G009
Recent Advances in SAR and InSAR Processing, Big Data Analysis and Earth Science Applications

Session ID#: 156678

Session Description:
Over the past few years, observations from highly capable SAR satellites including ESA's Sentinel-1A/B and JAXA’s ALOS-2 have resulted in a remarkable increase in SAR data availability that will continue to grow with the forthcoming NASA-ISRO NISAR mission. The scope and variety of these data has resulted in a golden age for SAR and InSAR results, providing enormous scientific opportunities coupled with significant technical and computational challenges. Here we solicit contributions detailing methods and strategies that address these opportunities and challenges, highlighting recent SAR and InSAR developments in the following areas: (1) Data processing techniques that take full advantage of the densely sampled time-series information and development of new data products; (2) Advances in big data analytics, deep learning and cloud-based processing techniques applied to SAR and InSAR, and development and distribution of value-added products; (3) submissions that focus on new frontiers of SAR and InSAR applications.
Index Terms:

1240 Satellite geodesy: results [GEODESY AND GRAVITY]
1241 Satellite geodesy: technical issues [GEODESY AND GRAVITY]
1243 Space geodetic surveys [GEODESY AND GRAVITY]
1932 High-performance computing [INFORMATICS]

Primary Convener:  Eric Ostrom Lindsey, University of New Mexico, Department of Earth and Planetary Sciences, Albuquerque, United States
Conveners:  Jingyi Chen, University of Texas at Austin, Aerospace Engineering & Engineering Mechanics, Austin, TX, United States, David P Bekaert, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States and Brent Minchew, Massachusetts Institute of Technology, Department of Earth, Atmospheric and Planetary Sciences, Cambridge, MA, United States
Student/Early Career Convener:  Jingyi Chen, University of Texas at Austin, Aerospace Engineering & Engineering Mechanics, Austin, TX, United States
 
SBPSA model for improvement of InSAR-based Digital Elevation Model (DEM) using DEM fusion- Case studies of plain and hilly terrains in parts of India (1041855)
Priti Girohi, Indian Institute of Remote Sensing, Dehradun, India and Ashutosh Bhardwaj, Indian Institute of Remote Sensing, Photogrammetry and Remote Sensing Department, Dehradun, India
 
Predicting InSAR deformation with GNSS using machine learning (Invited) (1050882)
Xiaohua Xu, University of Texas, Institute for Geophysics, Austin, United States, Rui Hua, Canon Medical Research USA, Vernon Hills, United States and Katherine Anna Guns, University of California San Diego, La Jolla, CA, United States
 
Aiming the firehose of data at the fire: Optimizing international satellite SAR observations for volcano hazards with the CEOS volcano demonstrator project (1071961)
Matthew E Pritchard1, Susanna K Ebmeier2, Michael P Poland3, Fabien Albino4, Juliet Biggs5, Francisco Delgado6, Edna Warsame Dualeh7, Raphael Grandin8, Federico Galetto1, Ian J Hamling9, Yosuke Aoki10, Eugenio Sansosti11 and Mark Bemelmans12, (1)Cornell University, Ithaca, United States, (2)University of Leeds, COMET, School of Earth and Environment, Leeds, United Kingdom, (3)USGS, Yellowstone Volcano Observatory, Vancouver, WA, United States, (4)Universite Grenoble-Alpes, Grenoble, France, (5)University of Bristol, COMET, School of Earth Sciences, Bristol, United Kingdom, (6)Universidad de Chile, Department of Geology, Santiago, Chile, (7)University of Leeds, COMET, School of Earth and Environment, Leeds, LS2, United Kingdom, (8)Ecole Normale Superieure, Paris, France, (9)GNS Science, Lower Hutt, New Zealand, (10)Univ Tokyo, Bunkyo-Ku, Tokyo, Japan, (11)CNR-IREA, Napoli, Italy, (12)University of Bristol, Bristol, United Kingdom
 
Revisit Landslide Inventory in California Using Remote Sensing Big Data and Machine Learning (1077205)
Yuqi Song and Xie Hu, College of Urban and Environmental Sciences, Peking University, Beijing, China
 
EZ-InSAR: An Easy-to-use Open-source Toolbox for Mapping Ground Surface Deformation using Satellite Interferometric Synthetic Aperture Radar (1081352)
Xiaowen Wang1,2, Hrysiewicz Alexis1 and Eoghan Patrick Holohan1, (1)University College Dublin, UCD School of Earth Sciences, Dublin, Ireland, (2)Southwest Jiaotong University, Department of Surveying and Geo-Informatics, Chengdu, China
 
Geodetic implications for the 2021 lethal building collapse in Surfside, Florida (1084439)
Xiao Yu1, Xie Hu2 and Guoquan Wang1, (1)University of Houston, Houston, TX, United States, (2)College of Urban and Environmental Sciences, Peking University, Beijing, China
 
Ionospheric Compensation in L-band InSAR Time-Series: Evaluation of Performance for Slow Deformation Contexts at Equatorial Regions (1084749)
Léo Marconato, Université Grenoble Alpes, ISTerre, Grenoble, France, Marie-Pierre Doin, Université Grenoble Alpes, Grenoble, France and Laurence Audin, ISTerre Institute of Earth Sciences, Saint Martin d'Hères, France
 
Removing Atmospheric Noise from Interferograms in Mountainous Regions with a Deep Convolutional Neural Network (1095270)
George Brencher, University of Washington, Civil & Environmental Engineering, Seattle, United States and David E Shean, University of Washington, Department of Civil and Environmental Engineering, Seattle, United States
 
Azimuth Geolocation of Sentinel-1 and Its Implications for Stack Coregistration and Intra-Burst Phase Discontinuity (1097636)
Zhang Yunjun1, Heresh Fattahi2, Virginia Brancato3, Yuan-Kai Liu4 and Mark Simons4, (1)California Institute of Technology, Pasadena, CA, United States, (2)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (3)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (4)California Institute of Technology, Pasadena, United States
 
Detection of Sporadic-E Event using L-band InSAR (1098572)
Tatsuya Fujimoto1, Masato Furuya2 and Kosuke Heki1,3, (1)Hokkaido University, Sapporo, Japan, (2)Hokkaido University, Department of Earth and Planetary Sciences, Earth and Planetary Dynamics, Sapporo, Japan, (3)Shanghai Astronomical Observatory, Shanghai, China
 
Incorporating global atmospheric model products into the InSAR atmospheric delay model based on GNSS observations (1101045)
Yohei Kinoshita, University of Tsukuba, Tsukuba, Japan
 
Using Numerical Weather Model to Predict Zenith Total Delay (ZTD) with Machine learning and Improve Tropospheric Correction for InSAR (1101839)
Ngo Hi Kenny Yue, Missouri University of Science and Technology, Geological Sciences and Geological and Petroleum Engineering, Rolla, United States and Jeremy Maurer, Missouri University of Science and Technology, Geological Sciences and Geological and Petroleum Engineering, Rolla, MO, United States
 
Construction of high-accuracy digital elevation model on the intertidal flats in the German Wadden Sea (1103037)
Je-Yun Lee and Sang-Hoon Hong, Pusan National University, Department of Geological Sciences, Busan, South Korea
 
Comparison of Tropospheric Delay Correction Methods of Insar Analysis Using A Mesoscale Meteorological Model: A Case Study From Japan (1104179)
Sardila Sailellah, Tohoku University, Sendai, Japan and Yo Fukushima, Tohoku University, International Research Institute of Disaster Science, Sendai, Japan
 
ICA-Based Spatiotemporal Characterization of Vertical and Horizontal Deformations from InSAR Time Series (1104916)
Sayyed Mohammad Javad Mirzadeh, Shanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai, China; School of Astronomy and Space Science, University of Chinese Academy of Sciences, Beijing, China, Xie Hu, College of Urban and Environmental Sciences, Peking University, Beijing, China and Estelle Chaussard, Independent Researcher, Washington, United States
 
Autonomous Extraction of Millimeter-scale Deformation in InSAR Time Series Using Deep Learning, and application to the San Andreas Fault (1106709)
Bertrand Rouet-Leduc1, Sylvain Michel2, Claudia Hulbert3, Romain Jolivet2, Thomas Kerdreux3 and Manon Dalaison2, (1)Kyoto University, Disaster Prevention Research Institute, Kyoto, Japan, (2)Ecole Normale Supérieure, PSL Research University, CNRS UMR 8538, Laboratoire de Géologie, Paris, France, (3)Geolabe, Los Alamos, United States
 
Assessing the Limits of Troposphere Mitigation Techniques for Synthetic Aperture Radar Interferometry (1107987)
Sang-Wan Kim, Sejong University, Seoul, Korea, Republic of (South), Takamichi Iguchi, NASA GSFC, Greenbelt, MD, United States, Minjeong Jo, USRA/NASA Goddard Space Flight Center, Greenbelt, MD, United States and Batuhan Osmanoglu, NASA Goddard Space Flight Center, Greenbelt, MD, United States
 
Sentinel-1 Analysis Ready Data – A Convenient and Easy to Use System Producing Common-coordinate Timeseries (1112710)
Howard A Zebker, Stanford University, Geophysics, Stanford, CA, United States
 
Removing Systematic Closure Phases in InSAR Time Series Using Intensity Observations (1116112)
Rowan Biessel, University of Alaska Fairbanks, Fairbanks, United States and Simon Zwieback, University of Alaska Fairbanks, Fairbanks, AK, United States
 
Investigating Active Crustal Deformation Processes along the San Andreas Fault: Insights from a 7+ year Sentinel-1 InSAR/GNSS Time Series Across California (1117810)
Katherine Anna Guns1, Xiaohua Xu2, David T Sandwell1 and Yehuda Bock1, (1)Scripps Institution of Oceanography, Institute of Geophysics and Planetary Physics, La Jolla, United States, (2)University of Texas, Institute for Geophysics, Austin, United States
 
OPERA Coregistered Single Look Complex products from Sentinel-1 data (1118707)
Heresh Fattahi1, David P Bekaert2, Virginia Brancato3, Zhang Yunjun4, Zhong Lu5, Mary Grace Bato6, Jin Woo Kim7, Seongsu Jeong8, Kang Liang5 and Simran Sangha2, (1)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (2)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (3)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (4)California Institute of Technology, Pasadena, CA, United States, (5)Southern Methodist University, Dallas, United States, (6)ISTerre Institute of Earth Sciences, Chambéry, France, (7)Southern Methodist University, Dallas, TX, United States, (8)Jet Propulsion Laboratory, California Institute of Technology, Irvine, United States
 
The Impact of Plate Motions on Long-Wavelength InSAR-Derived Velocity Fields (1120724)
Yuan-Kai Liu1, Oliver Stephenson1, Zhang Yunjun1, Mark Simons1, Paul Rosen2 and Xiaohua Xu3, (1)Seismological Laboratory, California Institute of Technology, Pasadena, United States, (2)Jet Propulsion Laboratory, Pasadena, United States, (3)University of Texas, Institute for Geophysics, Austin, United States
 
Detection of Crustal Deformation Utilizing InSAR Analysis and Machine Learning Algorithms (1125794)
Niloufar Abolfathian, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, Zachary E. Ross, California Institute of Technology, Seismological Laboratory, Pasadena, United States and Eric Jameson Fielding, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States
 
Absolute Elevation Time Series of Peat Soils from InSAR Observations using Integrated Geodetic Reference Stations wrong version (1126164)
Simon VAN Diepen1, Philip N Conroy1, Freek J van Leijen1 and Ramon F Hanssen2, (1)Delft University of Technology, Delft, Netherlands, (2)Delft University of Technology, Faculty Of Civil Engineering and Geosciences, Department of Geoscience and Remote Sensing, Delft, Netherlands
 
Absolute Elevation Time Series of Peat Soils from InSAR Observations using Integrated Geodetic Reference Stations (1127209)
Simon VAN Diepen1, Philip N Conroy1, Freek J van Leijen1 and Ramon F Hanssen2, (1)Delft University of Technology, Delft, Netherlands, (2)Delft University of Technology, Faculty Of Civil Engineering and Geosciences, Department of Geoscience and Remote Sensing, Delft, Netherlands
 
Monitoring coastal subsidence using InSAR and airborne LiDAR around Eagle Point, Texas (1128151)
Wen Zhong1,2, Tianxing Chu3,4, Philippe Tissot3, Zhenming Wu5, Jie Chen6 and Hua Zhang7, (1)Texas A&M University Corpus Christi, Conrad Blucher Institute for Surveying and Science, Corpus Christi, TX, United States, (2)Texas A&M University Corpus Christi, Department of Computing Sciences, Corpus Christi, United States, (3)Texas A&M University-Corpus Christi, Conrad Blucher Institute for Surveying and Science, Corpus Christi, United States, (4)Texas A&M University-Corpus Christi, Department of Computing Sciences, Corpus Christi, United States, (5)Department of Meteorology, University of Reading, Reading, United Kingdom, (6)State Key Laboratory of Cryosphere Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lan Zhou, China, (7)Texas A&M University Corpus Christi, College of Science and Engineering, Corpus Christi, United States
 
Standardizing Soil Moisture Measurements from InSAR Phase Closure (1129998)
Elizabeth Wig, Stanford University, Stanford, CA, United States, Roger J Michaelides, Washington University in St Louis, Earth and Planetary Sciences, St. Louis, United States and Howard A Zebker, Stanford Univ, Stanford, CA, United States
 
InSAR applications to earthquake-triggered ground failure mapping and modeling (1131360)
Paula Burgi1, Kyle D Murray2, Eric Thompson1, Kate Allstadt1, Henry Mason1 and Sean Ahdi1, (1)USGS Geologic Hazards Science Center, Golden, United States, (2)University of Hawaii at Manoa, Honolulu, HI, United States
 
Detecting small surface deformation caused by the 2016 Kumamoto earthquake sequence with ALOS-2 data from multiple LOS directions (1131892)
Kento Adachi, Masashi Omata and Jun Sugimoto, PASCO Corporation, Meguro-ku, Japan
 
Monitoring Coastal Subsidence in Southeast Florida Using Sentinel-1 InSAR Time Series Observations (1140077)
Anurag Sharma, Florida International University, Miami, FL, United States and Shimon Wdowinski, Florida International University, Miami, United States
 
Exploring Physical Properties and Processing Choices at the Origin of Misclosure and Associated Biases in InSAR Time Series: a Case Study in Normandie (France) (1147907)
Manon Dalaison1, Romain Jolivet1 and Béatrice Pinel-Puysségur2, (1)Ecole Normale Supérieure, PSL Research University, CNRS UMR 8538, Laboratoire de Géologie, Paris, France, (2)CEA/DAM- ILE DE FRANCE, Arpajon, France
 
Modeling InSAR Observations of Construction-induced Subsidence in South Florida’s Young Limestone (1159078)
Farzaneh Aziz Zanjani1, Falk Amelung2, Sara Mirzaee2, Esber Andirolgu3, Antonio Nanni4, Nina Maria Jean-Louis4, Amin Sarafraz4 and Imelda Moise5, (1)University of Miami, Department of Marine Geology and Geophysics, Miami, United States, (2)University of Miami, Department of Marine Geology and Geophysics, Miami, FL, United States, (3)University of Miami, Dept. of Civil & Architectural Engineering, Miami, United States, (4)University of Miami, Dept. of Civil & Arch. Engineering, Miami, United States, (5)University of Miami, College of A&S - Geography & Sustainable, Miami, United States
 
Unrest Detected at Socompa Volcano, Northern Chile, from Geodetic Observations (1165165)
Fei Liu1, John R Elliott1, Susanna K Ebmeier1, Timothy J Craig1, Andrew J Hooper1, Camila Novoa1 and Francisco Delgado2, (1)University of Leeds, COMET, School of Earth and Environment, Leeds, United Kingdom, (2)Universidad de Chile, Department of Geology, Santiago, Chile
 
A series of storms in a hyper-arid region – effects on InSAR time series (1171842)
Rowena B Lohman1, Paula Burgi2, Yusuf Molan1, Kelly Devlin3 and Olivia Catherine Paschall1, (1)Cornell University, Ithaca, NY, United States, (2)Cornell University, Ithaca, United States, (3)Cornell University, Earth and Atmospheric Sciences, Ithaca, NY, United States
 
Contemporary subsidence rate at U.S. major aquifers systems from big InSAR data (1173283)
Guang Zhai, Manoochehr Shirzaei and Susanna Werth, Virginia Tech, Department of Geosciences, Blacksburg, United States
 
Towards Continental Vertical Land Maps from InSAR – in anticipation of the OPERA Project Displacement Products (1177245)
Marin Govorcin, David P Bekaert and Simran Sangha, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States
 
OPERA RTC Product, Algorithm, and Validation Approach (1177982)
Gustavo H.X. Shiroma1, Heresh Fattahi1, Franz Josef Meyer2, Jon Rosario3, Alex Lewandowski4, Bruce D Chapman1, Seongsu Jeong1, Jungkyo Jung1 and David P Bekaert1, (1)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (2)University of Alaska Fairbanks, Fairbanks, United States, (3)Massachusetts Institute of Technology, Cambridge, United States, (4)Alaska Satellite Facility, Fairbanks, AK, United States
 
Development of an Early Warning Ground Based SAR system to study Slope Instability in open cast coal mines. (1180044)
Supriya Bhide1, Arunkumar Heddallikar2, Raoof Naushad1, Subrahmanyeswara Rao Yalamanchili1 and Raymond Pinto2, (1)Indian Institute of Technology Bombay, CSRE, Mumbai, India, (2)Society for Applied Microwave Electronics Engineering & Research, Mumbai, India
 
Evaluating SAR Radiometric Terrain Correction Solutions: Optimal products for applied users (1181630)
Helen Blue Parache1, Africa Ixmucane Flores Anderson2, Kelsey Herndon3, Stephanie Jimenez4, Vanesa Martin2, Franz Josef Meyer5, Shobit Agarwal6, Manoj Agarwal6, Simon Ilyushchenko7, Amanda Markert2, Andrea Nicolau8,9 and David S Saah10, (1)University of Alabama in Huntsville, Huntsville, AL, United States, (2)University of Alabama in Huntsville, Earth System Science Center, Huntsville, AL, United States, (3)NASA SERVIR SCO, Huntsville, AL, United States, (4)SERVIR | University of Alabama in Huntsville, Huntsville, United States, (5)University of Alaska Fairbanks, Fairbanks, United States, (6)Google, San Francisco, United States, (7)Google, Mountain View, CA, United States, (8)NASA Marshall Space Flight Center, SERVIR Science Coordination Office, Huntsville, United States, (9)Spatial Informatics Group, LLC, Remote Sensing Specialist, Pleasanton, United States, (10)University of San Francisco, Geospatial Analysis Lab, San Francisco, CA, United States
 
Sentinel-1 InSAR and GPS time-series assessment of urban areas exposed to land subsidence in Mexico (1183108)
Enrique Fernandez, National Autonomous University of Mexico, Posgrado en Ciencias de la Tierra, Ciudad de Mexico, Mexico, Enrique Cabral-Cano, UNAM National Autonomous University of Mexico, Departamento de Geomagnetismo y Exploración, Instituto de Geofísica, Mexico City, Mexico, Dario E Solano-Rojas, Universidad Nacional Autónoma de México, Facultad de Ingeniería, División de Ingeniería en Ciencias de la Tierra, Mexico, CDMX, Mexico, Luis Salazar-Tlaczani, Instituto de Geofísica, Universidad Nacional Autónoma de México, Departamento de Geomagnetismo y Exploración, Mexico D.F., Mexico, Josue M Garcia-Venegas, Universidad Nacional Autonoma de Mexico, Facultad de Ingenieria, Division de Ingenieria en Ciencias de la Tierra, Mexico City, Mexico, Bertha Marquez-Azua, University of Guadalajara, Guadalajara, Mexico, Shannon E. Graham SR., The College of New Jersey Physics Department, New Jersey, United States and Katia Michelle Villarnobo-Gonzalez, Facultad de Ciencias, Universidad Nacional Autónoma de México, Mexico
 
Sinkhole Detection and Characterization in West-central Texas using InSAR Time Series and Electrical Resistivity Tomography (1185498)
Yosef Darge1, Esayas Gebremichael1 and Mohamed Ahmed2, (1)Texas Christian University, Geological Sciences, Fort Worth, TX, United States, (2)Texas A&M University-Corpus Christi, Department of Physical and Environmental Sciences, Corpus Christi, United States
 
Coastal Dryland Subsidence Detection Using Interferometric Synthetic Aperture Radar (InSAR) (1186007)
David F Richards IV and Adam Milewski, University of Georgia, Department of Geology, Athens, GA, United States
 
Coastal Subsidence along Florida’s West Coast with an Emphasis on the Fort Myers and Tampa (1186083)
Machel H Higgins and Shimon Wdowinski, Florida International University, Miami, United States
 
Strategies for Multi-Temporal InSAR Processing Using Large Stacks (1187802)
Tom Rune Lauknes and Yngvar Larsen, Norwegian Research Centre (NORCE), Tromsø, Norway
 
A Discussion on the Goldstein Filtering Parameters of the SNAP Software (1190844)
Yen-Yi Wu1, Hsuan Ren2 and Austin Madson1, (1)University of Wyoming, Wyoming Geographic Information Science Center (WyGISC), Laramie, United States, (2)National Central University, Center for Space and Remote Sensing Research (CSRSR), Taoyuan, Taiwan
 
Discovering deformation and magma reservoir under Chilean volcanoes using InSAR (1200353)
Teodora Mitroi, University of Colorado Boulder, Geological Sciences, Boulder, CO, United States, Kristy French Tiampo, University of Colorado at Boulder, Department of Geological Sciences, Boulder, CO, United States and Michael Willis, Virginia Polytechnic Institute and State University, Department of Geosciences, Blacksburg, United States
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