Conference Agenda

Multi-agent Awareness No-retracing Integrated Q-Learning for Anomaly Detection in Space Data

Christopher Cillian O'Neill¹, Yaxin Bi¹, Ming Huang²

¹School of Computing, Ulster University, Belfast, United Kingdom; ²School of Architecture and the Built Environment, Ulster University, Belfast, United Kingdom

A Deep Learning Approach for Earthquake Damage Extraction in Buildings by Integrating Spatial and Frequency Domain Texture Features

Wei Zhai^1,3, Yaxin Bi², Guiyu Zhu³, Jianqing Du³

¹Gansu Earthquake Agency, China, People's Republic of; ²Ulster University, Belfast, United Kingdom; ³Lanzhou Institute of Seismology, China Earthquake Administration, Lanzhou, China, People's Republic of

Present-Day Three-dimensional Tectonic Deformation Across Tianshan From Satellite Geodetic data

Jiangtao Qiu^1,2, Jianbao Sun¹

¹Institute of Geology, China Earthquake Administration, China, People's Republic of; ²The Second Monitoring and Application Center, China Earthquake Administration, Xi’an, China

Generating Synthetic Geomagnetic Residual Maps from SWARM Satellite Data using GAN Neural Networks

Maja Pavlovic, Yaxin Bi, Peter Nicholl

Ulster University, Ireland

Kinematic Behavior And Sliding Geometry Of The Li-Kan Road Landslide Revealed By Multidimensional Time Series InSAR Method

Jiantao Du^1,4, Zhenhong Li^1,2,3, Roberto Tomás⁴, Chuang Song^1,2,3

¹College of Geological Engineering and Geomatics, Chang'an University, Xi'an 710054,China; ²Key Laboratory of Loess, X'an 710054, China; ³Big Data Center for Geosciences and Satellites, Xi'an 710054, China; ⁴Department of Civil Engineering, University of Alicante, Alicante 03080, Spain

Integration of a Two-stage Method and Prior Constraints for Extracting Three-dimensional Displacement Fields of Landslides from Orthophotos

Hengyi Chen^1,2, Roberto Tomás², Chaoying Zhao¹

¹School of Geological Engineering and Geomatics, Chang’an University, China; ²Departamento de Ingeniería Civil, Escuela Politécnica Superior de Alicante, Universidad de Alicante, Spain

Revealing Baihetan Dam's First 120m Impoundment Impact on Extensive Landslide Dynamics using Time Series Segmented Linear Regression InSAR Method

Guanchen Zhuo^1,2,3, Keren Dai^1,2, Roberto Tomás³, Mingtang Wu⁴

¹State Key Laboratory of Geohazard Prevention and Geoenviroment Protection, Chengdu University of Technology, Chengdu 610059, China; ²College of Earth Sciences, Chengdu University of Technology, Chengdu 610059, China; ³Departamento de Ingeniería Civil, Escuela Politécnica Superior, Universidad de Alicante, Alicante 03690, Spain; ⁴Zhejiang Huadong Geotechnical Investigation & Design Institute Co., Ltd, Hangzhou 310030, China

Integrating InSAR and 2D hydraulic models to analyse Land Subsidence Impact on Flood Risk.

María I. Navarro-Hernández¹, Javier Valdes-Abellan¹, Roberto Tomás¹, Serena Tessitore², Pablo Ezquerro³, Gerardo Herrera³

¹Department of Civil Engineering, Escuela Politécnica Superior, University of Alicante; ²Almaviva Digitaltec, Centro Direzionale; ³Geohazards InSAR Laboratory and Modeling Group (InSARlab), Geoscience Research Department, Geological Survey of Spain (IGME)

An Easy-to-use Cloud-Based Computing System For Comprehensive InSAR Time Series Analysis

Yongsheng Li, Jingfa Zhang

National Institute of Natural Hazards, China

Analysis of the Performance of Polarimetric PSI on Persistent and Distributed Scatterers with Sentinel-1 Data

Jiayin Luo¹, Juan M. Lopez-Sanchez¹, Francesco De Zan², Roberto Tomás Jover¹

¹University of Alicante; ²delta phi remote sensing GmbH

Ground Deformation Monitoring in Shenyang City and Fushun Pit Mine (Northeastern China) by Advanced InSAR Analysis

Camilo Naranjo¹, Cristiano Tolomei¹, Christian Bignami¹, Lianhuan Wei²

¹Istituto Nazionale di Geofisica e Vulcanologia, Italy; ²Northeastern University, China

Ground Subsidence Monitoring and Causal Analysis in Wuhan City Based on Fusion of Multi-Source InSAR Data

Haonan Jiang^1,2, Timo Balz¹, Deodato Tepate³, Francesca Cigna⁴, Jianan Li^2,5

¹State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), China, People's Republic of; ²Helmholtz Centre Potsdam, GFZ German Research Centre for Geosciences, 14473 Potsdam, Germany; ³Italian Space Agency, Via del Politecnico snc, 00133 Rome, Italy; ⁴National Research Council (CNR), Institute of Atmospheric Sciences and Climate (ISAC), Via del Fosso del Cavaliere 100, 00133 Rome, Italy; ⁵Institute for Remote Sensing Science and Application, School of Geomatics, Liaoning Technical University, Fuxin 123000, China

Impact Assessment On Archaeological Sites In Iraq Due To Climate Change-Induced Fluctuations In Water Bodies And Marshlands, Using Copernicus Sentinel-2 Time Series

Eleonora Azzarone^1,2, Francesca Cigna³, Deodato Tapete^1,3

¹Italian Space Agency (ASI), Rome, Italy; ²University of Rome Tor Vergata, Rome, Italy; ³National Research Council (CNR), Institute of Atmospheric Sciences and Climate (ISAC), Rome, Italy