Themes
Abstract/paper submissions to IGARSS 2026 are solicited under the following Special and General Themes. Additional options will be included after the Community Contributed Themes (CCT) proposals are evaluated. Authors will be able to select the most appropriately related theme(s) from the full list of Special, General, or Community Contributed themes when submitting their abstracts or papers.
IGARSS 2026 Special Themes (SP):
- 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
IGARSS 2026 General Themes:
- The traditional IGARSS themes are grouped into five main general areas:
- AI and Big Data (A): Papers are solicited on novel Artificial Intelligence (AI), Machine Learning (ML) and Big Data methodologies developed for use in analyzing remote sensing data.
- Theory and Techniques (T): Papers are solicited on theory and techniques underlying the use of remote sensing methodologies to extract information about Earth and planetary systems.
- Applications (C, L, M, O, P): Papers are solicited that report results of studies applying remote sensing data analysis methods in Earth and planetary science topics.
- Sensors (S): Papers are solicited that address the hardware and technologies of remote sensing missions, platforms, and instruments.
- Data and Society (D): Papers are solicited that address topics related to the distribution, management, policy, and security of remote sensing data along with papers on the intersection of remote sensing and society.
General Themes with Community Contributed Themes
A: AI and Big Data
- A.1: High Performance Computing in Remote Sensing
Including the following Community Contributed Themes:- CCT.1: Advanced Signal Processing for Geoscience, Remote Sensing, and Future Earth Observations
- CCT.2: GRSS ESI TC / HDCRS WG - Parallel and Innovative Computing Technologies for Earth Observation
- CCT.3: Multimodal Datasets, Evaluation Protocols, and Performance Metrics for Benchmarking Remote Sensing Algorithms
- A.2: Foundation Models in Geoscience
Including the following Community Contributed Themes:- CCT.4: Geo-foundation and generative models for EO-based informed disaster risk response
- CCT.5: Geospatial Reasoning, Graph, and PDE Foundation Models: Advances in Semantic, Topological, and Spatiotemporal Learning
- CCT.6: Multimodal Foundation Models for Earth Observation: Unifying Multi-source Geospatial Data for a Holistic Planet Understanding
- CCT.7: The prospect of Remote Sensing Foundation Models: From Generation to Application
- CCT.8: Vision-Language Models for Remote Sensing: Foundations, Applications, and Challenges
- A.3: Large-scale Machine Learning
Including the following Community Contributed Themes:- CCT.9: Artificial Intelligence (AI)-driven Techniques Aiding Carbon Capture, Utilization, & Storage (CCUS)
- CCT.10: GeoAI for Advanced Mapping and Geospatial Data Analysis: Innovations, Applications, and Challenges
- CCT.11: Machine learning applications in seismic data processing and imaging
- CCT.12: Natural Language Processing Capabilities Utilizing Open Knowledge Meshes (KM/NLP)
- CCT.13: Physics-Informed Machine Learning in Remote Sensing
- CCT.14: Scalable and Efficient Processing of Large-Scale LiDAR Point Clouds
- A.4: Real-time Analytics, On-board Processing and Edge Computing
Including the following Community Contributed Themes: - A.5: IoT in Geoscience and Remote Sensing
- A.6: Digital Twins
Including the following Community Contributed Themes:
- A.1: High Performance Computing in Remote Sensing
T: Theory and Techniques
- T.1: Interferometry: Along and Across
Including the following Community Contributed Themes: - 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
Including the following Community Contributed Themes: - T.9: Image Segmentation
- T.10: 3D Mapping
- T.11: Object Detection and Recognition
- T.12: Classification and Clustering
Including the following Community Contributed Themes: - T.13: Inversion Techniques
- T.14: Change Detection and Temporal Analysis
Including the following Community Contributed Themes: - T.15: Hyperspectral Data Processing and Analysis
- T.16: Unmixing Analysis
- T.17: RFI Detection and Mitigation
Including the following Community Contributed Themes: - T.18: Multimodal Data Fusion
Including the following Community Contributed Themes:- CCT.26: Advances in Multimodal Remote Sensing Images Processing and Their Applications Multiple Areas
- CCT.27: Connecting Earth Observation and Ground-Level Images
- CCT.28: Image Analysis and Data Fusion: The AI Era
- CCT.29: Integrating Satellite Imagery and Text in the era of Remote Sensing Foundation Models
- CCT.30: Multisensor and Multi-modal geospatial data intelligence for Natural Disaster Response
- T.19: Spatio-temporal Data Harmonization
- T.20: Microwave Modeling
Including the following Community Contributed Themes: - T.21: Optical Modeling
- T.22: Polarimetric Modeling
Including the following Community Contributed Themes: - T.23: Modeling for Signals of Opportunity (e.g. GNSS-R)
- T.1: Interferometry: Along and Across
C: Cryosphere
- C.1: Snow Cover
Including the following Community Contributed Themes: - C.2: Ice Sheets and Glaciers
- C.3: Sea Ice
- C.4: Permafrost
Including the following Community Contributed Themes:
- C.1: Snow Cover
L: Land Applications
- L.1: Land Use Applications
Including the following Community Contributed Themes: - L.2: Land Cover Dynamics
Including the following Community Contributed Themes: - L.3: Forest and Vegetation: Application and Modelling
Including the following Community Contributed Themes:- CCT.38: Large-scale forest structure and change mapping with the fusion of radar and lidar/optical sensors
- CCT.39: MULTIFREQUENCY MICROWAVE APPLICATIONS TO SOIL AND VEGETATION : OBSERVATIONS AND MODELING
- CCT.40: Remote sensing for generating robust datasets for forest health assessment and management planning
- L.4: Forest and Vegetation: Biomass and Carbon Cycle
Including the following Community Contributed Themes: - L.5: Agriculture
Including the following Community Contributed Themes: - L.6: Urban and Built Environment
Including the following Community Contributed Themes: - L.7: Land Surveying, Geodesy and Topography
Including the following Community Contributed Themes: - L.8: Soils and Soil Moisture
Including the following Community Contributed Themes: - L.9: Wetlands
Including the following Community Contributed Themes: - L.10: Inland Waters
- L.11: Geology and Geomorphology
Including the following Community Contributed Themes:
- L.1: Land Use Applications
M: Atmosphere Applications
- M.1: Precipitation and Clouds
Including the following Community Contributed Themes: - M.2: Numerical Weather Prediction and Data Assimilation
Including the following Community Contributed Themes:- CCT.51: Exploration and Exploitation of New Earth-Observing Satellite Applications for Weather and Climate Science
- CCT.52: Innovative Sciences and Technologies Developed for Detecting Severe Storms and Their Devastating Impacts on Life and Properties
- CCT.53: Low Earth Orbit (LEO) Satellite Missions and Their Contribution to Earth Science Applications
- M.3: Atmospheric Sounding
- M.4: Aerosols and Atmospheric Chemistry
Including the following Community Contributed Themes: - M.5: Ionospheric Remote Sensing
- M.1: Precipitation and Clouds
O: Oceans
- 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
G: Geosphere
- G.1: Earth System Modeling
P: Remote Sensing of Planetary and other Celestial Bodies
- P.1: Moon
- P.2: Mars
- P.3: Other Celestial Bodies
Including the following Community Contributed Themes:
S: Sensors
- S.1: Spaceborne SAR Missions
Including the following Community Contributed Themes: - S.2: Spaceborne Passive Microwave Missions
Including the following Community Contributed Themes: - S.3: Spaceborne GNSS-R Missions
Including the following Community Contributed Themes: - S.4: Spaceborne Hyperspectral Missions
Including the following Community Contributed Themes:- CCT.60: Advancing global-scale high resolution imaging spectroscopy in preparation for CHIME
- CCT.61: Calibration and Validation of Imaging Spectrometer Measurements and Data Products
- CCT.62: Space-based Imaging Spectrometers: Status of Current and Planned Missions
- CCT.103: New Generation hyperspectral Remote Sensing data to advance remote sensing science with specific emphasis on agriculture, water, and food security
- S.5: Spaceborne LIDAR Missions
Including the following Community Contributed Themes: - S.6: Multi-platform Earth Observation
Including the following Community Contributed Themes:- CCT.64: Advancing Real Time Environmental Monitoring through Multi-Platform Earth Observation and Sensor Integration
- CCT.65: Multi-Instrument Applications for Environmental Monitoring and Sustainability.
- CCT.66: Remote sensing for Oil & Gas Exploration, Production and Environmental Monitoring
- CCT.67: Wildfire and Earth Observation: Remote Sensing for Ecosystem Resilience and Hazard Adaptation with Artificial Intelligence (AI)
- 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
Including the following Community Contributed Themes: - S.14: Scatterometer, Clouds and Rain Radar
- S.15: Microwave Radiometer Instruments
Including the following Community Contributed Themes: - S.16: Ground Penetrating Radar
- S.17: Advanced Future Instrument Concepts
Including the following Community Contributed Themes:
- S.1: Spaceborne SAR Missions
D: Data and Society
- D.1: Data Management Systems and Security
- D.2: Remote Sensing Data and Policy Decisions
Including the following Community Contributed Themes: - D.3: Education and Remote Sensing
- D.4: Standards in Remote Sensing
Including the following Community Contributed Themes: - D.5: Geographic Information Systems
- D.6: Citizen and Open Science
Including the following Community Contributed Themes: - D.7: Risk and Disaster Management (Extreme Weather, Earthquakes, Volcanoes, etc)
Including the following Community Contributed Themes:- CCT.76: Advanced Satellite Remote Sensing and AI-driven Strategies for Multi-hazard Monitoring and Risk Prediction
- CCT.77: Advances in GeoAI systems for Wildfire Monitoring
- CCT.78: Bridging Earth Observations & Risk Analytics at Scale
- CCT.79: Harnessing Geospatial Technology and Machine Learning for Flood Management in Fluvial and Glacierized Catchments
- CCT.80: Humanitarian AI with Earth Observation: Actionable Mapping for Time-Critical Operations
- CCT.81: Leveraging AI, LLMs, and Geospatial Technologies for Rapid and Explainable Post-Disaster Damage Intelligence
- CCT.82: Multi-Sensor Satellite, Ground and Ocean Observing Systems for Ocean Associated Disasters: Damage Assessment and Forecasting
- CCT.83: Polar Lows and Cirrus–Aerosol Interactions: Multi Platform Process Studies Using Simulated HAWC/AOS Data and Ancillary Satellite Imagery
- CCT.84: Remote Sensing and Geospatial Modeling of Wildfire Risk, Detection, and Recovery
- CCT.85: Wildfire Lifecycle Analytics with Multi-Source Geospatial Data
- D.8: Remote Sensing for Food Security
- D.9: Remote Sensing for Sustainable Development
Including the following Community Contributed Themes: - D.10: Remote Sensing for Climate Change Impacts
Including the following Community Contributed Themes:
SP: Special Themes
- SP.1: Geoscience and Remote Sensing in Developing Countries
Including the following Community Contributed Themes: - SP.2: Findable, Accessible, Interoperable, Re-usable, Understandable, Secure, and Trustworthy (FAIRUST) Best Practices
Including the following Community Contributed Themes: - SP.3: Artificial Intelligence Ethics and Governance in Remote Sensing
Including the following Community Contributed Themes: - SP.4: Quantum Technologies for Earth Observation
Including the following Community Contributed Themes: - SP.5: Commercial and Industry-led Remote Sensing
Including the following Community Contributed Themes:
- SP.1: Geoscience and Remote Sensing in Developing Countries