Themes

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
  • 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: Polarimetric SAR Advanced Methods for optimum information extraction
    • CCS.2: DL paradigm for SAR Image Restoration: current methodologies and future trends
    • CCS.3: Representation learning in remote sensing
    • CCS.4: 3D mapping with remote sensing data for Digital Twins, disaster management, and building information
    • CCS.5: Algorithms and data analysis of multi-frequency SAR data for scientific downstream applications
    • CCS.6: How can multi-temporal InSAR coherence benefit your application? Reports from recent findings in various applications
    • CCS.7: Searching for Activities from Heterogeneous EO Satellite Sensors
    • CCS.8: Rare target detection in spectral imagery
    • CCS.9: Recent Advances in Hyperspectral Image Processing: Methodology and Application
    • CCS.10: Ushering a new era of spaceborne hyperspectral sensors to propel gigantic leap in the earth remote sensing
    • CCS.11: Coexistence of Communication and Passive Sensing Technologies
    • CCS.12: Radio Frequency Interference in microwave remote sensors
    • CCS.13: Advances in Multimodal Remote Sensing Image Processing and Interpretation
    • CCS.14: Data Fusion: The AI Era
    • CCS.15: IEEE GRSS Data Fusion Contest - Track 1: Building Detection and Roof Type Classification
    • CCS.16: IEEE GRSS Data Fusion Contest - Track 2: Multi-Task Learning of Joint Building Extraction and Height Estimation
    • CCS.17: Modern Approaches to Multi-Dimensional Data Fusion
    • CCS.18: Multi Sensor Data Fusion with AI for precision Land cover Information Retrieval
    • CCS.19: Multisensor data fusion and geospatial data intelligence
    • CCS.20: Advanced Data Management Technologies for Remote Sensing Data
    • CCS.21: Cloud-based platform environments for Earth Observation: enabling Science & Applications
    • CCS.22: Continental to global mapping applications enabled by cloud-based platform environments.
    • CCS.23: Earth Observation Dashboard
    • CCS.24: GRSS ESI/HDCRS - Harnessing the Power of Quantum Computing for Machine Learning
    • CCS.25: GRSS ESI/HDCRS - Quantum computing next generation HPC
    • CCS.26: GRSS ESI/HDCRS - Scalable Parallel Computing for Remote Sensing
    • CCS.27: Large-scale earth observation data management and feature extraction from remote sensing images
    • CCS.28: Open Science platforms and the role of remote sensing
    • CCS.29: Integration of remote sensing with in-situ data at different scales
    • CCS.30: Advances in Spatio-Temporal Datacube Management, Visualization, Analytics and AI (IEEE ESI Committee session)
    • CCS.31: AI-based Methods for EO data compression
    • CCS.32: Applied Deep Learning Applications in Remote Sensing Data Analysis
    • CCS.33: Big Data and AI Technologies for Earth System Digital Twins
    • CCS.34: Data- and Model-Federation for Large-Scale Earth Observation Analytics
    • CCS.35: Datasets and Benchmarking in Remote Sensing
    • CCS.36: Explainable AI for Geohazard Mapping and Modelling using Geodata
    • CCS.37: Geophysical data analysis and inversion in the era of artificial intelligence
    • CCS.38: Large AI Models for EO
    • CCS.39: Machine Learning for GNSS Remote Sensing
    • CCS.40: Opening the Black Box: Explainable AI/ML in Remote Sensing Analysis
    • CCS.41: Physics Informed Artificial Intelligence for Synthetic Aperture Radar Applications
    • CCS.42: Remote Sensing Tools and methods for nature-based carbon sequestration measurement and verification
    • CCS.43: SAR Advanced Applications based on Deep Learning: urban, land and water applications
    • CCS.44: Scaling GeoAI for Rapid Disaster Response and Humanitarian Applications
    • CCS.45: At the boundaries of radio propagation and remote sensing: A tribute to Prof. Frank Silvio Marzano
    • CCS.46: GNSS-R Modeling Part 1: Land
    • CCS.47: GNSS-R Modeling Part 2: Scattering Properties
    • CCS.48: GNSS-R Modeling Part 3: Inland Water
    • CCS.49: Microwave Remote Sensing of Snow
    • CCS.50: Advanced observations of sea ice by satellite SAR in a changing climate
    • CCS.51: Advances in monitoring and characterizing terrestrial ecosystem monitoring using remote sensing data
    • CCS.52: Vegetation growth dynamics associated with water cycles
    • CCS.53: Forest Dynamics and Disturbances
    • CCS.54: From Need to Product: Recent Advances in Mapping and Validation of Vegetation Biophysical Parameters at Regional to Global Extents
    • CCS.55: Machine learning for forest monitoring
    • CCS.56: MULTIFREQUENCY MICROWAVE APPLICATIONS TO SOIL AND VEGETATION : OBSERVATIONS AND MODELING
    • CCS.57: Large-scale forest aboveground biomass and height mapping with the combination of spaceborne radar and lidar/optical sensors
    • CCS.58: Mapping global croplands for food and water security in the twenty-first century using big-data analytics, machine learning and cloud computing
    • CCS.59: Optimising resources use efficiency in agricultural systems
    • CCS.60: Synergistic use of Remote Sensing, IoT, and AI in Agriculture
    • CCS.61: Utility of Remote Sensing Tools for Water Management of Woody Perennial Crops in a Changing Climate
    • CCS.62: InSAR-based applications for the resilience of urban areas and infrastructures to natural and anthropogenic hazards
    • CCS.63: Remote sensing data applied to mineral deposits: a new era for critical raw material deposits studies
    • CCS.64: NASA Soil Moisture Active Passive Mission Observations and Results
    • CCS.65: Characterizing wetland vegetation structure, biomass, and change with SAR, LIDAR, & multi/hyperspectral fusion
    • CCS.66: Earth Observations for data-driven strategies to improve prediction of floods and their impacts
    • CCS.67: Hydrological Information Acquisition and Analysis Based on Remote Sensing
    • CCS.68: Artificial intelligence for radar and satellite remote sensing of precipitation
    • CCS.69: Global Precipitation Mission
    • CCS.70: Global precipitation Mission : Applications
    • CCS.71: Land Data Assimilation of Remote Sensing Terrestrial Data
    • CCS.72: Hyperspectral Microwave Sounder Science and Technology
    • CCS.73: Planetary Boundary Layer from Space
    • CCS.74: Satellite Atmospheric Sounding: Progress and Innovation
    • CCS.75: Advanced Characterization of Biomass Burning Smoke and Mineral Dust Aerosols
    • CCS.76: The role of remote sensing for understanding greenhouse emissions, global stocktake, and air pollution
    • CCS.77: 3rd IEEE GRSS - Van Allen Foundation Student Grand Challenge
    • CCS.78: Remote Sensing of Optically Complex Waters
    • CCS.79: Remote Sensing of Variables and Mesoscale Processes Linking the Ocean and Atmosphere
    • CCS.80: SST applications and the Group for High Resolution Sea Surface Temperature (GHRSST)
    • CCS.81: SAR Monitoring of Hazards on Marine Coastal Environments
    • CCS.82: Underwater remote sensing based on sonar technique
    • CCS.83: Recent Advances on Lunar Missions and Cis-lunar Space Protection
    • CCS.84: Applications of very high resolution X-Band SAR data
    • CCS.85: Coordination and cooperation of International Spaceborne SAR Missions
    • CCS.86: Small SAR constellation mission & applications in Korea
    • CCS.87: TanDEM-X: Update and Highlights of the 4D Mission Phase
    • CCS.88: The Guts of the NASA-ISRO SAR Mission
    • CCS.89: The NASA-ISRO SAR Mission is Coming!
    • CCS.90: Science in small packages: CubeSat and SmallSat impact on future of remote sensing
    • CCS.91: WSF-M Mission Status and Calibration (Part I)
    • CCS.92: WSF-M Mission Status and Calibration (Part II)
    • CCS.93: GNSS-R Spaceborne Missions, Present and Future
    • CCS.94: Calibration and Validation for new spaceborne imaging spectroscopy missions
    • CCS.95: PRISMA Hyperspectral Data Exploitation
    • CCS.96: Scientific Applications for New Space Hyperspectral Missions
    • CCS.97: State-of-art technology and application of new spaceborne imaging spectroscopy missions
    • CCS.98: ALOS Series Mission, Cal/Val, and Applications (Part 1) ALOS Series Mission, Cal/Val, and Applications (Part 2)
    • CCS.99: Commercial Space with a Public Benefit: The Evolving Role of New Space Missions
    • CCS.100: Future space missions on the thermal infrared radiometry of the Earth at high spatio-temporal resolution
    • CCS.101: NewSpace SAR Instruments
    • CCS.102: Next Generation of LEO/GEO Microwave and Infrared Sounders
    • CCS.103: Optimization of the Global Next-Gen Space Architecture to Support Earth Science Applications
    • CCS.104: The age of AI and edge computing in space has come
    • CCS.105: UAV/mobile-mapping SAR systems and applications
    • CCS.106: Terrestrial Radar/SAR Systems and Applications
    • CCS.107: Recent Advances on Polarimetric GNSS-R
    • CCS.108: LiDAR point clouds intelligent processing
    • CCS.109: Quantum Rydberg Radars
    • CCS.110: Advances in Passive Microwave and Millimeter-wave Technology
    • CCS.111: THz Range, Ultra-Low-Noise, Ultra-Wideband Receiver Technologies for Remote Sensing
    • CCS.112: Recent Advances in Synthetic Apertures for Geosciences and Remote Sensing
    • CCS.113: Nano and Picosatellites as Tools for Education in Remote Sensing: The 2nd GRSS Grand Challenge and other Educational Activities based in CubeSats
    • CCS.114: Women in SAR: Excellence, diversity and challenges
    • CCS.115: Open Innovation for Earth Observation Science and Applications
    • CCS.116: Open Science in Action
    • CCS.117: Advanced Flood Monitoring and Prediction for Disaster Risk Reduction and Resilient Infrastructure
    • CCS.118: Bridging the Gap between Near Real-Time Remote Sensing Data Products and User Needs for Geoscience Applications
    • CCS.119: Earth Observation Technologies for Disaster Risk Management
    • CCS.120: Integrated studies of geohazards and space weather with multi-sensor observations
    • CCS.121: JPSS and the global Low Earth Observing (LEO) satellite constellation: evolving towards a synergistic and heterogenous constellation
    • CCS.122: Latest Developments on Earth Observation for Risk and Disaster Management Applications Using Reflectometry
    • CCS.123: Machine learning and remote sensing data for rapid disaster response
    • CCS.124: Remote Sensing of Marine Pollution and Harmful Algal Blooms
    • CCS.125: Remotely sensed monitoring and nowcasting of environmental disasters
    • CCS.126: The Fire Sense Initiative: Bringing NASA’s Capabilities to the Operational and Scientific Communities
    • CCS.127: The Value of Environmental Satellite Data
    • CCS.128: Advancing Sustainability Through Remote Sensing and Artificial Intelligence
    • CCS.129: Honoring Dr. Yuriy Shkvarko: Trends and Advances of Remote Sensing Research in Mexico
    • CCS.130: Remote sensing for coastal sustainability
    • CCS.131: Remote Sensing for Renewable Energy
    • CCS.132: Responsible AI4EO
    • CCS.133: Sustainable Development Goals Through Image Analysis and Earth Observation Data
    • CCS.134: Analysis Ready Data: New Opportunities
    • CCS.135: Standards Evolution Part 1: Sensors, Derived Products, and Data Fusion (a joint session proposal from the GRSS Standards Committee and ESI TC )
    • CCS.136: Standards Evolution Part 2: Data Management, Services, and Federation (joint session by IEEE GRSS ESI and Standards Committees)
    • CCS.137: Towards standards for data products: Analysis Ready Data, Decision Ready Information, and Geodata Cubes
    • CCS.138: Active Remote Sensing of Global Change
    • CCS.139: Boosting Remote Sensing Applications for local Adaptation to Climate Change
    • CCS.140: Cryosphere hazards in the HKH in the wake of climate change
    • CCS.141: EO applied to Climate Security scenarios
    • CCS.142: Inclusivity in Climate Change Research
    • CCS.143: Monitoring flood impacts using satellite remote sensing and machine learning - I
    • CCS.144: Monitoring flood impacts using satellite remote sensing and machine learning - II
    • CCS.145: Quantum Technology for Remote Sensing
    • CCS.146: Preparing for the Copernicus Imaging Microwave Radiometer (CIMR)
    • CCS.147: NASA PACE Mission