Conference Agenda

EOF Analysis Application in Detecting Potential Pre-Earthquake Anomalies from Swarm Satellite Data

Maja Pavlovic¹, Yaxin Bi¹, Peter Nicholl¹, Xueming Zhang²

1: Ulster University, United Kingdom; 2: Institute of Earthquake Forecasting, China Earthquake Administration

An Enhanced Martingale Method for Detecting Seismic Precursors from Swarm Satellite Data

Shane Patrick Harrigan¹, Yaxin Bi¹, Mingju Huang², Guoze Zhao³

1: School of Computing, Faculty of Computing, Engineering and the Built Environment, Ulster University, Jordanstown Road, Newtownabbey, Co Antrim, UK; 2: Belfast School of Architecture and the Built Environment, Faculty of Computing, Engineering and the Built Environment, Ulster University, Jordanstown Road, Newtownabbey, Co Antrim, UK; 3: Institute of Geology, China Earthquake Administration, Beijing 100029, China

Structural Health Monitoring for Sea Crossing Bridge Integrating Time-series InSAR Analysis and Structural Principle

Xiaoqiong Qin^1,2,3,4, Chisheng Wang^1,3,4, Mingsheng Liao², Qingquan Li^1,2,3,4, Lu Zhang²

1: School of Architecture & Urban Planning, Shenzhen University; 2: State Key Laboratory of Engineering in Surveying, Mapping and Remote Sensing, Wuhan University; 3: MNR Key Laboratory for Geo-Environmental Monitoring of Great Bay Area; 4: Guangdong Key Laboratory of Urban Informatics

Earthquake Electromagnetic Precursor Anomalies Detected by The CSELF Network

Bingbing Han¹, Guoze Zhao¹, Yaxin Bi², Ji Tang¹, Lifeng Wang¹, Yan Zhan¹

1: China Earthquake Administration, China, People's Republic of; 2: School of Computing, Faculty of Computing, Engineering and the Built Environment, University of Ulster, Belfast BT37 0QB, United Kingdom

3D SAR Imaging of Natural Media and Geophysical Parameter Retrieval

Mauro Mariotti d'Alessandro¹, Yanghai Yu^1,2, Xinwei Yang², Yu Bai³, Stefano Tebaldini¹, Mingsheng Liao², Wen Yang³

1: Politecnico di Milano, Italy; 2: State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University; 3: School of Electronic Information, Wuhan University

Detecting And Monitoring Of Slow-moving Post-earthquake Landslide By InSAR Technology In Jiuzhaigou Area

Jiehua Cai¹, Lu Zhang¹, Mingsheng Liao¹, Jie Dong²

1: State Key Laboratory of EInformation ngineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079 China; 2: School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079 China

Impact Of Ecological Water Compensation On Urban Safety Along Yongding River (Beijing Section)

Mingliang Gao^1,2,3,4, Huili Gong^1,2,3,4, Xiaojuan Li^1,2,3, Yinghai Ke^1,3, Beibei Chen^1,2,3,4, Mi Chen^1,2, Chaofan Zhou^1,2,3,4, Min Shi^1,2,3, Mingyuan Lv^1,2

1: Capital Normal University, China, People's Republic of; 2: Key Laboratory of Land Subsidence Mechanism and Prevention, MOE, People's Republic of; 3: Beijing Laboratory of Water Resources Security, China, People's Republic of; 4: Observation and Research Station of Groundwater and Land Subsidence in Beijing-Tianjin-Hebei Plain, MNR, People's Republic of

Built-Up Area Mapping at Large-Scale using Sentinel-1 SAR Data and Deep Learning

Sebastian Hafner, Yifang Ban, Andrea Nascetti

KTH Royal Institute of Technology, Sweden

Experimental Analyses of Forest Short-Term Decorrelation for Interferometry, Tomography with Tandem SARs, and Distributed SARs

Fabrizio Lombardini¹, Claudia Zoppetti^1,2, Reza Bordbari¹

1: University of Pisa, Italy; 2: University of Siena, Italy

Identification And Monitoring Of Landslides In Mountainous Areas With Time-series InSAR: Analysis Of Landslide Detection Failure In Jichangzheng, Guizhou, China

Yian Wang¹, Jie Dong¹, Jianya Gong¹, Mingsheng Liao², Lu Zhang²

1: School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079 China; 2: State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079 China

Pre- and Post- Failure Landslide Analysis Using Both Satellite and Ground Based InSAR: A Case Study of the Xinmo Landslide, China

Jie Dong, Mingsheng Liao, Lu Zhang

Wuhan University, China, People's Republic of

Monitoring Large-scale Linear Hydraulic Engineering Using Time Series Sentinel-1 Dataset——A Case Study Of The Middle Route Of China’s South-to-North Water Diversion Project

Nan Wang¹, Jie Dong², Mingsheng Liao¹, Lu Zhang¹

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

Fault structure and cause analysis of the 2019 Ms6.0 Changning Earthquake in Sichuan, China based on InSAR

Hua Gao¹, Mingsheng Liao¹, Wenbin Xu², Xiaoge Liu², Nan Fang²

1: Wuhan University, People's Republic of China; 2: Central South University, School of Geosciences and Info-Physics, China

The Weighted Adaptive Variable-lEngth (WAVE) Technique for InSAR Analysis in Mid-to-Low Coherent Areas

Francesco Falabella^1,2,3, Qing Zhao^4,5, Antonio Pepe²

1: University of Basilicata, School of Engineering, Potenza, Italy; 2: Institute for the Electromagnetic Sensing of the Environment (IREA), National Research Council (CNR), Napoli, Italy; 3: Institute of Methodologies for Environmental Analysis (IMAA), National Research Council (CNR), Tito Scalo, Italy; 4: Key Laboratory of Geographical Information Science, Ministry of Education, East China Normal University, Shanghai, China; 5: Joint Laboratory for Environmental Remote Sensing and Data Assimilation, East China Normal University, Shanghai, China

Optimization of the Combined C-/X- Band Time-Overlapped Ground Deformation Time-Series Derived by SBAS-DInSAR and SVD method

Jingzhao Ding^1,2,3, Qing Zhao^1,2,3, Maochuan Tang^1,2,3, Qiang Wang^1,2,3

1: Key Laboratory of Geographical Information Science, Ministry of Education, East China Normal University, Shanghai 200062, China; 2: Chongming ECO Institute, East China Normal University, Shanghai 200241, China; 3: School of Geographic Sciences, East China Normal University, Shanghai 200241, China

Unbalanced Technics to Improve the Train for ML Models to Detect Earthquake Fringes

Bruno Silva¹, Joaquim J. Sousa^2,3, Milan Lazecky⁴, António Cunha^2,3

1: Faculdade de Ciências da Universidade do Porto; 2: Engineering Department, School of Science and Technology, University of Trás-os-Montes e Alto Douro; 3: INESC Technology and Science, Porto, Portugal; 4: COMET, School of Earth and Environment, University of Leeds, Leeds LS2 9JT, UK

ML Segmentation Models to Automatically Identify Areas Affected by Earthquakes

Bruno Silva¹, Joaquim J. Sousa^2,3, Milan Lazecky^2,3, António Cunha⁴

1: Faculdade de Ciências da Universidade do Porto, Portugal; 2: Engineering Department, School of Science and Technology, University of Trás-os-Montes e Alto Douro; 3: INESC Technology and Science, Porto, Portugal; 4: COMET, School of Earth and Environment, University of Leeds, Leeds LS2 9JT, UK

Recent Activity of Changbaishan Tianchi VolcanoRevealed by Time Series InSAR and Geophysical Modeling

Jiaqi Zhang¹, Lianhuan Wei¹, Cristiano Tolomei², Guoming Liu³, Guido Ventura², Elisa Trasatti², Christian Bignami², Stefano Salvi², Tiejun Gao¹, Francesca Romana Cinti², Xianju Li⁴

1: Northeastern University, China, People's Republic of; 2: Istituto Nazionale di Geofisica e Vulcanologia, Italy; 3: Changbaishan Volcano Observatory, China, People's Republic of; 4: China University of Geosciences, China, People's Republic of

Collaborative Monitoring of Slope Displacements in Open-pit Mines with LiDAR DEM and Sentinel-1 Data

Fang Wang¹, Lianhuan Wei¹, Cristiano Tolomei², Christian Bignami², Yachun Mao¹, Shanjun Liu¹, Qiuyue Feng¹

1: Northeastern University, China, People's Republic of; 2: Istituto Nazionale di Geofisica e Vulcanologia, Rome, Italy

Remote Sensing Observations for Landslide Identification in South Tyrol, Italy and the Longnan Region, China

Peter Mayrhofer¹, Ruth Sonnenschein², Clement Atzberger¹, Giovanni Cuozzo², Stefan Steger²

1: University of Natural Resources and Life Sciences Vienna (BOKU), Austria; 2: Eurac Research, Italy

Tectonic Studies At Continental Scale From FLATSIM Automated Time Series Analysis Of Sentinel-1 InSAR Data: Case Study Of The Eastern Tibetan Plateau.

Laëtitia Lemrabet¹, Cécile Lasserre¹, Marie-Pierre Doin², Marianne Métois¹, Anne Replumaz², Philippe-Hervé Leloup¹, Jianbao Sun³, Marie-Luce Chevalier⁴

1: Université de Lyon, UCBL, ENSL, CNRS, LGL-TPE, 69622 Villeurbanne, France; 2: Université Grenoble-Alpes, CNRS, ISTerre, Grenoble, France; 3: Institute of Geology, China Earthquake Administration, Beijing, China; 4: Key Laboratory of Continental Dynamics, Institute of Geology, Chinese Academy of Geological Sciences, 26 Baiwanzhuang Rd, Beijing 100037, China

A Tool for relating Land Surface Temperature to Near-Air-Surface Air Temperature in Support of Urban Climate Studies and Smart Urbanization

Kostas Philippopoulos, Constantinos Cartalis

National and Kapodistrian University of Athens, Greece

Study on the Identification of Rice Varieties with Remote Sensing Data

Yanan Hao¹, Ruilian Li¹, Jinlong Fan²

1: China Agricultural University, China, People's Republic of; 2: NSMC, China, People's Republic of

The Feasibility Of Using Re-analysis Data As Thermal Infrared Radiometric Calibration Reference

Ya Nan Xue^1,2, Ning Wang¹, Lingling Ma¹, Xinhong Wang¹, Kun Li¹

1: Aerospace Information Research Institute, Chinese Academy of Sciences, China, People's Republic of; 2: School of Optoelectronics, University of Chinese Academy of Sciences, China, People's Republic of

Construction And Validation Of TOA Reflectance Reference Model For Stable Land Surface Target- Using Golmud Gobi Site As An Example

Peilan Song^1,2, Lingling Ma¹, Yongguang Zhao¹, Ning Wang¹, Yaokai Liu¹, Wan Li¹

1: Aerospace Information Research Institute, Chinese Academy of Sciences, China, People's Republic of; 2: School of Optoelectronics, University of Chinese Academy of Sciences, China, People's Republic of

Improved Reconstruction of Digital Terrain Models Below Tropical Forests Using Tomographic SAR Data Acquired at P Band

Mael Smessaert^2,3, Ludovic Villard², Laurent Polidori², Sandrine Daniel³, Laurent Ferro Famil¹

1: University of Rennes 1, France; 2: Cesbio, France; 3: Capgemini, France

A Covariance-based Feature Extraction Method for Temporal PolSAR

Jun Ni¹, Qiang Yin¹, Fan Zhang¹, Wen Hong²

1: Beijing University of Chemical Technology, China, People's Republic of; 2: University of Chinese Academy of Sciences

Forest Height Inversion Using X-Band Single-Pass InSAR Data Based on Multi-Level Model

Lei Zhao¹, Erxue Chen¹, Zengyuan Li¹, Wangfei Zhang², Kunpeng Xu¹

1: Institute of Forest Resources Information Techniques, Chinese Academy of Forestry; 2: Southwest Forestry University

Sequential InSAR Time Series Deformation Monitoring of Land Subsidence and Rebound in Xi'an, China

Baohang Wang, Chaoying Zhao, Qin Zhang

Chang'an University, China, People's Republic of

Mapping vertical crustal deformation over Weihe Basin, China using Sentinel-1 and ALOS-2 ScanSAR imagery

Yufen Niu¹, Feifei Qu¹, Wu Zhu¹, Qin Zhang¹, Zhong Lu², Chaoying Zhao¹, Wei Qu¹, Yaxuan Hu³

1: College of Geology Engineering and Geomatics, Chang’an University, Xi’an, 710054, China; 2: Department of Earth Sciences, Southern Methodist University, Dallas, TX, 75275, USA; 3: The Second Monitoring and Application Center, China Earthquake Administration, Xi’an 710054, China

Icebergs Recognition for Xuelong Ship Channel in Amundsen Sea Using Sentinel-1 Data

Zhenyu Liu¹, Xi Zhang²

1: South-Central Universtiy for Nationalities, China, People's Republic of; 2: First Institute of Oceanography, MNR

Impact Assessment Of Fully-Focused SAR Along-Track Resolution To Sea State Parameters

Ferran Gibert, Alba Granados, Albert Garcia-Mondéjar, Eduard Makhoul, Mònica Roca

isardSAT SL, Barcelona, Catalonia. Spain

Evaluation of merged sea-ice thickness from Cryosat-2 and Sentinel-3A Altimeters in Arctic

Meng Bao^1,2, Xi Zhang^1,2, Jun min Meng^1,2

1: First Institute of Oceanography, Ministry of Natural Resources, China, People's Republic of; 2: Ocean Telemetry Technology Innovation Center, Ministry of Natural Resources China, People's Republic of

Analysis of Coastal Wind Speed Retrieval from CYGNSS Mission Using Artificial Neural Network

Xiaohui Li^1,2, Dongkai Yang¹, Jingsong Yang², Gang Zheng², Guoqi Han³, Yang Nan⁴, Weiqiang Li⁵

1: School of Electronic and Information Engineering, Beihang University, Beijing, China; 2: State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, China; 3: Fisheries and Oceans Canada, Institute of Ocean Sciences, Canada; 4: Wuhan University, Wuhan, China; 5: Institute of Space Sciences (ICE, CSIC), Spain

Is Atmospheric Correction Needed For Deep Learning Methods To Successfully Segment Phytoplankton Blooms?

Stephen Goult^1,2, Chunbo Luo², Stefan Simis¹, Shubha Sathyendranath¹, Tingwei Cui³

1: Plymouth Marine Laboratory, United Kingdom; 2: University of Exeter, United Kingdom; 3: Sun Yat-Sen University, China

A More Comprehensive Understanding of Coastal Flooding in SAR Imagery Based on Unsupervised Deep Learning

Bin Liu¹, Xiaofeng Li², Gang Zheng³

1: Shanghai Ocean University, China, People's Republic of; 2: Institute of Oceanology, Chinese Academy of Sciences, China, People's Republic of; 3: Second Institute of Oceanography, Ministry of Natural Resources, China, People's Republic of

A Sensitivity Analysis Of Sentinel-1 SAR Spectral Signatures Of Low-Backscattering Sea Areas

Valeria Corcione¹, Ferdinando Nunziata¹, Andrea Buono¹, Marcos Portabella², Maurizio Migliaccio¹

1: Università degli Studi di Napoli Parthenope, Italy; 2: The Institute of Marine Sciences, Spain

A Tropical Cyclone Tangential Wind Speed Estimation Model Based on C-Band Cross-Polarization SAR Observations

Sheng Wang^1,3, Xiaofeng Yang^1,3, Marcos Portabella²

1: State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy Sciences, Beijing 100101, China; 2: Institut de Ciencies del Mar (ICM - CSIC), Barcelona 08003, Spain; 3: Key Laboratory of Earth Observation of Hainan Province, Sanya Zhongke Remote Sensing Institute, Sanya 572029, China

Radar Backscattering Simulation of Sea Surface Oil Emulsions

Tingyu Meng^1,2, Xiaofeng Yang^1,3, Kun-Shan Chen⁴, Ferdinando Nunziata⁵, Andrea Buono⁵

1: State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China; 2: University of Chinese Academy of Sciences, Beijing, China; 3: Key Laboratory of Earth Observation of Hainan Province, Sanya Zhongke Remote Sensing Institute, Sanya, China; 4: College of Geomatics and Geoinformation, Guilin University of Technology, Guilin, China; 5: Dipartimento di Ingegneria, University of Naples - Parthenope, Napoli, Italy

Evaluation The Performance Of WRF Using An Improved Albedo Parameterization Scheme During A Heavy Snowfall Event Over The Tibetan Plateau

Lian Liu¹, Massimo Menenti², Yaoming Ma^1,3,4, Weiqiang Ma^1,3

1: Institute of Tibetan Plateau Research, Chinese Academy of Sciences, China, People's Republic of; 2: State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, 100101, China; 3: CAS Center for Excellence in Tibetan Plateau Earth Sciences, Chinese Academy of Sciences, Beijing 100101, China; 4: University of Chinese Academy of Sciences, Beijing 100049, China

Characterization And Interpretation Of Air Pollution Sources Based On SO2, NOx Emissions And HCHO Columns Over China Derived From The 2007-2018 OMI Data Set

Marina Zara, Ronald van der A, Jieying Ding

KNMI, Netherlands, The

Cloud Shadow Method for Retrieving Aerosol Optical Properties over Land

Minzheng Duan^1,2,3

1: Institute of Atmospheric Physics, China, People's Republic of; 2: College of Earth and Planetary Sciences, University of Chinese Academy of Sciences; 3: Chengdu University of Information Technology

NO_x Emissions From China In July 2019 Using TROPOMI Retrieval And The Influence On Surface NO₂ And O₃ Simulations

Qianqian Zhang

NSMC, China, People's Republic of

Volcanic SO2 retrieved from GF-5 Environmental Trace Gas Monitoring Instrument

Huanhuan Yan

NSMC, China, People's Republic of China

Evaluation of TanSat Carbon Dioxide total column measurements

Tomi Karppinen¹, Ella Kivimäki¹, Hannakaisa Lindqvist¹, Rigel Kivi¹, Hulin Chen², Johanna Tamminen¹

1: Finnish Meteorological Institute, Finland; 2: University of Groningen, The Netherlands

Airborne Wind Lidar Observations for the Validation of ESA’s Wind Mission Aeolus

Oliver Lux¹, Christian Lemmerz¹, Fabian Weiler¹, Uwe Marksteiner¹, Benjamin Witschas¹, Stephan Rahm¹, Alexander Geiß², Andreas Schäfler¹, Oliver Reitebuch¹

1: German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt e.V., DLR), Institute of Atmospheric Physics, 82234 Oberpfaffenhofen, Germany; 2: Ludwig-Maximilians-University Munich, Meteorological Institute, 80333 Munich, Germany

The development of fine-resolution China Water Cover Map based on time series Sentinel imagery

Zhenguo Niu, Yang Li

Airospace Information Research Institute, Chinese Academy of Sciences, China, People's Republic of

Albedo of High Mountain Asia: a Complex Driver of Atmospheric and Land Surface Processes

Massimo Menenti^1,2, Shaoting Ren¹, Jing Zhang¹, Junru Jia¹, Lian Liu³, Francesca Pellicciotti⁴, Li Jia¹

1: State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China; 2: Delft University of Technology, 2600 GA Delft, The Netherlands; 3: Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101; 4: Swiss Federal Institute for Forest, Snow and Landscape Research WSL, 8903 Birmensdorf, Switzerland

Improving Glacier Energy Balance Model Using Sentinel-2 / MSI Data: A Case Study in Parlung No.4 Glacier In The Southeast Tibetan Plateau

Shaoting Ren^1,2,3, Achille Pierre Jouberton³, Massimo Menenti^1,4, Li Jia¹, Michael McCarthy³, Pascal Buri³, Evan Stewart Miles³, Stefan Fugger³, Francesca Pellicciotti³

1: Aerospace Information Research Institute, Chinese Academy of Sciences, China, People's Republic of; 2: University of Chinese Academy of Sciences, Beijing 100049, China; 3: Swiss Federal Research Institute WSL, 8906, Birmensdorf, Switzerland; 4: Faculty of Civil Engineering and Earth Sciences, Delft University of Technology, 2628 Delft, The Netherlands

Precipitation Phase Change Accelerates Glacier Mass Loss In The Southeastern Tibetan Plateau

Achille Pierre Jouberton¹, Thomas Edward Francis Shaw¹, Evan Miles¹, Shaoting Ren^1,2, Wei Yang^3,4, Michael McCarthy^1,5, Stefan Fugger^1,6, Amaury Dehecq⁷, Francesca Pellicciotti^1,8

1: Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), France; 2: State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China; 3: Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China; 4: Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China; 5: British Antarctic Survey,Natural Environment Research Council,Cambridge,UK; 6: Institute of Environmental Engineering, ETH Zurich, 8093 Zurich, Switzerland; 7: Laboratory of Hydraulics, Hydrology and Glaciology (VAW), ETH Zurich, 8093, Zurich, Switzerland; 8: Department of Geography, Northumbria University, Newcastle, UK

Spatial-temporal Variability of Glacier Surface Velocity in the Parlung Zangbo Basin, Tibetan Plateau.

Jing Zhang^1,2, Li Jia¹, Massimo Menenti^1,3, Shaoting Ren^1,2

1: State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China; 2: University of Chinese Academy of Sciences, Beijing 100049, China;; 3: Faculty of Civil Engineering and Earth Sciences, Delft University of Technology, 2628 CN Delft, The Netherlands

Supra-Glacial Ice Cliff Distribution in High Mountain Asia

Marin Kneib^1,2, Evan Miles¹, Pascal Buri¹, Thomas Shaw³, Francesca Pellicciotti^1,4

1: Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), Birmensdorf, Switzerland; 2: Institute of Environmental Engineering, ETH Zurich, Zurich, Switzerland; 3: Advanced Mining Technology Center, Universidad de Chile, Santiago, Chile; 4: Department of Geography and Environmental Sciences, Northumbria University, UK