G33A:
Recent Advances in SAR and InSAR Processing, Analysis, and Cloud Computing II

Submit an Abstract to this Session



Session ID#: 30710

Session Description:
We are entering a golden age of civilian SAR remote sensing with ~10 satellites in orbit and a fleet of new SAR satellites (including NISAR) to be launched by 2020. This wealth of data provides the geoscience community with enormous opportunities but also significant technical and logistical challenges. This session, co-sponsored by WInSAR and the Alaska Satellite Facility, aims to prepare the ground for addressing these challenges.

We solicit contributions showcasing recent developments in SAR 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, including both InSAR and SAR amplitude time-series methods. (2) Recent advances in big data 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 Earth science problems 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, University of Texas at Austin, Geological Sciences, Austin, TX, United States
Chairs:  Franz Josef Meyer, Alaska Satellite Facility, Fairbanks, AK, United States, 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
Index Terms:

1240 Satellite geodesy: results [GEODESY AND GRAVITY]
1241 Satellite geodesy: technical issues [GEODESY AND GRAVITY]
1294 Instruments and techniques [GEODESY AND GRAVITY]
1295 Integrations of techniques [GEODESY AND GRAVITY]

Abstracts Submitted to this Session:

InSAR time series analysis of ALOS-2 ScanSAR data and its implications for NISAR (259342)
Cunren Liang, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, Zhen Liu, NASA Jet Propulsion Laboratory, Pasadena, United States, Eric Jameson Fielding, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, Mong-Han Huang, University of Maryland College Park, College Park, MD, United States and Roland Burgmann, UC Berkeley Seismological Laboratory, Berkeley, CA, United States
Large-Scale Sentinel-1 Processing for Solid Earth Science and Urgent Response using Cloud Computing and Machine Learning (299834)
Hook Hua1, Susan E Owen2, Sang-Ho Yun3, Piyush S Agram2, Gerald Manipon1, Michael Starch4, Gian Franco Sacco4, Brian Bue1, Lan B Dang5, Justin P Linick3, Namrata Malarout1, Paul Alan Rosen1, Eric Jameson Fielding1, Paul Lundgren1, Angelyn W Moore6, Zhen Liu3, Thomas Farr4, Frank Webb7, Prof. Mark Simons, Ph.D.8, Eric Michael Gurrola4 and Advanced Rapid Imaging and Analysis (ARIA), (1)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (2)Jet Propulsion Lab Caltech, Pasadena, CA, United States, (3)Jet Propulsion Laboratory, Pasadena, United States, (4)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (5)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (6)Jet Propulsion Lab Caltech, Pasadena, United States, (7)JPL, Pasadena, CA, United States, (8)California Institute of Technology, Pasadena, United States
A Cloud-Based System for Automatic Hazard Monitoring from Sentinel-1 SAR Data (287403)
Franz Josef Meyer1, Scott A Arko2, Kirk Hogenson2, David B McAlpin3 and Matthew Allen Whitley4, (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)Geophysical Institute Fairbanks, Fairbanks, AK, United States
Getting to the point: Rapid point selection and variable density InSAR time series for urban deformation monitoring (270923)
Karsten Spaans and Andrew J Hooper, University of Leeds, COMET, School of Earth and Environment, Leeds, United Kingdom
Information extraction from dynamic PS-InSAR time series using machine learning (265894)
Bas van de Kerkhof1,2, Victor Pankratius3, Ling Chang2, Rob van Swol1 and Ramon F Hanssen4, (1)Netherlands Aerospace Centre, Amsterdam, Netherlands, (2)Delft University of Technology, Delft, Netherlands, (3)MIT Haystack Observatory, Westford, MA, United States, (4)Delft University of Technology, Faculty Of Civil Engineering and Geosciences, Department of Geoscience and Remote Sensing, Delft, Netherlands
An atmospheric turbulence power factor to improve the estimation of surface deformation and atmosphere phase screen using SAR interferometry (236040)
Gert Mulder1,2, Freek J van Leijen1, Jan Barkmeijer2, Siebren Haan, de2 and Ramon F Hanssen3, (1)Delft University of Technology, Delft, Netherlands, (2)Royal Netherlands Meteorological Institute, De Bilt, Netherlands, (3)Delft University of Technology, Faculty Of Civil Engineering and Geosciences, Department of Geoscience and Remote Sensing, Delft, Netherlands
Stability Evaluation of Buildings in Urban Area Using Persistent Scatterer Interfometry -Focused on Thermal Expansion Effect (270236)
jung Hyun Choi1, Sang-Wan Kim2 and Joong-Sun Won1, (1)Yonsei University, Seoul, Korea, Republic of (South), (2)Sejong University, Department of Energy Resources and Geosystems Engineering, Seoul, South Korea

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