GSW

W11: Earth Observation and Geospatial Artificial Intelligence for Disaster Risk Management

Workshop Overview

This joint workshop aims to explore earth observations and integrate Geospatial Artificial Intelligence (GeoAI) theories, methods and applications for effective disaster management, emphasizing the utilization of GeoAI dealing with drone and satellite images, as well as LiDAR point clouds. The combined scope classified in three categories.

(1) General theories

(2) Technical methods

(3) Practical applications

Workshop Theme

  • General theories
    • Introduction to GeoAI for Disaster Management
    • Disaster-resilient infrastructure and city planning
    • Disasters and early warning in a changing climate
    • Communication of Disaster Information through GeoAI
  • Techincal methods
    • Disaster Risk assessment and estimation leveraging GeoAI and Python
    • Hazard, risk, and vulnerability assessment: Geospatial Infrastructure Management Ecosystem (GeoIME)
    • Geospatial technology for inclusive disaster risk management
    • Geospatial technology for capacity building in disaster risk reduction
  • Practical applicaions
    • Machine Learning applications for disaster risk reduction- enabled disaster early warning
    • On-demand high-resolution imaging and geospatial services for disaster management
    • Mobile applications and crowd sourcing for disaster preparedness and response.
    • Case studies and best practices in disaster risk reduction and disaster management.
    • 2D/3D/VR/AR Visualizasion application of disaster management through GeoAI

This combined scope provides a comprehensive framework for participants from diverse backgrounds to engage in discussions, share knowledge, and collaborate on innovative solutions in the field of GeoAI and disaster management. The workshops aim to foster a holistic approach to addressing challenges and enhancing resilience through the integration of cutting-edge technologies and methodologies.

Workshop Organizers

Chairs

Fabiola D. Yépez-Rincón

Professor, Universidad Autónoma de Nuevo León (UANL), Mexico, Deparment of Geomatica,
President of SELPER International,
[email protected]

Jie Shen

Professor, School of Geography, Nanjing Normal University, China, Commission on Cartography in Early Warning and Crisis Management,
[email protected]

S P Aggarwal

Professor & Director, NESAC, Department of Space,
Government of India and Chair,
ISPRS WG,
[email protected]

Saied Pirasteh

Professor & Associate Dean, the Institute of AI, Shaoxing University, China, University of Waterloo, Canada, Chair of the ISPRS ICWG III/IVa, UN-GGIM AN Advisory Board and Expert,
[email protected]; 

Secretary

Shyam S Kundu

Head, SASD, NESAC, Department of Space, Government of India and Secretary, ISPRS WG V/4
[email protected]; [email protected]

Co - Chairs

Seongsam Kim

Research official, National Disaster Management Research Institute, Ministry of Interior Security and Co-chair, ISPRS WG V/4, Korea;
[email protected]

Viktor Lagutov

Professor, Systems Laboratory, Central European University, Budapest, Hungary and Co-chair, ISPRS WG V/4;
[email protected];[email protected]

Weilian Li

Computational Methods Lab, HafenCity University Hamburg,Germany,
[email protected];<br>[email protected]