4:00pm - 4:45pmOralID: 106
/ S.5.4: 1
Oral Presentation
Solid Earth: 56796 - Integration of Multi-Source RS Data to Detect and Monitoring Large and Rapid Landslides and Use of Artificial Intelligence For Cultural Heritage PreservationUsing Machine Learning and Satellite Data from Multiple Sources to Analyze Mining, Water Management, and Preservation of Cultural Heritage
Joaquim J. Sousa1,2, Fan Jinghui3, Bai Shibiao4,5, Stefan Steger6
1Engineering Department, School of Science and Technology, University of Trás-os-Montes e Alto Douro, 5000-801 Vila Real, Portugal; 2Centre for Robotics in Industry and Intelligent Systems (CRIIS), INESC Technology and Science, 4200-465 Porto, Portugal; 3China Aero Geophysical Survey and Remote Sensing Center for Natural Resources; Beijing 100083, China; 4College of Marine Science and Engineering, Nanjing Normal University, Nanjing 210046, China; 5CAS Key Laboratory of Mountain Hazards and Earth Surface Processes, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China; 6Institute for Earth Observation, Eurac Research, 39100 Bolzano, Italy
4:45pm - 5:30pmOralID: 280
/ S.5.4: 2
Oral Presentation
Solid Earth: 59308 - Seismic Deformation Monitoring and Electromagnetism Anomaly Detection By Big Satellite Data Analytics With Parallel Computing (SMEAC)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
1Institute of Geology, China Earthquake Administration; 2School of Computing, Ulster University, Jordanstown, Newtownabbey, Co Antrim, UK; 3Institute of Earthquake Forecasting, China Earthquake Administration
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