Themes
IGARSS 2025 Special Scientific Themes
SP: Special Scientific Themes
- SP.1: Natural disasters and disaster management
- SP.2: Geoscience and remote sensing in developing countries
- SP.3: Remote sensing for sustainable development in the Asia-Pacific region
- SP.4: Remote sensing for barrier reef conservation
- SP.5: Global warming, climate records and climate change analysis
- SP.6: Data security in remote sensing
- SP.7: Al for on-board satellite analytics
- SP.8: GIS development and remote sensing
- SP.9: Wave propagation and remote sensing
General Themes
T/S: SAR Imaging and Processing Techniques
- T/S.1: Interferometry: Along and Across
- T/S.2: Differential SAR Interferometry
- T/S.3: Multi-Channel DBF Imaging Techniques
- T/S.4: PolSAR and PolInSAR
- T/S.5: Bistatic SAR
- T/S.6: Tomography
- T/S.7: Sub-surface sensing
T/D: Data Analysis
- T/D.8: Feature Extraction and Reduction
- T/D.9: Image Segmentation
- T/D.10: 3D mapping
- T/D.11: Object Detection and Recognition
- T/D.12: Classification and Clustering
- T/D.13: Inversion Techniques
- T/D.14: Change Detection and Temporal Analysis
- T/D.15: Hyperspectral Data Processing and Analysis
- T/D.16: RFI Detection and Mitigation
- T/D.17: Data Fusion
- T/D.18: External Calibration
T/A: AI and Big Data
- T/A.19: Data Management Systems and Computing Platforms in Remote Sensing
- T/A.20: IoT in Geoscience and Remote Sensing
- T/A.21: Spatio-temporal Data Harmonization
- T/A.22: Data Analytics and AI Techniques in Remote Sensing
T/M: Modeling
- T/M.23: Electromagnetic Modeling
- T/M.24: EM Emission Modeling
- T/M.25: EM Scattering Modeling
- T/M.26: EM Polarimetric Scattering and Emission Modeling
- T/M.27: EM Modeling for Signals of Opportunity (e.g. GNSS-R)
C: Cryosphere
- C.1: Snow Cover
- C.2: Ice Sheets and Glaciers
- C.3: Sea Ice
- C.4: Permafrost
L: Land Applications
- 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: Topography, Geology and Geomorphology
- L.8: Soils and Soil Moisture
- L.9: Wetlands
- L.10: Inland Waters
- L.11: Geology and Geomorphology
M: Atmosphere Applications
- 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
O: Oceans
- O.1: Ocean Biology (Color) and Water Quality
- O.2: Ocean Surface Winds and Currents
- O.3: Ocean Temperature and Salinity
- O.4: Coastal Zones
- O.5: Ocean Altimetry
P: Remote Sensing of Planetary and other Celestial Bodies
- P.1: Moon
- P.2: Mars
- P.3: Other Celestial Bodies
- P.4: Moons
- P.5: Planets
S/M: Mission, Sensors and Calibration
- S/M.1: Spaceborne SAR Missions
- S/M.2: Spaceborne Passive Microwave Missions
- S/M.3: Spaceborne GNSS-R Missions
- S/M.4: Spaceborne Hyperspectral Missions
- S/M.5: Spaceborne LIDAR Missions
- S/M.6: Exploration Missions (other Planets)
- S/M.7: New Space Missions
- S/M.8: UAV and Airborne Platforms
- S/M.9: Ground based Systems
- S/M.10: High Altitude Platforms
S/I: Sensors, Instruments and Calibration
- S/I.11: Sensors Using Signals of Opportunity (e.g. GNSS-R)
- S/I.12: Lidar Sensors
- S/I.13: Passive Optical Multi- and Hyperspectral Sensors and Calibration
- S/I.14: SAR Instrument
- S/I.15: Advanced Future Instrument Concepts
- S/I.16: Microwave Radiometer Calibration
- S/I.17: SAR and Radar Instrument Calibration
- S/I.18: Microwave Radiometer Instruments
- S/I.19: Ground Penetrating Radar
- S/I.20: Onboard Signal Processing
- S/I.21: Scatterometer, Clouds and Rain Radar
D/E: Education and Policy
- D/E.1: Data Management and Systems
- D/E.2: Remote Sensing Data and Policy Decisions
- D/E.3: Education and Remote Sensing
D/S: Societal Engagement and Impacts
- D/S.4: Citizen and Open Science
- D/S.5: Risk and Disaster Management (Extreme Weather, Earthquakes, Volcanoes, etc)
- D/S.6: Food security
- D/S.7: Remote Sensing for Sustainable Development
- D/S.8: Standardization in Remote Sensing
- D/S.9: Remote Sensing for Climate Change Impacts
Community-Contributed Sessions
CCS: Community-Contributed Sessions
- CCS.1: International Standards for LCLU and SDG Reporting
- CCS.2: Emerging Technologies for Microwave Radiometers
- CCS.3: Polarimetric SAR Methods and Applications
- CCS.4: Satellite RS for Coastal Hazard Monitoring and Risk Prediction
- CCS.5: Signal Processing for Geoscience and RS Applications
- CCS.6: Forest Height Inversion Using Microwave RS
- CCS.7: DL for SAR RS Applications
- CCS.8: Advances in Hydrology using Topography Mission
- CCS.9: Hyperspectral RS for Agriculture, Forestry, and Wetlands
- CCS.10: Image Analysis and Data Fusion for SDGs
- CCS.11: Advances in ML for Agricultural LULC
- CCS.12: RS and AI for Weather and Aerosols
- CCS.13: Multimodal RS Image Processing and Interpretation
- CCS.14: RPAS for Data Collection, Processing and Analysis
- CCS.15: Advances in SAR Image Quality Metrics
- CCS.16: Crop Yield Estimation with EO
- CCS.17: Advances on Polarimetric GNSS-R
- CCS.18: Monitoring Climate Change Impacts on Vegetation
- CCS.19: AI and Hyperspectral Data Analytics
- CCS.20: ALOS Series Mission, Cal/Val, and Applications
- CCS.21: Hyperspectral Data for Critical Metal Exploration
- CCS.22: RS for Urban Climate and Sustainability
- CCS.23: Applications of Very High Resolution X-Band SAR data
- CCS.24: AI for Soil Health
- CCS.25: NASA’s ICESat-2 Spaceborne Lidar Mission
- CCS.26: Space-Based Imaging Spectrometer Cal/Val
- CCS.27: FAIR RS Data Systems
- CCS.28: Challenges and Opportunities for Polar EO
- CCS.29: Ocean RS for Sustainable Development
- CCS.30: Close-range Sensing of Environment
- CCS.31: RS Data Assimilation
- CCS.32: Data-centric AI for Geospatial Applications
- CCS.33: RS Datasets and Benchmarking for Damaged Bulding Detection
- CCS.34: Datasets and evaluation for RS algorithms
- CCS.35: Deep Learning and RS for Rapid Disaster Response
- CCS.36: Deep Learning for Multi-channel SAR processing
- CCS.37: RS for Detecting and Tracking Marine Animals
- CCS.38: Disaster RS Algorithms and Applications
- CCS.39: Distributed SAR Systems, Algorithms, and Applications
- CCS.40: RS-based Decision Support Systems for Disaster Management
- CCS.41: RS for Sustainable Water Resources & Terrestrial Ecosystems
- CCS.42: Earth Observation Foundation Models
- CCS.43: EO Equitable Workforce for Climate Change
- CCS.44: SMAP Applications in Earth System Science
- CCS.45: Crop Growth Models and RS
- CCS.46: Enhancing Safety and Security through EO
- CCS.47: Enhancing the Interpretation of Complex Earth Materials
- CCS.48: EO Data Cubes
- CCS.49: New Satellite Applications for Weather and Climate Science
- CCS.50: Foundation Models for Geospatial AI
- CCS.51: RS of Aerosols and Radiative Impacts
- CCS.52: GeoAI and EO for Emergecy Response
- CCS.53: AI Algorithms for Environmental Monitoring
- CCS.54: Google Earth Engine
- CCS.55: Ground Validation of Optical EO
- CCS.56: Hybrid Quantum-Classical Computing for Earth Observation
- CCS.57: Parallel and Efficient Computing for RS
- CCS.58: RS and High-end Computing for LULC Mapping
- CCS.59: SAR for HiRes Tropical Cyclone Wind Vectors
- CCS.60: The Role of AI in Unveiling Climate Change Patterns
- CCS.61: Hyperspectral Geoscience Mapping in Developing Countries.
- CCS.62: IEEE GRSS Data Fusion Contest
- CCS.63: Image Analysis and Data Fusion: The AI Era
- CCS.64: Imaging Spectroscopy for Defense and Intelligence
- CCS.65: AI and RS for Wildfires and Environmental Impacts
- CCS.66: Innovations in RS Instrument Design and Calibration
- CCS.67: RS and AI for Severe Storms and Impacts
- CCS.68: Monitoring Disasters from Cyclones/Typhoons/Hurricanes
- CCS.69: Multisensor Fusion for Forest Mapping
- CCS.70: LiDAR for Sustainable Development Goals
- CCS.71: LEO satellite missions for Earth Science
- CCS.72: Microwave Radiometry Calibration
- CCS.73: Hyperspectral Data for Mining Sites
- CCS.74: ML and AI-Based Noise Reduction and Image Enhancement
- CCS.75: Modeling in GNSS-R and Other Signal-of-opportunity Systems
- CCS.76: Monitoring Natural Hazards Associated with Snow/Glacier Lakes
- CCS.77: Moving Target Indication Using SAR
- CCS.78: Multifrequency Microwave RS of Soil & Vegetation
- CCS.79: Multisensor Data Fusion and Geospatial Data Intelligence
- CCS.80: Multisource RS for Agricultural Applications
- CCS.81: Mapping Earth’s Surface and Vegetation Structure
- CCS.82: Satellite RS for Geohazard Monitoring
- CCS.83: New Observations and Applications of Multidimensional SAR
- CCS.84: New Satellite Laser Data for Terrain Modeling
- CCS.85: Nighttime RS for SDGs
- CCS.86: Applications of Earth Observations in the Pacific
- CCS.87: Physical Modeling in Microwave and Optical RS
- CCS.88: Physics Aware AI for SAR Data
- CCS.89: Physics-Informed Machine Learning in Remote Sensing
- CCS.90: Planetary Mission Laws Challenges Future Scope
- CCS.91: CIMR Preparations
- CCS.92: Probabilistic ML for EO
- CCS.93: Quantum Sensing: Revolutionizing Earth Remote Sensing
- CCS.94: Quantum Technology for RS
- CCS.95: RFI and Spectrum Issues in Microwave RS
- CCS.96: RS for Damage Detection After Natural Hazards
- CCS.97: Remote Detection of Invasive Weed Species
- CCS.98: RS Data Quality Assessment
- CCS.99: RS for Coastal Sustainability
- CCS.100: Remote Sensing for Oil & Gas
- CCS.101: RS for Digital Twins
- CCS.102: RS for Wetland Sustainability
- CCS.103: RS of Ocean Processes
- CCS.104: RS of Cryosphere from Altimeters
- CCS.105: RS of Potential Fields
- CCS.106: RS for SDGs and Climate Impacts
- CCS.107: SAR Image Restoration and Deep Learning
- CCS.108: SAR Interferometry for Assessing Land Surface Deformation
- CCS.109: SAR Monitoring of Hazards on Coastal Environments
- CCS.110: Satellite Gravimetry/GNSS for Water Resources across Canada
- CCS.111: Satellite RS for Disaster Response
- CCS.112: Earth Observation for Rice
- CCS.113: Space Lidar: Missions, Technologies, and Observations
- CCS.114: Space Missions on High Resolution TIR Radiometry
- CCS.115: Space-based Imaging Spectrometers Missions
- CCS.116: Spaceborne Bistatic SAR
- CCS.117: Fusion of VSWIR Hyperspectral and TIR data
- CCS.118: Technologies for Future Satellite Missions.
- CCS.119: CubeSat and SmallSat missions: Validation and Observations
- CCS.120: Terrestrial Radar/SAR Systems and Applications
- CCS.121: New Developments in Real Time RS
- CCS.122: The Future of Analysis Ready Data
- CCS.123: The NISAR Mission: Status and Early Science
- CCS.124: The Prospect of RS Foundation Models
- CCS.125: TIR RS for Global Climate Change Analysis
- CCS.126: Thermal IR RS: Techniques and Applications
- CCS.127: Meta-constellation GNSS/SoOp reflectometry
- CCS.128: Trends in Standardization for RS Data
- CCS.129: UAV/Mobile-Mapping SAR Systems and Applications
- CCS.130: UAV-based Multi-sensor Identification and Mapping
- CCS.131: Potential of HAPs for Earth Observation
- CCS.132: WSF-M Mission Status and Calibration
- CCS.133: AI InSAR