Choose up to 3 session topics for your paper. If you have specific community contributed theme identified then please select that specific session in Primary Session Topic.
Explore the list of Community-Contributed Themes here .
[Select a sub-topic]
A.1: High Performance Computing in Remote Sensing
A.2: Foundation Models in Geoscience
A.3: Large-scale Machine Learning
A.4: Real-time Analytics, On-board Processing and Edge Computing
A.5: IoT in Geoscience and Remote Sensing
A.6: Digital Twins
[Select a sub-topic]
T.1: Interferometry: Along and Across
T.2: Differential SAR Interferometry
T.3: Multi-Channel DBF Imaging Techniques
T.4: PolSAR and POlInSAR
T.5: Bistatic and Multistatic SAR
T.6: Tomography
T.7: Sub-surface Sensing
T.8: Feature Extraction and Reduction
T.9: Image Segmentation
T.10: 3D Mapping
T.11: Object Detection and Recognition
T.12: Classification and Clustering
T.13: Inversion Techniques
T.14: Change Detection and Temporal Analysis
T.15: Hyperspectral Data Processing and Analysis
T.16: Unmixing Analysis
T.17: RFI Detection and Mitigation
T.18: Multimodal Data Fusion
T.19: Spatio-temporal Data Harmonization
T.20: Microwave Modeling
T.21: Optical Modeling
T.22: Polarimetric Modeling
T.23: Modeling for Signals of Opportunity (e.g. GNSS-R)
[Select a sub-topic]
C.1: Snow Cover
C.2: Ice Sheets and Glaciers
C.3: Sea Ice
C.4: Permafrost
[Select a sub-topic]
L.1: Land Use Applications
L.2: Land Cover Dynamics
L.3: Forest and Vegetation: Application and Modelling
L.4: Forest and Vegetation: Biomass and Carbon Cycle
L.5: Agriculture
L.6: Urban and Built Environment
L.7: Land Surveying, Geodesy and Topography
L.8: Soils and Soil Moisture
L.9: Wetlands
L.10: Inland Waters
L.11: Geology and Geomorphology
[Select a sub-topic]
M.1: Precipitation and Clouds
M.2: Numerical Weather Prediction and Data Assimilation
M.3: Atmospheric Sounding
M.4: Aerosols and Atmospheric Chemistry
M.5: Ionospheric Remote Sensing
[Select a sub-topic]
O.1: Ocean Biology (Color, coral reefs) and Water Quality
O.2: Ocean Surface Winds and Currents
O.3: Ocean Temperature and Salinity
O.4: Ocean Altimetry
O.5: Coastal Zones
[Select a sub-topic]
G.1: Earth System Modeling
[Select a sub-topic]
P.1: Moon
P.2: Mars
P.3: Other Celestial Bodies
[Select a sub-topic]
S.1: Spaceborne SAR Missions
S.2: Spaceborne Passive Microwave Missions
S.3: Spaceborne GNSS-R Missions
S.4: Spaceborne Hyperspectral Missions
S.5: Spaceborne LIDAR Missions
S.6: Multi-platform Earth Observation
S.7: High Altitude Platforms
S.8: Unmanned Aerial Systems and Payloads
S.9: Ground-based Systems
S.10: Sensors Using Signals of Opportunity (e.g. GNSS-R)
S.11: Lidar Sensors
S.12: Passive Optical Multi- and Hyperspectral Sensors
S.13: SAR Instruments
S.14: Scatterometer, Clouds and Rain Radar
S.15: Microwave Radiometer Instruments
S.16: Ground Penetrating Radar
S.17: Advanced Future Instrument Concepts
[Select a sub-topic]
D.1: Data Management Systems and Security
D.2: Remote Sensing Data and Policy Decisions
D.3: Education and Remote Sensing
D.4: Standards in Remote Sensing
D.5: Geographic Information Systems
D.6: Citizen and Open Science
D.7: Risk and Disaster Management (Extreme Weather, Earthquakes, Volcanoes, etc)
D.8: Remote Sensing for Food Security
D.9: Remote Sensing for Sustainable Development
D.10: Remote Sensing for Climate Change Impacts
[Select a sub-topic]
SP.1: Geoscience and Remote Sensing in the Arctic
SP.2: Monitoring Rapidly Changing and Hazardous Environments with Remote Sensing
SP.3: Agentic AI for Earth Observation
SP.4: Computing Paradigms and Quantum Technologies for Earth Observation
SP.5: Foundation Models and Embeddings for Earth Observation
SP.6: Datasets, Benchmarks, and Evaluation Methodologies for Earth Observation
[Select a sub-topic]
CCT.1 [T.14]: 3D Spatiotemporal Intelligence
CCT.2 [SP.2]: Addressing Hazards and Change using Measurement of Surface Topography and Vegetation Structure
CCT.3 [T.7]: Advanced AI Approaches for Seismic Data Analysis and Imaging
CCT.4 [A.1]: Advanced Signal Processing in Geoscience and Remote Sensing for a Changing Planet
CCT.5 [C.1]: Advancements in Snow Retrievals in Mountain and Polar Regions
CCT.6 [L.8]: Advances in Microwave Remote Sensing of Frozen Ground and Freeze–Thaw Processes
CCT.7 [S.17]: Advances in Radar Systems, Techniques, and Applications for Environmental and Planetary Sensing
CCT.8 [SP.3]: Agentic AI: from Earth Observation to Earth Intelligence
CCT.9 [SP.3]: Agentic and Multimodal Foundation Models for Arctic Earth Observation: Reasoning, Benchmarking, and Trustworthy Autonomy
CCT.10 [A.4]: AI and Robotics for Space Exploration and Autonomous Mission Operations
CCT.11 [L.3]: AI for Forest Monitoring from Plot to Planet
CCT.12 [A.4]: AI in Orbit: Efficient, Adaptive, and Trustworthy Onboard Intelligence for Earth Observation
CCT.13 [S.1]: ALOS Series Missions, Cal/Val, and Applications (Part 2)
CCT.14 [S.1]: ALOS Series Missions, Cal/Val, and Applications (Part I)
CCT.15 [D.7]: Artificial Intelligence for Large-Scale InSAR Time-Series Analysis
CCT.16 [T.8]: Artificial Intelligence for SAR Image and Signal Processing: Is It Mature Enough to Fully and Systematically Replace Classical Methods?
CCT.17 [SP.5]: Beyond Classification: Assessing Geospatial Foundation Models for Continuous Earth Observation Predictions
CCT.18 [S.3]: Bridging Between GNSS-R Missions: Coordination, Combination and Inter-calibration
CCT.19 [S.6]: Bridging Radioglaciology and Cryosphere Satellite Sensing: Spaceborne Observations of Snow and Ice
CCT.20 [C.2]: Bridging Radioglaciology and Cryosphere Satellite Sensing: Advances in Radioglaciology of Global Ice
CCT.21 [S.4]: Calibration and Validation of Imaging Spectrometer Measurements and Data Products
CCT.22 [T.14]: Change Intelligence for a Changing Planet: Multimodal AI for Understanding, Attributing, and Forecasting Earth Surface Change
CCT.23 [T.18]: Connecting Earth Observation and Ground-Level Sensors
CCT.24 [L.11]: Critical mineral remote sensing with advanced multispectral and hyperspectral sensors
CCT.25 [A.4]: Data compression and onboard processing for data reduction
CCT.26 [SP.6]: Data-centric and Trustworthy Earth Intelligence for Operational Reliability and Transferability of Foundation Models
CCT.27 [SP.6]: Data-Centric Learning for Earth Observation Imagery
CCT.28 [D.10]: Earth Observation for Compound Water Risks: Linking Water Quality, Human Exposure, and Climate-Resilient Water Systems
CCT.29 [SP.2]: Earth Observation for Environmental Change, Natural Hazards, and Urban Resilience in Latin America
CCT.30 [SP.2]: Earth Observation for Landslide Risk Management: Multi-Sensor Data, Artificial Intelligence, Vulnerability, Humanitarian Response and Climate Change
CCT.31 [SP.2]: Earth Observation for Water and Environmental Challenges in Arid and Semi-Arid Regions
CCT.32 [L.8]: Earth System Science and Applications Based on NASA Soil Moisture Active Passive (SMAP) Satellite Mission Science Data Products
CCT.33 [T.18]: Environmental monitoring using multi-sensor SAR: the added value of new missions
CCT.34 [S.3]: ESA Scout HydroGNSS GNSS Reflectometry Mission
CCT.35 [S.6]: Exploring the Value of Geostationary Satellite Observations for Earth Science Applications
CCT.36 [SP.3]: From Automation to Discovery: Self-Improving Remote Sensing Agents for Verifiable Earth System Science
CCT.37 [SP.2]: From Pixels to Plumes: Detection, quantification and attribution of greenhouse gases, air pollutants, emissions and air quality metrics.
CCT.38 [SP.2]: From Research to Action Part I: Machine Learning and Remote Sensing Data for Rapid Disaster Response
CCT.39 [SP.2]: From Research to Action Part II: Earth Observation for Operational Crisis and Disaster Management and Response
CCT.40 [T.18]: From Sensors to Hydrologic Intelligence: Remote Sensing, Big Data, AI, and the Water Cycle
CCT.41 [A.2]: Generative AI for Earth Observation: From Models to Real-World Applications
CCT.42 [S.12]: Geometric Calibration/Validation of Optical EO Satellite Products
CCT.43 [D.10]: Geospatial Approaches to Nature-Based Solutions for Climate-Resilient Water Security and Health
CCT.44 [D.10]: Give Earth a Chance: AI Algorithms for Environmental Monitoring
CCT.45 [D.7]: Grounded and Trustworthy Generative AI for Earth Observation-Based Disaster Intelligence
CCT.46 [A.1]: GRSS ESI TC / HDCRS WG – High Performance Computing Technologies for AI in Earth Observation
CCT.47 [S.5]: GRSS IFT TC - "Space Lidar: Missions, Technologies, and Observations - Part 1"
CCT.48 [S.5]: GRSS IFT -TC "Space Lidar: Missions, Technologies, and Observations -Part II"
CCT.49 [SP.4]: GRSS QUEST TC - "Quantum Sensing for Earth Observation - Part 1"
CCT.50 [SP.4]: GRSS QUEST TC "Quantum Sensing for Earth Observation - Part II"
CCT.51 [A.3]: IEEE GRSS Data Fusion Contest 2027
CCT.52 [A.3]: Image Analysis and Data Fusion: The AI Era
CCT.53 [SP.5]: Impact of Natural Languages in Remotely Sensed Image Analysis
CCT.54 [L.10]: Integrated Geospatial Modelling of Water Quality, Water Resources, and Human Health Risks
CCT.55 [S.1]: KOMPSAT-8 and Next-Generation Distributed Multistatic SAR I: System Architecture and Enabling Technologies
CCT.56 [S.1]: KOMPSAT-8 and Next-Generation Distributed Multistatic SAR II: Processing, Interferometry, and Applications
CCT.57 [L.3]: Large-scale forest structure and change mapping with the fusion of radar and lidar/optical sensors
CCT.58 [SP.5]: Learning in low-data regimes
CCT.59 [T.10]: LiDAR and Point Clouds for Monitoring Built and Natural Environments
CCT.60 [M.2]: Low Earth Orbit (LEO) Satellite Missions and Their Contribution to Earth Science
CCT.61 [T.20]: Microwave-based water monitoring: modeling, techniques and applications
CCT.62 [T.20]: Modeling in Radar Remote Sensing
CCT.63 [L.3]: MULTIFREQUENCY MICROWAVE OBSERVATIONS OF SOIL AND VEGETATION: NEW MISSIONS, MODELS, AND PHYSICS-AWARE AI
CCT.64 [D.8]: Multi-frequency remote sensing of high-resolution soil and vegetation water content: from product development to impact on applications
CCT.65 [S.6]: Multi-Interface Greenhouse Gas Monitoring from Atmosphere to Subsurface
CCT.66 [SP.3]: Multimodal GeoAgents: From Cross-Sensor Perception to Grounded Geospatial Reasoning
CCT.67 [L.6]: Multimodal GeoAI for Urban Understanding
CCT.68 [T.18]: Multisensor and Multi-modal Geospatial Data Intelligence for
Natural Disaster Response
CCT.69 [T.18]: Multisensor Image Fusion and Its Quality Assessment – In Memoriam Prof. Luciano Alparone
CCT.70 [S.8]: New Measurement Principles for UAV Payloads: Quantitative Sensing of Physical and Chemical Parameters
CCT.71 [T.10]: New-Generation Very-High-Resolution Sensors for Advanced 3D Earth Observation: Challenges, Innovations, and Applications
CCT.72 [D.2]: Next-Generation EO for Civil Security: Integrating Emerging Technologies into Operational GEOINT
CCT.73 [D.9]: Nighttime Remote Sensing for Earth Action in a Changing World
CCT.74 [S.15]: Observations and outcomes of the Advanced Microwave Scanning Radiometer (AMSR) series
CCT.75 [O.2]: Ocean Surface Currents from Space: SAR Doppler, SWOT Synergy, and Extreme-Weather Dynamics
CCT.76 [SP.5]: Physics-Grounded Representation and Prediction of Earth Surface States
Scope and Motivation
CCT.77 [A.3]: Physics-Informed Machine Learning in Remote Sensing
CCT.78 [T.17]: Radio Frequency Interference (RFI) and Spectrum Management issues in Microwave Remote Sensing
CCT.79 [D.9]: REACT for Sustainable Development Goals (SDGs)
CCT.80 [D.7]: Remote Sensing and Geospatial Modeling of Wildfire Risk, Detection, and Recovery
CCT.81 [O.5]: Remote Sensing for Coastal Sustainability
CCT.82 [S.6]: Remote sensing for Oil & Gas Exploration, Production and Environmental Monitoring
CCT.83 [L.2]: Remote Sensing of Forest Evapotranspiration: Canopy Structure, Plant Physiology, and Water Dynamics
CCT.84 [D.4]: Remote Sensing Standards for a Changing Planet
CCT.85 [D.3]: Responsible AI for Earth Observation: Building Trustworthy, Transparent, and Ethical Pathways for the Future
CCT.86 [S.15]: RFI Detection and Mitigation for Ultra-Wideband/Hyperspectral Microwave Radiometry for EO scientific applications.
CCT.87 [D.10]: Road to the Launch of the Copernicus Imaging Microwave Radiometer (CIMR)
CCT.88 [D.6]: ROCX: Community Data Collections, Ground Experiments, Open Data, and the 2027 Field Campaign
CCT.89 [SP.2]: SAR Monitoring of Hazards on Marine Coastal Environments
CCT.90 [SP.2]: Satellite Monitoring of Ground, Snow, and Glacier Deformation Associated with Natural Hazards
CCT.91 [T.20]: Scattering and Emission from Random Media and Rough Surfaces: In honor of Prof. Leung Tsang
CCT.92 [S.1]: Small Satellites, Significant Science: High-Resolution, High-Revisit Constellation, and Emerging Analytics from SmallSats
CCT.93 [D.9]: Space missions on the thermal infrared radiometry of the Earth at high spatio-temporal resolution
CCT.94 [S.4]: Space-based Imaging Spectrometers: Status of Current and Planned Missions
CCT.95 [A.6]: Supporting the Planet’s Future: Global Progress, Interoperability, and Standards in Digital Twins of the Earth and Ocean
CCT.96 [L.10]: The Surface Water and Ocean Topography Mission: New Frontiers in Hydrology
CCT.97 [SP.4]: Toward Quantum Utility in Earth Observation: Foundations, Algorithms, and Benchmarking
CCT.98 [S.8]: UAV SAR and Geoscience
CCT.99 [S.13]: UAV/mobile-mapping SAR systems, methods, and applications
CCT.100 [L.6]: Urban Geographic Scene Understanding and Representation
CCT.101 [D.7]: UrbanRISE: From Observing Disasters to Understanding Urban Resilience
CCT.102 [D.7]: Wildfire Across Scales: Geospatial Observation, Modeling, and Management
Primary Session Topic:
[Select a primary topic]
A: AI and Big Data
T: Theory and Techniques
C: Cryosphere
L: Land Applications
M: Atmosphere Applications
O: Oceans
G: Geosphere
P: Remote Sensing of Planetary and other Celestial Bodies
S: Sensors
D: Data and Society
SP: Special Themes
CCT: Community Contributed Themes
Secondary Topic (optional):
[Select a secondary topic]
A: AI and Big Data
T: Theory and Techniques
C: Cryosphere
L: Land Applications
M: Atmosphere Applications
O: Oceans
G: Geosphere
P: Remote Sensing of Planetary and other Celestial Bodies
S: Sensors
D: Data and Society
SP: Special Themes
CCT: Community Contributed Themes
Tertiary Topic (optional):
[Select a tertiary topic]
A: AI and Big Data
T: Theory and Techniques
C: Cryosphere
L: Land Applications
M: Atmosphere Applications
O: Oceans
G: Geosphere
P: Remote Sensing of Planetary and other Celestial Bodies
S: Sensors
D: Data and Society
SP: Special Themes
CCT: Community Contributed Themes