G32A:
Recent Advances in SAR and InSAR Processing, Analysis, and Cloud Computing I


Submit an Abstract to this Session


Session ID#: 57935

Session Description:
We are experiencing a golden age of civilian SAR remote sensing with ~10 satellites in orbit and a fleet of new SAR satellites (including NISAR) planned in the coming years. This wealth of data provides the geoscience community with enormous opportunities but also significant technical and logistical challenges. In this session, we aim to highlight strategies for addressing these challenges. We solicit contributions showcasing recent developments in SAR and InSAR in the following three areas: (1) Recent developments in data processing techniques that take full advantage of the densely sampled time-series information provided by modern SAR sensors. (2) Recent advances in big data, machine learning and cloud-based processing techniques applied to SAR and InSAR, and development and distribution of value-added products. (3) Submissions that apply SAR and InSAR data to analyzing problems in Earth science (broadly defined) and/or the monitoring of geohazards.
Primary Convener:  Gareth Funning, University of California Riverside, Department of Earth and Planetary Sciences, Riverside, CA, United States
Conveners:  Franz Josef Meyer, University of Alaska Fairbanks, Geophysical Institute, Fairbanks, AK, United States and Jingyi Chen, The University of Texas at Austin, Aerospace Engineering & Engineering Mechanics, Austin, United States
Primary Liaison:  Franz Josef Meyer, University of Alaska Fairbanks, Geophysical Institute, Fairbanks, AK, United States
Chairs:  Gareth Funning, University of California Riverside, Department of Earth and Planetary Sciences, Riverside, CA, United States, Franz Josef Meyer, University of Alaska Fairbanks, Geophysical Institute, Fairbanks, AK, United States and Jingyi Chen, The University of Texas at Austin, Aerospace Engineering & Engineering Mechanics, Austin, United States
OSPA Liaison:  Jingyi Chen, The University of Texas at Austin, Aerospace Engineering & Engineering Mechanics, Austin, United States

Cross-Listed:
  • IN - Earth and Space Science Informatics
Index Terms:

1240 Satellite geodesy: results [GEODESY AND GRAVITY]
1241 Satellite geodesy: technical issues [GEODESY AND GRAVITY]
1908 Cyberinfrastructure [INFORMATICS]
1932 High-performance computing [INFORMATICS]

Abstracts Submitted to this Session:

Your Guide To 15 Minute InSAR. No Experience Needed.* (Invited) (347498)
Howard A Zebker, Stanford University, Geophysics, Stanford, CA, United States and Paul Alan Rosen, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States
Development of Standardized Interferometric Products and Online Processing Capabilities (447959)
Piyush S Agram1, David P Bekaert2, Susan E Owen2, Mohammed Karim3, Lan B Dang4, Gerald Manipon4, Justin P Linick5, Hook Hua4, Eric Michael Gurrola5, Prof. Mark Simons, Ph.D.6, Paul Alan Rosen4, Frank Webb7 and ARIA Team, (1)Jet Propulsion Laboratory, Pasadena, CA, United States, (2)Jet Propulsion Laboratory, Pasadena, United States, (3)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (4)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (5)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (6)California Institute of Technology, Pasadena, United States, (7)JPL, Pasadena, CA, United States
Hybrid Pluggable Processing Pipeline (HyP3): A cloud-based infrastructure for generic processing of SAR data (375809)
Kirk Hogenson1, Scott A Arko1, Thomas Andrew Logan1, Rudiger Gens2, Kenneth Arnoult Jr1 and Jeremy B Nicoll2, (1)Alaska Satellite Facility, Fairbanks, AK, United States, (2)University of Alaska Fairbanks, Fairbanks, AK, United States
Generic Atmospheric Correction Online Service for InSAR (GACOS): Validation and Implications for InSAR Time Series Analysis (422325)
Zhenhong Li, Newcastle University, COMET, School of Engineering, Tyne and Wear, United Kingdom, Chen Yu, COMET, Newcastle University, School of Engineering, Tyne and Wear, United Kingdom and Nigel T Penna, School of Engineering, Newcastle University, Newcastle Upon Tyne, United Kingdom
Ionospheric Correction of InSAR Time Series Analysis of C-band Sentinel-1 TOPS Data (461569)
Cunren Liang, California Institute of Technology, Pasadena, CA, United States, Piyush S Agram, NASA Jet Propulsion Laboratory, Pasadena, CA, United States, Prof. Mark Simons, Ph.D., California Institute of Technology, Pasadena, United States and Eric Jameson Fielding, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States
SAR coherence and soil moisture variability from deep InSAR time series (379610)
Rowena B Lohman, Cornell University, Earth and Atmospheric Sciences, Ithaca, NY, United States and Teresa E Jordan, Cornell University, Ithaca, United States
A Singular-Value Decomposition of Closure Phase from InSAR Phase Triplets: Potential for Improved InSAR Time-Series Analysis, and Soil Moisture Time-Series Analysis (353264)
Roger J Michaelides, Stanford University, Geophysics, Stanford, CA, United States and Howard A Zebker, Stanford University, Stanford, CA, United States
Bayesian inversion of heterogeneous aquifer properties from GPS andInSAR data using poroelastic subsurface models (459401)
Amal Alghamdi, University of Texas at Austin, Oden Institute for Computational Engineering and Sciences, Austin, TX, United States, Marc A Hesse, The University of Texas at Austin, Jackson School of Geosciences, Austin, United States, Jingyi Chen, The University of Texas at Austin, Aerospace Engineering & Engineering Mechanics, Austin, United States and Omar Ghattas, University of Texas at Austin, Oden Institute for Computational Engineering and Sciences, Austin, United States; University of Texas at Austin, Geological Sciences, Austin, TX, United States

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