zouari, M.

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

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