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 Developing Countries
SP.2: Findable, Accessible, Interoperable, Re-usable, Understandable, Secure, and Trustworthy (FAIRUST) Best Practices
SP.3: Artificial Intelligence Ethics and Governance in Remote Sensing
SP.4: Quantum Technologies for Earth Observation
SP.5: Commercial and Industry-led Remote Sensing
[Select a sub-topic]
CCT.1 [A.1]: Advanced Signal Processing for Geoscience, Remote Sensing, and Future Earth Observations
CCT.2 [A.1]: GRSS ESI TC / HDCRS WG - Parallel and Innovative Computing Technologies for Earth Observation
CCT.3 [A.1]: Multimodal Datasets, Evaluation Protocols, and Performance Metrics for Benchmarking Remote Sensing Algorithms
CCT.4 [A.2]: Geo-foundation and generative models for EO-based informed disaster risk response
CCT.5 [A.2]: Geospatial Reasoning, Graph, and PDE Foundation Models: Advances in Semantic, Topological, and Spatiotemporal Learning
CCT.6 [A.2]: Multimodal Foundation Models for Earth Observation: Unifying Multi-source Geospatial Data for a Holistic Planet Understanding
CCT.7 [A.2]: The prospect of Remote Sensing Foundation Models: From Generation to Application
CCT.8 [A.2]: Vision-Language Models for Remote Sensing: Foundations, Applications, and Challenges
CCT.9 [A.3]: Artificial Intelligence (AI)-driven Techniques Aiding Carbon Capture, Utilization, & Storage (CCUS)
CCT.10 [A.3]: GeoAI for Advanced Mapping and Geospatial Data Analysis: Innovations, Applications, and Challenges
CCT.11 [A.3]: Machine learning applications in seismic data processing and imaging
CCT.12 [A.3]: Natural Language Processing Capabilities Utilizing Open Knowledge Meshes (KM/NLP)
CCT.13 [A.3]: Physics-Informed Machine Learning in Remote Sensing
CCT.14 [A.3]: Scalable and Efficient Processing of Large-Scale LiDAR Point Clouds
CCT.15 [A.4]: Onboard Deep Learning for Hyperspectral Imaging: Methods, Missions, and Hardware
CCT.16 [A.6]: Advanced Modeling Technologies for Digital Twins
CCT.17 [A.6]: GeoAI and Digital Twin Technologies for Remote Sensing Applications
CCT.18 [A.6]: Synthetic Data for Earth Observation: Bridging the Data Gap to Empower Next-Generation Remote Sensing Applications
CCT.19 [T.1]: AI InSAR
CCT.20 [T.1]: Model/data-driven phase unwrapping methods
CCT.21 [T.8]: Resolution Enhancement across sensing dimensions: Spatial, Spectral, Temporal, and Radiometric
CCT.22 [T.12]: Application-Oriented Remote Sensing Image Analysis Tasks
CCT.23 [T.14]: Decoding Urban Climate: Remote Sensing Insights into Energy Balance and Atmosphere
CCT.24 [T.17]: Approaches and Methodologies for the Detection, Characterizing, and Mitigation of Passive Sensor Data Corrupting Emissions (DMiPS)
CCT.25 [T.17]: Radio Frequency Interference and Spectrum Management Issues in Microwave Remote Sensing
CCT.26 [T.18]: Advances in Multimodal Remote Sensing Images Processing and Their Applications Multiple Areas
CCT.27 [T.18]: Connecting Earth Observation and Ground-Level Images
CCT.28 [T.18]: Image Analysis and Data Fusion: The AI Era
CCT.29 [T.18]: Integrating Satellite Imagery and Text in the era of Remote Sensing Foundation Models
CCT.30 [T.18]: Multisensor and Multi-modal geospatial data intelligence for Natural Disaster Response
CCT.31 [T.20]: Microwave-based water monitoring: modeling, techniques and applications
CCT.32 [T.20]: Modeling in Radar Remote Sensing
CCT.33 [T.22]: Compact and Dual Polarimetry SAR for Enhanced Coverage and Intelligent Monitoring
CCT.34 [C.1]: Microwave Remote Sensing of Snow
CCT.35 [C.4]: Advancing Permafrost/Cryosphere Remote Sensing
CCT.36 [L.1]: Remote sensing analysis in graphical and other transformed domain
CCT.37 [L.2]: Remote sensing of hot deserts and desertification
CCT.38 [L.3]: Large-scale forest structure and change mapping with the fusion of radar and lidar/optical sensors
CCT.39 [L.3]: MULTIFREQUENCY MICROWAVE APPLICATIONS TO SOIL AND VEGETATION : OBSERVATIONS AND MODELING
CCT.40 [L.3]: Remote sensing for generating robust datasets for forest health assessment and management planning
CCT.41 [L.4]: Characterize Forest Carbon Density Dynamics using 3D Remote Sensing Technology
CCT.42 [L.6]: Monitoring Global Urban Areas from Space
CCT.43 [L.6]: Morphologies of Change: Remote Sensing Urban Transformation
CCT.44 [L.7]: Measuring Bare Earth Surface Topography and Vegetation Structure with a Multi-Modal Observing System Approach
CCT.45 [L.8]: Earth System Science and Applications Based on a Decade of NASA Soil Moisture Active Passive (SMAP) Satellite Mission Science Data Products
CCT.46 [L.8]: Soil Moisture: Ground to Space
CCT.47 [L.9]: Remote sensing for wetland sustainability
CCT.48 [L.11]: Critical mineral remote sensing with advanced multispectral and hyperspectral sensors
CCT.49 [M.1]: Artificial intelligence for active and passive remote sensing of precipitation
CCT.50 [M.1]: Polarimetric Weather Radars — Tribute to Prof. V. N. Bringi
CCT.51 [M.2]: Exploration and Exploitation of New Earth-Observing Satellite Applications for Weather and Climate Science
CCT.52 [M.2]: Innovative Sciences and Technologies Developed for Detecting Severe Storms and Their Devastating Impacts on Life and Properties
CCT.53 [M.2]: Low Earth Orbit (LEO) Satellite Missions and Their Contribution to Earth Science Applications
CCT.54 [M.4]: RS of Aerosols and Radiative Impacts
CCT.55 [P.3]: Ground Penetrating and Sounder radars for planetary exploration
CCT.56 [S.1]: ALOS Series Missions, Cal/Val, and Applications (Part 1)
CCT.57 [S.1]: BIOMASS: Results, Methods, and Lessons Learned One Year After Launch
CCT.58 [S.2]: WSF-M Mission Status and Calibration I
CCT.59 [S.3]: The CYGNSS Mission
CCT.60 [S.4]: Advancing global-scale high resolution imaging spectroscopy in preparation for CHIME
CCT.61 [S.4]: Calibration and Validation of Imaging Spectrometer Measurements and Data Products
CCT.62 [S.4]: Space-based Imaging Spectrometers: Status of Current and Planned Missions
CCT.63 [S.5]: Space Lidar: Missions, Technologies, and Observations
CCT.64 [S.6]: Advancing Real Time Environmental Monitoring through Multi-Platform Earth Observation and Sensor Integration
CCT.65 [S.6]: Multi-Instrument Applications for Environmental Monitoring and Sustainability.
CCT.66 [S.6]: Remote sensing for Oil & Gas Exploration, Production and Environmental Monitoring
CCT.67 [S.6]: Wildfire and Earth Observation: Remote Sensing for Ecosystem Resilience and Hazard Adaptation with Artificial Intelligence (AI)
CCT.68 [S.13]: UAV/mobile-mapping SAR systems, methods, and applications
CCT.69 [S.15]: Evaluating Microwave hyper-spectral remote sensing capabilities (HyMS)
CCT.70 [S.15]: Observations and outcomes of the Advanced Microwave Scanning Radiometer (AMSR) series
CCT.71 [S.17]: Advances in Radar Systems, Techniques, and Applications for Environmental and Planetary Sensing
CCT.72 [S.17]: Innovations and New Methods in Remote Sensing Instrument Design and Calibration
CCT.73 [D.2]: Earth Observation for Civil Security
CCT.74 [D.4]: Remote Sensing Standards for a Dynamic Earth
CCT.75 [D.6]: ROCX 2025: Data Collections, Ground Experiments, and Early Results
CCT.76 [D.7]: Advanced Satellite Remote Sensing and AI-driven Strategies for Multi-hazard Monitoring and Risk Prediction
CCT.77 [D.7]: Advances in GeoAI systems for Wildfire Monitoring
CCT.78 [D.7]: Bridging Earth Observations & Risk Analytics at Scale
CCT.79 [D.7]: Harnessing Geospatial Technology and Machine Learning for Flood Management in Fluvial and Glacierized Catchments
CCT.80 [D.7]: Humanitarian AI with Earth Observation: Actionable Mapping for Time-Critical Operations
CCT.81 [D.7]: Leveraging AI, LLMs, and Geospatial Technologies for Rapid and Explainable Post-Disaster Damage Intelligence
CCT.82 [D.7]: Multi-Sensor Satellite, Ground and Ocean Observing Systems for Ocean Associated Disasters: Damage Assessment and Forecasting
CCT.83 [D.7]: Polar Lows and Cirrus–Aerosol Interactions: Multi Platform Process Studies Using Simulated HAWC/AOS Data and Ancillary Satellite Imagery
CCT.84 [D.7]: Remote Sensing and Geospatial Modeling of Wildfire Risk, Detection, and Recovery
CCT.85 [D.7]: Wildfire Lifecycle Analytics with Multi-Source Geospatial Data
CCT.86 [D.9]: Nighttime Remote Sensing for Sustainable Development Goals
CCT.87 [D.9]: REACT for Sustainable Development Goals (SDGs)
CCT.88 [D.9]: Remote sensing for coastal sustainability
CCT.89 [D.9]: Resilience Analytics with geospatial data
CCT.90 [D.10]: Leveraging Earth Observation for Resilient and Sustainable Futures
CCT.91 [SP.1]: Earth Observation in Latin America: Regional Efforts, Challenges, and Innovations
CCT.92 [SP.2]: Explainable Artificial Intelligence for Big Data and Scientific Discovery
CCT.93 [SP.2]: Synthetic Remote Sensing Image Synthesis, Quality and Deepfake Detection
CCT.94 [SP.3]: Datasets, Benchmarks and Standards for Scalable, Data-centric and Trustworthy Earth Observation AI
CCT.95 [SP.3]: Responsible AI for Earth Observation: Building Trustworthy, Transparent, and Ethical Pathways for the Future
CCT.96 [SP.4]: Harnessing Quantum Technologies for Earth Observation and Scientific Discovery
CCT.97 [SP.4]: Hybrid Quantum-Classical Computing for Earth Observation
CCT.98 [SP.4]: Quantum Sensing for Earth Observation
CCT.99 [SP.5]: From Demo to Dependable: Operating Commercial Small-Sat X-Band SAR Constellations at Scale and Into the Next Decade
CCT.100 [SP.5]: Making Research Easier with the Cloud in an Era of Big Data
CCT.101 [SP.5]: Measuring the Atmospheric Wind Profile
CCT.102 [L.5]: Global Food-and-Water Security-support Analysis Datasets at 10-30m resolution using Remote Sensing Embedded Data and AI models on the Cloud
CCT.103 [S.4]: New Generation hyperspectral Remote Sensing data to advance remote sensing science with specific emphasis on agriculture, water, and food security
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