Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
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Session Overview |
Date: Monday, 11/Sept/2023 | ||
8:00am - 10:00am |
REGISTRATION Location: PLENARY |
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10:00am - 10:40am |
1.01.a: Opening Session Location: PLENARY Chair: Marcus Engdahl, ESA Chair: Anna Hogg, University of Leeds, UK Oral_10 Fringe23 ESA Welcome Address (recorded video) ESA, Director General 10:06am - 10:10am Oral_10 Ministerial Welcome Address DSIT Space team, UK Government 10:10am - 10:20am Oral_10 Earth Observation in the UK - the UK Space Agency perspective UKSA 10:20am - 10:25am Oral_10 Fringe23 Co-organisers Welcome Leeds University 10:25am - 10:35am Oral_10 Fringe23 Welcome & Scientific Programme ESA 10:35am - 10:40am Oral_10 Fringe23 Workshop Logistics Serco for ESA |
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10:40am - 11:10am |
Coffee Break |
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11:10am - 12:50pm |
1.02.a: Sentinel-1 Session Location: PLENARY Chair: Muriel Pinheiro, ESA-ESRIN Chair: Nuno Miranda, ESA-ESRIN Oral_25 Sentinel-1 Mission status ESA 11:35am - 12:00pm Oral_25 Sentinel-1 Product performance 1: European Space Agency, Largo Galileo Galilei 1, 00044 Frascati, Italy; 2: RHEA for ESA, Via Galileo Galilei, 1, 00044 Frascati RM, Italy; 3: CLS, Bâtiment Le Ponant, avenue La Pérouse, 29280 Plouzané, France; 4: Aresys, Via Flumendosa n.16, 20132 Milan, Italy; 5: DLR Microwaves and Radar Institute, Münchener Straße 20, 82234 Weßling, Germany; 6: DLR Remote Sensing Technology Institute, Münchener Straße 20, 82234 Weßling, Germany 12:00pm - 12:20pm Oral_20 Sentinel-1 Interferometric Parameters Monitoring By SAR-MPC And Burst IDs In TOPS Products 1: Aresys s.r.l., Via Flumendosa 16, 20132, Milano, Italy; 2: Collecte Localisation Satellites, CLS, Av. la Pérouse Bâtiment le Ponant, 29280 Plouzané, France; 3: German Aerospace Center (DLR), Oberpfaffenhofen, Germany; 4: ESA/ESRIN, Largo Galileo Galilei 1, 00044 Frascati (Roma), Italy; 5: RHEA for ESA/ESRIN, Largo Galileo Galilei 1, 00044 Frascati (Roma), Italy 12:20pm - 12:40pm Oral_20 Improvement Of Interferometric Coherence Through RFI Mitigation In Sentinel-1 Products 1: Aresys s.r.l., Italy; 2: CLS, France; 3: ESA, Italy; 4: Rhea Group, Italy 12:40pm - 12:50pm Oral_10 Questions & Answers ESA |
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12:50pm - 2:00pm |
LUNCH |
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2:00pm - 3:40pm |
1.03.a.: Atmosphere and Ionosphere Location: Auditorium I Chair: Falk Amelung, U of Miami Chair: Giovanni Nico, Consiglio Nazionale delle Ricerche Oral_20 Towards An Interferometric Autofocus For Ionospheric Phase Signatures In Biomass German Aerospace Center (DLR), Germany 2:20pm - 2:40pm Oral_20 Spaceborne InSAR VS Airborne InSAR for Water Level Change Monitoring in Coastal Wetlands Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA. 2:40pm - 3:00pm Oral_20 Can InSAR Meteorology Contribute To A Digital Twin Of The Atmosphere? 1: Consiglio Nazionale delle Ricerche, Istituto per le Applicazioni del Calcolo, Bari, Italy; 2: Universidade de Lisboa, Faculdade de Ciências, Instituto Dom Luiz, Lisboa, Portugal 3:00pm - 3:20pm Oral_20 InSAR Tropospheric Delay Modeling Based on Its Spatiotemporal Characteristics 1: Division of Physical Sciences and Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia; 2: School of Geosciences and Info-Physics, Central South University, Changsha, China; 3: Berkeley Seismological Laboratory and Department of Earth and Planetary Science, University of California, Berkeley, CA, USA |
1.03.b: Data products and services I Location: Auditorium II Chair: Nuno Miranda, ESA-ESRIN Chair: Jose Manuel Delgado Blasco, RHEA Group Oral_20 TimeSAT - Ground Motion Pattern Detection and Classification in massive Satellite Image Time Series 1: Ecole et Observatoire des Sciences de la Terre, EOST - CNRS/Université de Strasbourg, Strasbourg, France; 2: Institut Terre et Environnement, ITES - CNRS/Université de Strasbourg, Strasbourg, France; 3: Terradue srl., Roma, Italy; 4: Terranum, Bussigny, Switzerland 2:20pm - 2:40pm Oral_20 OPERA Analysis-Ready SAR and Optical Products for Mapping Water Extent, Disturbance, and Displacement at Continental to Near-Global Scales 1: Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA; 2: University of Maryland, College Park, MD, USA; 3: United States Geological Survey, Kearneysville, WV, USA,; 4: Southern Methodist University, Dallas, TX, USA; 5: University of Alaska Fairbanks, Fairbanks, AK, USA; 6: NASA Goddard Space Flight Center, Greenbelt, MD, USA; 7: Raytheon Technologies, Pasadena, CA, USA 2:40pm - 3:00pm Oral_20 Supporting Civil Protection Activities With Spaceborne And Airborne InSAR Products In Volcanic And Seismic Regions 1: CNR-IREA, Italy; 2: Università degli studi di Napoli "Parthenope", Italy; 3: Università degli studi di Napoli Federico II, Italy 3:00pm - 3:20pm Oral_20 Nationwide Sentinel-1 PSI Surface Motion of Greece Using On-Demand SNAPPING Service of the Geohazards Exploitation Platform 1: Aristotle University of Thessaloniki (AUTh), Department of Physical and Environmental Geography, Greece; 2: Center for Interdisciplinary Research and Innovation (CIRI-AUTh), Balkan Center, Greece; 3: Grupo de investigación Microgeodesia Jaén, Universidad de Jaén, Spain; 4: Terradue s.r.l., Italy; 5: European Space Agency (ESA), Italy 3:20pm - 3:40pm Oral_20 Land Motion Monitoring Service Of Switzerland Through Interferometric Multi-Temporal Analyses Of Sentinel-1 SAR Data sarmap SA, Caslano, Switzerland |
3:40pm - 4:10pm |
Coffee Break |
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4:10pm - 5:50pm |
1.04.a: SAR Geodesy and InSAR atmospheric corrections Location: Auditorium I Chair: Michael Eineder, DLR Chair: Riccardo Lanari, IREA-CNR Oral_20 Interferometric Phase Corrections Based On ESA’s Extended Timing Annotation Dataset (ETAD) For Sentinel-1 1: Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR); 2: RHEA GROUP for European Space Agency (ESA); 3: European Space Agency (ESA) ESRIN 4:30pm - 4:50pm Oral_20 Impact of ETAD-like corrections on OPERA Coregistered Single Look Complex products from Sentinel-1 data 1: Jet Propulsion Laboratory, California Institute of Technology; 2: Southern Methodist University 4:50pm - 5:10pm Oral_20 Exploiting ETAD Data For Estimating And Filtering Out The Atmospheric Phase Screen Component From Medium/High Resolution DInSAR Products CNR-IREA, Italy 5:10pm - 5:30pm Oral_20 Capturing the Surface Deformation of the 112 km Deep Mw 6.8 2020 Earthquake, Northern Chile, using InSAR time series analysis University of Leeds, United Kingdom 5:30pm - 5:50pm Oral_20 A Comprehensive Observational Database of Deformation at Global Volcanoes for Machine Learning Applications COMET, School of Earth and Environment, University of Leeds, UK |
1.04.b: Data products and services II Location: Auditorium II Chair: Marcus Engdahl, ESA Chair: Jean-Philippe Malet, CNRS / EOST Oral_20 SNAP Microwave Toolbox 1: Brockmann/Skywatch; 2: Aristotle University of Thessaloniki (AUTh), Greece 4:30pm - 4:50pm Oral_20 SAR2CUBE - an Open Framework for an Efficient Setup of InSAR Application in Analysis Ready Data CUBES 1: DARES TECHNOLOGY, Spain; 2: Institute for Earth Observation, Eurac Research, Bolzano, Italy 4:50pm - 5:10pm Oral_20 SNAP2StaMPSv2: Increasing Features and Supported Sensors in the Open Source SNAP2StaMPS Processing Scheme 1: Research Group “Microgeodesia” Jaen, University of Jaen; 2: Department for Earth Observation, Friedrich Schiller University Jena (FSU); 3: Aristotle University of Thessaloniki (AUTh) 5:10pm - 5:30pm Oral_20 ALUs Toolbox: GPU-Accelerated Sentinel-1 and ALOS PALSAR Processing Tools AS CGI Eesti, Estonia 5:30pm - 5:50pm Oral_20 GIS-based workflows for SAR/ InSAR Science Data Systems Descartes Labs Inc, United States of America |
5:50pm - 6:20pm |
RT 1 Day 1: Round Table Discussion Location: Auditorium I |
RT 2 Day 1: Round Table Discussion Location: Auditorium II |
6:20pm - 8:00pm |
Welcome Cocktail - Ice breaker |
Date: Tuesday, 12/Sept/2023 | ||
9:00am - 10:40am |
2.01.a: Future InSAR ESA Location: PLENARY Chair: Björn Rommen, ESA/ESTEC Chair: Malcom Davidson, ESA-ESTEC Oral_20 Overview and preparation status of ESA’s Earth Explorer 7 Biomass mission ESA 9:20am - 9:40am Oral_20 The future Copernicus SAR mission constellation ROSE-L and Sentinel-1 NG ESA 9:40am - 10:00am Oral_20 Status of ESA’s Earth Explorer 10 Harmony mission 1: ESA; 2: TU Delft 10:00am - 10:20am Oral_20 Performance Analysis of the Harmony Mission for Land Applications: Results from the Phase A Study 1: German Aerospace Center (DLR), Germany; 2: University of Leeds, UK; 3: University of Bristol, UK; 4: University of Oslo, NO; 5: Simon Fraser University, CA; 6: ENVEO IT GmbH, AT; 7: Delta Phi Remote Sensing GmbH, DE; 8: Delft University of Technology, NL; 9: ESA, NL 10:20am - 10:40am Oral_20 Round table + Q&A ESA |
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10:40am - 11:10am |
Coffee Break |
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11:10am - 12:50pm |
2.02.a: Ice and Snow 1 Location: Auditorium I Chair: Thomas Nagler, ENVEO IT GmbH Chair: Anna Hogg, University of Leeds, UK Oral_20 Ice Velocity and Discharge from Ice Sheets using Complementarity of C-and L-band SAR ENVEO IT GmbH 11:30am - 11:50am Oral_20 Towards a Multi-Frequency Virtual SAR Constellation for Grounding Line Measurements 1: University of California, Irvine, United States of America; 2: Jet Propulsion Laboratory, United States of America; 3: University of Houston, Cullen College of Engineering, United States of America 11:50am - 12:10pm Oral_20 A New Methodology For Ice Shelf And Glacier Grounding Line Delineation With Synthetic Aperture Radar In Low Coherence Regions Using Tidal Motion Correlation 1: Institute for Climate and Atmospheric Science, University of Leeds, Leeds, United Kingdom; 2: Chinese Antarctic Centre of Mapping and Surveying, Wuhan University, Wuhan, People's Republic of China; 3: COMET, University of Leeds, Leeds, United Kingdom 12:10pm - 12:30pm Oral_20 Supervised Learning for Tracking Inland Glacier Flows Using TOPS Data 1: German Aerospace Center (DLR), Germany; 2: University of the Bundeswehr Munich, Germany 12:30pm - 12:50pm Oral_20 Geodetic Mass Balance of Glaciers and Icecaps from TanDEM-X in Northern High Latitudes Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany |
2.02.b.: InSAR methods Location: Auditorium II Chair: Michele Crosetto, CTTC Chair: Dinh Ho Tong Minh, INRAE Oral_20 Estimating Peatland Surface Motion With Discontinuous InSAR Time Series Data Delft University of Technology, Delft, The Netherlands 11:30am - 11:50am Oral_20 Spatial Unmixing of Pixels for More Accurate Displacement Time Series Obtained With a Small Baseline Strategy: Application on France Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, IRD, Univ. Gustave Eiffel, ISTerre, 38000 Grenoble, France 11:50am - 12:10pm Oral_20 A Novel Algorithm for Identification of Persistent Scatterers B-Open Solutions, Rome, Italy 12:10pm - 12:30pm Oral_20 Near Real Time Estimation of Unbiased Ground Displacement Time-Series With InSAR Big Data 1: California Institute of Technology, United States of America; 2: NASA Jet Propulsion Laboratory, United States of America |
12:50pm - 2:00pm |
LUNCH |
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2:00pm - 3:40pm |
2.03.a: Ice and Snow 2 Location: Auditorium I Chair: Othmar Frey, Gamma Remote Sensing / ETH Zurich Chair: Line Rouyet, NORCE Norwegian Research Centre Oral_20 Snow Depth Penetration Experiment For ESA Harmony Mission Simon Fraser University, Canada 2:20pm - 2:40pm Oral_20 Exploiting the Sentinel-1 Extra Wide Swath Mode archive for InSAR applications within the terrestrial cryosphere NORCE Norwegian Research Centre, Norway 2:40pm - 3:00pm Oral_20 Repeat Pass Interferometric and Polarimetric SAR Data for Snow Water Equivalent Retrieval 1: Microwaves and Radar Institute, German Aerospace Center; 2: Institute of Environmental Engineering, ETH Zurich; 3: Institute of Meteorology and Climate Research, KIT; 4: Alfred-Wegener-Institute, AWI 3:00pm - 3:20pm Oral_20 Assessing Rock Glacier Activity In Val Senales By Exploiting Multiband SAR Data Through Differential SAR Interferometry And Offset Tracking 1: Institute for Electromagnetic Sensing of the Environment, National Research Council of Italy (CNR-IREA); 2: EURAC Research - Institute for Earth Observation; 3: GAP s.r.l. 3:20pm - 3:40pm Oral_20 Experimental Studies on Dual Frequency InSAR Application for Snow Mass Monitoring 1: ENVEO IT GmbH; 2: German Aerospace Center; 3: European Space Agency (ESA) |
2.03.b: Ground motion service Location: Auditorium II Chair: Philippe Bally, ESA Chair: Michele Crosetto, CTTC Oral_20 A Comparison of the German and the European Ground Motion Services Karlsruhe Institute of Technology, Germany 2:20pm - 2:40pm Oral_20 European Ground Motion Service Validation 1: Sixense Iberia, Barcelona, Spain; 2: NGI (Norwegian Geotechnical Institute), Oslo, Norway; 3: BRGM (French Geological Survey), Orleans, France; 4: TNO (Netherlands Geological Survey), The Hague, Netherlands; 5: GBA (Austrian Geological Survey), Vienna, Austria; 6: Terrasigna, Bucharest, Romania; 7: EEA (European Environment Agency), Copenhagen, Denmark 2:40pm - 3:00pm Oral_20 Validation of the Ortho Product of European Ground Motion Service (EGMS) with the Previous InSAR-based Studies: a Case Study in Gävle City, Sweden Lantmäteriet, Sweden 3:00pm - 3:20pm Oral_20 The European Ground Motion Service For Cultural Heritage Monitoring ISPRA, Italy 3:20pm - 3:40pm Oral_20 Automatic Ground Deformation Area Extraction From European Ground Motion Service Products Centre Tecnologic de Telecomunicacions de Catalunya, Spain |
3:40pm - 4:30pm |
RT 1 Day 2: Round Table Discussion Location: Auditorium I |
RT 2 Day 2: Round Table Discussion Location: Auditorium II |
4:30pm - 7:00pm |
POSTER SESSION Location: Poster Session/Exhibition European Ground Motion Service Validation: An Assessment of Measurement Point Density 1: Sixense, Spain; 2: EEA (European Environment Agency), Denmark Tropospheric Correction of Sentinel-1 Synthetic Aperture Radar Interferograms with the Use of High-Resolution WRF Re-analysis Validated by GNSS Measurements 1: Institute for Environmental Research and Sustainable Development, National Observatory of Athens, Athens, Greece; 2: Laboratoire de Geologie, UMR CNRS ENS PSL 8538, Paris, France; 3: Laboratory of Atmospheric Physics, Department of Physics, University of Patras, Patras, Greece; 4: Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing, National Observatory of Athens, Athens, Greece Modelling Surface Deformation Due To Magma Migration Through Mush Zones University of Leeds, United Kingdom European Ground Motion Service Validation: Comparison with other GMS services, demonstrated at Mount Etna, Italy 1: NGI (Norwegian Geotechnical Institute), Oslo, Norway; 2: IREA (Istituto per il Rilevamento Elettromagnetico dell'Ambiente), Naples, Italy; 3: Sixense Iberia, Barcelona, Spain; 4: EEA (European Environment Agency), Copenhagen, Denmark Mapping and Characterising Lava Flows of the Fagradalsfjall Eruptions in Iceland using Sentinel-1 SAR Data 1: Department of Geoinformatics - Z_GIS, University of Salzburg, Schillerstrasse 30, 5020 Salzburg, Austria; 2: Faculty of Science, Department of Geoinformatics, Palacky University Olomouc, 17. listopadu 710/50, 779 00 Olomouc, Czechia; 3: Nordic Volcanological Center, Institute of Earth Sciences, University of Iceland, Sturlugata 7, 102 Reykjavík, Iceland; 4: Department of Earth Science, University of Bergen, Postboks 7803, 5020 Bergen, Norway Long-term Subtle Volcano Deformation Detection Using Generative Adversarial Networks 1: Data Science in Earth Observation (SiPEO), Technical University of Munich (TUM); 2: Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR) A Pulse-to-Pulse Interferometry Mode to Map Velocity Fields over Quickly Decorrelating Surfaces with the Gamma Portable Radar Interferometer Gamma Remote Sensing, Switzerland Using Free-Floating Radar Transponders to Monitor the Dutch Peatlands Delft University of Technology, the Netherlands Surface Deformation At Askja Caldera As A Response To The Interaction Of Its Magmatic System And The Tectonic Environment 1: COMET, School of Earth and Environment, University of Leeds, United Kingdom; 2: Nordic Volcanological Center, Institute of Earth Sciences, University of Iceland, Iceland.; 3: Icelandic Meteorological Office, Iceland Investigation of Atmospheric Effects on InSAR Applications in Arctic Permafrost Regions: A Comparison of Compensation Methods GACOS and Spatial Filtering 1: b.geos, Austria; 2: Gamma Remote Sensing; 3: Max Planck Institute for Biogeochemistry Jena; 4: Earth Cryosphere Institute, Tyumen Scientific Centre SB RAS Global Estimation of Ground Deformation in High Strain Areas using the PS/DS Technique and Sentinel-1 Images German Aerospace Center (DLR), Germany Clexidra Project: Soil Moisture Retrieval Over Agricultural Areas By Integration Of C-, L-, X-Band SAR Data 1: Italian Space Agency (ASI), Rome (IT); 2: e-GEOS S.p.A., Rome (IT); 3: Department of Information Engineering, Electronics and Telecommunications (DIET), Sapienza University, Rome (IT); 4: Department of Civil Engineering and Computer Science Engineering (DICII), University of Tor Vergata, Rome (IT); 5: Department of Agriculture and Forestry Sciences (DAFNE), University of Tuscia, Viterbo (IT); 6: IBF Servizi S.p.A., Jolanda di Savoia (FE), Italy European Ground Motion Service Validation: Comparison with GNSS data 1: TNO, the Netherlands; 2: Sixense Iberia, Spain; 3: Centro Nacional de Información Geográfica (CNIG), Spain; 4: Technical University of Denmark, Denmark Importance of Surface Displacement in the Selection of Optimal Location for Resource Plants Construction in Permafrost Regions: A Case Study of Athabasca Oil Sands Regions in Alberta, Canada Department of Geophysics ,Kangwon National University, Chuncheon, Republic of Korea Ionospheric Compensation in L-band InSAR Time-Series: Evaluation of Performance for Slow Deformation Contexts at Equatorial Regions University Grenoble Alpes, University Savoie Mont Blanc, CNRS, IRD, ISTerre, Grenoble, France Model of Subsidence of Pyroclastic Flow Surface: Shiveluch Volcano, Eruption 29.08.2019 1: Schmidt Institute of physics of the Earth Russian academy of sciences, Russian Federation; 2: Faculty of Physics, Lomonosov Moscow State University, Russian Federation Phase Closure Characteristics in a Range of Land Use Conditions Cornell University, United States of America Regional Strain Partitioning and Fault Coupling in Northern Central America (Guatemala, El Salvador, Honduras) from SAR Interferometry Time Series Analysis 1: Escuela de Ciencias Físicas y Matemáticas, Universidad de San Carlos de Guatemala; 2: Laboratoire de Géologie de Lyon: Terre, Planètes, Environnement (LGL-TPE), Université Lyon 1, UCBL, ENSL, CNRS; 3: German Aerospace Center, DLR; 4: Department of Geoscience, University of Wisconsin-Madison; 5: Laboratoire de Géologie, École Normale Supérieure, Paris A Benchmark for Learned SAR Data Compression On-Board Remote Sensing Technology Institute, German Aerospace Center (DLR), Weßling, Germany Understanding the Phreatic to Magmatic Transition During the Last Eruption at the Nevados de Chillan Volcanic Complex 1: University of Leeds, United Kingdom; 2: GET/UMR5563 (UPS, CNRS, IRD, CNES); Obs. Midi-Pyrénées, Université P. Sabatier, Toulouse, France; 3: Centro Sismológico Nacional, Universidad de Chile, Santiago, Chile; 4: Departamento de Ciencias de la Tierra, Universidad de Concepción, Victor Lamas 1290, Concepción, Chile Validation Of Multi-temporal DInSAR Deformation Measurements In Rural Areas In Denmark 1: Technical University of Denmark, Denmark; 2: Geopartner Inspections, Denmark; 3: Aarhus University, Denmark European Ground Motion Service Validation: Comparison with ancillary geoinformation 1: NGI (Norwegian Geotechnical Institute), Oslo, Norway; 2: IGME-CSIC (Spanish Geological Survey), Madrid, Spain; 3: CGS (Czech Geological Survey), Prague, Czechia; 4: LNEG (Laboratório Nacional de Energia e Geología), Amadora, Portugal; 5: Sixense Iberia, Barcelona, Spain; 6: EEA (European Environment Agency), Copenhagen, Denmark ISDeform: A New French National Service Of Observation For The Routine Monitoring Of Ground Deformation Related To Natural Hazards 1: ISTerre, Université Grenoble-Alpes, France; 2: EOST, Université de Strasbourg, France; 3: IPGP, Paris, France; 4: LGL-TPE, Université de Lyon, France; 5: LGL, Université Jean Monet, St Etienne, France; 6: CNES; 7: LMV, Université Blaise Pascal, France; 8: Form@Ter European Ground Motion Service Validation: Comparison with in situ monitoring data 1: Geosphere Austria, Austria; 2: European Environment Agency, Denmark Understanding the Origin of Surface Displacement in Volcanoes: A Global Perspective University of Leeds, United Kingdom A Temporal Coherence Based Solution For The Identification Of Phase Unwrapping Errors In Redundant Sequences Of Small Baseline DInSAR Interferograms 1: IREA - CNR, Napoli, Italy; 2: IREA - CNR, Milano, Italy; 3: Università di Napoli “Parthenope”, Napoli, Italy Connectivity Approach For Detecting Unreliable Measurements In PSInSAR Technical University of Denmark, Denmark A Divide and Conquer Approach for Quick 3-D MCF Phase Unwrapping University of Leeds, United Kingdom Tidal Flat Dynamic Dem Generation Using Space-borne Radar and Optical Images University of Twente, The Netherlands Dynamics of the Hydrological Network in the Karst of Fontaine de Vaucluse (SE France) from the Quantification of the Surface Deformation using Massive InSAR Data Dnalysis 1: ITES, University of Strasbourg, CNRS, Engees, France; 2: Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, IRD, Univ. Gustave Eiffel, ISTerre, 38000 Grenoble, France; 3: Laboratoire Géosciences Montpellier, Université Montpellier, CNRS, France; 4: Centre National d’Études Spatiales,Toulouse, France; 5: https://doi.org/10.24400/253171/flatsim2020 Mitigation of the Anisotropic Ionospheric Artifacts in Multi-temporal ALOS PALSAR Data over the Western Galapagos Volcanoes 1: MNR Key Laboratory for Geo-Environmental Monitoring of Great Bay Area & Guangdong Key Laboratory of Urban Informatics & Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Shenzhen, China; 2: College of Civil and Transportation Engineering, Shenzhen University, Shenzhen, China; 3: School of Architecture & Urban Planning, Shenzhen University, Shenzhen, China; 4: Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong, China; 5: Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen, China; 6: School of Geology Engineering and Geomatics, Chang’an University, Xi’an, China Interseismic deformation of the Dead Sea fault from along-track Sentinel-1 burst-overlap interferometry King Abdullah University of Science and Technology, Saudi Arabia An Experimental Assessment Of SAR And Optical Image Registration Algorithm Using Hand-crafted Fake SAR Images CEA, France A Kinematic Model For Observed Surface Subsidence Above A Salt Cavern Gas Storage Site In Northern Germany 1: Kiel University, Germany; 2: Karlsruhe Institute of Technology, Germany; 3: Geological Survey of Schleswig-Holstein, Germany Along-track velocity mapping over Tien Shan from Sentinel-1 Burst-Overlap Interferometry University of Leeds, United Kingdom An Automatic Generation of an Optimal Interferogram Network for InSAR Deformation Monitoring Sixense, Spain Artificial Intelligence Modelling of Sirjan Land Subsidence Measured by Time Series Analysis 1: Royal Belgium Institute of Natural Sciences, Geological Survey of Belgium, Brussels, Belgium; 2: Liège University, Hydrogeology & Environmental Geology, Urban & Environmental Engineering, Liège, Belgium; 3: Shiraz University, School of Engineering, Dept. of Civil and Environmental Engineering, Karimkhan St., Shiraz, Iran; 4: Department of Civil and Architectural Engineering, Sultan Qaboos University, Muscat, Oman. C-band Radar Corner Reflectors In Sweden: A Comparison Between The Reflectors With And Without Snow Covers 1: Geodetic infrastructure, Geodata division, Lantmäteriet, Gävle, Sweden; 2: Department of computer and geospatial sciences, University of Gävle, Gävle, Sweden Channels Through Time: Investigating the Evolution of Channels Through a Case Study on Pine Island Glacier 1: British Antarctic Survey; 2: University of Leeds; 3: University of Edinburgh Characterization of Aquifer System and Fulfilment of South-to-North Water Diversion Project in North China Plain Using Geodetic and Hydrological Data 1: Department of Earth and Space Sciences, Southern University of Science and Technology, Shenzhen, China; 2: State Key Lab. of Earthquake Dynamics, Institute of Geology, China Earthquake Administration, Beijing, China; 3: School of Earth and Space Sciences, Peking University, Beijing, China; 4: Department of Earth, Planetary, and Space Sciences, University of California, Los Angeles, CA, United States Characterization Of Post-failure Displacements Of The Aniangzhai Landslide In Danba County, China with Multi-temporal Radar and Optical Remote Sensing Datasets 1: Geoscience Earth Observation System Group (GEOS), School of Civil and Environmental Engineering, University of New South Wales, Sydney, Australia; 2: Department of Surveying Engineering, School of Civil and Transportation Engineering, Guangdong University of Technology; 3: School of Engineering and Design, Technical University of Munich, 80333 München, Germany Comparison Of The Latest Multi-Temporal InSAR Techniques Measuring Surface Deformation On Permanent And Distributed Scatterers sarmap SA, Switzerland Current Volcanic Activity at Azores Islands Observed by Sentinel-1 and GNSS 1: University of Leeds, United Kingdom; 2: University of Azores, Ponta Delgada, Azores; 3: University of Iceland, Reykjavik, Iceland ESA’s Extended Timing Annotation Dataset (ETAD) for Sentinel-1 – Product Overview and Progress 1: German Aerospace Center, Germany; 2: Rhea for European Space Agency; 3: European Space Agency Flash Floods in Ephemeral Valley Floors identified from SAR Amplitude and Coherence Time Series Analysis: Examples from the Atacama Desert, Chile Géosciences Environnement Toulouse, France Measuring Ice-loss Associated Uplift in Antarctic Peninsula Using SAR Interferometry University of Leeds, United Kingdom Copernicus Sentinel-1 Satellites - Nine Years of Operational Orbit Determination at the Copernicus POD Service 1: PosiTim UG, Germany; 2: GMV AD., Spain; 3: ESA/ESRIN, Italy Antarctic grounding line discharge from Sentinel-1 University of Leeds, United Kingdom A New Multi-sensor Modular SAR Focusing Architecture with Integrated Motion Compensation for Single and Repeat Pass InSAR and Tomography Applications Simon Fraser University, Canada Analysis of the Performance of Polarimetric Persistent Scatterer Interferometry on Persistent and Distributed Scatterers with Sentinel-1 Data 1: University of Alicante, Spain; 2: Delta phi remote sensing GmbH, Germany Characterising Iran's Rapidly Subsiding Regions using Earth Observation Data 1: COMET, University of Leeds, United Kingdom; 2: University of Leeds, United Kingdom; 3: Edinburgh Climate Change Institute, United Kingdom InSAR Ground Movement for the Assessment of Infrastructure Stability and Slope Hazards in the Arctic Settlements of Svalbard 1: NORCE Norwegian Research Centre, Norway; 2: University Centre in Svalbard (UNIS), Norway Integrating GNSS Local Networks Operated by Volcano Observatories to Improve the Atmospheric Corrections During InSAR Processing 1: ISTerre, Université Grenoble-Alpes, France; 2: Université Jean Monet, St Etienne, France; 3: IPGP, Paris, France; 4: Observatoire Volcanologique du Piton de la Fournaise, la Réunion Simulated Urban Scenes For Assessment Of Tomographic SAR Reconstruction Models 1: Department of Telecommunication Image Processing and radiation Lab University of Science and Technology Houari, Boumediene; 2: Jet Propulsion Laboratory, California Institute of Technology Sensitivity of Advanced InSAR Services and Products for Landslide Monitoring 1: Ecole et Observatoire des Sciences de la Terre, EOST - CNRS/Université de Strasbourg, Strasbourg, France; 2: Institut Terre et Environnement, ITES - CNRS/Université de Strasbourg, Strasbourg, France; 3: School of Geology, Aristotle University of Thessaloniki, AUTh, Thessaloniki, Greece OPERA RTC-S1 Product, Algorithm, and Validation Plan 1: University of Alaska Fairbanks, United States of America; 2: Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States of America Cross-Comparison of Satellite Differential SAR Interferometry at L-, C- and X-band for the Measurement of Summer Subsidence in Low-land Permafrost Areas 1: Gamma Remote Sensing, Gümligen, Switzerland; 2: Department of Geosciences, University of Oslo, Norway; 3: Alfred Wegener Institute, Potsdam, Germany; 4: Geography Department, Humboldt-Universität zu Berlin, Berlin, Germany; 5: b.geos GmbH, Korneuburg, Austria Generalized Space-time Classifiers for Crop Monitoring Using Sentinel-1 Data University of Maryland, United States of America Inferno: A Light Software To Process Time Series Of Radar Interferograms Images From Sentinel-1 Data. 1: CNES, France; 2: THALES GROUP, France Anomaly Detection For The Identification Of Volcanic Unrest In Satellite Imagery 1: Visual Information Laboratory, University of Bristol, United Kingdom; 2: School of Earth Sciences, University of Bristol, United Kingdom Application of SAR Time-series and Deep Learning for Estimating Landslide Occurrence Time 1: GFZ German Research Center for Geosciences, Potsdam, Germany and Leibnitz University Hannover, Hannover, Germany, Germany; 2: Institute of Photogrammetry and Geoinformation, Faculty of Civil Engineering and Geodetic Science, Leibniz University Hannover, 30167, Hannover, Germany; 3: German Aerospace Center (DLR), Muenchener Strasse 20, 82234 Wessling, Germany; 4: School of Geography and Information Engineering, China University of Geosciences, Wuhan 430078, China Crustal Deformation Associated with the Seismic Cycle in the Central Andes from InSAR and GNSS Geodetic Time Series 1: Univ. Grenoble Alpes, CNRS, IRD, ISTerre, France; 2: Instituto Geofisico del Peru, Lima, Peru; 3: CNES, Centre National d’Études Spatiales, Toulouse, France; 4: ForM@Ter Initial Validation Results from the Integrated Use of Permanent GNSS Stations and SAR Corner Reflectors in Cyprus by means of the CyCLOPS Strategic Research Infrastructure 1: Cyprus University of Technology, Cyprus; 2: German Aerospace Center, Germany; 3: ERATOSTHENES Center of Excellence Land Subsidence Over Densely Vegetated Aquifers in Texas and the Central Valley, CA Derived from Spaceborne Radar Data The University of Texas at Austin, United States of America Open Access and Analysis of InSAR Data Using the COMET-LiCS Sentinel-1 InSAR Portals 1: COMET, School of Earth and Environment, University of Leeds, UK.; 2: CEMAC, School of Earth and Environment, University of Leeds, UK.; 3: COMET, School of Earth Sciences, University of Bristol, UK.; 4: ISTerre, University Grenoble Alpes, France.; 5: Visual Information Laboratory, Department of Computer Sciences, University of Bristol, Bristol, UK. Optimizing InSAR Processing to Reduce Multilooking Biasesin Deformation Estimates 1: Commissariat à l'Energie Atomique et aux Energies Alternatives (CEA), France; 2: Laboratoire de Géologie, Ecole Normale Supérieure, CNRS UMR 8538, PSL Université, Paris, France; 3: Institut Universitaire de France, Paris, France Systematic Extraction of Volcano Deformation Source Parameters from Sentinel-1 InSAR Data 1: School of Earth Sciences, Wills Memorial Building, University of Bristol, BS8 1RL; 2: Visual Information Laboratory, University of Bristol, Trinity Street, BS1 5DD The COMET LiCSAR Sentinel-1 InSAR Processing System University of Leeds, United Kingdom Towards A Comparison Of Seismic And InSAR Derived Source Parameter Estimations And Constraints On Regional Detectability Thresholds 1: University of Leeds, United Kingdom; 2: AWE Blacknest Validating Sibling Pixel Ensembles in InSAR Time Series using Random Forests and Jackknife Resampling 1: University of Leeds, United Kingdom; 2: University of Edinburgh, United Kingdom; 3: SatSense, United Kingdom; 4: NASA JPL, USA A New Likelihood Function for Consistent Phase Series Estimation in Distributed Scatterer Interferometry Shenzhen University, China, People's Republic of Dynamic Fuel Mapping In The South Pennines Using A Multitemporal SAR Intensity And InSAR Coherence Approach 1: The University of Manchester; 2: Karlsruhe Institute of Technology "The Data Fusion Application for a Multifrequency Post-processing Analysis of A-DInSAR Data" 1: NHAZCA Srl, Via V. Bachelet 12, Rome 00185, Italy; 2: Dipartimento di Scienze della Terra, Università degli studi di Roma ''La Sapienza'', Piazzale Aldo Moro 5, Rome 00185, Italy A New InSAR Timeseries Product Tailored to Studying Subglacial Dynamic Events Technical University of Denmark, Denmark Separating Volcanic Deformation Signals at Silicic Caldera Systems Using ICA University of Bristol, United Kingdom Identification and Changes of Marginal Shear Zones of Greenland Ice Stream Over Three Decades Using the ERS-1 and Sentinel-1A/1B SAR Interferometry Technique Centre of Studies in Resources Engineering (CSRE), IIT Bombay, Mumbai - 400076, India The Stratified Tropospheric Delay and Phase Unwrapping Errors Correction for Wide-area Landslide Investigation 1: State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China; 2: School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China Ground-surface Velocities and Strain Rates for Iran, from Sentinel-1 InSAR and GNSS Data University of Leeds, COMET, School of Earth and Environment, United Kingdom Kinematics of the ∼1000 km Haiyuan Fault System in Northeastern Tibet from High-resolution Sentinel-1 InSAR Velocities: Fault Architecture, Slip Rates, and Partitioning 1: Guangdong Provincial Key Laboratory of Geodynamics and Geohazards, School of Earth Sciences and Engineering, Sun Yat-Sen University, Zhuhai 519000, China; 2: Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519082, China Monitoring Large Scale Landslide Displacements in Complicated Areas with Time Series InSAR Northeastern University, China, People's Republic of Sentinel-1 Based Information for Mutual Calibration of TanDEM-X DEMs 1: German Aerospace Center (DLR), Germany; 2: University of Houston; 3: ENVEO GmbH Monitoring Surface Deformation of Fagradalsjall Volcano during 2021 Eruption using Sentinel-1 and Improved Combined Scatterers Interferometry With Optimized Point Scatterers (ICOPS) Time-Series Interferometric Synthetic Aperture Radar (InSAR) Division of Science Education, Kangwon National University, Korea, Republic of (South Korea) SAR and InSAR Application on Temperate Raised Peatlands: New Insights on Links Between Remote Sensing Estimates and Ecohydrological Parameters 1: SFI Research Centre in Applied Geosciences (iCRAG), University College Dublin, Dublin, Ireland; 2: UCD School of Earth Sciences, University College Dublin, Dublin, Ireland; 3: UCD School of Civil Engineering, University College Dublin, Dublin, Ireland; 4: UK Centre for Ecology & Hydrology, Bangor, United Kingdom; 5: Science and Biodiversity Unit, National Parks and Wildlife Service, Dublin, Ireland; 6: School of Biosciences, University of Nottingham, Loughborough, United Kingdom; 7: Natural Resources Wales, United Kingdom; 8: TRE-ALTAMIRA, Vancouver, British Columbia, Canada; 9: RPS Group, Northern Ireland, United Kingdom Corinth Rift Near Fault Observatory being a natural laboratory as a platform for InSAR products benchmarking, validation and education. Integration of the Geohazards Exploitation Platform services 1: National Observatory of Athens, Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing, Penteli, Greece; 2: Aristotle University of Thessaloniki (AUTh), School of Geology, Department of Physical and Environmental Geography, Thessaloniki, Greece; 3: National and Kapodistrian University of Athens, Department of Geology and Geoenvironment; 4: Ecole Normale Supérieure, PSL research University, Laboratoire de Géologie - UMR CNRS 8538, Paris, France; 5: Aristotle University of Thessaloniki, Department of Physical and Environmental Geography, Thesssaloniki, Greece; 6: Terradue Srl, Rome Italy; 7: Harokopio University of Athens, Greece; 8: European Space Agency (ESA), Directorate of Earth Observation Programmes, Frascati, Italy SAR Interferometry To Detect Badlands Erosion 1: Department of Earth and Geoenvironmental Sciences (DISTEGEO), University of Bari, Italy; 2: IREA - Consiglio Nazionale delle Ricerche (CNR), Bari, Italy; 3: Geophysical Application Processing (GAP) srl, Bari, Italy Bridge Stability Analysis by Incorporating Multi-orbit X-Band SAR Displacements with Finite Element Modeling Institute for Geo-Informatics and Digital Mine Research, School of Resources and Civil Engineering, Northeastern University, China, People's Republic of Cross-Comparison of Sentinel-1 InSAR Results Using European Ground Motion Service Data Sets Spottitt Ltd, United Kingdom Deep Learning For Forest Height Estimation From InSAR Data: Potential And Challenges Using TanDEM-X And Sentinel-1 Data 1: German Aerospace Center - DLR, Germany; 2: INRAE, France; 3: University of Trento, Italy Deep Neural Network Based Automatic Grounding Line Delineation In DInSAR Interferograms 1: German Aerospace Center; 2: Technical University of Munich Obtaining Time-Series of Snow Water Equivalent in Alpine Snow by Ground-based Differential Interferometry at 1 to 40 GHz at Davos-Laret 1: Gamma Remote Sensing AG, Switzerland; 2: ESA ESTEC, Noordwijk, The Netherlands Peatland Condition And Hydrology Monitoring from SAR And InSAR imagery: A case study in central Scotland University of Stirling, United Kingdom Joint Monitoring of Height Changes and Two-dimensional Surface Deformation of Land Reclamation with TS-InSAR Technique 1: Chang'an University, China, People's Republic of; 2: Key Laboratory of Western China’s Mineral Resource and Geological Engineering, Ministry of Education Assessing TanDEM-X-Derived Digital Elevation Models for Monitoring Rapid Permafrost Thaw: A Case Study in the Mackenzie River Delta 1: Institute of Environmental Engineering, ETH Zurich, 8093 Zurich, Switzerland; 2: Microwaves and Radar Institute, German Aerospace Center (DLR) e.V., 82234 Wessling, Germany TimeSAPS: A free and open-source code for Time Series Analysis of Persistent Scatterers 1: University of Bologna, University of Rome La Sapienza, Italy; 2: University of Bologna, Italy Monitoring The World’s Largest Water Transfer Project Using InSAR 1: State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, China, People's Republic of; 2: School of Remote Sensing and Information Engineering, Wuhan University, China, People's Republic of OpenRiskMap: Large-scale Subsidence Risk Analysis Using Sentinel-1 Imagery and Open Source Geospatial Data 1: Institute of Photogrammetry and Geoinformation, Leibniz University Hanover; 2: GFZ German Research Centre for Geosciences The New Method of InSAR and GNSS Data Integration for Monitoring Strong Non-linear Ground Deformations 1: Wrocław University of Environmental and Life Sciences, Poland; 2: Delft University of Technology, Netherlands Two Effective Approaches for Improving StaMPS-SBAS InSAR Results in Monitoring Geotechnical Slopes 1: School of Civil Engineering, University College Dublin, Ireland; 2: School of Earth Sciences, University College Dublin, Ireland XBBox: A Novel Bounding Box Based Training Data Extraction Method For Deep Learning Using InSAR Faculty of Geoinformation Science and Earth Observation (ITC), University of Twente, The Netherlands Application of Temporary Coherent Scatterers for Monitoring Subsidence Associated With Coal Seam Gas Extraction in Queensland, Australia 1: SkyGeo, Netherlands; 2: Office of Groundwater Impact Assessment, Queensland, Australia Construction of High-accuracy Digital Elevation Model on the Intertidal Flats in the German Wadden Sea Pusan National University, Korea, Republic of (South Korea) Displacement Interpretation in Seasonally Incoherent Areas GISAT, s.r.o., Czech Republic Ice Shelf Area and Ice Shelf Area Change from Sentinel-1 SAR and Cryosat-2 Altimetry Data 1: German Aerospace Center (DLR), Germany; 2: ENVEO IT, Innsbruck, Austria In-Orbit Interferometric Performance Assessment of Lu Tan-1 SAR Satellite Constellation 1: Land Satellite Remote Sensing Application Center, MNR, China; 2: Chengdu University of Technology; 3: Beijing Satimage Information Technology Co. Ltd. Monitoring land subsidence along the Nile Valley in Egypt University of Twente - Faculty of ITC, Netherlands, The Multi-Frequency Interferometric Coherence Characteristics Analysis for Coherent Change Detection 1: National Key Laboratory of Microwave Imaging Technology, China; 2: Aerospace Information Research Institute, Chinese Academy of Sciences, China; 3: University of Chinese Academy of Sciences, China Thirty Years Of Volcano Geodesy From Space At Campi Flegrei Caldera (Italy) 1: Istituto Nazionale di Geofisica e Vulcanologia - Sezione di Roma "Osservatorio Nazionale Terremoti", Italy; 2: Istituto Nazionale di Geofisica e Vulcanologia - Sezione di Napoli "Osservatorio Vesuviano", Italy Towards TanDEM-X 4D With DEM Change Map Stacks Over Glaciers And Ice Fields German Aerospace Center (DLR), Germany Coastal Change from Space using Sentinel-1 1: isardSAT Ltd, United Kingdom; 2: ARGANS Ltd, United Kingdom; 3: British Geological Survey, United Kingdom; 4: Geological Survey Ireland, Ireland; 5: IHCantabria, Spain Construction-induced Subsidence in South Florida’s Young Limestone U of Miami, United States of America InSAR-derived Vertical Land Motion over North America: A Scalable Approach for the upcoming OPERA DISP products Jet Propulsion Laboratory, California Institute of Technology, United States of America InSAR Application For The Detection Of Precursors Of The Achoma Landslide, Peru 1: University of Birmingham, United Kingdom; 2: University of Grenoble-Alpes, France Measuring Post-Emplacement Lava Deformation in La Palma With InSAR 1: Geological and Mining Institute of Spain (IGME-CSIC), Spain; 2: Instituto de Productos Naturales y Agrobiología (IPNA-CSIC); 3: Centre Tecnològic de Telecomunicacions de Catalunya (CTTC) The European Ground Motion Service – Status of Production, Validation and User Uptake European Environment Agency, Denmark A Multidisciplinary Approach To Assess The Kinematics Of The Pisciotta Deep-Seated Gravitational Slope Deformation (Southern Italy) 1: Istituto Nazionale di Geofisica e Vulcanologia, Italy; 2: Università degli Studi di Cassino e del Lazio meridionale, Italy; 3: Geoservizi s.r.l., Italy Using Optical and Radar Remote Sensing to Study Envrionmental Impacts of Explosive Volcanic Eruptions Revealed by Forest Destruction and Vegetation Recovery Patterns 1: School of Earth and Environment, University of Leeds; 2: School of Geography, Earth and Environmental Sciences, University of Birmingham; 3: School of Geosciences, The University of Edinburgh Ice Speed Change in the Amundsen Sea Embayment, West Antarctica Across the Sentinel-1 Operational Period 1: University of Leeds, United Kingdom; 2: British Antarctic Survey, United Kingdom Monitoring of Terrain Deformation and Sinkhole Hazard with Corner Reflector SAR Interferometry 1: Polish Geological Institute - National research Institute; 2: PPO.Labs; 3: Northern Research Institute Assessment Of Soil Moisture And Vegetation Water Content Effects On C-Band Insar-Derived Surface Deformation 1: Academia Militar; 2: IDL, Faculdade de Ciências da Universidade de Lisboa; 3: Consiglio Nazionale delle Ricerche (CNR) Crop Monitoring In Ireland With SAR To Quantify Agricultural Stability And Climate Resilience 1: School of Natural Sciences & Ryan Institute, University of Galway, Galway, Ireland; 2: Agriculture and Bioeconomy Research Centre, Ryan Institute, University of Galway, Galway, Ireland Detecting Landslide State Activity Using A-DInSAR From Continental To Local Scales Machine Intelligence and Slope Stability Laboratory, Department of Geosciences, University of Padova, Italy European Ground Motion Service Validation: Comparison With Inventories Of Phenomena 1: BRGM French Geological Survey, France; 2: IGME Instituto Geológico y Minero de España, Spain Grounding Line Migration on Cook Glacier, East Antarctica, from 1996-2021 Observed by Double-Differential SAR Interferometry Department of Geophysics, Kangwon National University, Korea, Republic of (South Korea) Ice Ridge Extraction Based on Synthetic Aperture Radar Interferometry 1: National Key Laboratory of Microwave Imaging Technology; 2: Key Laboratory of Digital Earth Science; 3: Aerospace Information Research Institute, Chinese Academy of Sciences; 4: University of Chinese Academy of Sciences Inconsistency Phase Correction with Closure Phase Based on SBAS Baseline Selection 1: Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), China, People's Republic of; 2: Ministry of Natural Resources (MNR) Key Laboratory for Geo-Environmental Monitoring of Great Bay Area & Guangdong Key Laboratory of Urban Informatics & Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Shenzhen, 518060, China.; 3: College of Civil and Transportation Engineering, Shenzhen University, Shenzhen, 518060, China.; 4: School of Architecture & Urban Planning, Shenzhen University, Shenzhen, 518060, China. Joint Exploitation Of Sentinel-1 And SAOCOM-1 SAR Data For Accurate Surface Deformation Retrieval Of The February 2023 South-East Turkey Mw 7.8 And Mw 7.5 Seismic Events 1: IREA-CNR, Italy; 2: INGV, Italy; 3: Università degli Studi di Napoli “Parthenope”, Italy Processing of 2015-2021 Sentinel-1 Over France Using NSBAS And Comparison With EGMS Products 1: Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, IRD, Univ. Gustave Eiffel, ISTerre, Grenoble France; 2: Centre National d’Études Spatiales,Toulouse, France; 3: ForM@Ter data and service pole, https://doi.org/10.24400/253171/flatsim2020 Reconstructing of High-Spatial-Resolution VTEC and Three-Dimensional Electron Density from SAR Imagery 1: Chang'an University, China, People's Republic of; 2: Shenzhen University,China, People's Republic of Surface Displacement of Musan Open Pit Mine Based on The PSInSAR Technique Using Sentinel-1 Images Kangwon National University, Korea, Republic of (South Korea) Pluto: A Global Volcanic Activity Early Warning System Powered by Deep Learning 1: National Observatory of Athens, Greece; 2: Harokopio University of Athens, Greece Recent Advances For Transport Infrastructure Monitoring: Satellite Remote Sensing And Non-Destructive Testing Methods 1: Roma Tre University, Department of Civil, Computer Science and Aeronautical Engineering; 2: School of Computing and Engineering, University of West London (UWL); 3: The Faringdon Research Centre for Non-Destructive Testing and Remote Sensing, University of West London (UWL) Do Active Subglacial Lake Networks Beneath Antarctic Glaciers Cause Ice Dynamic Change? University of Leeds, United Kingdom Monitoring Severe Storm Impacts and Climate Trends in the Southeastern US using Satellite-Based Proxy Indicators: A Case Study of Hurricane Sally 1: K. N. Toosi University of Technology; 2: Auburn University; 3: University of Leeds Analysis Ready SAR Backscatter and Interferometric Coherence Data for Professional and Non-Professional Users KappaZeta Ltd, 51007 Tartu, Estonia Detection of Infrastructure Instability – The 2022 Lutca Bridge Colapse 1: Military Technical Academy "Fedinand I", Romania; 2: Terrasigna SLR European Ground Motion Service Validation: Comparison with Corner Reflectors (CR) 1: Netherlands Organisation for Applied Scientific Research (TNO), the Netherlands; 2: Sixense Iberia, Barcelona, Spain; 3: Geopartner, Denmark; 4: Norwegian Water Resources and Energy Directorate (NVE), Norway; 5: The National Institute of Geographic and Forest Information, France Land Subsidence Assessment Due to Groundwater Exploration on Qazvin Agriculture Area 1: Tehran university; 2: Soil Conservation and Watershed Management Research Institute (SCWMRI), Iran, Islamic Republic of; 3: Geological Survey of Iran (G.S.I) Multi-temporal InSAR data for agroecosystem status assessment in Timis County, Romania Romanian Space Agency, Romania Present-Day Tectonic Deformation Across Chinese Tianshan From Satellite Geodetic data 1: State Key Lab of Earthquake Dynamics, Institute of Geology, China Earthquake Administration, Beijing, China; 2: The Second Monitoring and Application Center, China Earthquake Administration, Xi’an, China Temporal and Spatial Relationships Between the Ground Displacements and Dewatering Activities During Tunneling in Frankfurt am Main, Germany SkyGeo Mapping Antarctic Crevasses and their Evolution with Deep Learning Applied to Satellite Radar Imagery 1: School of Earth and Environment, University of Leeds, Leeds, UK, United Kingdom; 2: School of Geographical Sciences, University of Bristol, Bristol, UK, United Kingdom; 3: School of Computing, University of Leeds, Leeds, UK, United Kingdom Detecting Surface Displacement In Kathmandu Valley With Persistent Scatterer Interferometry Survey Department, Nepal Estimation and Validation of ITS_LIVE V2.0 Glacier Velocity Products of Mountain Glaciers Using In Situ GPS Data 1: National Space Science Center, Chinese Academy of Sciences,Beijing,100190,China; 2: University Grenoble Alpes, IRD, CNRS, Grenoble INP, IGE, Grenoble, 38000, France; 3: Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA An Improved Multi-temporal InSAR Approach for Linear Infrastructure Monitoring 1: Institut für Photogrammetrie und GeoInformation, Germany; 2: Deutsches GeoForschungsZentrum, Potsdam Time Series Ionospheric Phase Estimation: An Extension of the Group-Phase Delay Difference Method Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China Long-term Monitoring and Modelling of Terrain Deformations in a Region of Intensive Underground Mining – Upper Silesian Coal Basin, Poland 1: Wrocław University of Environmental and Life Sciences (UPWr), Poland; 2: sarmap SA, Switzerland; 3: National Institute of Geophysics and Volcanology (INGV), Italy Measuring The Deformation Of Crude Oil Storage Tanks With Interferometry 1: Kayrros SAS; 2: Université Paris-Saclay, ENS Paris-Saclay, CNRS, Centre Borelli, 91190, Gif-sur-Yvette, France; 3: Institut de Physique du Globe de Paris, Université Paris VII, France Monitoring Slope Movements That May Jeopardize The Safety Of Dams: The Case Of Castril And The Portillo Dam (Granada, Southern Spain) 1: Department of Cartographic, Geodetic and Photogrammetry Engineering, University of Jaén, Campus Las Lagunillas s/n, 23071 Jaén (Spain); 2: Centre for Advanced Studies in Earth Sciences, Energy and Environment (CEACTEMA), University of Jaén, Campus Las Lagunillas s/n, 23071 Jaén (Spain); 3: Research Group RNM-282 Microgeodesia Jaén, University of Jaén, Campus Las Lagunillas s/n, 23071 Jaén (Spain); 4: Topography and Geomatics Lab. ETS ICCP, Polytechnical University of Madrid, Spain; 5: Department of Civil Engineering; University of Granada, Spain; 6: Department of Geology, University of Jaén, Campus Las Lagunillas s/n, 23071 Jaén, Spain; 7: insar.sk s.r.o., Slovakia; 8: Department of Finance, Accounting and Mathematical Methods, Faculty of Management and Business, University of Presov in Presov, Slovakia; 9: School of Earth and Environment, University of Leeds, United Kingdom; 10: IT4Innovations, VSB-TU Ostrava, Czechia; 11: Raser Limited, Hong Kong, China; 12: CIRGEO, Università degli Studi di Padova, Italy; 13: Department of Theoretical Geodesy, Slovak University of Technology in Bratislava, Slovakia; 14: Inteligencia Geotécnica SpA, Chile; 15: Center for Technology and Geosciences, Department of Cartographic and Surveying Engineering, Federal University of Pernambuco, Cidade Universitária, Av. Prof. Moraes Rego, 1235, Recife 50670-901, Brazil; 16: Department of Software Engineering, University of Granada, Spain; 17: Universidade de Trás-os-Montes e Alto Douro, Vila Real, Portugal; 18: INESC-TEC - INESC Technology and Science, Porto, 4200-465, Portugal Observation Of Ground Subsidence Due To Consolidation In Reclaimed Land In Busan (South Korea) Using Persistent Scatterer Interferometry 1: Pusan National University, Korea, Republic of (South Korea); 2: Institute of Atmospheric Sciences and Climate (ISAC), National Research Council (CNR), Italy Sentinel-1 3D: Constellation of Bistatic Passive Receiver Satellites Formation Flying with Sentinel-1 for Operational Applications 1: KappaZeta Ltd, 51007 Tartu, Estonia; 2: Tallinn University of Technology, 12616 Tallinn, Estonia; 3: Aalto University, 02150 Espoo, Finland Impact of Sea Water Intrusion on Surface Deformation along the coastal areas of Pakistan using SAR Interferometry Dipartimento di Ingegneria, Università degli Studi di Napoli Parthenope, Italy Generate Accurate End-Of-Field-Life (EoFL) Forcast For Detailed Surface Subsidence Patterns With Modified Approach Using Survaliance Data 1: Petroleum Development Oman, Oman; 2: Shell, Netherlands; 3: Shell, United States; 4: Mohammed VI Polytechnic University, Morocco Cultural Heritage Damage Assessment In Areas Of War Conflict Using Sentinel-1 And Sentinel-2 Data University of Salzburg, Austria Deformation monitoring using Sentinel-1 data and the Differential SAR Interferometry techniques in the Mexicali Valley, northwestern Mexico. Earth Sciences Division, CICESE, Mexico Machine-Learning Inversion of Forest Vertical Structure for Single-baseline P-Band Pol-InSAR 1: National Key Laboratory of Microwave Imaging Technology; 2: Aerospace Information Research Institute,Chinese Academy of Sciences; 3: University of Chinese Academy of Sciences Tectonic And Non-Tectonic Deformation Measurements Using Psinar, Western India Institute of Seismological Research, India "PSI and LiDAR Data Integration for a Better Understanding of Deformation Behavior" 1: Wroclaw University of Environmental and Life Sciences, Poland; 2: Delft University of Technology, The Netherlands Assessing Natural and Anthropogenic Ground Deformation Using Sentinel-1 PSI in the Region of Cluj-Napoca, Romania 1: Geo-Sentinel Ltd, Hungary; 2: Geo Search Srl, Romania Integrating Satellite Remote Sensing and Ground Penetrating Radar for Multi-Scale Tree Health Monitoring: A Preliminary Investigation 1: School of Computing and Engineering, University of West London, St Mary’s Road, Ealing, London W5 5RF, UK; 2: The Faringdon Research Centre for Non-Destructive Testing and Remote Sensing, University of West London, St Mary’s Road, Ealing, London W5 5RF, UK; 3: Tree Service, London Borough of Ealing, Perceval House, London, UK Analysis of Surface Deformations in the Patras Region 1: Fraunhofer IOSB, Germany; 2: Karlsruher Institut für Technologie (KIT), Germany Analysis of External DEM on Open-pit Mining Area Deformation Monitoring by Means of LuTan-1 SAR 1: Land Satellite Remote Sensing Application Center, MNR, China, People's Republic of; 2: National Geomatics Center of China Digital Twin For Infrastructure Management: An Experimental Implementation Of Remote Sensing Data 1: Roma Tre University, Department of Civil, Computer Science and Aeronautical Engineering; 2: Sapienza University of Rome, Department of Civil, Constructional and Environmental Engineering A Multi‐source Remote Sensing Technical Framework For Wide-area Landslide Detection Chang'an University, China, People's Republic of Interferogram Atmospheric Correction: A GACOS Application Case On The Canary Islands. Instituto Geográfico Nacional, Spain Precise Geolocation of Scatterers in Portuary Environments 1: Detektia, Spain; 2: Higher Technical School of Naval Engineers (ETSIN UPM) Monitoring Of Slope Deformation Around Nainital, India, Through Sentinel-1 SAR Data Using SBAS And PSI Techniques 1: National Remote Sensing Centre (NRSC), Indian Space Research Organisation (ISRO), India; 2: Sarmap SA, Caslano, 6987, Switzerland Severe Land Subsidence in Urban Areas of North-Western India Due to Groundwater Over-Exploitation CSIR-National Geophysical Research Institute, India The use of Sentinel-1 PSI Time Series to Evaluate Ground Motion Prior to Landslides: Case Study of a Wall Collapse in an Urban Area (Lisbon, Portugal) Instituto Superior Técnico, University of Lisbon, Portugal Multi-sensor monitoring of infrastructure in fast deforming zones of underground mining – Upper Silesian Coal Basin, Poland Wrocław University of Environmental and Life Sciences, Poland Deformation Monitoring through Dual-Polarized Interferograms based on WDMCA The Hong Kong Polytechnic University, Hong Kong S.A.R. (China) Modelling the Hokkaido Landslides Using the InSAR Method Institute of Seismology, Department of Geosciences and GeographyPhysical Geography, Faculty of Geogrphy, University of Tehran Design and Implementation of an Early Warning Monitoring System for Land Deformations and Displacements for the Municipality of Arbeláez Colombia. 1: Universidad of Cundinamarca, Colombia; 2: Universidad Politecnica Madrid SAR Tomographic Profiling of Seasonal Alpine Snow at L/S/C-Band, X/Ku-Band, and Ka-Band Throughout Entire Snow Seasons Retrieved During the ESA SnowLab Campaigns 2016-2020 1: Gamma Remote Sensing, Switzerland; 2: ETH Zurich, Switzerland; 3: WSL Institute for Snow and Avalanche Research SLF, Switzerland Covariance-Based Ground Truth Integration into Multi-Temporal InSAR for Spatially Correlated Error Correction Institute of Photogrammetry and Remote Sensing, Karlsruhe Institute of Technology, Germany Flood Monitoring Through Advanced Modeling of SAR Intensity and InSAR Coherence Temporal Stacks 1: IREA - Consiglio Nazionale delle Ricerche (CNR), Bari, Italy; 2: Department of Earth and Geoenvironmental Sciences (DISTEGEO), University of Bari, Italy; 3: Geophysical Application Processing (GAP) srl, Bari, Italy Multi-band SAR Interferometry For Snow Water Equivalent Estimation Over Alpine Mountains 1: Institute for Electromagnetic Sensing of the Environment, National Research Council of Italy (CNR-IREA); 2: Institute of Applied Physics, National Research Council of Italy (IFAC-CNR) Rapid grounding line retreat of Ryder Glacier, Northern Greenland, from 1992 to 2021 1: CACSM, Wuhan University, China; 2: COMET, University of Leeds, United Kingdom; 3: ICAS,University of Leeds, United Kingdom Tracking the Evolution of Summit Lava Domes of Merapi Volcano Using TanDEM-X Data 1: University Grenoble Alpes, University Savoie Mont Blanc, CNRS, IRD, Université. Gustave Eiffel, ISTerre, Grenoble, France; 2: Geophysical Institute, University of Alaska Fairbanks, Fairbanks, AK, USA; 3: Université de Paris, Institut de physique du globe de Paris, CNRS, 75005 Paris, France; 4: Center for Volcanology and Geological Hazards Mitigation, Indonesia Tracking Topographic Changes on Erupting Volcanoes Using Radar Satellite Imagery Institut de Physique du Globe de Paris (IPGP), France CHORUS SAR Constellation: A Mission Capability Overview MDA |
Date: Wednesday, 13/Sept/2023 | ||
9:00am - 10:40am |
3.01.a: Advances in InSAR theory I Location: Auditorium I Chair: Pau Prats-Iraola, German Aerospace Center (DLR) Chair: Yngvar Larsen, NORCE Oral_20 A Comparative Study of Phase Bias in C-band and L-band InSAR 1: University of Leeds, United Kingdom; 2: SatSense, United Kingdom; 3: University of Edinburgh, United Kingdom; 4: NASA JPL, USA 9:20am - 9:40am Oral_20 Towards a Universally Applicable Phase Bias Correction for Short-Term Multi-Looked Interferograms: Challenges and Progress COMET, School of Earth and Environment, University of Leeds, LS2 9JT, UK 9:40am - 10:00am Oral_20 InSAR Closure Phase Time Series for Soil Moisture Measurement 1: Stanford University, United States of America; 2: Washington University in St. Louis, United States of America 10:00am - 10:20am Oral_20 Efficient Earth Surface Monitoring with TomoSAR: From PSDS to ComSAR and the Vital Role of Phase Linking Technique UMR TETIS, INRAE, France 10:20am - 10:40am Oral_20 Modeling Soil Moisture with Cumulated Closure Phase of Interferometric SAR Measurements 1: California Institute of Technology, United States of America; 2: Jet Propulsion Laboratory, California Institute of Technology, United States of America |
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10:40am - 11:10am |
Coffee Break |
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11:10am - 12:50pm |
3.02.a: Displacements and deformations 1 Location: Auditorium I Chair: Mario Costantini, B-Open Solutions Chair: Rachel Holley, CGG Satellite Mapping Oral_20 Iron Mining Induced Subsidence Mapping Of Musan, North Korea Derived By Improved Combination Scatterers With Optimized Point Scatterers (ICOPS) For Insar Time-Series Analysis Division of Science Education, Kangwon National University, Korea, Republic of (South Korea) 11:30am - 11:50am Oral_20 InSAR Monitoring In Areas With Rapidly Changing Elevation CGG Satellite Mapping, United Kingdom 11:50am - 12:10pm Oral_20 InSAR analysis and Corner Reflector Experiments for Infrastructure Stability Monitoring Using Sentinel-1 Imagery 1: Spottitt Ltd., Electron Building, Fermi Ave, Harwell, UK; 2: School of Aerospace, Transport & Manufacturing, Cranfield University; 3: Strategy and Innovation, Network Strategy and Operations, Electricity Transmission, National Grid 12:10pm - 12:30pm Oral_20 Concurrent Car-Borne Repeat-Pass SAR Interferometry at L-Band and Ku-Band For Mobile Mapping of Ground Motion on Alpine Valley Slopes 1: Gamma Remote Sensing, Gümligen, Switzerland; 2: ETH Zurich, Zurich, Switzerland 12:30pm - 12:50pm Oral_20 Extensive Analysis Of The Built-up Environment Deformations Through The Full Resolution P-SBAS DInSAR Processing Of COSMO-SkyMed And SAOCOM-1 Data 1: IREA-CNR, Italy; 2: Università degli Studi di Napoli “Federico II”, Napoli, Italy; 3: Italian Space Agency (ASI), Roma, Italy; 4: Università degli Studi di Napoli “Parthenope”, Napoli, Italy |
3.02.b: Volcanoes I Location: Lecture 3/Roger Stevens Bld Chair: Fabien Albino, ISTerre, Université Grenoble-Alpes Chair: Julia Kubanek, European Space Agency (ESA) Oral_20 Ground Deformation in the Western Galápagos: Shallow Unrest and Shared Magma Dynamics 1: School of Earth and Environment, University of Leeds, Leeds, UK; 2: Department of Physics and Astronomy, University of Bologna, Bologna, Italy; 3: Cryospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, USA; 4: BOS Technologies LLC, Lafayette, CO, USA; 5: School of GeoSciences, University of Edinburgh, Edinburgh, UK; 6: Instituto Geofísico, Escuela Politécnica Nacional, Quito, Ecuador 11:30am - 11:50am Oral_20 InSAR Reveals Interaction Between an Inflating Magma Chamber and Caldera Ring Faults at Askja Volcano, Iceland 1: KAUST, Saudi Arabia; 2: GFZ - Potsdam, Germany 11:50am - 12:10pm Oral_20 The ISVOLC Project - Addressing the Effects of Climate Change-induced Ice Retreat on Seismic and Volcanic Activity 1: Icelandic Meteorological Office, Iceland; 2: Nordic Volcanological Center, Institute of Earth Sciences, University of Iceland, Iceland; 3: Department of Earth Sciences, Uppsala University, Sweden; 4: Istituto Nazionale di Geofisica e Vulcanologia, Italy; 5: Université Grenoble-Alpes, France; 6: COMET, School of Earth and Environment, University of Leeds, UK; 7: Department of Earth Sciences, University of Gothenburg, Sweden; 8: Department of Earth Sciences, University of Cambridge, UK; 9: GNS Science, Lower Hutt, New Zealand; 10: Icelandic Department of Civil Protection and Emergency Management, Iceland 12:10pm - 12:30pm Oral_20 InSAR for Ground Deformation Processes at the Tulu Moye Volcanic Complex, Main Ethiopian Rift 1: University of Pisa, University of Florence; 2: University of Pisa; 3: University of Iceland; 4: University of Florence, University of Southampton; 5: University of Pisa; 6: TMGO/Rekjavik Geothermal |
12:50pm - 2:00pm |
LUNCH |
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2:00pm - 3:40pm |
3.03.a: Displacements and deformations 2 Location: Auditorium I Chair: Deodato Tapete, Italian Space Agency (ASI) Chair: John F. Dehls, Geological Survey of Norway Oral_20 ICEYE DInSAR and InSAR Time Series for Ground Displacement Mapping Gamma Remote Sensing, Switzerland 2:20pm - 2:40pm Oral_20 All Slopes In Iceland Are Moving 1: King Abdullah University of Science and Technology (KAUST), Saudi Arabia; 2: Now at GNS Science, Lower Hutt, New Zealand 2:40pm - 3:00pm Oral_20 From the European Ground Motion Sercive to the Displacement Gradients: A Tool to Assess the Potential Damage of Structure and Infrastructure Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), Spain 3:00pm - 3:20pm Oral_20 Ground Displacement Mapping with L-band Persistent Scatterer Interferometry Gamma Remote Sensing, Switzerland 3:20pm - 3:40pm Oral_20 Quasi-continental Sentinel-1 InSAR Investigation of Land Subsidence and Aquifer-system Storage Loss in Central Mexico 1: National Research Council, Italy; 2: Italian Space Agency, Italy |
3.03.b: Volcanoes II Location: Lecture 3/Roger Stevens Bld Chair: Paul Randall Lundgren, Jet Propulsion Laboratory Chair: Juliet Biggs, University of Bristol Oral_20 2021-2023 Unrest and Geodetic Observations at Askja Volcano, Iceland 1: Icelandic Meteorological Office, Iceland; 2: COMET, School of Earth and Environment, University of Leeds, UK; 3: Nordic Volcanological Center, Institute of Earth Sciences, University of Iceland, Iceland; 4: Department of Earth Sciences, University of Gothenburg, Sweden; 5: Geophysical Institute, University of Alaska Fairbanks, United States; 6: GNS Science, Lower Hutt, New Zealand 2:20pm - 2:40pm Oral_20 What’s Next for Mauna Loa Volcano? Stress Changes Due to the 2022 Intrusion and Eruption U of Miami, United States of America 2:40pm - 3:00pm Oral_20 Variable Ground Deformation Rates Since May 2022 at Chiles-Potrerillos Volcanoes, Ecuadorian-Colombia Border 1: Escuela Politécnica Nacional, Instituto Geofísico, Quito-Ecuador; 2: University of Leeds, School of Earth and Environment, Leeds-United Kingdom; 3: Observatorio Vulcanológico y Sismologico, Colombian Geological Survey, Pasto-Colombia; 4: Volcano Disaster Assistance Program, U.S. Geological Survey, Moffett Field-California 3:00pm - 3:20pm Oral_20 Simulating Satellite Radar Measurements of Volcanic Eruptions in Preparation for ESA’s Harmony Mission. 1: School of Earth Sciences, University of Bristol, UK.; 2: Visual Information Laboratory, University of Bristol, UK.; 3: German Aerospace Center (DLR), Microwaves and Radar Institute, DE. 3:20pm - 3:40pm Oral_20 Volcano Science and Applications Observation Needs From Future Topography Missions 1: Jet Propulsion Laboratory, California Institute of Technology, United States of America; 2: University of Arizona, United States of America; 3: USGS Alaska Volcano Observatory, United States of America; 4: Institut de Physique du Globe de Paris, Université de Paris, France; 5: Geophysical Institute, University of Alaska, United States of America; 6: USGS Yellowstone Volcano Observatory, United States of America; 7: USGS California Volcano Observatory, United States of America; 8: Universidad de Chile, Chile |
3:40pm - 4:10pm |
Coffee Break |
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4:10pm - 5:50pm |
3.04.a: Earthquake and Tectonics 1 Location: Auditorium I Chair: Ekaterina Tymofyeyeva, NASA Jet Propulsion Laboratory Chair: Tim J Wright, University of Leeds Oral_20 The Importance of InSAR Data in Mapping Subduction Zone: The example of the Coupling over the Hikurangi Subduction Zone 1: Massachusetts Institute of Technology, United States of America; 2: GNS Science, New Zealand; 3: Institute for Geophysics, University of Texas, Austin, Texas 78758, USA; 4: Intitut des Sciences de la Terre, Universite Grenoble Alpes 4:30pm - 4:50pm Oral_20 Evidence for Slip Partitioning and Active Faulting Along the Longmu Gozha Co Fault (LGCF) System from Continental-scale, Sentinel-1 InSAR Time-series analysis 1: Université de Paris, Institut de Physique du Globe de Paris, France, Now at Institut de Radioprotection et Sûreté Nucléaire (IRSN), PSE-ENV, SCAN, BERSSIN, Fontenay-aux-Roses, 92262, France; 2: Université de Paris, Institut de Physique du Globe de Paris, France; 3: Univ Lyon, Univ Lyon 1, ENSL, CNRS, LGL-TPE, F-69622, Villeurbanne, France; 4: University Grenoble Alpes, University Savoie Mont Blanc, CNRS, IRD, IFSTTAR, ISTerre, Grenoble, France; 5: CNES: Centre National d’Études Spatiales, 75039 Toulouse, France; 6: Université de Paris, Institut de Physique du Globe de Paris, France; Univ Lyon, Univ Lyon 1, ENSL, CNRS, LGL-TPE, F-69622, Villeurbanne, France; University Grenoble Alpes, University Savoie Mont Blanc, CNRS, IRD, IFSTTAR, ISTerre, Grenoble, France; CNES: Centre National d’Études Spatiales, 75039 Toulouse, France 4:50pm - 5:10pm Oral_20 Thirty Years Of Postseismic Deformation On Continental Normal Faults Measured By Multi-Satellite InSAR Time-Series 1: University of Leeds; 2: British Geological Survey; 3: University of Cambridge 5:10pm - 5:30pm Oral_20 Can we observe North Andean Sliver motion using Sentinel-1 InSAR time-series analysis? 1: University Grenoble Alpes, University Savoie Mont Blanc, CNRS, IRD, ISTerre, Grenoble, France; 2: Université Côte d’Azur, IRD, CNRS, Observatoire de la Côte d’Azur, Géoazur, 06560 Valbonne, France; 3: Université Paris Cité, Institut de Physique du Globe de Paris, Paris, France; 4: Sorbonne Université, Institut des Sciences de la Terre Paris, ISTeP, UMR 7193, F-75005 Paris, France 5:30pm - 5:50pm Oral_20 Strain Accumulation Mapping and Modeling Along the Central-eastern Altyn Tagh Fault (NW Tibet) with Sentinel-1 InSAR and GNSS Data COMET, School of Earth and Environment, University of Leeds, Leeds, UK |
3.04.b: Volcanoes III Location: Lecture 3/Roger Stevens Bld Chair: Susanna Ebmeier, University of Leeds Chair: Adriano Nobile, KAUST Oral_20 Deep Learning Approaches To Detecting Volcano Deformation In The Global Sentinel-1 Dataset 1: University of Bristol, United Kingdom; 2: University of Leeds, United Kingdom; 3: ISTerre, France 4:30pm - 4:50pm Oral_20 Machine Learning for Volcano Deformation: Moving Beyond Detection and Classification to Forecasting 1: COMET, University of Leeds, United Kingdom; 2: COMET, University of Bristol, United Kingdom; 3: School of Computing, University of Leeds, United Kingdom 4:50pm - 5:10pm Oral_20 Routine Global Volcano Monitoring Using Sentinel-1 Data and the LiCSAlert Algorithm University of Leeds, United Kingdom 5:10pm - 5:30pm Oral_20 The Government of Canada's First Operational InSAR Based Volcano Monitoring System 1: Geological Survey of Canada, Canada; 2: Canadian Hazards Information Service |
5:50pm - 6:10pm |
RT 1 Day 3: Round Table Discussion Location: Auditorium I |
RT 2 Day 3: Round Table Discussion Location: Lecture 3/Roger Stevens Bld |
Date: Thursday, 14/Sept/2023 | |||
9:00am - 10:40am |
4.01.a: Advances in InSAR theory II Location: PLENARY Chair: Ramon Hanssen, Delft University of Technology, Faculty of Civil Engineering and Geosciences, Chair: Howard A Zebker, Stanford University Oral_20 A Novel Multi-Temporal DInSAR Phase Unwrapping Algorithm Based On Compressive Sensing and Minimum Cost Flow Techniques 1: Istituto per il Rilevamento Elettromagnetico dell'Ambiente (IREA), CNR, Napoli, Italy; 2: Università di Napoli “Parthenope”, Napoli, Italy 9:20am - 9:40am Oral_20 Fine-Scale Measurement Of Deformation From Removal Of Decorrelated Pixels In InSAR Time Series – A Proposed Data Flow For High-Volume InSAR Systems Stanford University, United States of America 9:40am - 10:00am Oral_20 A Reinterpretation of Temporal InSAR Coherence for Multitemporal SAR and Polarimetric SAR Data Classification 1: Universitat Politecnica de Catalunya, Spain; 2: Institut d'Estudis Espacials de Catalunya, Spain; 3: Yunnan University, China 10:00am - 10:20am Oral_20 A Generic Noise Model for InSAR Time Series Based on Stepwise Error Propagation 1: School of Surveying and Geospatial Engineering, University of Tehran, Iran; 2: Department of Geodesy and Geomatics Engineering, K. N. Toosi University of Technology, Iran |
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9:20am - 10:40am |
4.01.c: The 6 February 2023 Kahramanmaraş, Türkiye earthquake sequence Location: Lecture 3/Roger Stevens Bld Chair: Henriette Sudhaus, Kiel University Chair: Mustapha Meghraoui, University of Strasbourg Oral_20 Earthquake Cycle Deformation along the East Anatolian Fault: Implications from 2023 Earthquake Sequence Rupture, Fault Slip Behavior and Historical Seismicity 1: Istanbul Technical University, Maaden Facultesi, Istanbul, Turkey; 2: ITES, CNRS-UMR 7063, University of Strasbourg, France; 3: Kandilli Observatory, Dept. of Geodesy, Istanbul, Turkey; 4: Yildiz Technical University, Faculty Of Civil Engineering, Istanbul, Turkey 9:40am - 10:00am Oral_20 The French CIEST² Initiative: Results From The 2023 Turkey-Syria Earthquakes Sequence 1: BRGM French Geological Survey, France; 2: Centre National d’Etudes Spatiales (CNES), 18 Avenue Edouard Belin, F-31401 Toulouse, France; 3: Institut de Physique du Globe de Paris, Equipe de Tectonique et Mecanique de la Lithosphere, UMR 7254 CNRS, 1 rue Jussieu, Paris, France; 4: Ecole Normale Superieure de Paris, Laboratoire de Géologie, 24 Rue Lhomond, Paris, France; 5: 5 Institut Terre et Environnement de Strasbourg, ITES / CNRS UMR 7063, Strasbourg; 6: 6 Ecole et Observatoire des Sciences de la Terre, EOST / CNRS UAR 830, Strasbourg; 7: ISTERRE, University Grenoble Alpes, University Savoie Mont Blanc, CNRS, IRD, UGE, Grenoble, France, 10:00am - 10:20am Oral_20 Fault-zone Damage and Fault Slip of the 2023 Kahramanmaraş Earthquakes Estimated from 3D Displacement Derivations of Satellite Radar Images 1: King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia; 2: Université de Paris Cité, Institut de Physique du Globe de Paris, CNRS, Paris, France 10:20am - 10:40am Oral_20 Coseismic and Early PostSeismic Deformation Associated with the 6 February 2023 Southeast Turkey Earthquake Doublet 1: Department of Geophysics, Tel-Aviv University, Tel Aviv, Israel; 2: Geological Survey of Israel, Jerusalem, Israel; 3: Department of Aerospace Engineering, Faculty of Engineering, Zonguldak Bulent Ecevit University, 67100, Zonguldak, Turkey |
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10:40am - 11:10am |
Coffee Break |
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11:10am - 12:50pm |
4.02.a: Earthquake and Tectonics 2 Location: Auditorium I Chair: Andy Hooper, University of Leeds Chair: David Thomas Sandwell, UCSD Oral_20 Calibration of Seismogenic Thickness for Estimation of Seismic Moment Accumulation Rate from Strain Rate 1: Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, USA; 2: University of Texas at Austin, Austin, TX, USA; 3: University of Science and Technology of China, Hefei, Anhui 230036, China; 4: University of Hawaii at Manoa, Honolulu, HI, USA 11:30am - 11:50am Oral_20 Consensus InSAR Time Series and Velocity Model for Southern California 1: NASA Jet Propulsion Laboratory, Pasadena, CA, USA; 2: Massachusetts Institute of Technology, Cambridge, MA, USA; 3: Scripps Institute of Oceanography, University of California San Diego, San Diego, CA, USA; 4: University of Texas Austin, Austin, TX, USA; 5: Earthquake Science Center, U.S. Geological Survey, Moffett Field, CA, USA; 6: Berkeley Seismology Laboratory, Berkeley, CA, USA; 7: University of California Riverside, Riverside, CA, USA 11:50am - 12:10pm Oral_20 Locus And Type Of Synseismic, Secondary, Fault Slip During Large-magnitude Earthquakes 1: Kiel University, Germany; 2: J Begg Geo Ltd, New Zealand; 3: Institute of Geodynamics, Athens, Greece 12:10pm - 12:30pm Oral_20 Recovering The Post-seismic Slip Of The 2019 Mw 7.1 Ridgecrest Earthquake Using InSAR, Along-track Burst Overlap Interferometry And GNSS Measurements 1: Department of Geophysics, Tel-Aviv University, Tel Aviv, Israel; 2: Geological Survey of Israel, Jerusalem, Israel 12:30pm - 12:50pm Oral_20 Automatic Seismic Source Model Retrieval By Exploiting The Sentinel-1 DInSAR Co-seismic Displacement Maps Available Through The EPOSAR Service 1: IREA-CNR, Naples, Italy; 2: INGV, Rome, Italy; 3: IREA-CNR, Milan, Italy |
4.02.b: Missions 1 Location: Auditorium II Chair: Irena Hajnsek, ETH Zurich / DLR Chair: Björn Rommen, ESA/ESTEC Oral_20 Exploitation of 2-Look ScanSAR with ROSE-L for Along-Track Surface Deformation Measurements German Aerospace Center (DLR), Germany 11:30am - 11:50am Oral_20 Co-Fliers Mission Concepts for NISAR and ROSE-L to Address Emerging Measurements Needs in Earth Science 1: NASA/JPL, United States of America; 2: European Space Agency 11:50am - 12:10pm Oral_20 Understanding the Impact of Short-Time Changes in Along-Track InSAR Ocean Signatures using TanDEM-X Data German Aerospace Center, Germany 12:10pm - 12:30pm Oral_20 Enabling 3D Deformation Monitoring with the CHORUS SAR Constellation MDA, Canada |
4.02.c: Thematic mapping Location: Lecture 3/Roger Stevens Bld Chair: Carlos López-Martínez, Universitat Politecnica de Catalunya Chair: Alberto Refice, Consiglio Nazionale delle Ricerche Oral_20 The TanDEM-X DEM Change Maps Product And Their Application German Aerospace Center (DLR), Germany 11:30am - 11:50am Oral_20 Combination of Multi-Track Sentinel-1 Multitemporal InSAR Coherence and Sentinel-2 data in Land Cover and Vegetation Mapping: the SInCohMap project. 1: IUII, University of Alicante, Spain; 2: EURAC Research, Italy; 3: TSC Dept., Barcelona Tech (UPC), Spain; 4: DARES Technology, Spain; 5: VTT, Finland; 6: ESA-ESRIN, Italy 11:50am - 12:10pm Oral_20 Improving the Versatility of Post-Disaster Damage Mapping Algorithms by Combining InSAR Coherence and SAR Intensity Correlation 1: Earth Observatory of Singapore, Nanyang Technological University, Singapore; 2: Jet Propulsion Laboratory, California Institute of Technology, USA; 3: Asian School of the Environment, Nanyang Technological University, Singapore; 4: School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 12:10pm - 12:30pm Oral_20 Innovation in InSAR Processing and Analysis of C-, X- and L-Band SAR Data for Natural Hazards, Agriculture, Marine and Coastal Applications in the framework of ASI’s “Multi-Mission and Multi-Frequency SAR” Program Italian Space Agency (ASI), Italy 12:30pm - 12:50pm Oral_20 InSAR Coherence Analysis: A Proxy for Change Detection of Pavements 1: School of Computing and Engineering, University of West London, St Mary’s Road, Ealing, London W5 5RF, UK; 2: The Faringdon Research Centre for Non-Destructive Testing and Remote Sensing, University of West London, St Mary’s Road, Ealing, London W5 5RF, UK; 3: Department of Civil, Computer Science and Aeronautical Engineering, Roma Tre University, Via Vito Volterra 62, 00146, Rome, Italy |
12:50pm - 2:00pm |
LUNCH |
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2:00pm - 4:00pm |
4.03.a: Earthquake and Tectonics 3 Location: Auditorium I Chair: Qi Ou, University of Leeds Chair: Sang-Ho Yun, Earth Observatory of Singapore Oral_20 Surface Displacements throughout the Earthquake Cycle over Haiti's Southern Peninsula 1: Laboratoire de Géologie, Département de Géosciences, Ecole normale supérieure, CNRS UMR 8538, PSL University; Paris, France; 2: Institut Universitaire de France; Paris, France; 3: Université Côte d’Azur, Institut de Recherche pour le Développement, CNRS, Observatoire de la Côte d’Azur, Géoazur; Valbonne, France.; 4: CARIBACT Joint Research Laboratory, Université d’Etat d’Haïti, Université Côte d’Azur, Institut de Recherche pour le Développement; Port-au-Prince, Haïti.; 5: URGéo, Faculté des Sciences, Université d’Etat d’Haïti; Port-au-Prince, Haïti. 2:20pm - 2:40pm Oral_20 Large-scale velocity mapping over the Tianshan Mountains University of Leeds, United Kingdom 2:40pm - 3:00pm Oral_20 Optimally Balancing InSAR Observations for the Damaging November 2022 Mw 5.6 earthquake in West Java, Indonesia 1: Earth Observatory of Singapore, Nanyang Technological University, Singapore; 2: Asian School of the Environment, Nanyang Technological University, Singapore; 3: School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore; 4: National Agency for Research and Innovation (BRIN), Indonesia; 5: Center for Volcanology and Geological Hazard Mitigation (CVGHM), Indonesia; 6: Center for Geological Survey (CGS), Indonesia 3:00pm - 3:20pm Oral_20 From Türkiye to China: tectonic strains and velocities in the Alpine-Himalayan Belt from Sentinel-1 InSAR and GNSS 1: COMET, School of Earth and Environment, University of Leeds, United Kingdom; 2: COMET, Department of Earth Sciences, University of Oxford, United Kingdom; 3: GNS, New Zealand; 4: NOAA/NWS/Pacific Tsunami Warning Center, Hawaii, United States of America 3:20pm - 3:40pm Oral_20 Strain Rates in the Anatolia-Caucasus Region from Sentinel-I InSAR and GNSS, and Quantitative Comparison with Earthquake Catalogues 1: GNS Science, New Zealand; 2: COMET, University of Leeds, UK; 3: NOAA, Honolulu, Hawaii |
4.03.b: Missions 2 Location: Auditorium II Chair: Marco Lavalle, NASA/JPL Chair: Nestor Yague-Martinez, Capella Space Oral_20 Capella Space Repeat-Pass InSAR Demonstration: current status Capella Space, United States of America 2:20pm - 2:40pm Oral_20 A First Glimpse on the Interferometry and Multi-Temporal Capability of the Chinese GaoFen-3A/B/C Constellation Northwestern Polytechnical University, China, People's Republic of 2:40pm - 3:00pm Oral_20 The Ka-Band Interferometric RADAR Mission Proposal For Cold Environments 1: ETH Zurich / DLR, Germany; 2: University of Iceland, Faculty of Earth Science, IS; 3: Airbus; 4: Alfred-Wegner-Institute; 5: OHB; 6: University of Oslo, Norway; 7: ENVEO, AT; 8: Gamma Remote Sensing, Switzerland; 9: National Wildlife Research Center, Environment and Climate Change Canada 3:00pm - 3:20pm Oral_20 Quality Assessment of ICEYE and SAOCOM InSAR Data Within ESA’s EDAP+ Activity 1: Finnish Meteorological Institute; 2: Aresys s.r.l.; 3: Telespazio UK; 4: ESA-ESRIN 3:20pm - 3:40pm Oral_20 Synspective's Small X-Band SAR Satellite (StriX) Constellation and its First InSAR Results Synspective, Japan |
RT 3 Day 4: Round Table Discussion Location: Lecture 3/Roger Stevens Bld From 14:00 to 14:40 |
4:00pm - 4:50pm |
RT 1 Day 4: Round Table Discussion Location: Auditorium I |
RT 2 Day 4: Round Table Discussion Location: Auditorium II |
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4:50pm - 7:00pm |
POSTER SESSION Location: Poster Session/Exhibition Multi-Temporal SAR Interferometry of Kazakhstan Tengiz Oilfield Subsidence using C-Band and X-Band Microwave Satellite Missions 1: Nazarbayev University, Kazakhstan; 2: Sarmap SA; 3: Technical University of Berlin New Rupture Model of the Mw = 7.8 Komandorsky Islands Earthquake of July 17, 2017 Based on SAR Interferometry 1: Schmidt Institute of physics of the Earth Russian academy of sciences, Russian Federation; 2: Faculty of Physics, Lomonosov Moscow State University, Moscow, 119991 Russia; 3: Institute of Earthquake Prediction Theory and Mathematical Geophysics, Russian academy of sciences, Moscow, 117997 Russia; 4: Institut des Sciences de la Terre, Université Grenoble Alpes, CNRS, Grenoble, 38058 France Sentinel-1 SAR Data For Building Damage Assessment After The Turkey-Syria Earthquake, February 2023 1: Christian Doppler Laboratory for Geospatial and EO-Based Humanitarian Technologies (GEOHUM), Department of Geoinformatics - Z_GIS, University of Salzburg, Schillerstrasse 30, 5020 Salzburg, Austria; 2: Institute of Geography, University of Tübingen, Rümelinstr 19-23, 72070 Tübingen; 3: GIS Centre, Médecins Sans Frontières (MSF) Austria Investigating Slow Earthquakes With Sentinel Archive And GNSS Data 1: Université Grenoble Alpes, ISTerre, Grenoble, France; 2: Centre National d’Études Spatiales,Toulouse, France; 3: ForM@Ter (2020): FLATSIM Data Products. CNES. (Dataset) Straining Of The Western Balkans Derived From The FLATSIM Service Products: Insights on the 2019 Durres Earthquake, Albania 1: Université de Lyon, UCBL, ENSL, UJM, CNRS, LGL-TPE, Villeurbanne, France; 2: Université Côte d’Azur, CNRS, Observatoire de la Côte d’Azur, IRD, Geoazur, UMR 7329, Valbonne, France; 3: Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, IRD, Université Gustave-Eiffel, ISTerre, Grenoble, France; 4: Université Paris Cité, Institut de physique du globe de Paris, CNRS, 1 rue Jussieu, Paris, 75005, France; 5: Aix Marseille Université, CNRS, IRD, Collège de France, CEREGE, Aix-en-Provence, France; 6: CNES: Centre National d’Études Spatiales, 75039 Toulouse, France The 2023 Turkey Earthquake Damage Assessment Using SAR and Optical Satellite Imagery Istituto Nazionale di Geofisica e Vulcanologia, Italy Frictional Afterslip and viscoelastic relaxation following the 2021 Mw 7.4 Maduo earthquake, eastern Tibet 1: College of Geology Engineering and Geomatics, Chang’an University, Xian, Shaanxi, China; 2: COMET, School of Earth and Environment, University of Leeds, Leeds, UK Detecting Moderate-Magnitude Earthquakes Within The South American Plate From InSAR Observations COMET, School of Earth Sciences, University of Bristol, UK InSAR Observations and Models of Extensional Earthquakes in the Absence of Magma in Northern Afar 1: Department of Earth Sciences, University of Pisa, Pisa, Italy; 2: Department of Earth Sciences, University of Florence, Florence, Italy; 3: School of Ocean and Earth Science, University of Southampton, Southampton, UK; 4: Department of Surveying Engineering, Guangdong University of Technology, Panyu District, Guangzhou, China; 5: Institute of Geophysics, Space Science and Astronomy, Addis Ababa University, Addis Ababa, Ethiopia. Faults Geometry and Coseismic Slip of the 2023 Mw7.8 and Mw7.6 Earthquake Doublet in Turkey from SAR data and layered elastic model Institute of Geology,China Earthquake Administrator, China, People's Republic of Monitoring Moderate Magnitude Earthquakes In Remote Regions Using InSAR University of East Anglia, United Kingdom Unprecedented Magnitude 7.8 Earthquake Strikes Turkey and Syria: Insights from Radar Interferometry INRAE, France The impressive coseismic dislocation due to February 6th 2023 Turkey-Syria earthquakes imaged by space thanks to SAR Interferometry and Pixel Offset Tracking techniques Istituto Nazionale di Geofisica e Vulcanologia, Italy Analytical and Numerical Postseismic Modeling Using InSAR Observations Following the 2017 Mw 7.3 Sarpol-e Zahab (Iran-Iraq) Earthquake 1: Department of Geodesy, GFZ German Research Centre for Geosciences, Section of Remote Sensing, Potsdam, Germany; 2: Institute for Photogrammetry and GeoInformation, Leibniz University Hannover, Hannover, Germany; 3: State Key Laboratory of Lithospheric Evolution, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, China 3D Displacements and Strain of the 2023 February Türkiye-Syria Earthquakes from Sentinel data University of Leeds, United Kingdom InSAR Constraint on the Coseismic Surface Displacement of the 2021 Fin Earthquakes, Zagros, Iran 1: Department of Earth Sciences, Institute for Advanced Studies in Basic Sciences, Zanjan 45137-66137, Iran; 2: Department of Earth Sciences, University of Oxford, South Parks Road, Oxford, OX13AN, UK; 3: Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, IRD, Univ. Gustave Eiffel, ISTerre, 38000 Grenoble, France The COSMO-SkyMed Constellation Monitoring of the Turkey and Syria Earthquake ASI - Italian Space Agency, Italy Damage Mapping Caused by Multiple Earthquakes Using InSAR And Deep Learning Techniques (Case study: South-Central Turkey) 1: K. N. Toosi University of Technology; 2: University of Leeds AlignSAR: Developing an Open SAR Library for Machine Learning Applications 1: University of Twente, The Netherlands; 2: RHEA Group, Italy; 3: University of Leeds, United Kingdom; 4: AGH University of Science and Technology, Poland Monitoring and Prediction of Mining Induced Displacements using Time Series InSAR and Machine Learning Models Wrocław University of Science and Technology, Poland Sequential Polarimetric Phase Optimization Algorithm For Dynamic Deformation Monitoring Of Landslides 1: School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, 430079, China; 2: CommSensLab, Department of Signal Theory and Communications (TSC), Universitat Politècnica de Catalunya (UPC), 08034 Barcelona, Spain; 3: The Institute for Computer Research(IUII), University of Alicante, P.O.Box 99, E-03080 Alicante, Spain; 4: State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, 430079, China Potential of Sentinel 1 InSAR and Offset Tracking in Monitoring Post-cyclonic Landslides Activities in Reunion Island. 1: BRGM, Geophysical Imagery and Remote Sensing Unit, Orleans, 45000, France; 2: BRGM, Direction de Actions Territoriales, Saint Denis, La Réunion, 97400, France; 3: Aristotle University of Thessaloniki, Department of Physical and Environmental Geography, 541 24 Thessaloniki, Greece. Eo4alps-landslides: a Portfolio of Geo-information Satellite and Modeling Services Tailored for Landslide Monitoring and Analysis 1: Ecole et Observatoire des Sciences de la Terre, EOST - CNRS/Université de Strasbourg; 2: Institut Terre et Environnement, ITES - CNRS/Université de Strasbourg, Strasbourg, France; 3: Terranum srl, Bussigny, Swiss; 4: TRE-Altamira, Barcelona, Spain; 5: University Milano-Bicocca, Department of Earth and Environmental Sciences, Milan, Italy; 6: School of Geology, Aristotle University of Thessaloniki (AUTh), Thessaloniki, Greece; 7: BRGM, Bureau de Recherches Géologiques et Minières, Orléans, France; 8: Terradue Srl, Rome, Italy, Detection And Monitoring Of Ground Deformation Induced By Active Landslides, Using SAR Interferometry: A Case Study In Chango Town, Peru. National University of Callao, Peru "PSToolbox": a "New Tool" for the "Post-processing Analysis" of "A-DInSAR" Data NHAZCA Srl, Via V. Bachelet 12, 00185 Rome, Italy Advanced InSAR Time-Series Methods for Constraining 3-Year Temporal Changes in Subsidence Rates in Challenging Terrain on the Samoan Islands NASA Goddard Space Flight Center, United States of America Creep dynamics along the Izmit segment of the North Anatolian Fault from FLATSIM InSAR time series 1: ITES, CNRS, Université de Strasbourg, Strasbourg, France; 2: Univ Lyon 1, ENSL, CNRS, LGL-TPE, Lyon, France; 3: Université Grenoble Alpes, CNRS, ISTerre, Grenoble, France; 4: CNES, Toulouse, France; 5: doi:10.24400/253171/FLATSIM2020 Optimal InSAR Sampling Strategies for Volcanic Hazards Jet Propulsion Laboratory, California Institute of Technology Detecting Persistent and Distributed Scatterer Changes in Geocoded Single Look Complex Images for Near-Real-Time InSAR Processing NASA Jet Propulsion Laboratory, United States of America Surface Displacement Time Series of the 2018 Kaktovik Earthquakes in Alaska Permafrost Observed by Using SBAS InSAR Department of Geophysics ,Kangwon National University, Chuncheon, Republic of Korea Semi-supervised Learning Approach for Ground Deformation Detection in InSAR 1: Visual Information Laboratory, University of Bristol, UK; 2: COMET, School of Earth Sciences, University of Bristol, UK Network Optimisation of Small Baseline Subset Synthetic Aperture Radar Interferometry (SBAS-InSAR) for Rural and Fastly Deforming Areas of Underground Mining 1: Wrocław University of Environmental and Life Sciences, Faculty of Environmental Engineering and Geodesy, Institute of Geodesy and Geoinformatics; 2: Delft University of Technology, Faculty of Civil Engineering and Geosciences, Department of Geoscience and Remote Sensing InSAR derived Geologically Instantaneous Surface Uplift Measurements as a Tool for Quantifying Long-Term Exhumation 1: COMET, University of Leeds, United Kingdom; 2: GNS Science, Lower Hutt, New Zealand InSAR for Near Real-time Monitoring: Estimating Displacement Alone is Not Sufficient to Identify Threats Amidst the Noise 3vGeomatics, Vancouver, Canada Spatially Varying Tropospheric Correction Based on a Quadtree-aided Joint Model in Multitemporal InSAR Tongji University, China, People's Republic of Influence of Land Use in InSAR Time Series Production Cornell University, United States of America Integrating InSAR and GNSS Data for a New Tectonic Block Model in El Salvador 1: Universidad Politécnica de Madrid. RG Terra: Geomatics, Natural Hazards and Risks. Madrid, Spain.; 2: Instituto Geológico y Minero de España (IGME-CSIC). Madrid, Spain; 3: GNS Science, Lower Hutt 5040, New Zealand; 4: Université de Lyon, UCBL, ENSL, CNRS, LGL‐TPE. Villeurbanne, France; 5: Escuela de Ciencias Físicas y Matemáticas, Universidad de San Carlos de Guatemala. Ciudad de Guatemala, Guatemala; 6: Observatorio de Amenazas y Recursos Naturales, Ministerio de Medio Ambiente y Recursos Naturales. San Salvador, El Salvador Performance Enhancement of Deep-learning-based InSAR Phase Unwrapping by Optimizing Training Data and Model Structure 1: Korea Institute of Ocean Science & Technology; 2: University of Seoul Detecting The Ground Deformation Of The Okavango Rift System With FLATSIM Regional-Scale InSAR Data 1: Géosciences Rennes, CNRS, Univ Rennes, UMR6118, F-35000 Rennes, France; 2: Université de Strasbourg, CNRS, IPGS-UMR 7516, F-67000 Strasbourg, France; 3: CNRS UMR 6554 LETG Rennes, Université Haute Bretagne, 35043 Rennes, France; 4: Institut de Physique du Globe de Paris, UMR 7154, Sorbonne Paris Cité, Université Paris Diderot, Paris, France; 5: Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, IRD, Univ. Gustave Eiffel, ISTerre, 38000 Grenoble, France; 6: CNES: Centre National d’Études Spatiales, 75039 Toulouse, France; 7: https://doi.org/10.24400/253171/flatsim2020 Salt flat rising? InSAR-derived surface displacement analysis at Laguna Salada in northern Baja California, Mexico Cornell University, United States of America Large-scale Horizontal Velocities in a Global Reference Frame Derived from Along-track Sentinel-1 InSAR 1: University of Leeds, United Kingdom; 2: Chulalongkorn University, Bangkok, Thailand; 3: GNS Science, Lower Hutt, New Zealand Large-Scale Satellite Geodetic Imaging of Southeastern Tibetan Plateau from Sentinel-1 InSAR 2014-2023 COMET, School of Earth and Environment, University of Leeds, United Kingdom Kinematics of Western Makran Subduction Zone Obtained from Seven Years of Sentinel-1 InSAR Data 1: School of Surveying and Geospatial Engineering, University of Tehran, Iran; 2: Department of Earth and Environmental Sciences, Geology, Ludwig-Maximilians-Universität München, Munich, Germany; 3: School of Mining Engineering, University of Tehran, Iran Combined InSAR-Pixel Offset Tracking (InSAR-POT) Monitoring of Volcano Flank Motion at Merapi, Indonesia. 1: University Of Bristol, United Kingdom; 2: Centre for the Observation and Modeling of volcanoes, Earthquakes, and Tectonics (COMET), United Kingdom; 3: United States Geological Survey (USGS) Cascades Volcano Observatory (CVO), Washington, United States 3D Velocity Field Of The Central Afar Rift From InSAR And GNSS Measurements 1: Department of Earth Sciences, University of Pisa, Pisa, Italy; 2: Department of Earth Sciences, University of Florence, Florence, Italy; 3: School of Ocean and Earth Science, University of Southampton, Southampton, UK; 4: Department of Surveying Engineering, Guangdong University of Technology, Panyu District, Guangzhou, China; 5: GFZ, German Research Center for Geosciences, Potsdam, Germany; 6: School of Earth Sciences, Addis Ababa University, Addis Ababa, Ethiopia RemotIO: Operational Infrastructure Monitoring Via Satellite-based InSAR Geodesy 1: insar.sk Ltd, Konstantinova 3, 080 01 Presov, Slovakia; 2: Department of Theoretical Geodesy and Geoinformatics, Faculty of Civil Engineering, Slovak University of Technology in Bratislava, 811 05, Bratislava, Slovakia; 3: Department of Finance, Accounting and Mathematical Methods, Faculty of Management and Business, University of Presov, 080 01 Presov, Slovakia; 4: National Bank of Slovakia, Insurance and Pension Fund Supervision Department, Imricha Karvasa 1, 813 25 Bratislava, Slovakia; 5: AI-MAPS s.r.o., Tallerova 4, 811 02 Bratislava; 6: Vodohospodarska vystavba, s.p., Bratislava Nobelova 7, Bratislava 831 02; 7: State Geological Institute of Dionyz Stur, Mlynská dolina 1, 81704 Bratislava InSAR Grounding Line Mapping with the TSX/TDX/PAZ Constellation for Fast Antarctic Glaciers Deutsches Zentrum für Luft- und Raumfahrt, Germany Three Decades of Coastal Subsidence on the Slow-moving Nice-Côte d'Azur Airport Area (France) Revealed by InSAR : Insights into the Deformation Mechanism 1: Aix Marseille University, CEREGE, France; 2: Université Côte d’Azur, Géoazur, France; 3: CEA, France Advanced Analysis Of InSAR Displacement Time Series For Hazard Monitoring 1: Institute for Electromagnetic Sensing of the Environment, National Research Council of Italy (CNR-IREA); 2: GAP s.r.l. InSAR For Land Deformation Analysis In Guatemala City 1: ETSI Topografía, Geodesia y Cartografía, Universidad Politécnica de Madrid; 2: ETSI Caminos, Canales y Puertos, Universidad Politécnica de Madrid; 3: Detektia Earth Surface Monitoring S.L. Madrid InSAR and GNSS-Based Monitoring of Coastal Subsidence in Southeast Florida Florida International University, United States of America Surface Displacement Monitoring of Highways Under Construction in Non-urban Areas Based on Sentinel-1 SBAS-InSAR Analysis 1: School of Civil and Transportation Engineering, Shenzhen University, China, People's Republic of; 2: Underground Polis Academy, Shenzhen University, China, People's Republic of; 3: Research Institute for Smart Cities, Shenzhen University, China, People's Republic of Uncertainty Estimation of InSAR Derived Vertical and Horizontal Velocities and Its Applications Datel Ltd, Estonia Integrating MT-InSAR with Available Technologies in a Pilot Monitoring System for Vadomojón Embankment Dam (Córdoba-Jaén, Southern Spain) 1: Department of Land Morphology and Engineering. ETSI Caminos, Canales y Puertos, Universidad Politécnica de Madrid, Spain; 2: Department of Cartographic, Geodetic and Photogrammetry Engineering, University of Jaén, Spain; 3: Centre for Advanced Studies in Earth Sciences, Energy and Environment (CEACTEMA), University of Jaén, Spain; 4: Research Group RNM-282 Microgeodesia Jaén, University of Jaén, Spain; 5: Department of Civil Engineering; University of Granada, Spain; 6: Detektia Earth Surface Monitoring S.L., Spain Self-consistent InSAR Observations of Land Subsidence for Coastal Cities 1: Asian School of the Environment, Nanyang Technological University, Singapore; 2: Earth Observatory of Singapore, Nanyang Technological University, Singapore; 3: Now at University of New Mexico, Albuquerque, NM, USA; 4: Institute for Environmental Decisions, Department of Environmental Systems Science, ETH Zürich, Switzerland; 5: NASA Jet Propulsion Laboratory / Caltech, Pasadena, USA InSAR Time-series for Measuring Land Subsidence Induced by Groundwater Depletion in Salem, TN, India Tata Consultancy Services, India InSAR Deformation Time Series For Geohazard Monitoring In The Sofia Urban Environment Tor The HARMONIA EC Project 1: INGV, Italy; 2: ASDE - Agency of Sustainable Development and Eurointegration -– ECOREGIONS; 3: Stalker-KM Ltd; 4: SM-DESP GDM-SAR: A ForM@Ter On Demand Service For Sentinel-1 InSAR Processing Using NSBAS 1: Univ. Grenoble Alpes, CNRS, ISTerre, France; 2: CNES, Centre National d’Études Spatiales, Toulouse, France; 3: Institut de Physique du Globe de Paris, Paris, France; 4: University Claude Bernard Lyon 1, LGLTPE, Lyon, France Testing Hypothesis of Lateral Extrusion Dominated by Mud-diapirism in SW Taiwan Orogen Using Geodetic and InSAR Data 1: Department of Geomatics, National Cheng Kung University, Taiwan; 2: Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, IRD, Univ. Gustave Eiffel, ISTerre, 38000 Grenoble, France Observation Of Crustal Uplift and Coseismic Deformation In The Kerguelen Islands From Sentinel-1 InSAR : A Consequence Of Ongoing Melting Of The Cook Ice Cap ? 1: Institut de physique du globe de Paris (IPGP), CNRS UMR 7154, Université Paris Cité, Paris, France; 2: Institut national de l'information géographique et forestière (IGN), Paris, France; 3: Laboratoire de Géologie, CNRS UMR 8538, Ecole normale Supérieure, PSL Research University, Paris, France; 4: Laboratoire d'Etudes en Géophysique et Océanographie Spatiales (LEGOS), CNRS UMR 5566, Université de Toulouse, CNES, CNRS, IRD, UPS, Toulouse, France Monitoring Surface Deformation Induced by Hydrocarbon Production in the Sebei Gas Field in the Tibet Plateau from InSAR Time Series Peking University, College of Urban and Environmental Sciences, Beijing 100871, China InSAR Phase Linking for non-Gaussian data 1: DEMR, ONERA, University Paris Saclay; 2: LEME, University Paris Nanterre; 3: LISTIC, University Savoie Mont-Blanc InSAR Data-based Stability Mapping of a Former Mining Area 1: Doctoral School of Earth Sciences, University of Pécs; 2: Institute of Geography and Earth Sciences, Faculty of Sciences, University of Pécs; 3: Datelite Ltd.; 4: Institute of Mathematics and Informatics, Faculty of Sciences, University of Pécs; 5: Institute of Smart Technology and Engineering, Faculty of Engineering and Information Technology, University of Pécs InSAR and GNSS Ground Deformation Analysis of the December 2020 - April 2021 Paroxysmal Activity of Mount Etna Istituto Nazionale di Geofisica e Vulcanologia, Italy A Deep Learning Approach for Improved Phase Unwrapping for InSAR University of Leeds, United Kingdom Outrageous Hypothesis for Differential InSAR Applications in Wetlands and Lakes 1: Stockholm University, Sweden; 2: Florida International University Revealing Deformation Evolution of Shapu Metro Hub Combining InSAR and On-site Measurements 1: School of Civil and Transportation Engineering, Shenzhen University, China, People's Republic of; 2: Underground Polis Academy, Shenzhen University, China, People's Republic of; 3: Research Institute for Smart Cities, Shenzhen University, China, People's Republic of Present-day Tectonics Of Northernmost Africa Constrained By InSAR Time-series 1: University of Strasbourg, France; 2: Institut Terre et Environnement de Strasbourg (ITES), France; 3: Centre National de la Recherche Scientifique (CNRS), France; 4: University Grenoble Alpes, France; 5: University Savoie Mont Blanc, France; 6: Institut de Recherche pour le Développement, France; 7: Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux, France; 8: Institut des Sciences de la Terre, France An Analytical Assessment of Phase Unwrapping Quality in InSAR Timeseries School of Surveying and Geospatial Engineering, University of Tehran, Iran A High-resolution Velocity Field for Ecuador from Sentinel-1 InSAR Time Series and GNSS Data 1: University of Leeds, School of Earth and Environment, Leeds-United Kingdom; 2: Instituto Geofísico – Escuela Politécnica Nacional, Quito – Ecuador On The Mathematical Model For Single-Arc InSAR Time Series Parameter Estimation Delft University of Technology, Netherlands, The On the Impact of Scatterer Classification On the InSAR-derived Insights 1: SkyGeo, Oude Delft 175, 2611 HB, Delft, The Netherlands; 2: Delft University of Technology, Stevinweg 1, 2628 CN Delft, The Netherlands Tectonic and Non-tectonic Deformation in the Eastern Tibetan Plateau as Measured from Large-scale, High-resolution Sentinel-1 InSAR Data 1: Université Grenoble-Alpes, CNRS, ISTerre - France; 2: Université de Lyon, UCBL, ENSL, CNRS, LGL-TPE - France; 3: Key Laboratory of Continental Dynamics, Institute of Geology, Chinese Academy of Geological Sciences, Beijing – China; 4: CNES: Centre National d’Études Spatiales, 75039 Toulouse, France; 5: ForM@Ter Data and Services center, France Surface deformation features of the 2023 M7.8 and M7.5 Kahramanmaras, Türkiye earthquake sequence using InSAR observations 1: Scripps Institution of Oceanography, United States of America; 2: University of Science and Technology of China |
Date: Friday, 15/Sept/2023 | |||
9:00am - 10:40am |
5.01.a: C-and L-band synergies: ESA-JAXA cooperation and beyond Location: Auditorium I Chair: Julia Kubanek, European Space Agency (ESA) Chair: Takeo Tadono, JAXA Oral_20 Characteristics of L-and C-Band A-DInSAR datasets in the Saar Mining District, Germany 1: Remote Sensing Section, Federal Institute for Geosciences and Natural Resources (BGR), Hannover, Germany; 2: RAG K-SG -Post Mining -Geodata -Remote Sensing, RAG Aktiengesellschaft, Essen, Germany 9:20am - 9:40am Oral_20 Soil Moisture Derived from InSAR: Experiments at C-band and Contributions from L-band 1: delta phi remote sensing GmbH, Germany; 2: Research Institute for Geo-Hydrological Protection, National Research Council, Perugia, Italy; 3: Department of Civil and Environmental Engineering, University of Perugia, Perugia, Italy 9:40am - 10:00am Oral_20 Status of ALOS-2 Mission Operation and Cal/Val Plan of ALOS-4 Japan Aerospace Exploration Agency 10:00am - 10:20am Oral_20 A Case Study of ALOS-2 Emergency Disaster Prevention for Slope Failure in Sakae-mura, Simominochi-gun, Nagano Prefecture, Japan 1: Remote Sensing Technology Center of Japan; 2: Japan Aerospace Exploration Agency Oral_20 On the P-SBAS Processing Chain New Developments For The Generation Of SAOCOM-1 Advanced DInSAR Products 1: Istituto per il Rilevamento Elettromagnetico dell'Ambiente (IREA), CNR, Napoli, Italy; 2: Conicet, Instituto CEDIAC, Facultad de Ingenierìa, Universidad Nac de Cuyo, Mendoza, Argentina |
5.01.b: AI and Machine Learning Location: Auditorium II Chair: Michele Martone, German Aerospace Center Oral_20 Monitoring and Interpreting Deformation along Linear Infrastructure Using Deep Clustering of MT-InSAR Analyses 1: State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China; 2: COMET, School of Earth and Environment, University of Leeds, Leeds, UK 9:20am - 9:40am Oral_20 Learning Displacement Signals Directly from the Wrapped Interferograms Using Sentinel-1 and Artificial Intelligence 1: Giuseppe Colombo University Center for Space Studies and Activities - CISAS, University of Padova, Italy; 2: TRE-ALTAMIRA s.r.l., Milano, Italy; 3: Department of Physics and Astronomy "Galileo Galilei" - DFA, Padova University, Italy; 4: Visual Information Laboratory, University of Bristol, UK 9:40am - 10:00am Oral_20 Deep Transformers Machine Learning Method To Improve Spatial Coverage Of InSAR Velocity Maps 1: Dept. of Information Engineering, University of Pisa; 2: Dept. of Earth Science, University of Pisa; 3: Dept. of Civil Engineering, University of Pisa 10:00am - 10:20am Oral_20 Exploiting Artificial Intelligence for Performance-Optimized Raw Data Quantization in InSAR Systems Microwaves and Radar Institute, German Aerospace Center (DLR), Wessling, Germany 10:20am - 10:40am Oral_20 A Deep Learning Framework for Regularly Monitoring the Amazon Forest with Sentinel-1 InSAR data: Seasonal Challenges and Insights 1: Microwaves and Radar Institute, German Aerospace Center (DLR), 82234 Wessling, Germany; 2: SONDRA, CentraleSupélec, Université Paris-Saclay, 91190 Gif-sur-Yvet, France |
5.01.c: Landslides Location: Lecture 3/Roger Stevens Bld Chair: Jose Manuel Delgado Blasco, RHEA Group Chair: Maya Ilieva, UPWr Oral_20 A Multi-sensor And Multi-variable Satellite Observation Approach For Investigating The Reactivation and Failure Of An Old Landslide In North Central Iran Following Reservoir Impoundment 1: GFZ German Research Centre for Geosciences, Germany; 2: Leibniz University Hannover, Institute of Photogrammetry and GeoInformation, Germany; 3: Natural Resources and Watershed Management Organization of the I.R of Iran, Iran; 4: Kharazmi University, Faculty of Earth Sciences, Iran 9:20am - 9:40am Oral_20 Exploring the Potential of ICEYE Imagery for Operational Landslide Mapping & Monitoring 1: Geological Survey of Norway, Norway; 2: NORCE, Norway; 3: Norwegian Water and Energy Directorate, Norway; 4: PPO.labs, Netherlands 9:40am - 10:00am Oral_20 Applications of Sentinel-1 Amplitude and Coherence Time Series to Rapid Landslides Triggered During Long Rainfall Events. 1: ESA ESRIN, Italy; 2: Géosciences Environnement Toulouse (GET), UMR 5563, CNRS/IRD/CNES/UPS, Observatoire Midi-Pyrénées, 10:00am - 10:20am Oral_20 Constraining Unstable Slope Failure Predictions Using Satellite InSAR Time-Series Analysis 1: MDA, 57 Auriga Drive, Nepean, Ontario, Canada K2E 8B2; 2: MDA, 13800 Commerce Parkway, Richmond, British Columbia, Canada V6V 2J3 |
10:40am - 11:00am |
RT 1 Day 5: Round Table Discussion Location: Auditorium I |
RT 2 Day 5: Round Table Discussion Location: Auditorium II |
RT 3 Day 5: Round Table Discussion Location: Lecture 3/Roger Stevens Bld |
11:00am - 11:30am |
Coffee Break |
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11:30am - 1:30pm |
5.02.a: Session Summaries Location: PLENARY |
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1:30pm - 1:40pm |
Closing Location: PLENARY |
Contact and Legal Notice · Contact Address: Privacy Statement · Conference: FRINGE 2023 |
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