Conference Agenda

Urban sensitivity to compound drought and heatwaves using climate and Earth Observation data in Beijing, China, and Athens, Greece.

Aris Nasl Pak¹, Georgios Blougouras¹, Constantinos Cartalis¹, Huili Gong², Yinghai Ke², Kostas Philippopoulos¹, Ilias Agathangelidis¹, Anastasios Polydoros¹

1: National and Kapodistrian University of Athens, Greece; 2: Capital Normal University, China

Multi-Modal Deep Learning for Multi-Temporal Urban Mapping with a Partly Missing Modality

Sebastian Hafner, Yifang Ban

Division of Geoinformatics, KTH Royal Institute of Technology, 114 28 Stockholm, Sweden

Joint Multi-Modality SAR and Optical Representation Learning

Limeng Zhang¹, Zenghui Zhang¹, Weiwei Guo², Tao Zhang¹, Wenxian Yu¹

1: Shanghai Jiao Tong University, China, People's Republic of China; 2: Tongji University, China, People's Republic of China

Explainable Deep Learning for Earth Observation- xAI

Lorena Galan, Andrei Anghel, Iulia Coca Neagoe, Daniela Faur, Mihai Datcu

National University of Science and Tehnology Politehnica of Bucharest

Global Eddy Graphs: Tracking Mesoscale Eddy Splitting and Merging Events

Fenglin Tian^1,2, Hongzhu Xiang¹, Shuang Long¹, Ge Chen^1,2

1: Frontiers Science Center for Deep Ocean Multispheres and Earth System, School of Marine Technology, Ocean University of China, Qingdao China, 266100; 2: Laboratory for Regional Oceanography and Numerical Modeling, Laoshan Laboratory, Qingdao, China, 266100

Correlation Analysis Between Shipyard Production Status And Coastal Water Quality Based On Multi-temporal Remote Sensing Data

Wanrou Qin, Yuhong Tu, Yan Song

China University of Geosciences ( Wuhan ), China, People's Republic of

Fossil Landslide Recognition Based on Object oriented Image Analysis Technology

Wenjing Wei¹, Shibiao Bai^1,2, Jinghui Fan³, Chi Du¹, Xin Wang¹

1: College of Marine Science and Engineering, Nanjing Normal University, Nanjing 210046, China; 2: College of Marine Science and Engineering, Nanjing Normal University, Nanjing 210046, China;CAS Key Laboratory of Mountain Hazards and Earth Surface Processes, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China; 3: China Aero Geophysical Survey and Remote Sensing Center for Natural Resources; Beijing 100083, China

Identification Of Hiddenancient Landslide Hazards Based Onsurface Morphology Enhancement And SBAS InSAR Methods

Xin Wang¹, Shibiao Bai^1,2, Jinghui Fan³, Xiaoxuan Xu¹

1: College of Marine Science and Engineering, Nanjing Normal University, Nanjing 210046, China; 2: College of Marine Science and Engineering, Nanjing Normal University, Nanjing 210046, China;CAS Key Laboratory of Mountain Hazards and Earth Surface Processes, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China; 3: China Aero Geophysical Survey and Remote Sensing Center for Natural Resources; Beijing 100083, China

Landslide deformation monitoring along Karakoram Highway based on InSAR technology

Chi Du¹, Shibiao Bai^1,2, Jinghui Fan³, Xin Wang¹, Wenjing Wei¹

1: College of Marine Science and Engineering, Nanjing Normal University, Nanjing 210046, China; 2: CAS Key Laboratory of Mountain Hazards and Earth Surface Processes, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China; 3: China Aero Geophysical Survey and Remote Sensing Center for Natural Resources; Beijing 100083, China.

Integration of Satellite Interferometry and Landscape Analysis to Detect Large Landslides in Mountainous Areas

Cristina Reyes-Carmona^1,2, Jorge Pedro Galve², José Vicente Pérez-Peña², Marcos Moreno-Sánchez², David Alfonso-Jorde², Daniel Ballesteros², Davide Torre³, José Miguel Azañón², Rosa María Mateos⁴, Roberto Tomás¹

1: University of Alicante, Spain; 2: University of Granada, Spain; 3: University of Urbino, Italy; 4: Geological and Mining Institute of Spain, Spain

Dynamic Process Inversion Using DInSAR of Surface Deformation in Mining Subsidence Bowl by LT-1 Satellite: a Case Study of Datong, China

Liuru Hu^1,2,3, Xinming Tang^1,2, Roberto Tomás Jover¹, Tao Li², Xiang Zhang², Zhiwei Li⁴, Xin Li³

1: the University of Alicante, Spain; 2: Land Satellite Remote Sensing Application Center (LASAC), Ministry of Natural Resources of P.R. China, China; 3: The First Topographic Surveying Brigade of the Ministry of Natural Resources of the People’s Republic of China; 4: School of Geosciences and Info-Physics, Central South University

Displacements of Fushun West Opencast Coal Mine Revealed by Multi-temporal InSAR Technology

Fang Wang¹, Meng Ao¹, Xiangben Zhang¹, Shiliu Wang¹, Cristiano Tolomei², Christian Bignami², Shanjun Liu¹, Lianhuan Wei¹

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

Pre-earthquake MBT Anomalies in the Central and Eastern Qinghai-Tibet Plateau Detected by a Wavelet-based Two-step Difference Method

Yi Cui¹, Hua Shuo Cui¹, Shan Jun Liu¹, Meng Ao¹, Lian Huan Wei¹, Wen Fang Liu¹, Mei Yi Ji^1,2

1: Northeastern University, Shenyang, China; 2: Natural Resources Monitoring Center of Shangyu District, Shaoxing, China

Assessing The Impact Of The Turkish Earthquake On Cultural Heritage

Ifeanyi Chike, Cem Sonmez Boyoglu, Timo Balz

Wuhan University, China, People's Republic of

Verifying the Detectability of Small-Scale Looting in SAR Images

Cem Sönmez Boyoğlu¹, Timo Balz¹, Mostafa Ewais¹, Gino Caspari²

1: Wuhan University, China; 2: University of Sydney, Australia

Long-term Urban Subsidence Analysis for Cultural Heritage Protection in Wuhan

Sadia Sadiq¹, Mostafa Ewais¹, Timo Balz¹, Francesca Cigna², Deodato Tapete³

1: State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, China; 2: National Research Council - Institute of Atmospheric Sciences and Climate (CNR-ISAC), Italy; 3: Italian Space Agency (ASI), Italy

Characterization of Aquifer System and Fulfilment of South-to-North Water Diversion Project in North China Plain Using Geodetic and Hydrological Data

Mingjia Li¹, Jianbao Sun², Lian Xue³, Zheng-Kang Shen^3,4

1: Southern University of Science and Technology, China, People's Republic of; 2: Institute of Geology, China Earthquake Administration, China, People's Republic of; 3: Peking University, China, People's Republic of; 4: University of California, Los Angeles, United States

Exploring Reasons Of Shale Gas Production Induce Surface Deformation And Inversion of Poroelasticity

Zhang Zhaoyang, Sun Jianbao

Institute of Geology,China Earthquake Administrator, China, People's Republic of

Employing Deep Q-Learning Networks for Anomaly Detection of SWARM Satellite Data and Beyond

Christopher C. O'Neill, Yaxin Bi, Mingjun Huang

Ulster University, United Kingdom

Present-Day Tectonic Deformation Across Tianshan From Satellite Geodetic data

Jiangtao Qiu^1,2, Jianbao Sun¹

1: InstituteofGeology,ChinaEarthquakeAdministration, China; 2: The Second Monitoring and Application Center, China Earthquake Administration, China

Comparative Study on Generating and Predicting Swarm Satellite Data by Deep Neural Networks

Yaxin Bi¹, Christopher O'Neill¹, Mingjun Huang¹, Xuemin Zhang², Jianbao Sun³

1: Ulster University, United Kingdom; 2: Institute of Earthquake Forecasting, China Earthquake Administration, Beijing 100060, China; 3: Institute of Geology, China Earthquake Administration, Beijing 100060, China

Recognising Building Earthquake Damage Using Texture Features from SAR Images in Frequency and Spatial Domains

Wei Zhai^1,2,3, Yaxin Bi²

1: Gansu Earthquake Agency; 2: Ulster University, United Kingdom; 3: Lanzhou Institute of Geotechnique and Earthquake, China Earthquake Administration

EO-AI4Urban: Earth Observation Big Data and Deep Learning for Sustainable and Resilient Cities

Yifang Ban¹, Yunming Ye², Paolo Gamba³, Peijun Du⁴, Kun Tan⁵, Linlin Lu⁶

1: KTH Royal Institute of Technology, Stockholm, Sweden; 2: Harbin Institute of Technology, Shenzhen, China; 3: University of Pavia, Pavia, Italy; 4: Nanjing University, Nanjing, China; 5: East China Normal University, Shanghai, China; 6: Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China

Earth Observation in Support of Urban Security: Applications for the Assessment of Formation Stability and Urban Hear Risk

Huili Gong¹, Constantinos Cartalis², Mingliang Gao¹, Xiaojuan Li¹, Yinghai Ke¹, Beibei Chen¹, Chaofan Zhou¹, Lin Guo¹, Kostas Philippopoulos², Ilias Agathangelidis², Anastasios Polydoros², Aris Nasl Pak², Georgios Blougouras²

1: Capital Normal University, China, People's Republic of; 2: National and Kapodistrian University of Athens, Greece

Large-Scale Satellite Image Time Series：Learning, Analaysis and Applications

Weiwei Guo¹, Daniela Faur², Yan Li³, Limen Zhang³, Zenghuig Zhang³, Mihai Datcu²

1: Tongji University, China, People's Republic of; 2: POLITEHNICA University of Bucharest; 3: Shanghai Jiaotong University

Big Data Intelligent Mining and Visual Analysis of Ocean Mesoscale Eddies

Fenglin Tian^1,2, Shuang Long¹, Shuai Wang³

1: Frontiers Science Center for Deep Ocean Multispheres and Earth System, School of Marine Technology, Ocean University of China, Qingdao China, 266100; 2: Laboratory for Regional Oceanography and Numerical Modeling, Laoshan Laboratory, Qingdao, China, 266100; 3: Space and Atmospheric Physics Group, Department of Physics, Imperial College London, SW7 2AZ UK

Multi-source and Multi-temporal Remote Sensing Images for Shipbuilding Production State Monitoring

Yan Song¹, Yuhong Tu¹, Zekai Liu¹, Wanrou Qin¹, Yunsheng Wang²

1: China University of Geosciences(Wuhan), China, People's Republic of; 2: Finnish Geospatial Research Institute

Round table discussion

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Using Machine Learning and Satellite Data from Multiple Sources to Analyze Mining, Water Management, and Preservation of Cultural Heritage

Joaquim J. Sousa^1,2, Fan Jinghui³, Bai Shibiao^4,5, Stefan Steger⁶

1: Engineering Department, School of Science and Technology, University of Trás-os-Montes e Alto Douro, 5000-801 Vila Real, Portugal; 2: Centre for Robotics in Industry and Intelligent Systems (CRIIS), INESC Technology and Science, 4200-465 Porto, Portugal; 3: China Aero Geophysical Survey and Remote Sensing Center for Natural Resources; Beijing 100083, China; 4: College of Marine Science and Engineering, Nanjing Normal University, Nanjing 210046, China; 5: CAS Key Laboratory of Mountain Hazards and Earth Surface Processes, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China; 6: Institute for Earth Observation, Eurac Research, 39100 Bolzano, Italy

Interseismic Deformation Monitoring and Earthquake Rupture Inversion with Sentinel-1 Satellite Radar Data

Jianbao Sun¹, Zhaoyang Zhang¹, Jiangtao Qiu¹, Mingjia Li¹, Yaxin Bi², Xuemin Zhang³

1: Institute of Geology, China Earthquake Administration; 2: School of Computing, Ulster University, Jordanstown, Newtownabbey, Co Antrim, UK; 3: Institute of Earthquake Forecasting, China Earthquake Administration

Application of Spaceborne SAR Interferometric to Geohazard Monitoring

Roberto Tomás¹, Qiming Zeng², Juan Manuel Lopez-Sanchez³, Chaoying Zhao⁴, Zhenhong Li⁴, Hengyi Chen⁴, Xiaojie Liu⁴, María I. Navarro-Hernández¹, Liuru Hu^1,5,6, Jiayin Luo³, Cristina Reyes¹, Diana Orlandi⁷, Esteban Díaz¹, José Luis Pastor¹, Adrián Riquelme¹, Miguel Cano¹

1: Departamento de Ingeniería Civil, University of Alicante, Alicante, Spain; 2: Institute of Remote Sensing and Geographic Information System, School of Earth and Space Science, Peking University, Beijing, China; 3: Instituto Universitario de Investigación Informática, Universidad de Alicante, Alicante, Spain; 4: College of Geological Engineering and Geomatics, Chang'an University, Xi'an, China; 5: Land Satellite Remote Sensing Application Center (LASAC), Ministry of Natural Resources of P.R. China, Beijing, China; 6: The First Topographic Surveying Brigade of Ministry of Natural Resources of the People's Republic of China, Xi'an, China; 7: Department of Information Engineering, University of Pisa, Pisa, Italy

Collaborative Monitoring of Different Hazards and Environmental Impact due to Heavy Industrial Activity and Natural Phenomena with Multi-source Remote Sensing Data

Cristiano Tolomei¹, Christian Bignami¹, Stefano Salvi¹, Elisa Trasatti¹, Guido Ventura¹, Lianhuan Wei², Meng Ao², Shanjun Liu², Guoming Liu³

1: Istituto Nazionale di Geofisica e Vulcanologia, Rome, Italy; 2: Northeastern University, China, People's Republic of; 3: National Observation and Research Station of Changbaishan Volcano, Jilin Earthquake Agency, Changchun, China

Supporting Archaeological Prospection and Heritage Site Protection with SAR in the Dragon-5 SARchaeology Project

Timo Balz¹, Francesca Cigna², Deodato Tapete³, Gino Caspari⁴, Bihong Fu⁵, Haonan Jiang¹

1: State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, China; 2: National Research Council - Institute of Atmospheric Sciences and Climate (CNR-ISAC), Italy; 3: Italian Space Agency (ASI), Italy; 4: Department of Archaeology, University of Sydney, Australia; 5: Aerospace Information Research Institute, Chinese Academy of Sciences (AIR-CAS), China

Round table discussion

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