Technical Program

Paper Search
Program Booklet
CCS = Community-Contributed Session
Sunday, July 16
Sun, 16 Jul, 09:00 - 12:00 Pacific Time (UTC -7)
HD-01: Deep Learning for monitoring and forecasting natural hazards with earth observation data
Room R2.4
HD-02: Getting Started with SAR: Understanding, Accessing and Working with Synthetic Aperture Radar Data
Room R2.5
HD-03: Pansharpening by convolutional neural networks
Room R3
HD-04: Remote Sensing with Reflected Global Navigation Satellite System (GNSS-R) and other Signals of Opportunity (SoOp)
Room R4.1
HD-05: Geo-Storytelling with NASA-ESA-JAXA EO Dashboard
Room R4.2
Sun, 16 Jul, 09:00 - 17:00 Pacific Time (UTC -7)
FD-01: Machine Learning in Remote Sensing - Theory and Applications for Earth Observation
Room R1
FD-02: Data-efficient Deep Learning for Earth Observation
Room R2.1
FD-03: GRSS ESI/HDCRS End-to-End Machine Learning with Supercomputing and in the Cloud
Room R2.2
FD-04: Identifying Ethical Issues in Earth Observation Research: Hands-On Tutorial with Case-Studies
Room R2.3
Sun, 16 Jul, 14:00 - 17:00 Pacific Time (UTC -7)
HD-06: NASA’s Transform to Open Science (TOPS) Open Science 101 Workshop
Room R2.4
HD-07: SAR at Scale: Working with Large Volumes of Synthetic Aperture Radar Data
Room R2.5
HD-08: TomoSAR Persistent Scatterer Processing to track Earth’s subtle movements
Room R3
HD-09: Predictive Modeling of Hyperspectral Responses of Natural Materials: Challenges and Applications
Room R4.1
HD-10: MAPEO-water: in the cloud drone processing for water applications
Room R4.2
Monday, July 17
Mon, 17 Jul, 13:00 - 14:15 Pacific Time (UTC -7)
MO1.R1: Deep Learning for Image Processing
Room 1
MO1.R2: Scene Classification
Room 2
MO1.R3: Advanced Concepts for Signals of Opportunity
Room 3
CCS
MO1.R4: Nano and Picosatellites As Tools for Education in Remote Sensing: The 2nd GRSS Grand Challenge and Other Educational Activities Based in CubeSats I
Room 4
CCS
MO1.R5: Next Generation of LEO/GEO Microwave and Infrared Sounders
Room 5
CCS
MO1.R6: Future Space Missions on the Thermal Infrared Radiometry of the Earth at High Spatio-temporal Resolution I
Room 6
MO1.R7: Topographic and Hydrologic Mapping
Room 7
MO1.R8: Land Cover Dynamics I: Multispectral
Room 8
MO1.R9: Remote Sensing of Planets and Celestial Bodies I
Room 9
CCS
MO1.R10: Cloud-Based Platform Environments for Earth Observation: Enabling Science & Applications I
Room 10
CCS
MO1.R11: Applied Deep Learning Applications in Remote Sensing Data Analysis
Room 11
MO1.R12: Electromagnetic Modeling and Radiative Transfer
Room 12
CCS
MO1.R13: Advancing Sustainability through Remote Sensing and Artificial Intelligence
Room 13
CCS
MO1.R14: Advances in Monitoring and Characterizing Terrestrial Ecosystem Monitoring using Remote Sensing Data I
Room 14
CCS
MO1.R15: Advanced Flood Monitoring and Prediction for Disaster Risk Reduction and Resilient Infrastructure I
Room 15
MO1.R16: Ocean Biology and Water Quality I
Room 16
MO1.R17: Optical Remote Sensing of Snow
Room 17
MO1.R18: Precipitation and Clouds I
Room 18
Mon, 17 Jul, 14:15 - 15:45 Pacific Time (UTC -7)
MOP.P1: Feature Extraction and Image Matching with Radar and Multimodal Data
Poster Area 1
MOP.P2: Feature Extraction and Selection from Optical Images
Poster Area 2
MOP.P3: Radar Systems
Poster Area 3
MOP.P4: Signal Processing in Remote Sensing
Poster Area 4
MOP.P5: Classification and Clustering I
Poster Area 5
MOP.P6: Deep Learning for Scene Classification and Semantic Segmentation
Poster Area 6
MOP.P7: Classification and Clustering II
Poster Area 7
MOP.P8: Machine Learning Approaches in Different Applications
Poster Area 8
MOP.P9: Different Applications with Remote Sensing Data
Poster Area 9
MOP.P10: External Calibration
Poster Area 10
MOP.P11: IoT in Geoscience and Remote Sensing
Poster Area 11
MOP.P12: Spatio-temporal Data Harmonization II
Poster Area 12
MOP.P13: Tackling Label Scarcity and Noise in Machine Learning
Poster Area 13
MOP.P14: Data Analytics and AI Techniques in Remote Sensing
Poster Area 14
MOP.P15: Electromagnetic Modeling: Radar and Passive Microwave
Poster Area 15
MOP.P16: Electromagnetic modeling: Other Topics
Poster Area 16
MOP.P17: EM Scattering Modeling
Poster Area 17
MOP.P18: Land Use Applications Using Learning Models
Poster Area 18
MOP.P19: Statistics and Fusion Based Models for Land Use and Land Cover Applications
Poster Area 19
MOP.P20: Multitemporal Land Cover Analysis
Poster Area 20
MOP.P21: Land Cover Mapping
Poster Area 21
MOP.P22: Topographic and Hydrologic Mapping
Poster Area 22
MOP.P23: Remote Sensing of Planets and Celestial Bodies IV
Poster Area 23
MOP.P24: Remote Sensing of Planets and Celestial Bodies V
Poster Area 24
MOP.P25: Spaceborne Hyperspectral Missions and Applications
Poster Area 25
MOP.P26: Recent Advances in GNSS-R Techniques and Applications
Poster Area 26
MOP.P27: Advances in Ground Penetrating Radar
Poster Area 27
MOP.P28: Scatterometers, Clouds, and Rain Radars
Poster Area 28
MOP.P29: Remote Sensing for Climate Change Impacts II
Poster Area 29
MOP.P30: Remote Sensing for Climate Change Impacts III
Poster Area 30
MOP.P31: Remote Sensing for Sustainable Development II
Poster Area 31
MOP.P32: Ocean Biology and Water Quality II
Poster Area 32
MOP.P33: Optical Remote Sensing of Snow Cover
Poster Area 33
MOP.P34: Clouds and Precipitation: Algorithms
Poster Area 34
MOP.P35: Clouds and Precipitation: Observations and Instruments
Poster Area 35
Mon, 17 Jul, 15:45 - 17:00 Pacific Time (UTC -7)
MO2.R1: Feature Extraction and Reduction
Room 1
MO2.R2: Supervised, Semi-Supervised, and Unsupervised Learning
Room 2
CCS
MO2.R3: Recent Advances in Synthetic Aperture Radars for Geosciences and Remote Sensing
Room 3
CCS
MO2.R4: Nano and Picosatellites As Tools for Education in Remote Sensing: The 2nd GRSS Grand Challenge and Other Educational Activities Based in CubeSats II
Room 4
CCS
MO2.R5: Small SAR Constellation Mission and Applications in Korea
Room 5
CCS
MO2.R6: Future Space Missions on the Thermal Infrared Radiometry of the Earth at High Spatio-temporal Resolution II
Room 6
CCS
MO2.R7: Recent Advances in Polarimetric GNSS-R
Room 7
MO2.R8: Land Cover Dynamics II: SAR and VHR
Room 8
MO2.R9: Remote Sensing for Climate Change Impacts I
Room 9
CCS
MO2.R10: Cloud-Based Platform Environments for Earth Observation: Enabling Science & Applications II
Room 10
CCS
MO2.R11: Earth Observation Dashboard
Room 11
MO2.R12: EM Scattering Modeling
Room 12
CCS
MO2.R13: How Can Multi-Temporal InSAR Coherence Benefit Your Application? Reports from Recent Findings in Various Applications
Room 13
CCS
MO2.R14: Advances in Monitoring and Characterizing Terrestrial Ecosystem Monitoring using Remote Sensing Data II
Room 14
CCS
MO2.R15: Advanced Flood Monitoring and Prediction for Disaster Risk Reduction and Resilient Infrastructure II
Room 15
CCS
MO2.R16: Remote Sensing of Optically Complex Waters
Room 16
MO2.R17: Microwave Remote Sensing of Snow Properties I
Room 17
MO2.R18: Precipitation and Clouds II
Room 18
Tuesday, July 18
Tue, 18 Jul, 07:00 - 08:30 Pacific Time (UTC -7)
YP
YP Breakfast Lecture: Cloud Practice, AI, Analytics, Data Visualization and Machine Learning
Tue, 18 Jul, 08:30 - 09:45 Pacific Time (UTC -7)
TU1.R1: Image Analysis for the Remote Sensing of Water Bodies
Room 1
TU1.R2: Deep Learning Methods for Change Detection I
Room 2
TU1.R3: Advanced Microwave and Millimeter-Wave Radiometers
Room 3
CCS
TU1.R5: Coordination and Cooperation of International Spaceborne SAR Missions I
Room 5
CCS
TU1.R6: WSF-M Mission Status and Calibration I
Room 6
TU1.R7: Passive Microwave Remote Sensing of Soil Moisture
Room 7
TU1.R8: Forest Observation and Mapping Through Radar Data Analysis
Room 8
TU1.R9: RFI Detection and Mitigation I
Room 9
CCS
TU1.R10: Advances in Multimodal Remote Sensing Image Processing and Interpretation I
Room 10
CCS
TU1.R11: Integration of Remote Sensing with In-Situ Data at Different Scales
Room 11
CCS
TU1.R12: GNSS-R Modeling I: Land
Room 12
CCS
TU1.R13: Representation Learning in Remote Sensing I: Contrastive Pretraining and Few-Shot Learning
Room 13
CCS
TU1.R14: Forest Dynamics and Disturbances
Room 14
CCS
TU1.R15: Bridging the Gap Between Near Real-Time Remote Sensing Data Products and User Needs for Geoscience Applications I
Room 15
TU1.R16: Ocean Surface Winds and Currents: Current and Future Missions
Room 16
TU1.R17: Microwave Modeling and Observation of Snow II
Room 17
CCS
TU1.R18: Global Precipitation Mission
Room 18
Tue, 18 Jul, 08:30 - 10:10 Pacific Time (UTC -7)
TU1.R4: Student Paper Competition I
Room 4
Tue, 18 Jul, 10:15 - 11:30 Pacific Time (UTC -7)
TU2.R1: Image Analysis for Land Cover Mapping
Room 1
TU2.R2: Deep Learning Methods for Change Detection II
Room 2
CCS
TU2.R3: THz Range, Ultra-Low-Noise, Ultra-Wideband Receiver Technologies for Remote Sensing
Room 3
CCS
TU2.R5: Coordination and Cooperation of International Spaceborne SAR Missions II
Room 5
CCS
TU2.R6: WSF-M Mission Status and Calibration II
Room 6
TU2.R7: Active Remote Sensing of Soil Moisture
Room 7
TU2.R8: Forest and Vegetation Mapping Through Machine Learning Methods
Room 8
CCS
TU2.R9: Coexistence of Communication and Passive Sensing Technologies
Room 9
CCS
TU2.R10: Advances in Multimodal Remote Sensing Image Processing and Interpretation II
Room 10
CCS
TU2.R11: GRSS ESI/HDCRS - Harnessing the Power of Quantum Computing for Machine Learning
Room 11
CCS
TU2.R12: GNSS-R Modeling II: Scattering Properties
Room 12
CCS
TU2.R13: Representation Learning in Remote Sensing II: Time Series, Change Detection, and Label Noise
Room 13
CCS
TU2.R14: Quantum Technology for Remote Sensing I
Room 14
CCS
TU2.R15: Bridging the Gap Between Near Real-Time Remote Sensing Data Products and User Needs for Geoscience Applications II
Room 15
TU2.R16: Ocean Surface Winds and Currents: Methods and Applications
Room 16
CCS
TU2.R17: Microwave Remote Sensing of Snow: Mission Concept
Room 17
CCS
TU2.R18: Global Precipitation Mission: Applications
Room 18
Tue, 18 Jul, 10:20 - 12:00 Pacific Time (UTC -7)
TU2.R4: Student Paper Competition II
Room 4
Tue, 18 Jul, 13:00 - 14:15 Pacific Time (UTC -7)
TU3.R1: Novel Methods for Detection and Recognition of Marine Vessels
Room 1
TU3.R2: Deep Learning Methods for Inversion
Room 2
TU3.R3: Spatio-temporal Data Harmonization I
Room 3
CCS
TU3.R4: IEEE GRSS Data Fusion Contest I: Building Detection and Roof Type Classification
Room 4
TU3.R5: Spaceborne SAR Missions and Concepts
Room 5
CCS
TU3.R6: Scientific Applications for New Space Hyperspectral Missions
Room 6
TU3.R7: Sensing, Calibrating, and Validating Soil Moisture
Room 7
TU3.R8: Forest Mapping Through Airborne and Terrestrial Laser Scanning
Room 8
CCS
TU3.R9: Radio Frequency Interference in Microwave Remote Sensors I
Room 9
CCS
TU3.R10: Monitoring Flood Impacts using Satellite Remote Sensing and Machine Learning I
Room 10
CCS
TU3.R11: GRSS ESI/HDCRS - Scalable Parallel Computing for Remote Sensing
Room 11
CCS
TU3.R12: GNSS-R Modeling III: Inland Water
Room 12
CCS
TU3.R13: DL Paradigm for SAR Image Restoration: Current Methodologies and Future Trends I
Room 13
CCS
TU3.R14: Quantum Technology for Remote Sensing II
Room 14
CCS
TU3.R15: Earth Observation Technologies for Disaster Risk Management I
Room 15
TU3.R16: Sea Surface Salinity
Room 16
CCS
TU3.R17: Microwave Remote Sensing of Snow: Multi-Frequency
Room 17
TU3.R18: Numerical Weather Prediction and Data Assimilation
Room 18
Tue, 18 Jul, 14:15 - 15:45 Pacific Time (UTC -7)
TUP.P1: Deep Learning for Remote Sensing of the Environment
Poster Area 1
TUP.P2: Ship Detection in Remote Sensing Images
Poster Area 2
TUP.P3: Road, building, and vehicle detection
Poster Area 3
TUP.P4: Target Recognition in Remote Sensing Image I
Poster Area 4
TUP.P5: Detection and Classification in Remote Sensing
Poster Area 5
TUP.P6: Target Recognition in Remote Sensing Image II
Poster Area 6
TUP.P7: Target Recognition in Remote Sensing Image III
Poster Area 7
TUP.P8: Clustering/Segmentation and Detection
Poster Area 8
TUP.P9: Deep Learning for Change Detection
Poster Area 9
TUP.P10: Advanced Methods for Change Detection
Poster Area 10
TUP.P11: Change Detection Applications I
Poster Area 11
TUP.P12: Change Detection Applications II
Poster Area 12
TUP.P13: RFI Detection and Mitigation II
Poster Area 13
TUP.P14: Different Methods for Image Processing
Poster Area 14
TUP.P15: Multi-Modal/Multi-Band Analysis
Poster Area 15
TUP.P16: Machine Learning for Image Processing and Synthesis
Poster Area 16
TUP.P17: Machine Learning for Clouds, Dust, and Hazards
Poster Area 17
TUP.P18: Machine Learning for Radar and SAR Application
Poster Area 18
TUP.P19: Forest and Vegetation Mapping Through Machine Learning Methods I
Poster Area 19
TUP.P20: Forest and Vegetation Mapping Through Machine Learning Methods II
Poster Area 20
TUP.P21: Forest Monitoring Through Multimodal Data I
Poster Area 21
TUP.P22: Forest Monitoring Through Multimodal Data II
Poster Area 22
TUP.P23: Remote Sensing of Soil Properties
Poster Area 23
TUP.P24: Active and/or Passive Microwave Remote Sensing for Soil Moisture
Poster Area 24
TUP.P25: Measurement and Validation of Remote Sensed Soil Moisture
Poster Area 25
TUP.P26: SAR Mission and Operation Concepts
Poster Area 26
TUP.P27: Passive Microwave Radiometer Missions and Analysis
Poster Area 27
TUP.P28: Advanced Microwave and Millimeter-Wave Radiometers and Calibration
Poster Area 28
TUP.P29: Advanced Onboard Signal Processing Techniques II
Poster Area 29
TUP.P30: Ocean Temperature
Poster Area 30
TUP.P31: Ocean Surface Winds and Currents II
Poster Area 31
TUP.P32: Ocean Surface Winds and Currents I
Poster Area 32
TUP.P33: Microwave Measurements of Snow Properties
Poster Area 33
TUP.P34: Meteorology and Climate
Poster Area 34
CCS
TUP.P35: At the Boundaries of Radio Propagation and Remote Sensing: A Tribute to Prof. Frank Silvio Marzano II
Poster Area 35
Tue, 18 Jul, 15:45 - 17:00 Pacific Time (UTC -7)
TU4.R1: Semi and Self-segmentations for Object Detection and Identification
Room 1
TU4.R2: Pansharpening
Room 2
TU4.R3: Advanced Onboard Signal Processing Techniques I
Room 3
CCS
TU4.R4: IEEE GRSS Data Fusion Contest II: Multi-Task Learning of Joint Building Extraction and Height Estimation
Room 4
TU4.R5: New and Upcoming Spaceborne SAR Missions
Room 5
TU4.R6: Spaceborne Passive Microwave Missions
Room 6
TU4.R7: Modeling and Validation of Soil Moisture
Room 7
TU4.R8: Advanced Techniques for Ecosystem Modeling and Monitoring
Room 8
CCS
TU4.R9: Radio Frequency Interference in Microwave Remote Sensors II
Room 9
CCS
TU4.R10: Monitoring Flood Impacts using Satellite Remote Sensing and Machine Learning II
Room 10
CCS
TU4.R11: GRSS ESI/HDCRS - Quantum Computing Next Generation HPC
Room 11
CCS
TU4.R12: At the Boundaries of Radio Propagation and Remote Sensing: A Tribute to Prof. Frank Silvio Marzano I
Room 12
CCS
TU4.R13: DL Paradigm for SAR Image Restoration: Current Methodologies and Future Trends II
Room 13
TU4.R14: Machine Learning for Image Processing and Synthesis
Room 14
CCS
TU4.R15: Earth Observation Technologies for Disaster Risk Management II
Room 15
CCS
TU4.R16: Remote sensing of variables and mesoscale processes linking the ocean and atmosphere
Room 16
CCS
TU4.R17: Microwave Remote Sensing of Snow: InSAR
Room 17
CCS
TU4.R18: Land Data Assimilation of Remote Sensing Terrestrial Data
Room 18
Tue, 18 Jul, 17:00 - 18:00 Pacific Time (UTC -7)
TC Meeting: Frequency Allocations in Remote Sensing (FARS)
Room 9
TC Meeting: Remote sensing Environment, Analysis and Climate Technologies (REACT)
Room 10
TC Meeting: Earth Science Informatics (ESI)
Room 11
TC Meeting: Modeling in Remote Sensing (MIRS)
Room 12
Tue, 18 Jul, 19:00 - 22:00 Pacific Time (UTC -7)
YP
Young Professionals’ Mixer
Wednesday, July 19
Wed, 19 Jul, 07:00 - 08:30 Pacific Time (UTC -7)
YP
YP Breakfast Lecture: Spectrometers
Wed, 19 Jul, 08:30 - 09:45 Pacific Time (UTC -7)
WE1.R1: 3D Mapping with Satellite and Aerial Data
Room 1
WE1.R2: Multisensor Fusion
Room 2
WE1.R3: LiDAR Point Clouds Intelligent Processing
Room 3
WE1.R4: Remote Sensing of Planets and Celestial Bodies II
Room 4
CCS
WE1.R5: The guts of the NASA-ISRO SAR mission
Room 5
CCS
WE1.R6: GNSS-R Spaceborne Missions: Present and Future
Room 6
WE1.R7: Remote Sensing of Wetlands I
Room 7
CCS
WE1.R8: NASA Soil Moisture Active Passive Mission Observations and Results I
Room 8
WE1.R9: Education and Policy: Data Management and Systems I
Room 9
CCS
WE1.R10: Datasets and Benchmarking in Remote Sensing I
Room 10
CCS
WE1.R11: Sustainable Development Goals Through Image Analysis and Earth Observation Data
Room 11
WE1.R12: Electromagnetic Modeling: Optical radiative transfer
Room 12
CCS
WE1.R13: 3D Mapping with Remote Sensing Data for Digital TwIns, Disaster Management, and Building Information
Room 13
WE1.R14: Advanced Machine Learning Techniques for Remote Sensing
Room 14
CCS
WE1.R15: JPSS and the Global Low Earth Observing (LEO) Satellite Constellation: Evolving Towards a Synergistic and Heterogenous Constellation
Room 15
CCS
WE1.R16: SST Applications and the Group for High Resolution Sea Surface Temperature (GHRSST) I
Room 16
CCS
WE1.R17: Opening the Black Box: Explainable AI/ML in Remote Sensing Analysis I
Room 17
WE1.R18: Atmospheric Sounding and Structure
Room 18
Wed, 19 Jul, 10:15 - 11:30 Pacific Time (UTC -7)
WE2.R1: Deep Learning for Image Analysis
Room 1
WE2.R2: Inversion Techniques
Room 2
CCS
WE2.R3: LiDAR Point Clouds Intelligent Processing
Room 3
WE2.R4: Remote Sensing of Planets and Celestial Bodies III
Room 4
CCS
WE2.R5: The NASA-ISRO SAR Mission is Coming! I
Room 5
CCS
WE2.R6: Preparing for the Copernicus Imaging Microwave Radiometer (CIMR) I
Room 6
WE2.R7: Remote Sensing of Surface Water
Room 7
CCS
WE2.R8: NASA Soil Moisture Active Passive Mission Observations and Results II
Room 8
CCS
WE2.R9: Boosting Remote Sensing Applications for Local Adaptation to Climate Change
Room 9
CCS
WE2.R10: Datasets and Benchmarking in Remote Sensing II
Room 10
CCS
WE2.R11: Analysis Ready Data: New Opportunities
Room 11
CCS
WE2.R12: Calibration and Validation for New Spaceborne Imaging Spectroscopy Missions
Room 12
CCS
WE2.R13: Multi-sensor Data Fusion and Geospatial Data Intelligence
Room 13
WE2.R14: Bio/Geo-Physical Parameter Estimation via Machine Learning
Room 14
CCS
WE2.R15: Remotely Sensed Monitoring and Nowcasting of Environmental Disasters
Room 15
CCS
WE2.R16: SST Applications and the Group for High Resolution Sea Surface Temperature (GHRSST) II
Room 16
CCS
WE2.R17: Opening the Black Box: Explainable AI/ML in Remote Sensing Analysis II
Room 17
CCS
WE2.R18: Hyperspectral Microwave Sounder Science and Technology
Room 18
Wed, 19 Jul, 13:00 - 14:15 Pacific Time (UTC -7)
WE3.R1: Image Analysis for Urban Infrastructure I
Room 1
WE3.R2: Analysis of Satellite Image Time Series
Room 2
WE3.R3: SAR Tomography: Method and Applications I
Room 3
CCS
WE3.R4: Open Innovation for Earth Observation Science and Applications
Room 4
CCS
WE3.R5: The NASA-ISRO SAR Mission is Coming! II
Room 5
CCS
WE3.R6: Preparing for the Copernicus Imaging Microwave Radiometer (CIMR) II
Room 6
WE3.R7: Retrieval of Vegetation Parameters I
Room 7
WE3.R8: Forest and Vegetation Biomass Estimation I
Room 8
CCS
WE3.R9: Advances in Passive Microwave and Millimeter-Wave Technology I
Room 9
CCS
WE3.R10: Advances in Spatio-temporal Datacube Management, Visualization, Analytics and AI
Room 10
CCS
WE3.R11: Standards Evolution I: Sensors, Derived Products, and Data Fusion
Room 11
CCS
WE3.R12: State-of-Art Technology and Application of New Spaceborne Imaging Spectroscopy Missions I
Room 12
CCS
WE3.R13: Recent Advances in Hyperspectral Image Processing: Methodology and Application I
Room 13
WE3.R14: Geo-physical Parameter Estimation via Machine Learning
Room 14
CCS
WE3.R15: Machine Learning and Remote Sensing Data for Rapid Disaster Response I
Room 15
WE3.R16: Coastal Oceans I
Room 16
CCS
WE3.R17: Machine Learning for GNSS Remote Sensing
Room 17
CCS
WE3.R18: Planetary Boundary Layer from Space I
Room 18
Wed, 19 Jul, 14:15 - 15:45 Pacific Time (UTC -7)
WEP.P1: SAR Tomography: Method and Applications III
Poster Area 1
WEP.P2: SAR Tomography: Method and Applications IV
Poster Area 2
WEP.P3: Remote Sensing Image Analysis for the Built Environment
Poster Area 3
WEP.P4: Man-Made Object Extraction in Remote Sensing Images
Poster Area 4
WEP.P5: Remote Sensing Image Segmentation by Recently Developed Methodology
Poster Area 5
WEP.P6: 3D Data Construction, Processing and Evaluation
Poster Area 6
WEP.P7: 3D Data Analysis and Applications
Poster Area 7
WEP.P8: Target Detection and Classification in SAR Images
Poster Area 8
WEP.P9: SAR Image Synthesis and Processing
Poster Area 9
WEP.P10: Inversion and Estimation Techniques
Poster Area 10
WEP.P11: Land and Ocean Inversion Techniques
Poster Area 11
WEP.P12: Super Resolution and Reconstruction
Poster Area 12
WEP.P13: Time Series Analysis
Poster Area 13
WEP.P14: Multi-temporal Analysis of SAR Images
Poster Area 14
WEP.P15: Bio-physical and Bociological Parameter Estimation via Machine Learning
Poster Area 15
WEP.P16: Geo-physical Parameter Estimation via Machine Learning
Poster Area 16
WEP.P17: Semantic Analysis of SAR and Radar Data
Poster Area 17
WEP.P18: Semantic Analysis of Optical Imagery
Poster Area 18
WEP.P19: Retrieval of Vegetation Parameters III
Poster Area 19
WEP.P20: Retrieval of Vegetation Parameters IV
Poster Area 20
WEP.P21: Retrieval of Vegetation Parameters II
Poster Area 21
WEP.P22: Forest and Vegetation Mapping
Poster Area 22
WEP.P23: Forest and Vegetation Biomass Estimation II
Poster Area 23
WEP.P24: Forest and Vegetation Structure, Carbon, and Water Cycle
Poster Area 24
WEP.P25: Remote Sensing of Wetlands II
Poster Area 25
WEP.P26: Monitoring Extent and Evolution of Inland Waters and Wetlands
Poster Area 26
WEP.P27: LiDAR Point Clouds Intelligent Processing and Applications
Poster Area 27
WEP.P28: Education and Policy: Data Management and Systems II
Poster Area 28
WEP.P29: Education and Policy: Remote Sensing Data and Policy Decisions
Poster Area 29
WEP.P30: Advancing Geoscience Remote Sensing Through Standards
Poster Area 30
WEP.P31: Remote Sensing for Sustainable Development III
Poster Area 31
WEP.P32: Coastal Oceans II
Poster Area 32
WEP.P33: Coastal Oceans III
Poster Area 33
WEP.P34: Atmospheric Sounding
Poster Area 34
WEP.P35: Winds and Atmospheric Measurements
Poster Area 35
Wed, 19 Jul, 15:45 - 17:00 Pacific Time (UTC -7)
WE4.R1: Image Analysis for Urban Infrastructure II
Room 1
CCS
WE4.R2: Searching for Activities from Heterogeneous EO Satellite Sensors
Room 2
WE4.R3: SAR Tomography: Methods and Applications II
Room 3
CCS
WE4.R4: Open Science in Action
Room 4
CCS
WE4.R5: The NASA-ISRO SAR Mission is Coming! III
Room 5
CCS
WE4.R6: Science in Small Packages: CubeSat and SmallSat Impact on Future of Remote Sensing
Room 6
WE4.R7: Observation and Measurement of Forest and Vegetation
Room 7
WE4.R8: Agricultural Yield Estimation and Prediction I
Room 8
CCS
WE4.R9: Advances in Passive Microwave and Millimeter-Wave Technology II
Room 9
CCS
WE4.R10: Data Fusion: The AI Era
Room 10
CCS
WE4.R11: Standards Evolution II: Data Management, Services, and Federation
Room 11
CCS
WE4.R12: State-of-Art Technology and Application of New Spaceborne Imaging Spectroscopy Missions II
Room 12
CCS
WE4.R13: Recent Advances in Hyperspectral Image Processing: Methodology and Application II
Room 13
WE4.R14: Semantic Analysis of Earth Observation Data in Applications
Room 14
CCS
WE4.R15: Machine Learning and Remote Sensing Data for Rapid Disaster Response II
Room 15
CCS
WE4.R16: SAR Monitoring of Hazards on Marine Coastal Environments
Room 16
CCS
WE4.R17: Remote Sensing Tools and Methods for Nature-Based Carbon Sequestration Measurement and Verification
Room 17
CCS
WE4.R18: Planetary Boundary Layer from Space I
Room 18
Wed, 19 Jul, 17:00 - 18:00 Pacific Time (UTC -7)
TC Meeting: Instrumentation and Future Technologies (IFT)
Room 9
TC Meeting: Image Analysis and Data Fusion (IADF)
Room 10
TC Meeting: Geoscience Spaceborne Imaging Spectroscopy (GSIS)
Room 11
YP
TC Meeting: GRSS Standards for Earth Observations (GSEO)
Room 12
Thursday, July 20
Thu, 20 Jul, 07:00 - 08:30 Pacific Time (UTC -7)
YP
YP Breakfast Lecture: Radiometers
Thu, 20 Jul, 08:30 - 09:45 Pacific Time (UTC -7)
TH1.R1: Advanced Learning Models for Object Detection
Room 1
TH1.R2: Change Detection for Damage Assessment and Risk Prevention
Room 2
TH1.R3: Advanced Future Instrument Concepts I
Room 3
TH1.R4: PolSAR Image Analysis
Room 4
CCS
TH1.R5: TanDEM-X: Update and Highlights of the 4D Mission Phase I
Room 5
CCS
TH1.R6: NASA PACE Mission
Room 6
CCS
TH1.R7: Machine Learning for Forest Monitoring
Room 7
TH1.R8: Crop Properties and Phenology I
Room 8
CCS
TH1.R9: Applications of Very High Resolution X-Band SAR Data
Room 9
CCS
TH1.R10: Big Data and AI Technologies for Earth System Digital TwIns I
Room 10
CCS
TH1.R11: Advanced Data Management Technologies for Remote Sensing Data
Room 11
CCS
TH1.R12: Remote Sensing for Coastal SustaInability I
Room 12
CCS
TH1.R13: Algorithms and Data Analysis of Multi-Frequency SAR Data for Scientific Downstream Applications I
Room 13
TH1.R14: SAR and Machine Learning
Room 14
CCS
TH1.R15: The Value of Environmental Satellite Data
Room 15
TH1.R16: Microwave Observations of Ice Sheets
Room 16
TH1.R17: SAR Interferometry: Methods and Techniques I
Room 17
CCS
TH1.R18: Satellite Atmospheric Sounding: Progress and Innovation I
Room 18
Thu, 20 Jul, 10:15 - 11:30 Pacific Time (UTC -7)
TIE
Town Hall Meeting: Digital Twins for Earth Science
TH2.R1: Advanced Methods for Target Recognition
Room 1
TH2.R2: Advanced Change Detection and Multitemporal Analysis
Room 2
TH2.R3: Sub-surface sensing: Methods and Applications I
Room 3
CCS
TH2.R4: Polarimetric SAR Advanced Methods for Optimum Information Extraction I
Room 4
CCS
TH2.R5: TanDEM-X: Update and Highlights of the 4D Mission Phase II
Room 5
CCS
TH2.R6: PRISMA Hyperspectral Data Exploitation I
Room 6
CCS
TH2.R7: Multifrequency Microwave Applications to Soil and Vegetation: Observations and Modeling I
Room 7
TH2.R8: Agricultural Classification and Mapping I
Room 8
CCS
TH2.R9: NewSpace SAR Instruments
Room 9
CCS
TH2.R10: Big Data and AI Technologies for Earth System Digital TwIns II
Room 10
CCS
TH2.R11: Large-Scale Earth Observation Data Management and Feature Extraction from Remote Sensing Images
Room 11
CCS
TH2.R12: Remote Sensing for Coastal SustaInability II
Room 12
CCS
TH2.R13: Algorithms and Data Analysis of Multi-Frequency SAR Data for Scientific Downstream Applications II
Room 13
CCS
TH2.R14: Earth Observations for Data-Driven Strategies to Improve Prediction of Floods and Their Impacts
Room 14
CCS
TH2.R15: The Fire Sense Initiative: Bringing NASA’S Capabilities to the Operational and Scientific Communities
Room 15
TH2.R16: Active Microwave Remote Sensing of Ice Sheets
Room 16
TH2.R17: SAR Interferometry: Methods and Techniques II
Room 17
CCS
TH2.R18: Satellite Atmospheric Sounding: Progress and Innovation II
Room 18
Thu, 20 Jul, 13:00 - 14:15 Pacific Time (UTC -7)
TH3.R1: Acquisition and Geometrical Learning for Object Detection
Room 1
TH3.R2: Hyperspectral Imaging Denoising and Correction
Room 2
TH3.R3: SAR Calibration and Techniques I
Room 3
CCS
TH3.R4: Polarimetric SAR Advanced Methods for Optimum Information Extraction II
Room 4
TH3.R5: New Space Missions I
Room 5
CCS
TH3.R6: PRISMA Hyperspectral Data Exploitation II
Room 6
CCS
TH3.R7: Multifrequency Microwave Applications to Soil and Vegetation: Observations and Modeling II
Room 7
TH3.R8: Remote Sensing in Smart and Precision Agriculture
Room 8
CCS
TH3.R9: EO Applied to Climate Security Scenarios
Room 9
CCS
TH3.R10: Scaling GeoAI for Rapid Disaster Response and Humanitarian Applications
Room 10
TH3.R11: Data Management Systems and Computing Platforms in Remote Sensing I
Room 11
CCS
TH3.R12: Remote Sensing for Renewable Energy I
Room 12
CCS
TH3.R13: Modern Approaches to Multi-Dimensional Data Fusion
Room 13
CCS
TH3.R14: InSAR-Based Applications for the Resilience of Urban Areas and Infrastructures to Natural and Anthropogenic Hazards I
Room 14
CCS
TH3.R15: Remote Sensing of Marine Pollution and Harmful Algal Blooms I
Room 15
TH3.R16: Observation of Sea Ice Properties
Room 16
TH3.R17: Bistatic SAR: Systems and Algorithms I
Room 17
TH3.R18: Remote Sensing of Aerosols
Room 18
Thu, 20 Jul, 14:15 - 15:15 Pacific Time (UTC -7)
TIE
Proposal Writing – Tips and Tricks
Thu, 20 Jul, 14:15 - 15:45 Pacific Time (UTC -7)
THP.P1: SAR Interferometry: Methods and Techniques III
Poster Area 1
THP.P2: SAR Interferometry: Methods and Applications
Poster Area 2
THP.P3: PolSAR and PolInSAR: Methods and Applications I
Poster Area 3
THP.P4: PolSAR and PolInSAR: Methods and Applications II
Poster Area 4
THP.P5: PolSAR and PolInSAR: Methods and Applications III
Poster Area 5
THP.P6: Bistatic SAR: Systems and Algorithms III
Poster Area 6
THP.P7: Bistatic SAR: Systems and Algorithms IV
Poster Area 7
THP.P8: Sub-surface sensing: Methods and Applications II
Poster Area 8
THP.P9: Machine Learning for Optical Data Analysis I
Poster Area 9
THP.P10: Machine Learning for Optical Data Analysis II
Poster Area 10
THP.P11: Hyperspectral Imaging Denoising and Restoration
Poster Area 11
THP.P12: Target detection and Super-resolution
Poster Area 12
THP.P13: Feature Extraction using Hyperspectral Imaging
Poster Area 13
THP.P14: Different Approaches with SAR, Multispectral Hyperspectral Data
Poster Area 14
THP.P15: Data Management Systems and Computing Platforms in Remote Sensing II
Poster Area 15
THP.P16: Wildfire Detection and Mapping
Poster Area 16
THP.P17: Crop Monitoring with Active Microwave Sensors
Poster Area 17
THP.P18: Crop Monitoring with Optical Sensors
Poster Area 18
THP.P19: Crop Properties and Phenology II
Poster Area 19
THP.P20: Agricultural Classification and Mapping II
Poster Area 20
THP.P21: Agricultural Yield Estimation and Prediction II
Poster Area 21
THP.P22: Remote Sensing for Crop Health II
Poster Area 22
THP.P23: Remote Sensing of Crop and Soil Water
Poster Area 23
THP.P24: New Space Missions III
Poster Area 24
THP.P25: Optical Imager Calibration and Applications
Poster Area 25
THP.P26: Passive Optical Multi- and Hyperspectral Sensors and Calibration II
Poster Area 26
THP.P27: Advanced Future Instrument Concepts II
Poster Area 27
THP.P28: SAR Calibration and Techniques II
Poster Area 28
THP.P29: Education and Policy: Education and Remote Sensing II
Poster Area 29
THP.P30: Multi-Sensor Approach for Sea Ice
Poster Area 30
THP.P31: Active and Passive Remote Sensing of Sea Ice
Poster Area 31
THP.P32: Monitoring Ice Sheets and Glaciers Poster II
Poster Area 32
THP.P33: Monitoring Ice Sheets and Glaciers I
Poster Area 33
THP.P34: PM2.5, Smoke, and Dust
Poster Area 34
THP.P35: Aerosols, AOD, and Trace Gases
Poster Area 35
Thu, 20 Jul, 15:45 - 17:00 Pacific Time (UTC -7)
TH4.R1: Novel Object Detection Methods for SAR
Room 1
TH4.R2: Hyperspectral Target detection
Room 2
TH4.R3: Passive Optical Multi- and Hyperspectral Sensors and Calibration I
Room 3
TH4.R4: Compact-Polarimetry Image analysis
Room 4
TH4.R5: New Space Missions II
Room 5
CCS
TH4.R6: PRISMA Hyperspectral Data Exploitation III
Room 6
CCS
TH4.R7: Large-scale Forest Aboveground Biomass and Height Mapping with the Combination of Spaceborne Radar and Lidar/Optical Sensors I
Room 7
TH4.R8: Remote Sensing for Crop Health I
Room 8
TH4.R9: Education and Policy: Education and Remote Sensing I
Room 9
CCS
TH4.R10: AI-based Methods for EO Data Compression
Room 10
CCS
TH4.R11: Physics Informed Artificial Intelligence for Synthetic Aperture Radar Applications I
Room 11
CCS
TH4.R12: Remote Sensing for Renewable Energy II
Room 12
CCS
TH4.R13: Artificial Intelligence for Radar and Satellite Remote Sensing of Precipitation
Room 13
CCS
TH4.R14: InSAR-Based Applications for the Resilience of Urban Areas and Infrastructures to Natural and Anthropogenic Hazards II
Room 14
CCS
TH4.R15: Remote Sensing of Marine Pollution and Harmful Algal Blooms II
Room 15
TH4.R16: Sea Ice Observations
Room 16
TH4.R17: Bistatic SAR: Systems and Algorithms II
Room 17
CCS
TH4.R18: Advanced Characterization of Biomass Burning Smoke and Mineral Dust Aerosols
Room 18
Friday, July 21
Fri, 21 Jul, 08:30 - 09:45 Pacific Time (UTC -7)
FR1.R1: Innovative Models for Static and Moving Objects
Room 1
FR1.R2: Hyperspectral Imaging Unmixing and clustering
Room 2
FR1.R3: Novel SAR Instruments and Processing Techniques I
Room 3
FR1.R4: Multisource Classification and Detection
Room 4
CCS
FR1.R5: ALOS Series Mission, Cal/Val, and Applications I
Room 5
CCS
FR1.R6: The Age of AI and Edge Computing in Space Has Come I
Room 6
CCS
FR1.R7: Large-scale Forest Aboveground Biomass and Height Mapping with the Combination of Spaceborne Radar and Lidar/Optical Sensors II
Room 7
FR1.R8: Climate Change and Urban Environment
Room 8
CCS
FR1.R9: UAV/Mobile-Mapping SAR Systems and Applications I
Room 9
FR1.R10: Label-efficient Learning for Earth Observation
Room 10
CCS
FR1.R11: Physics Informed Artificial Intelligence for Synthetic Aperture Radar Applications II
Room 11
CCS
FR1.R12: Responsible AI4EO I: Impact and Ethics
Room 12
CCS
FR1.R13: Ushering a New Era of Spaceborne Hyperspectral Sensors to Propel Gigantic Leap in the Earth Remote Sensing I
Room 13
CCS
FR1.R14: Remote Sensing Data Applied to Mineral Deposits: A New Era for Critical Raw Material Deposits Studies
Room 14
FR1.R15: Risk and Disaster Management I
Room 15
CCS
FR1.R16: Advanced Observations of Sea Ice by Satellite SAR in a Changing Climate
Room 16
FR1.R17: Differential SAR Interferometry: Methods and Techniques I
Room 17
CCS
FR1.R18: The Role of Remote Sensing for Understanding Greenhouse Emissions, Global Stocktake, and Air Pollution I
Room 18
Fri, 21 Jul, 09:30 - 12:00 Pacific Time (UTC -7)
Technical Tour: NASA's Jet Propulsion Laboratory
Fri, 21 Jul, 10:15 - 11:30 Pacific Time (UTC -7)
FR2.R1: Few-Shot and Zero-Shot Learning
Room 1
FR2.R2: Hyperspectral Image Classification
Room 2
CCS
FR2.R3: Quantum Rydberg Radars
Room 3
FR2.R4: Remote Sensing and Modeling for ET, Drought, and Soil Moisture
Room 4
CCS
FR2.R5: ALOS Series Mission, Cal/Val, and Applications II
Room 5
CCS
FR2.R6: The Age of AI and Edge Computing in Space Has Come II
Room 6
CCS
FR2.R7: Mapping Global Croplands for Food and Water Security in the Twenty-First Century using Big-Data Analytics, Machine Learning, and Cloud Computing
Room 7
FR2.R8: Urban Applications of Geospatial technology
Room 8
CCS
FR2.R9: UAV/Mobile-Mapping SAR Systems and Applications II
Room 9
FR2.R10: Probabilistic Models, Uncertainty, and Explainability
Room 10
CCS
FR2.R11: Large AI Models for EO
Room 11
CCS
FR2.R12: Responsible AI4EO II: Technical Methods
Room 12
CCS
FR2.R13: Ushering a New Era of Spaceborne Hyperspectral Sensors to Propel Gigantic Leap in the Earth Remote Sensing II
Room 13
FR2.R14: Remote Sensing of Water Level
Room 14
FR2.R15: Risk and Disaster Management II
Room 15
FR2.R16: Permafrost Observations
Room 16
FR2.R17: Differential SAR Interferometry: Methods and Techniques II
Room 17
CCS
FR2.R18: The Role of Remote Sensing for Understanding Greenhouse Emissions, Global Stocktake, and Air Pollution II
Room 18
Fri, 21 Jul, 13:00 - 14:15 Pacific Time (UTC -7)
FR3.R1: Semantic Segmentation of PolSAR Images
Room 1
FR3.R2: Hyperspectral Imaging Cross-domain and Adaptation
Room 2
FR3.R3: Spatiotemporal Analysis
Room 3
FR3.R4: Spaceborne LiDAR Missions I
Room 4
CCS
FR3.R5: From Need to Product: Recent Advances in Mapping and Validation of Vegetation Biophysical Parameters at Regional to Global Extents I
Room 5
FR3.R6: Ground Based Sensors, Calibration, and Measurements
Room 6
CCS
FR3.R7: Synergistic Use of Remote Sensing, IoT, and AI in Agriculture I
Room 7
FR3.R8: Urban Remotely Sensed Data Analytics
Room 8
FR3.R9: New Development in UAV-Based Systems
Room 9
CCS
FR3.R10: Geophysical Data Analysis and Inversion in the Era of Artificial Intelligence I
Room 10
CCS
FR3.R11: SAR Advanced Applications Based on Deep Learning: Urban, Land and Water Applications I
Room 11
FR3.R12: Remote Sensing for Sustainable Development I
Room 12
CCS
FR3.R13: Rare Target Detection in Spectral Imagery I
Room 13
FR3.R14: Satellite Remote Sensing for Water Monitoring
Room 14
FR3.R15: Citizen and Open Science I
Room 15
CCS
FR3.R16: Cryosphere Hazards in the HKH in the Wake of Climate Change
Room 16
FR3.R17: Differential SAR Interferometry: Methods and Applications
Room 17
Fri, 21 Jul, 13:00 - 15:30 Pacific Time (UTC -7)
Technical Tour: NASA's Jet Propulsion Laboratory
Fri, 21 Jul, 14:15 - 15:45 Pacific Time (UTC -7)
FRP.P1: Differential SAR Interferometry: Applications I
Poster Area 1
FRP.P2: Differential SAR Interferometry: Applications II
Poster Area 2
FRP.P3: Differential SAR Interferometry: Methods and Techniques III
Poster Area 3
FRP.P4: Differential SAR Interferometry: Methods and Techniques IV
Poster Area 4
FRP.P5: Multi-Channel DBF Imaging Techniques: Methods and Applications I
Poster Area 5
FRP.P6: Multi-Channel DBF Imaging Techniques: Methods and Applications II
Poster Area 6
FRP.P7: Target Recognition and Classification with Radar Data
Poster Area 7
FRP.P8: Hyperspectral Unmixing
Poster Area 8
FRP.P9: Ecology using Hyperspectral Imaging
Poster Area 9
FRP.P10: Environmental and Geological applications of Hyperspectral Imaging
Poster Area 10
FRP.P11: Hyperspectral Imaging Classification I
Poster Area 11
FRP.P12: Hyperspectral Imaging Classification II
Poster Area 12
FRP.P13: Remote Sensing for Urban Climate
Poster Area 13
FRP.P14: Remote Sensing for Urban Mapping
Poster Area 14
FRP.P15: Urban Environmental Mapping
Poster Area 15
FRP.P16: Urban Remote Sensing
Poster Area 16
FRP.P17: Mining Exploration and Environmental Impact Assessment
Poster Area 17
FRP.P18: Remote Sensing for Detection and Extraction of Inland Waters
Poster Area 18
FRP.P19: Remote Sensing of Water Quality
Poster Area 19
FRP.P20: Remote Sensing for Water Storage and Temperature in Inland Waters
Poster Area 20
FRP.P21: Spaceborne LiDAR Missions II
Poster Area 21
FRP.P22: UAV and Airborne Platforms Algorithms and Analysis
Poster Area 22
FRP.P23: UAV and Airborne Systems
Poster Area 23
FRP.P24: Ground Based Sensors and Systems
Poster Area 24
FRP.P25: Novel SAR Instruments and Processing Techniques II
Poster Area 25
FRP.P26: Citizen and Open Science II
Poster Area 26
FRP.P27: Risk and Disaster Management III
Poster Area 27
FRP.P28: Risk and Disaster Management IV
Poster Area 28
FRP.P29: Risk and Disaster Management V
Poster Area 29
FRP.P30: Risk and Disaster Management VI
Poster Area 30
FRP.P31: Risk and Disaster Management VII
Poster Area 31
FRP.P32: Remote Sensing for Sustainable Development IV
Poster Area 32
FRP.P33: Ocean Altimetry
Poster Area 33
FRP.P34: Monitoring Freeze/Thaw Status
Poster Area 34
FRP.P35: Ionospheric Remote Sensing
Poster Area 35
Fri, 21 Jul, 15:45 - 17:00 Pacific Time (UTC -7)
FR4.R1: Transfer Learning and Domain Adaptation
Room 1
FR4.R2: Hydrocarbon and Ecology using Hyperspectral Imaging
Room 2
FR4.R3: Multi-Channel DBF Imaging Techniques
Room 3
FR4.R4: Remote Sensing for High Resolution Soil Moisture
Room 4
CCS
FR4.R5: From Need to Product: Recent Advances in Mapping and Validation of Vegetation Biophysical Parameters at Regional to Global Extents II
Room 5
CCS
FR4.R6: Terrestrial Radar/SAR Systems and Applications
Room 6
CCS
FR4.R7: Synergistic Use of Remote Sensing, IoT, and AI in Agriculture II
Room 7
FR4.R8: Land Deformation Monitoring
Room 8
FR4.R9: UAV Applications
Room 9
CCS
FR4.R10: Geophysical Data Analysis and Inversion in the Era of Artificial Intelligence II
Room 10
CCS
FR4.R11: SAR Advanced Applications Based on Deep Learning: Urban, Land and Water Applications II
Room 11
CCS
FR4.R12: Honoring Dr. Yuriy Shkvarko: Trends and Advances of Remote Sensing Research in Mexico
Room 12
CCS
FR4.R13: Rare Target Detection in Spectral Imagery II
Room 13
CCS
FR4.R14: Hydrological Information Acquisition and Analysis Based on Remote Sensing
Room 14