Session | ||
S.5.4: SOLID EARTH & DISASTER REDUCTION
56796 EO4 Landslides & Heritage Sites 59308 SMEAC | ||
Presentations | ||
4:00pm - 4:45pm
Oral ID: 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 Preservation Using Machine Learning and Satellite Data from Multiple Sources to Analyze Mining, Water Management, and Preservation of Cultural Heritage 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 - 5:30pm
Oral ID: 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 1Institute of Geology, China Earthquake Administration; 2School of Computing, Ulster University, Jordanstown, Newtownabbey, Co Antrim, UK; 3Institute of Earthquake Forecasting, China Earthquake Administration |