WE1.S1.3
OPTIMAL SOURCE PARAMETER ESTIMATION OF MOUNT RUANG VOLCANIC ERUPTION OF APRIL 2024
Rohit Mangla, Kurniawan Tjandra, National University of Singapore, Singapore; Benoit Taisne, Nanyang Technological University, Singapore, Singapore; Santo V. Salinas, National University of Singapore, Singapore
Session:
WE1.S1: RS for Natural Disaster Monitoring and Management I Oral
Track:
Special Scientific Themes
Location:
Sky: Room S1
Presentation Time:
Wednesday, 6 August, 08:30 - 08:45
Session Co-Chairs:
Ryoichi Sato, Nigata University and Rohit Mangla, National University of Singapore
Presentation
Discussion
Resources
No resources available.
Session WE1.S1
WE1.S1.1: Performance Analysis of an Aerial Remote Sensing Platform Based on Real-Time Satellite Communication and Its Application in Natural Disaster Emergency Response
Xiangli He, Chong Xu, National Institute of Natural Hazards, Ministry of Emergency Management of China, China; Shengquan Tang, Beijing Aerospace Institue for Metrology and Measurement Technology, China; Yuandong Huang, Wenwen Qi, Zikang Xiao, National Institute of Natural Hazards, Ministry of Emergency Management of China, China
WE1.S1.2: Deep Transfer learning: new approach for predicting seismic vulnerability, case study of Al Haouz earthquake, Morocco.
Hakima Zair, Zineb El Faraj, Safia Loulad, Dounia Dakir, Samir Zouhri, University Hassan II, Faculty of Sciences Ain Chock, Morocco; Abderrazak Bannari, Ottawa University, International consultant, Canada; Ahmed Selouani, Geofly, Rabat, Morocco, Morocco; Hassan Rhinane, University Hassan II, Faculty of Sciences Ain Chock, Morocco
WE1.S1.3: OPTIMAL SOURCE PARAMETER ESTIMATION OF MOUNT RUANG VOLCANIC ERUPTION OF APRIL 2024
Rohit Mangla, Kurniawan Tjandra, National University of Singapore, Singapore; Benoit Taisne, Nanyang Technological University, Singapore, Singapore; Santo V. Salinas, National University of Singapore, Singapore
WE1.S1.4: DEBRIS FLOW RECOGNITION METHOD BASED ON VIDEO MONITORING AND EDGE DEVICES
Wei He, Dunlong Liu, Xuejia Sang, Chengdu University of Information Technology, China; Shaojie Zhang, Chinese Academy of Sciences, China
WE1.S1.5: TO WHAT EXTENT CAN DEEP LEARNING PERFORM LANDSLIDE IDENTIFICATION AS ACCURATELY AS A HUMAN EXPERT?
Zi-Ling Zeng, Shih-Yuan Lin, National Chengchi University, Taiwan
Resources
No resources available.