Topics Webinar | Leveraging AI: Integrating Remote Sensing, GIS, and Machine Learning for Natural Disaster Resilience, 11 December 2024
A message from the webinar Chair:
It is a pleasure to welcome you to this webinar, entitled “Leveraging AI: Integrating Remote Sensing, GIS, and Machine Learning for Natural Disaster Resilience”, and hosted by Remote Sensing, Drones, Land, IJGI, and Geomatics. We are excited to bring together a remarkable group of experts and innovators from around the world to tackle a critical challenge of the modern era: building resilience against natural hazards through the power of advanced technology.
Natural hazards, including earthquakes, floods, landslides, volcanic eruptions, wildfires, and droughts, have profound impacts on communities and lead to devastating financial and human losses. In this webinar, we will explore the latest technological breakthroughs in this field, where machine learning (ML), remote sensing (RS), and geographic information systems (GISs) are reshaping how we approach these complex challenges. This session will highlight ML methods that can extract meaningful insights from large data sets, transforming raw information into valuable knowledge. GISs add a vital dimension to these insights, acting as powerful tools for spatial analysis and visualization. In addition, given recent advances in deep learning, ensemble methods, evolutionary algorithms, and explainable AI (XAI), the capabilities of hazard prediction and preparedness have never been more promising.
Our aim is to foster connections, spark new ideas, and explore how these innovative approaches are transforming hazard mapping, monitoring, and assessment. Thank you for being part of this crucial journey. I hope you have an inspiring day filled with insights, collaboration, and discovery.
Warm regards,
Dr. Paraskevas Tsangaratos
Date: 11 December 2024 at 9:00 a.m. CET | 4:00 p.m. CST Asia | 10:00 a.m. EET
Webinar ID: 843 0771 3005
Website: https://sciforum.net/event/Topics-30
Register now for free!
Program:
|
Speaker |
Presentation Title |
Time in CET |
Time in CST Asia |
Time in EET |
|
Dr. Paraskevas Tsangaratos |
Chair’s Introduction |
9:00–9:10 a.m. |
4:00–4:10 p.m. |
10:00–10:10 a.m. |
|
Prof. Dr. Raffaele Albano |
AI-Based Flood Monitoring and Early Warning |
9:10–9:35 a.m. |
4:10–4:35 p.m. |
10:10–10:35 a.m. |
|
Dr. Haoyuan Hong |
Landslide Susceptibility Mapping Based on the Reliability of Landslide and Non-Landslide Samples |
9:35–10:00 a.m. |
4:35–5:00 p.m. |
10:35–11:00 a.m. |
|
Dr. Dimitrios Loukidis |
Integrating Geotechnical Parameters with Advanced Machine Learning for Enhanced Landslide Susceptibility Mapping: A Case Study of Southwestern Cyprus |
10:00–10:25 a.m. |
5:00–5:25 p.m. |
11:00–11:25 a.m. |
|
Q&A Session |
10:25–10:35 a.m. |
5:25–5:35 p.m. |
11:25–11:35 a.m. |
|
|
Dr. Paraskevas Tsangaratos (Chair) |
Closing of Webinar |
10:35 – 10:40 a.m. |
5:35–5:40 p.m. |
11:35–11:40 a.m. |
After registering, you will receive a confirmation email containing information on how to join the webinar. Registrations with academic institutional email addresses will be prioritized.
Unable to attend? Register anyway and we will let you know when the recording is available to watch.
Webinar Chair and Keynote Speakers:
- Dr. Paraskevas Tsangaratos, Department of Geological Studies, School of Mining and Metallurgical Engineering, National University of Athens, Athens, Greece;
- Prof. Dr. Raffaele Albano, School of Engineering, University of Basilicata, Potenza, Italy;
- Dr. Haoyuan Hong, School of Geographic Sciences, Nanjing University of Information Science and Technology, Nanjing, China;
- Dr. Dimitrios Loukidis, Department of Civil & Environmental Engineering, University of Cyprus, Nicosia, Cyprus.
Relevant Special Issues:
“Assessing Natural Hazards through Advanced Machine Learning Methods and Remote Sensing Technology: 3rd Edition”
Guest Editors: Dr. Paraskevas Tsangaratos, Dr. Wei Chen, Dr. Ioanna Ilia and Dr. Haoyuan Hong
Deadline for manuscript submissions: 31 December 2024
“Unmanned Aerial Systems (UAS) for Global Challenges: Current Technologies and Future Prospects”
Guest Editors: Dr. Bashar Alsadik, Prof. Dr. Francesco Nex, Prof. Dr. Fabio Remondino and Dr. Jesús Balado Frías
Deadline for manuscript submissions: 31 December 2024
“Advances in Remote Sensing and GIS for Natural Hazards Monitoring and Management”
Guest Editors: Dr. Adrianos Retalis and Dr. Dimitrios D. Alexakis
Deadline for manuscript submissions: 31 December 2024
“Artificial Intelligence for Soil Erosion Prediction and Modeling”
Guest Editors: Dr. Nikiforos Samarinas, Dr. Nikolaos L. Tsakiridis, Dr. Nikolaos Tziolas and Dr. Ioannis N. Daliakopoulos
Deadline for manuscript submissions: 3 April 2025
Relevant Article:
“Geospatial Intelligence and Machine Learning Technique for Urban Mapping in Coastal Regions of South Aegean Volcanic Arc Islands”
Authors: Pavlos Krassakis, Andreas Karavias, Paraskevi Nomikou, Konstantinos Karantzalos, Nikolaos Koukouzas, Stavroula Kazana, Issaak Parcharidis
Geomatics 2022, 2(3), 297-322; https://doi.org/10.3390/geomatics2030017