G41B:
Recent Advances in SAR and InSAR Processing, Analysis, and Cloud Computing II Posters


Submit an Abstract to this Session


Session ID#: 45379

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 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:

Scalable InSAR processing and analysis on the Cloud - with applications to geohazard monitoring in the Pacific Northwest (369878)
Scott T Henderson, University of Washington Seattle Campus, Earth and Space Sciences, Seattle, United States and David A Schmidt, University of Washington Seattle, Department of Earth and Space Sciences, Seattle, United States
Towards expressing InSAR in a terrestrial reference frame: Preliminary tests and results of tidal loading (466501)
Michael Floyd, Massachusetts Institute of Technology, Cambridge, MA, United States and Gareth Funning, University of California Riverside, Department of Earth and Planetary Sciences, Riverside, CA, United States
GPU-accelerated 3D backprojection of ALOS SAR data from Greenland (357920)
Ettore Biondi1, Howard A Zebker2 and Roger J Michaelides2, (1)Stanford University, Department of Geophysics, Stanford, United States, (2)Stanford University, Geophysics, Stanford, CA, United States
Automated RTC and INSAR Stack-Processing at the Alaska Satellite Facility (375990)
Thomas Andrew Logan, Alaska Satellite Facility, Fairbanks, AK, United States and Jeremy B Nicoll, University of Alaska Fairbanks, Fairbanks, AK, United States
Hybrid Pluggable Processing Pipeline (HyP3): Personalized Cloud-Based Processing of SAR Data (417612)
William Blaine Horn1, Rohan Weeden1 and Kirk Hogenson1,2, (1)Alaska Satellite Facility, Fairbanks, AK, United States, (2)University of Alaska Fairbanks, Fairbanks, AK, United States
High-performance system for monitoring ground deformation from RCM SAR data (359485)
Sergey V Samsonov, Natural Resources Canada, Canada Centre for Remote Sensing, Ottawa, ON, Canada
Processing of Spaceborne Imaging Radar-C (SIR-C) Data at Full Resolution (457382)
Rudiger Gens1, Kenneth Arnoult Jr2, Valeria Gracheva2, Franz Josef Meyer3 and Paul Alan Rosen4, (1)University of Alaska Fairbanks, Fairbanks, AK, United States, (2)Alaska Satellite Facility, Fairbanks, AK, United States, (3)University of Alaska Fairbanks, Geophysical Institute, Fairbanks, AK, United States, (4)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States
A Hybrid Unwrapping Error Correction Method based on Phase Closure and Bridging for a Network of Interferograms (458606)
Zhang Yunjun, University of Miami, Marine Geology and Geophysics, Miami, FL, United States, Heresh Fattahi, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States and Falk Amelung, University of Miami, Department of Marine Geology and Geophysics, Miami, FL, United States
A validation method of phase unwrapping based on semivariogram (377123)
Shuai Jiao1, Shaohua Wang1, Lin Zhu1, Jie Yu1 and Mi Chen2, (1)Capital Normal University, Laboratory Cultivation Base of Environment Process and Digital Simulation, Beijing, China, (2)Capital Normal University, Beijing, China
An unsolved problem in the application of range split-spectrum method to L-band ALOS2/PALSAR2 (382244)
Masato Furuya, Hokkaido University, Department of Earth and Planetary Sciences, Earth and Planetary Dynamics, Sapporo, Japan, Dr. Yuji Himematsu, The University of Tokyo, Earthquake Research Institute, Tokyo, Japan and Kazuki Yanagiya, Hokkaido University, Sapporo, Japan
Persistent Scatterer Density by Image Resolution and Terrain Type (371131)
Stacey Huang, Stanford University, Stanford, United States and Howard A Zebker, Stanford University, Stanford, CA, United States
An Approach for Automatic Detection of InSAR Deformation Signals Associated with Wastewater Injection and Induced Seismic Events (398628)
Scott James Staniewicz, Jet Propulsion Laboratory, Pasadena, United States, Jingyi Chen, The University of Texas at Austin, Aerospace Engineering & Engineering Mechanics, Austin, United States, Ellen Rathje, University of Texas at Austin, Maseeh Department of Civil, Architectural, and Environment Engineering, Austin, United States and Jon E Olson, Univ Texas, Austin, TX, United States
A new method for InSAR tropospheric corrections: improved slip-rate estimates along the Altyn Tagh Fault, Tibet (352416)
Lin Shen, Andrew J Hooper and John R Elliott, University of Leeds, COMET, School of Earth and Environment, Leeds, United Kingdom
A Kalman Filter approach of InSAR time series analysis (390204)
Manon Dalaison, Ecole Normale Supérieure, PSL Research University, CNRS UMR 8538, Laboratoire de Géologie, Paris, France, Romain Jolivet, École Normale Supérieure, PSL Research University, UMR 8538, Laboratoire de Géologie, Paris, France and Angélique Benoit, Ecole Normale Supérieure Paris, PSL Research University, Département de Géosciences, Paris, France
Considerations and recommendations for working towards global and automated tropospheric corrections in InSAR (466836)
Kyle D Murray, Cornell University, Ithaca, NY, United States, David P Bekaert, Jet Propulsion Laboratory, Pasadena, United States and Rowena B Lohman, Cornell University, Earth and Atmospheric Sciences, Ithaca, NY, United States
Soil Moisture Influence on Multi-looking phase and Phase Triplet (360073)
Yusuf Eshqi Molan1, Zhong Lu2 and Jinwoo Kim2,3, (1)Southern Methodist University, Dallas, TX, United States, (2)Southern Methodist University, Roy M Huffington Department of Earth Sciences, Dallas, United States, (3)Southern Methodist University, Department of Earth Sciences, Dallas, United States
InSAR coherence variability under changing snow conditions at L-band (426671)
Richard R Forster, University of Utah, School of Environment, Society, and Sustainability, Salt Lake City, UT, United States, Elias J Deeb, U.S. Army Corps of Engineers, Cold Regions Research and Engineering Laboratory, Hanover, United States, Hans-Peter Marshall, Boise State University, Department of Geosciences, Boise, ID, United States and Jewell Lund, University of Wyoming, Haub School of Environment & Natural Resources, Laramie, United States
Determining the Link between Hydraulic Properties of Arctic Tundra Soils and Interferometric Synthetic Aperture Radar Deformation Measurements (374207)
Yue WU1, Michael O'Connor2, Jingyi Chen1, George W Kling3, M. Bayani Cardenas4 and Stephen Bruce Ferencz5, (1)The University of Texas at Austin, Aerospace Engineering & Engineering Mechanics, Austin, United States, (2)University of Texas at Austin, Department of Geological Sciences, Jackson School of Geosciences, Austin, TX, United States, (3)University of Michigan, Ecology and Evolutionary Biology, Ann Arbor, MI, United States, (4)University of Texas at Austin, Earth and Planetary Sciences, Austin, United States, (5)Sandia National Laboratories, Energy & Water Group, Albuquerque, NM, United States
Use of Multi-Temporal SAR Interferometry on Sentinel-1 Data to Detect and Monitor Ground Movements in the Republic of Ireland. (392595)
Simone Fiaschi1, Eoghan Patrick Holohan1 and Michael Sheehy2, (1)University College Dublin, UCD School of Earth Sciences, Dublin, Ireland, (2)Geological Survey of Ireland, Dublin, Ireland
Mining Big Data of Sentinel-1 to detect and monitor land subsidence in wide scale: Example from sinking aquifers in Iran (406232)
Mahmud Haghshenas-Haghighi, Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany and Mahdi Motagh, GFZ Helmholtz Center for Geosciences, Potsdam, Germany
Detecting and monitoring ground deformation using InSAR time series in arid environments; Doha City and its surroundings, Qatar (424393)
Mustafa Kemal Emil1, Mohamed Sultan1, Khaled Al-Akhras2, Esayas Gebremichael3, Moein Izadi1 and Sita Karki1, (1)Western Michigan University, Department of Geological and Environmental Sciences, Kalamazoo, MI, United States, (2)Ministry of Municipality & Environment, Infrastructure Planning Department, Doha, Qatar, (3)Texas Christian University, Geological Sciences, Fort Worth, TX, United States
Detection of Aquifer and Land Subsidence of Shanghai Using Short Baseline TCPInSAR Technique (442118)
Yanling Chen, Shanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai, China and Jicang Wu, Tongji University, College of Surveying and Geo-Informatics, Shanghai, China
Volcanic Activity Change Detection Using SqueeSAR-InSAR and Backscatter Analysis (449832)
Sara Mirzaee, University of Miami, Department of Marine Geology and Geophysics, Miami, United States and Falk Amelung, University of Miami, Department of Marine Geology and Geophysics, Miami, FL, United States
Evaluation of a SAR-Based Oil Detection Algorithm (467881)
Sean Helfrich, NOAA Center for Satellite Applications and Research, SOCD, College Park, MD, United States, Christopher Jackson, NOAA Center for Satellite Applications and Research, SOCD, College Park, United States, Kaden Weaver, NOAA Center for Satellite Applications and Research, College Park, MD, United States, Ellen M Ramirez, National Environmental Satellite, Data, and Information Service, Silver Spring, MD, United States and Francis M Monaldo, Johns Hopkins University, Baltimore, MD, United States

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