Landslide Science

Dr. Christos Polykretis is a Geographer (BSc) holding a Master (MSc) in "Management and Analysis of Geographic Information (Geoinformatics)" and a PhD in Geoinformatics for Natural Hazard (Landslides) Assessment. His research interests focus on the application of Geospatial technologies (Geographic Information Systems – GIS, Remote Sensing, etc.) for studying and understanding natural hazard-related and other environmental issues. His specialization is mainly located in the areas of geospatial and/or satellite imagery data processing and analysis, as well as the implementation of different modeling approaches (e.g., data-driven, expert-based, integrated/hybrid), for assessing natural hazards such as landslides, soil erosion, etc. He has provided supportive teaching on relevant undergraduate and postgraduate university courses, and has also lectured on various training and lifelong learning programs. His research work includes a number of over 40 publications in both national and international scientific journals and conference proceedings, as well as participations (as external collaborator, postdoctoral researcher, research associate, and project manager) in over 15 research projects. Furthermore, his professional experience includes jobs as geospatial data analyst and R&D manager in public and private sectors.Dr. Kleomenis Kalogeropoulos is a Survey Engineer (Ph.D., MSc, and BSc), and an adjunct lecturer at the Department of Surveying and Geoinformatics Engineering, University of West Attica, Greece. His research interests are focused on GIS, SDI, spatial analysis, spatial epidemiology, natural disaster modeling, geoarchaeology, digital cartography, and geography. He is also a lecturer at the Greek National Centre for Public Administration & Local Government, a certified evaluator of the Greek General Secretariat in Research and Technology and an Expert in Earth Sciences in the use of GIS and Remote Sensing applications for the Institute of Educational Policy, of the Greek Ministry of Education. He boasts a publication record of over 100 articles in scientific journals and international conferences, which have garnered numerous references. His involvement extends to over 15 national and international research programs. Additionally, he serves as a reviewer for more than 25 esteemed scientific journals.Professor Maria Ferentinou is a Senior Lecturer in Geotechnics, and I has an extensive career in academia and industry. She is a Chartered Geologist and a Fellow of the Geological Society of London, along with being an Associate Member of the Institution of Civil Engineers (ICE). Before joining LJMU, she held prominent academic roles in South Africa, including the role of Associate Professor and Head of Department at the University of Johannesburg. Her previous experience also includes serving as a Lecturer in Rock Engineering at the University of KwaZulu Natal. Her research extends to the realm of landslides geohazard monitoring, rock engineering systems. Extensive work has also been devoted to the use of artificial neural networks to address geotechnical engineering problems. Her research is funded by the Royal Academy of Engineering, the British Academy. During her tenure at the University of Johannesburg, she secured funding from the National Research Foundation and the Water Research Commission to conduct research on ground monitoring in response to sinkhole development, using a comprehensive approach that combines InSAR and fiber optic sensors. She is an editorial board member for the Bulletin of Engineering Geology and the Environment, as well as the Quarterly Journal of Engineering Geology and Hydrogeology, and the Journal of Machine Learning and Data Science in Geotechnics. Moreover, she was the SA representative on the ISSMGE Technical Committee TC107 for tropical soils. She is a member of TC306, on geoengineering education, a member of Commission C37 on Landslides Nomenclature of the IAEG (leading the Greek group) and was honored as a rated researcher by the National Research Foundation in South Africa. She regularly reviews research proposals and publications for UK and international research councils, including EPSRC, UKRI, NRF, WRC, and over 20 international journals.Professor Andreas Tsatsaris is a Rural and Surveying Engineer (PhD, MSc, BSc), Head of the Department of Surveying and Geoinformatics Engineering of the University of West Attica (UniWA), Director of the Research Laboratory "GAEA". His doctoral thesis focuses on Applications of Geoinformatics in Spatial Epidemiology. He has been teaching since 1996 GIS, and Thematic Cartography in both Postgraduate and Undergraduate Studies Programs of the Faculty of Engineering at UniWA and since 2008 Spatial Epidemiology and Medical Geography, in Postgraduate Programs of the Faculty of Medicine at the University of Crete, Faculty of Medicine at Aristotle University of Thessaloniki, and Faculty of Medicine at Kapodistrian University of Athens. He has published more than 90 articles in scientific journals and international conferences, with several references in his work. He has participated in national and international research programs (> 30). He is a reviewer in more than 15 scientific journals and a certified evaluator of State Scholarship Foundation and General Secretariat in Research and Technology in the evaluation of research proposals.

• Section 1. Understanding the Nature of Landslides1. Fundamentals of Landslide Processes (Characteristics of Landslides - Types and Classification of Landslides - Historical Perspectives and Current Trends of Occurrence)2. Factors Triggering or Influencing Landslides (Rainfall-induced Landslides - Earthquake-triggered Landslides - Influences of Topographical, Land Use, Proximity, etc. Conditioning Factors)Section 2. Remote Sensing in Landslide Investigation3. Landslide Detection/Recognition Techniques (Spaceborne Sensors e.g. Optical Passive or SAR Satellite Images - Airborne Sensors e.g. Aerial Images or UAVs)4. Landslide Monitoring Techniques (Spaceborne Sensors e.g. Optical Passive or SAR Satellite Images - Airborne Sensors e.g. Aerial Images or UAVs - Ground-based Sensors e.g. Geophysical Surveys or On-situ Instrumental Measurements)5. Imagery Data Processing Methods (Conventional Methods - Artificial Intelligence-based Methods - Fusion-based Methods)Section 3. Spatial Landslide Assessment and Mapping6. Landslide Inventory Mapping (GIS Applications - Field Techniques for Landslide Inventory Analysis)7. Landslide Susceptibility Assessment (Qualitative/Heuristic Approaches - Statistical and Machine Learning Approaches - Integrated/Hybrid Approaches - Uncertainty Assessment and Validation)8. Landslide Hazard Assessment (Qualitative/Heuristic Approaches - Statistical and Machine Learning Approaches - Integrated/Hybrid Approaches - Uncertainty Assessment and Validation)Section 4. Engineering-based Landslide Analysis9. Geotechnical Aspects of Landslides (Soil and Rock Mechanics - Physical Properties)10. Hydrogeological Influences on Landslide Occurrence (Hydrogeological Properties - Hydrogeological Processes)11. Methodologies and Simulations (Slope Stability Analysis - Physical Models - Geophysical Methods)Section 5. Landslide Impacts and Risk Management Strategies12. Landslide Vulnerability Assessment (Structural Vulnerability Analysis - Socio-economic Vulnerability Analysis)13. Landslide Risk Analysis (Assessment of Specific Risk - Assessment of Total Risk)14. Environmental Consequences of Landslides (Erosion and Sediment Transport - Ecological Restoration and Rehabilitation)15. Landslide Prevention and Mitigation Strategies (Structural and Non-Structural Measures - Nature-based Solutions - Community Engagement and Public Awareness)Section 6. Advancing Science and Future Directions16. Future Trends of Landslide Occurrence and/or its Influencing/Triggering Factors (Future Projections of Factors and their Potential Impacts on Landslide Risk)17. Early Warning Systems (National - Regional - Local Scale)18. Technological Innovations in Landslide Research (Advances in Remote Sensing and GIS techniques - Big Data Analytics)19. Still Challenging Issues in Landslide ScienceConclusions