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UYGU Summer School 2024

Remote Sensing for Disaster Management

June 10 - 12, 2024, Istanbul Technical University, Türkiye

Lecture Fields

Remote sensing, disaster management, earthquakes, wildfires, landslides
8

Lectures

8

Lecturers

18+

Workhours

Welcome to the IEEE GRSS Turkey Chapter Summer School on Remote Sensing for Disaster Management!

IEEE GRSS Turkey Chapter is delighted to invite you to the Fifth Earth Observation Applications Summer School, UYGU2024, focusing on "Remote Sensing for Disaster Management."

UYGU2024 will be held in the Institute of Disaster Management, Istanbul Technical University, Türkiye, between the dates of June 10 - 12, 2024.

Throughout the three-day event, leading experts will present lectures including, but not limited to, the following topics:

Leveraging Geospatial Data Science for Disaster Risk Management

Deep Learning Advances for Monitoring and Forecasting Natural Hazards

Anticipating and Responding to Disasters

Post-Earthquake Monitoring of Landslide Hazards

EO Open Data, Processing, and Information Portals for Disaster Management

We look forward to your participation and wish you a highly engaging and productive summer school experience.

IEEE GRSS Turkey Chapter

Technical Program

GMT +3 (Istanbul)
10 June 2024 - Monday
11 June 2024 - Tuesday
12 June 2024 - Wednesday
08:30 - 09:00
Registration
Welcome Speech
09:00 - 10:30
Impact and Needs Assessment in Disaster Management
(Mikdat Kadıoğlu, Istanbul Technical University, Türkiye)
Image-Based Earthquake Damage Identification using Deep Learning
(Gülşen Taşkın Kaya, Istanbul Technical University, Türkiye)
Deep Learning Advances for Monitoring and Forecasting Natural Hazards: Theory and Practice
(Ioannis Papoutsis, National Technical University of Athens, Greece)
Anticipating and Responding to Disaster Events with Remote Sensing – Recent and Emerging Trends, and Persistent Limits
(Norman Kerle, University of Twente, Netherlands)
10:30 - 10:45
Coffee Break
10:45 - 12:15
Explainable Artificial Intelligence to Explore Intrinsic Characteristics of Factors Controlling Natural Hazards: Opening the Black-Box
(Taşkın Kavzoğlu, Gebze Technical University, Türkiye)
Deep Learning Advances for Monitoring and Forecasting Natural Hazards: Theory and Practice
(Ioannis Papoutsis, National Technical University of Athens, Greece)
Anticipating and Responding to Disaster Events with Remote Sensing – Recent and Emerging Trends, and Persistent Limits
(Norman Kerle, University of Twente, Netherlands)
12:15 - 13:30
Lunch Break
13:30 - 15:00
Leveraging Geospatial Data Science for Effective Disaster Risk Management: The role of Machine Learning, Explainable and Responsible AI, and Digital Twins
(Saman Ghaffarian, University College London, England)
SAR / InSAR for Geohazards
(Mahmud Haghshenas Haghighi, Leibniz Universität Hannover, Germany)
Post-Earthquake Monitoring of Seismically-induced Chains of Landslide Hazards: Implications from February 6, 2023, Kahramanmaraş (Türkiye) Earthquake Sequence
(Tolga Görüm, Istanbul Technical University, Türkiye)
15:00 - 15:15
Coffee Break
15:15 - 16:45
Leveraging Geospatial Data Science for Effective Disaster Risk Management: The role of Machine Learning, Explainable and Responsible AI, and Digital Twins
(Saman Ghaffarian, University College London, England)
SAR / InSAR for Geohazards
(Mahmud Haghshenas Haghighi, Leibniz Universität Hannover, Germany)
EO Open Data, Processing and Information Portals for Disaster Management
(Nusret Demir, Akdeniz University, Türkiye)
16:45 - 17:15
Closing Speeches and Evaluation
Genel Foto 1
Genel Foto 2

Lecturers

Mikdat Kadıoğlu
Türkiye
Gülşen Taşkın Kaya
Türkiye
Taşkın Kavzoğlu
Türkiye
Saman Ghaffarian
Saman Ghaffarian
England
Ioannis Papoutsis
Greece
Mahmud Haghshenas Haghighi
Germany
Norman Kerle
Netherlands
Tolga Görüm
Türkiye
Nusret Demir
Türkiye

Organizing Committee

Venue: