|
Mon, 28 Sep, 14:30 - 16:30 UTC
Mon, 28 Sep, 22:30 - 00:30 China Standard Time (UTC +8)
Mon, 28 Sep, 16:30 - 18:30 Central Europe Time (UTC +2)
Mon, 28 Sep, 07:30 - 09:30 Pacific Daylight Time (UTC -7)
|
|
MO2.R1: Land Use Applications I |
Room 1
|
Invited
MO2.R2: Advanced Flood Monitoring and Prediction for Disaster Risk Reduction and Resilient Infrastructure |
Room 2
|
MO2.R3: SAR Interferometry I |
Room 3
|
Invited
MO2.R4: International Spaceborne Imaging Spectroscopy Missions: Updates and News |
Room 4
|
MO2.R5: Hyperspectral Image Classification I |
Room 5
|
MO2.R6: SAR Tomography |
Room 6
|
Invited
MO2.R7: Global Satellite Capability is Key to Effective Response to All Scales of Natural Disasters |
Room 7
|
MO2.R8: Ocean Biology, Temperature and Salinity |
Room 8
|
MO2.R9: RS of Snow and Frozen Ground |
Room 9
|
MO2.R10: Remote Sensing for Forest and Vegetation Structure |
Room 10
|
MO2.R11: Remote Sensing for Crop Monitoring, Mapping and Classification I |
Room 11
|
MO2.R12: Urban Remote Sensing I |
Room 12
|
MO2.R13: Recent Advances in GNSS Reflectometry |
Room 13
|
MO2.R14: Time Series Analysis |
Room 14
|
MO2.R15: POLSAR / POLINSAR: Applications & Analysis |
Room 15
|
MO2.R16: Image and Data Fusion I |
Room 16
|
MO2.R17: Detection of Small Static and Moving Objects |
Room 17
|
MO2.R18: Change Detection in SAR Images |
Room 18
|
MO2.R19: Electromagnetic Scattering |
Room 19
|
|
Tue, 29 Sep, 12:00 - 14:00 UTC
Tue, 29 Sep, 20:00 - 22:00 China Standard Time (UTC +8)
Tue, 29 Sep, 14:00 - 16:00 Central Europe Time (UTC +2)
Tue, 29 Sep, 05:00 - 07:00 Pacific Daylight Time (UTC -7)
|
|
TU1.R1: Land Use Applications II |
Room 1
|
TU1.R2: Monitoring and Damage Assessment of Natural Disasters I |
Room 2
|
TU1.R3: SAR Interferometry II |
Room 3
|
TU1.R4: Novel Active and Passive Microwave Satellite Missions |
Room 4
|
TU1.R5: 3D Terrain Mapping / Tomographic Imaging of Forest and Ionosphere |
Room 5
|
TU1.R6: Advanced Learning Methods for Hyperspectral Classification |
Room 6
|
TU1.R7: Learning and Transformation for Image Classification |
Room 7
|
TU1.R8: Ocean Surface Winds and Currents I |
Room 8
|
TU1.R9: Ice Sheets and Glaciers |
Room 9
|
TU1.R10: GeoAI and Machine Learning for GIScience |
Room 10
|
TU1.R11: Data Fusion: Optical |
Room 11
|
TU1.R12: Change Detection in Optical Images |
Room 12
|
TU1.R13: Monitoring and Preservation of Natural Reserves and Coastal Areas |
Room 13
|
TU1.R14: Passive Optical, Hyperspectral Sensors and Calibration I |
Room 14
|
TU1.R15: Remote Sensing Parameters and Models for Radiation Energy Budget |
Room 15
|
TU1.R16: POLSAR Analytic Techniques |
Room 16
|
TU1.R17: Machine Learning for Earth Observation I |
Room 17
|
TU1.R18: Target Detection using SAR Data |
Room 18
|
TU1.R19: Clouds and Numerical Weather Prediction |
Room 19
|
TU1.R20: Student Paper Contest Finalists I |
Room 20
|
|
Tue, 29 Sep, 14:30 - 16:30 UTC
Tue, 29 Sep, 22:30 - 00:30 China Standard Time (UTC +8)
Tue, 29 Sep, 16:30 - 18:30 Central Europe Time (UTC +2)
Tue, 29 Sep, 07:30 - 09:30 Pacific Daylight Time (UTC -7)
|
|
Invited
TU2.R1: NASA Soil Moisture Active Passive Mission Extended Phase Observations and Results |
Room 1
|
TU2.R2: Monitoring and Damage Assessment of Natural Disasters II |
Room 2
|
TU2.R3: Differential SAR Interferometry I |
Room 3
|
TU2.R4: Optical Satellite Missions I |
Room 4
|
TU2.R5: Hyperspectral Image Classification II |
Room 5
|
Invited
TU2.R6: IEEE GRSS Data Fusion Contest |
Room 6
|
TU2.R7: Spatial Analysis, Modeling and Computing for GIScience |
Room 7
|
TU2.R8: Ocean Surface Winds and Currents II |
Room 8
|
TU2.R9: Sea Ice I |
Room 9
|
TU2.R10: Remote Sensing for Forest and Vegetation Structure, Health and Growth I |
Room 10
|
TU2.R11: Remote Sensing for Crop Parameters I |
Room 11
|
TU2.R12: Multispectral Urban Remote Sensing |
Room 12
|
Invited
TU2.R13: Advances in Reflectometry with GNSS and Signals of Opportunity (GNSS+R) |
Room 13
|
Invited
TU2.R14: Advancements in the Open Data Cube and Analysis Ready Data |
Room 14
|
Invited
TU2.R15: TanDEM-X Mission Status and Science Activities |
Room 15
|
TU2.R16: Processing and Imaging Techniques I |
Room 16
|
Invited
TU2.R17: Physical Modeling in Microwave and Optical Remote Sensing |
Room 17
|
TU2.R18: Detection and Segmentation using Very High Resolution Imaging |
Room 18
|
TU2.R19: Clouds and Precipitation I |
Room 19
|
TU2.R20: Student Paper Contest Finalists II |
Room 20
|
|
Wed, 30 Sep, 12:00 - 14:00 UTC
Wed, 30 Sep, 20:00 - 22:00 China Standard Time (UTC +8)
Wed, 30 Sep, 14:00 - 16:00 Central Europe Time (UTC +2)
Wed, 30 Sep, 05:00 - 07:00 Pacific Daylight Time (UTC -7)
|
|
WE1.R1: Soil Moisture I |
Room 1
|
WE1.R2: Monitoring and Damage Assessment of Natural Disasters III |
Room 2
|
WE1.R3: Differential SAR Interferometry II |
Room 3
|
WE1.R4: Lidar Science and Technology |
Room 4
|
WE1.R5: Advanced Clustering Methods for Remote Sensing Data I |
Room 5
|
WE1.R6: Model Inversion and Parameter Estimation |
Room 6
|
WE1.R7: Optical Satellite Missions II |
Room 7
|
WE1.R8: Coastal Zone |
Room 8
|
WE1.R9: Sea Ice II and Permafrost |
Room 9
|
WE1.R10: Remote Sensing for Forest and Vegetation Classification, Growth, and Dynamics |
Room 10
|
WE1.R11: Remote Sensing for Crop Monitoring, Mapping and Classification II |
Room 11
|
WE1.R12: SAR Instruments and Calibration |
Room 12
|
WE1.R13: Recent Advances in GNSS-Reflectometry: Calibration, Coherent/Incoherent Scattering, and Land Applications |
Room 13
|
WE1.R14: Data Management and Systems I |
Room 14
|
WE1.R15: Passive Optical, Hyperspectral Sensors and Calibration II |
Room 15
|
WE1.R16: Processing and Imaging Techniques II |
Room 16
|
WE1.R17: Detection and Classification in Urban Environment |
Room 17
|
WE1.R18: Vessels Detection using Remote Sensing Data |
Room 18
|
WE1.R19: Clouds and Precipitation II |
Room 19
|
WE1.R20: Processing Schemes for Hyperspectral Imaging |
Room 20
|
|
Wed, 30 Sep, 14:30 - 16:30 UTC
Wed, 30 Sep, 22:30 - 00:30 China Standard Time (UTC +8)
Wed, 30 Sep, 16:30 - 18:30 Central Europe Time (UTC +2)
Wed, 30 Sep, 07:30 - 09:30 Pacific Daylight Time (UTC -7)
|
|
WE2.R1: Soil Moisture Related Applications |
Room 1
|
WE2.R2: Monitoring and Damage Assessment of Natural Disasters IV |
Room 2
|
WE2.R3: Spatial and Temporal Interpolation Approaches and Applications |
Room 3
|
Invited
WE2.R4: Space Lidar: Missions, Technologies and Observations |
Room 4
|
WE2.R5: Advanced Clustering Methods for Remote Sensing Data II |
Room 5
|
WE2.R6: Ground Penetrating Radar |
Room 6
|
Invited
WE2.R7: Incorporating Physics into Deep Learning |
Room 7
|
Invited
WE2.R8: Remote Sensing Measurements of Small Scale and Submesoscale Processes in the Ocean |
Room 8
|
WE2.R9: Adaptive Segmentation and Optimization |
Room 9
|
WE2.R10: Remote Sensing for Forest and Vegetation Structure, Health and Growth II |
Room 10
|
WE2.R11: Remote Sensing for Crop Monitoring, Mapping and Classification III |
Room 11
|
WE2.R12: Advances in Regression, Super-resolution and Denoising |
Room 12
|
WE2.R13: Recent Advances in GNSS-Reflectometry: Cryospheric Applications and Novel Techniques |
Room 13
|
WE2.R14: Data Management and Education I |
Room 14
|
Invited
WE2.R15: KOMPSAT and New Space SAR Instruments and Constellations |
Room 15
|
WE2.R16: Processing and Imaging Techniques III |
Room 16
|
WE2.R17: UAV and Airborne Platforms Applications I |
Room 17
|
WE2.R18: Deep and Semantic Learning for Object Detection |
Room 18
|
Invited
WE2.R19: Global Precipitation Measurement Mission with Emphasis on Coastal Observations |
Room 19
|
|
Thu, 01 Oct, 12:00 - 14:00 UTC
Thu, 01 Oct, 20:00 - 22:00 China Standard Time (UTC +8)
Thu, 01 Oct, 14:00 - 16:00 Central Europe Time (UTC +2)
Thu, 01 Oct, 05:00 - 07:00 Pacific Daylight Time (UTC -7)
|
|
TH1.R1: Soil Moisture II |
Room 1
|
TH1.R2: Adaptive and Neural Methods for Object Recognition |
Room 2
|
TH1.R3: Feature Reduction by Neural and/or Spatial Characterization I |
Room 3
|
TH1.R4: Wetlands and Inland Waters I |
Room 4
|
TH1.R5: Classification Methods for SAR Data |
Room 5
|
TH1.R6: Land Cover Dynamics I |
Room 6
|
TH1.R7: Target Detection II |
Room 7
|
TH1.R8: Ocean Surface Winds and Currents III |
Room 8
|
TH1.R9: Semantic Learning for Image Analysis |
Room 9
|
TH1.R10: Remote Sensing for Forest and Vegetation Growth and Dynamics |
Room 10
|
TH1.R11: Remote Sensing for Crop Monitoring, Mapping and Classification IV |
Room 11
|
TH1.R12: Regression and Estimation Methods and Applications |
Room 12
|
TH1.R13: Microwave Radiometer Calibration and RFI I |
Room 13
|
TH1.R14: Data Management and Education II |
Room 14
|
TH1.R15: Passive Optical, Hyperspectral Sensors and Calibration III |
Room 15
|
TH1.R16: Spaceborne Imaging Techniques |
Room 16
|
TH1.R17: Learning and Adaptive Methods for Image Clustering |
Room 17
|
TH1.R18: Analysis of Multitemporal Images |
Room 18
|
TH1.R19: Atmospheric Sounding: Missions, Technology, Methods and Applications |
Room 19
|
|
Thu, 01 Oct, 14:30 - 16:30 UTC
Thu, 01 Oct, 22:30 - 00:30 China Standard Time (UTC +8)
Thu, 01 Oct, 16:30 - 18:30 Central Europe Time (UTC +2)
Thu, 01 Oct, 07:30 - 09:30 Pacific Daylight Time (UTC -7)
|
|
TH2.R1: Soil Properties |
Room 1
|
Invited
TH2.R2: Analytic Center Frameworks for Monitoring and Assessing Disasters at Diverse Spatiotemporal Scales |
Room 2
|
TH2.R3: Feature Reduction by Neural and/or Spatial Characterization II |
Room 3
|
Invited
TH2.R4: Next Generation of LEO/GEO Microwave and Infrared Sounders |
Room 4
|
TH2.R5: Data Fusion: SAR and Optical |
Room 5
|
TH2.R6: Land Cover Dynamics II |
Room 6
|
Invited
TH2.R7: Integrating Physical Models into Machine Learning (ML) Models |
Room 7
|
TH2.R8: Ocean Altimetry |
Room 8
|
TH2.R9: Airborne/Ground-base and Processing Imaging Techniques |
Room 9
|
TH2.R10: Remote Sensing Methods for Forest and Vegetation Properties |
Room 10
|
Invited
TH2.R11: Envisioning the Role of Remote Sensing in Agriculture in 2030 |
Room 11
|
Invited
TH2.R12: Advanced Remote Sensing Data Analysis for Sustainable Development |
Room 12
|
Invited
TH2.R13: Radio Frequency Interference (RFI) in Microwave Remote Sensing |
Room 13
|
TH2.R14: Data Management and Systems II |
Room 14
|
Invited
TH2.R15: ALOS-2/-4 |
Room 15
|
Invited
TH2.R16: Remote Sensing in the Energy Industry: A Tool to Monitor Environmental Footprints and Reduce Risks |
Room 16
|
Invited
TH2.R17: Global Sensing through New Observing Strategies for Local Solutions |
Room 17
|
TH2.R18: Hyperspectral Unmixing |
Room 18
|
TH2.R19: Satellite Remote Sensing of Atmospheric Composition: Algorithms, Applications, and Process Studies I |
Room 19
|
TH2.R20: Detection of Objects in Complex Environments |
Room 20
|
|
Fri, 02 Oct, 12:00 - 14:00 UTC
Fri, 02 Oct, 20:00 - 22:00 China Standard Time (UTC +8)
Fri, 02 Oct, 14:00 - 16:00 Central Europe Time (UTC +2)
Fri, 02 Oct, 05:00 - 07:00 Pacific Daylight Time (UTC -7)
|
|
FR1.R1: Soils and Hydrology |
Room 1
|
FR1.R2: Machine Learning for Earth Observation II |
Room 2
|
Invited
FR1.R3: SAR Polarimetry: Theory and Applications |
Room 3
|
FR1.R4: Wetlands and Inland Waters II |
Room 4
|
FR1.R5: Networks and Time Series Methods for Remote Sensing |
Room 5
|
FR1.R6: Image and Data Fusion II |
Room 6
|
Invited
FR1.R7: Data Fusion: The AI Era |
Room 7
|
FR1.R8: Ocean Biology, Temperature and Salinity, Altimetry and Coastal Zone |
Room 8
|
FR1.R9: Processing and Imaging Techniques IV |
Room 9
|
FR1.R10: Topography, Geology and Geomorphology I |
Room 10
|
FR1.R11: Remote Sensing for Crop Parameters II |
Room 11
|
FR1.R12: Unmixing and Anomaly Detection |
Room 12
|
FR1.R13: Microwave Radiometer Calibration and RFI II |
Room 13
|
FR1.R14: Target Detection and Localization |
Room 14
|
FR1.R15: UAV and Airborne Platforms Applications II |
Room 15
|
FR1.R16: Processing and Imaging Techniques V |
Room 16
|
FR1.R17: Machine Learning for Multitemporal Image Analysis |
Room 17
|
FR1.R18: Network Based Classifier |
Room 18
|
FR1.R19: Satellite Remote Sensing of Atmospheric Composition: Algorithms, Applications, and Process Studies II |
Room 19
|
|
Fri, 02 Oct, 14:30 - 16:30 UTC
Fri, 02 Oct, 22:30 - 00:30 China Standard Time (UTC +8)
Fri, 02 Oct, 16:30 - 18:30 Central Europe Time (UTC +2)
Fri, 02 Oct, 07:30 - 09:30 Pacific Daylight Time (UTC -7)
|
|
Invited
FR2.R1: Hydrologic Remote Sensing, Modeling and Data Assimilation |
Room 1
|
FR2.R2: Machine Learning and Artificial Intelligence for Remote Sensing |
Room 2
|
FR2.R3: Object Detection and Segmentation |
Room 3
|
Invited
FR2.R4: New Algorithms for NewSpace: Detecting Difficult Targets |
Room 4
|
FR2.R5: Data Fusion: Hyperspectral and Lidar |
Room 5
|
FR2.R6: Advanced Processing Tools for Feature Extraction and Reductions |
Room 6
|
Invited
FR2.R7: Deep Learning Meets Earth Sciences: From Hybrid Modeling to Explainability |
Room 7
|
Invited
FR2.R8: Marine Coastal Processes monitored by SAR |
Room 8
|
FR2.R9: Classification Methods |
Room 9
|
FR2.R10: Topography, Geology and Geomorphology II |
Room 10
|
FR2.R11: Remote Sensing for Crop Parameters III |
Room 11
|
FR2.R12: Target Detection I |
Room 12
|
FR2.R13: Microwave Radiometer Instrumentation and Data Analysis |
Room 13
|
Invited
FR2.R14: Remote Sensing for Mineral and Oil & Gas Exploration and Production |
Room 14
|
Invited
FR2.R15: Copernicus C- and L- band SAR Missions: Status, Evolution and Contribution to Monitoring of Geohazards, Natural Disasters and Cryosphere Dynamics |
Room 15
|
FR2.R16: Enhancement Methods for Image Analysis |
Room 16
|
FR2.R17: Bistatic and Digital Beamforming SAR |
Room 17
|
FR2.R18: Analysis of Satellite Images Time Series |
Room 18
|
FR2.R19: Satellite Remote Sensing of Atmospheric Composition: Algorithms, Applications, and Process Studies III |
Room 19
|