IEEE IGARSS 2020
2020 Technical Conferences List
Note if you see:
- The television icon (📺) it’s linking to a video on YouTube or another cdn.
- Globe icon (🌐) is a lander or other general info page.
- If you see the Newspaper (📰) it’s a link to technical papers.
- The hammer and wrench (🛠️) indicate a workshop or tutorial.
-
And if you see a Calendar (📅) is a link to an event schedule page.
1
Visible Infrared Imagining Radiometer Suite (VIIRS)
Moderate Resolution Imaging Spectroradiometer (MODIS)
2 📺 MO2.R4.1: NASA’S SURFACE BIOLOGY AND GEOLOGY CONCEPT STUDY: STATUS AND NEXT STEPS
NASA Surface Biology and Geology Study
3
📺 MO2.R4.6: CLARREO PATHFINDER: MISSION OVERVIEW AND CURRENT STATUS
satellites using push broom scanning method
[NOASS Joint Polar Satellite System - JPSS])(https://www.jpss.noaa.gov/)
Space Science and Engineering Center University of Wisconsin-Madison
5 📺 MO2.R7.2: NOAA SATELLITES: PROVIDING CRITICAL GLOBAL DATA FOR LOCAL ENVIRONMENTAL CHALLENGES
GOES-16 ABI and VIIRS - Northern California ‘Camp’ fire detection
6 📺 MO2.R7.3: USING SATELLITE CAPABILITIES TO HANDLE THE PACIFIC’S STRONGEST TYPHOONS
Dvorak technique to establish tropical storm intensity
US Navy Role in Wild Fires Concerns within littoral region Dry thunderstorm produce: Haboobs, huge wind from outflow regions, aviation hazards due to smoke and dust, wild fire production and development including intensive Pyro-cumulonimbus (PyroCbs)
NOAA Unique Combined Atmospheric Processing System (NUCAPS)
📺 MO2.R10: Remote Sensing for Forest and Vegetation Structure
📺 MO2.R11: Remote Sensing for Crop Monitoring, Mapping and Classification I
📺 MO2.R12: Urban Remote Sensing I
📺 MO2.R13: Recent Advances in GNSS Reflectometry
📺 MO2.R14: Time Series Analysis
📺 MO2.R15: POLSAR / POLINSAR: Applications & Analysis
📺 MO2.R16: Image and Data Fusion I
📺 MO2.R17: Detection of Small Static and Moving Objects
📺 MO2.R18: Change Detection in SAR Images
📺 MO2.R19: Electromagnetic Scattering
Tuesday
📺 TU1.R1: Land Use Applications II
📺 TU1.R2: Monitoring and Damage Assessment of Natural Disasters I
📺 TU1.R3: SAR Interferometry II
📺 TU1.R4: Novel Active and Passive Microwave Satellite Missions
📺 TU1.R5: 3D Terrain Mapping / Tomographic Imaging of Forest and Ionosphere
📺 TU1.R6: Advanced Learning Methods for Hyperspectral Classification
📺 TU1.R7: Learning and Transformation for Image Classification
📺 TU1.R8: Ocean Surface Winds and Currents I
📺 TU1.R9: Ice Sheets and Glaciers
📺 TU1.R10: GeoAI and Machine Learning for GIScience
📺 TU1.R11: Data Fusion: Optical
📺 TU1.R12: Change Detection in Optical Images
📺 TU1.R13: Monitoring and Preservation of Natural Reserves and Coastal Areas
📺 TU1.R14: Passive Optical, Hyperspectral Sensors and Calibration I
📺 TU1.R15: Remote Sensing Parameters and Models for Radiation Energy Budget
📺 TU1.R16: POLSAR Analytic Techniques
📺 TU1.R17: Machine Learning for Earth Observation I
📺 TU1.R18: Target Detection using SAR Data
📺 TU1.R19: Clouds and Numerical Weather Prediction
📺 TU1.R20: Student Paper Contest Finalists I
📺 TU2.R1: NASA Soil Moisture Active Passive Mission Extended Phase Observations and Results
📺 TU2.R2: Monitoring and Damage Assessment of Natural Disasters II
📺 TU2.R3: Differential SAR Interferometry I
📺 TU2.R4: Optical Satellite Missions I
📺 TU2.R5: Hyperspectral Image Classification II
📺 TU2.R6: IEEE GRSS Data Fusion Contest
📺 TU2.R7: Spatial Analysis, Modeling and Computing for GIScience
📺 TU2.R8: Ocean Surface Winds and Currents II
📺 TU2.R10: Remote Sensing for Forest and Vegetation Structure, Health and Growth I
📺 TU2.R11: Remote Sensing for Crop Parameters I
📺 TU2.R12: Multispectral Urban Remote Sensing
📺 TU2.R13: Advances in Reflectometry with GNSS and Signals of Opportunity (GNSS+R)
📺 TU2.R14: Advancements in the Open Data Cube and Analysis Ready Data
📺 TU2.R15: TanDEM-X Mission Status and Science Activities
📺 TU2.R16: Processing and Imaging Techniques I
📺 TU2.R17: Physical Modeling in Microwave and Optical Remote Sensing
📺 TU2.R18: Detection and Segmentation using Very High Resolution Imaging
📺 TU2.R19: Clouds and Precipitation I
📺 TU2.R20: Student Paper Contest Finalists II
upcoming
📺 WE1.R2: Monitoring and Damage Assessment of Natural Disasters III
📺 WE1.R3: Differential SAR Interferometry II
📺 WE1.R4: Lidar Science and Technology
📺 WE1.R5: Advanced Clustering Methods for Remote Sensing Data I
📺 WE1.R6: Model Inversion and Parameter Estimation
📺 WE1.R7: Optical Satellite Missions II
📺 WE1.R9: Sea Ice II and Permafrost
📺 WE1.R10: Remote Sensing for Forest and Vegetation Classification, Growth, and Dynamics
📺 WE1.R11: Remote Sensing for Crop Monitoring, Mapping and Classification II
📺 WE1.R12: SAR Instruments and Calibration
📺 WE1.R14: Data Management and Systems I
📺 WE1.R15: Passive Optical, Hyperspectral Sensors and Calibration II
📺 WE1.R16: Processing and Imaging Techniques II
📺 WE1.R17: Detection and Classification in Urban Environment
📺 WE1.R18: Vessels Detection using Remote Sensing Data
📺 WE1.R19: Clouds and Precipitation II
📺 WE1.R20: Processing Schemes for Hyperspectral Imaging
📺 WE2.R1: Soil Moisture Related Applications
📺 WE2.R2: Monitoring and Damage Assessment of Natural Disasters IV
📺 WE2.R3: Spatial and Temporal Interpolation Approaches and Applications
📺 WE2.R4: Space Lidar: Missions, Technologies and Observations
📺 WE2.R5: Advanced Clustering Methods for Remote Sensing Data II
📺 WE2.R6: Ground Penetrating Radar
📺 WE2.R7: Incorporating Physics into Deep Learning
📺 WE2.R8: Remote Sensing Measurements of Small Scale and Submesoscale Processes in the Ocean
📺 WE2.R9: Adaptive Segmentation and Optimization
📺 WE2.R10: Remote Sensing for Forest and Vegetation Structure, Health and Growth II
📺 WE2.R11: Remote Sensing for Crop Monitoring, Mapping and Classification III
📺 WE2.R12: Advances in Regression, Super-resolution and Denoising
📺 WE2.R13: Recent Advances in GNSS-Reflectometry: Cryospheric Applications and Novel Techniques
📺 WE2.R14: Data Management and Education I
📺 WE2.R15: KOMPSAT and New Space SAR Instruments and Constellations
📺 WE2.R16: Processing and Imaging Techniques III
📺 WE2.R17: UAV and Airborne Platforms Applications I
📺 WE2.R18: Deep and Semantic Learning for Object Detection
📺 WE2.R19: Global Precipitation Measurement Mission with Emphasis on Coastal Observations
Thursday
📺 TH1.R2: Adaptive and Neural Methods for Object Recognition
📺 TH1.R3: Feature Reduction by Neural and/or Spatial Characterization I
📺 TH1.R4: Wetlands and Inland Waters I
📺 TH1.R5: Classification Methods for SAR Data
📺 TH1.R6: Land Cover Dynamics I
📺 TH1.R8: Ocean Surface Winds and Currents III
📺 TH1.R9: Semantic Learning for Image Analysis
📺 TH1.R10: Remote Sensing for Forest and Vegetation Growth and Dynamics
📺 TH1.R11: Remote Sensing for Crop Monitoring, Mapping and Classification IV
📺 TH1.R12: Regression and Estimation Methods and Applications
📺 TH1.R13: Microwave Radiometer Calibration and RFI I
📺 TH1.R14: Data Management and Education II
📺 TH1.R15: Passive Optical, Hyperspectral Sensors and Calibration III
📺 TH1.R16: Spaceborne Imaging Techniques
📺 TH1.R17: Learning and Adaptive Methods for Image Clustering
📺 TH1.R18: Analysis of Multitemporal Images
📺 TH1.R19: Atmospheric Sounding: Missions, Technology, Methods and Applications
📺 TH2.R3: Feature Reduction by Neural and/or Spatial Characterization II
📺 TH2.R4: Next Generation of LEO/GEO Microwave and Infrared Sounders
📺 TH2.R5: Data Fusion: SAR and Optical
📺 TH2.R6: Land Cover Dynamics II
📺 TH2.R7: Integrating Physical Models into Machine Learning (ML) Models
📺 TH2.R9: Airborne/Ground-base and Processing Imaging Techniques
📺 TH2.R10: Remote Sensing Methods for Forest and Vegetation Properties
📺 TH2.R11: Envisioning the Role of Remote Sensing in Agriculture in 2030
📺 TH2.R12: Advanced Remote Sensing Data Analysis for Sustainable Development
📺 TH2.R13: Radio Frequency Interference (RFI) in Microwave Remote Sensing
📺 TH2.R14: Data Management and Systems II
📺 TH2.R17: Global Sensing through New Observing Strategies for Local Solutions
📺 TH2.R18: Hyperspectral Unmixing
📺 TH2.R20: Detection of Objects in Complex Environments
Friday
📺 FR1.R2: Machine Learning for Earth Observation II
📺 FR1.R3: SAR Polarimetry: Theory and Applications
📺 FR1.R4: Wetlands and Inland Waters II
📺 FR1.R5: Networks and Time Series Methods for Remote Sensing
📺 FR1.R6: Image and Data Fusion II
📺 FR1.R7: Data Fusion: The AI Era
📺 FR1.R8: Ocean Biology, Temperature and Salinity, Altimetry and Coastal Zone
📺 FR1.R9: Processing and Imaging Techniques IV
📺 FR1.R10: Topography, Geology and Geomorphology I
📺 FR1.R11: Remote Sensing for Crop Parameters II
📺 FR1.R12: Unmixing and Anomaly Detection
📺 FR1.R13: Microwave Radiometer Calibration and RFI II
📺 FR1.R14: Target Detection and Localization
📺 FR1.R15: UAV and Airborne Platforms Applications II
📺 FR1.R16: Processing and Imaging Techniques V
📺 FR1.R17: Machine Learning for Multitemporal Image Analysis
📺 FR1.R18: Network Based Classifier
📺 FR2.R1: Hydrologic Remote Sensing, Modeling and Data Assimilation
📺 FR2.R2: Machine Learning and Artificial Intelligence for Remote Sensing
📺 FR2.R3: Object Detection and Segmentation
📺 FR2.R4: New Algorithms for NewSpace: Detecting Difficult Targets
📺 FR2.R5: Data Fusion: Hyperspectral and Lidar
📺 FR2.R6: Advanced Processing Tools for Feature Extraction and Reductions
📺 FR2.R7: Deep Learning Meets Earth Sciences: From Hybrid Modeling to Explainability
📺 FR2.R8: Marine Coastal Processes monitored by SAR
📺 FR2.R9: Classification Methods
📺 FR2.R10: Topography, Geology and Geomorphology II
📺 FR2.R11: Remote Sensing for Crop Parameters III
📺 FR2.R13: Microwave Radiometer Instrumentation and Data Analysis
📺 FR2.R14: Remote Sensing for Mineral and Oil & Gas Exploration and Production
📺 FR2.R16: Enhancement Methods for Image Analysis
📺 FR2.R17: Bistatic and Digital Beamforming SAR
📺 FR2.R18: Analysis of Satellite Images Time Series