Landslide Scientific Assessment Conference (2026): Advanced Modeling and Monitoring for a Changing World.
Date: October 13-15, 2026 (Open, online and free).
Live Streaming: https://www.youtube.com/@landscient
Invitation
Dear Colleagues,
I am honored to invite you to the Landslide Scientific Assessment Conference (2026) or LandScient 2026, held virtually from October 13–15, 2026.
Building on the success of our previous events, this year’s theme—”Advanced Modeling and Monitoring”—focuses on the cutting edge of technology and climate resilience. Our mission remains to provide a free, global platform where rigorous science meets life-saving practice.
Your expertise is vital as we move toward a more resilient future. Join us to share your research and engage with our international community of experts.
Best regards,
Roberto J. Marin, PhD
Chair of LandScient 2026
About the conference:
Objective: The primary objective of LandScient 2026 is to provide a high-level platform for the dissemination of scientific, academic, and professional knowledge regarding the lifecycle of landslide hazards. This year’s conference, themed “Advanced Modeling and Monitoring,” focuses on the critical transition from understanding slope mechanics to implementing real-time predictive solutions. We aim to foster a global discourse on how advanced numerical modeling, digital twins, and innovative monitoring technologies can strengthen resilience in a changing global climate.
Method: LandScient 2026 is a 100% virtual event designed for global accessibility. The conference features:
- Interactive Dialogue: Live Q&A sessions and moderated discussion rooms designed to facilitate socialization and the exchange of ideas between researchers, practitioners, and technology providers.
- Scientific Sessions: Presentation of high-impact research papers delivered directly by the authors, ensuring a deep dive into the latest peer-reviewed findings.
- Technology Exhibition: A dedicated space for showcasing breakthroughs in instrumentation, satellite data (InSAR), and specialized software.
Public: We invite a diverse international community to participate, including:
- Students eager to learn from the world’s leading experts in landslide hazard assessment.
- Researchers and Academics seeking to disseminate new findings and collaborate on global landslide science.
- Geotechnical Engineers and Practitioners looking for advanced tools and methodologies for slope assessment.
- Risk Managers and Policy Makers focused on implementing early warning systems and climate adaptation strategies.
Presentations: Invited speakers are carefully selected by the scientific committee of LandScient through direct invitations. The committee also considers suggestions and voluntary offers from experts in the field of landslides.
Registration: Both speakers and participants/attendees are exempt from any registration fees; the event is free (Register here!).
Language: Presentations will be conducted in English.
Sponsorship & Partnership:
Drive Innovation with LandScient 2026
Position your brand where cutting-edge research meets global application. LandScient has a proven track record of impact, reaching over 800 participants from 89 countries in 2022 and hosting world-class experts in our high-impact 2024 program.
As we look toward 2026, we invite you to showcase your engineering solutions, geospatial technologies, and monitoring innovations to an elite community of landslide researchers and technical consultants. Join us as a strategic partner to lead the global discourse on advanced modeling, integrative monitoring, and the data-driven strategies defining the future of slope stability and climate adaptation.
To request the 2026 Technical Prospectus and discuss a customized partnership, please contact the Conference Chair directly:
Roberto J. Marin, PhD (rjmarin@landscient.com).
About LandScient:
We are a scientific and technological development company that offers solutions for the prevention and mitigation of human and economic losses resulting from landslides (as well as other natural hazards such as floods or earthquakes). In all our endeavors, we are dedicated to our mission: saving lives and safeguarding economic assets from the impact of natural hazards and disasters.
Registration
Registration for the Landslide Scientific Assessment Conference (2026) is currently open. All participants are required to fill out the online registration form. The registration is free of charge and grants access to the videoconferencing platform as well as participation in discussion spaces.
Registration form
Memories of the Landslide Scientific Assessment Conference (2024)
Landslide Scientific Assessment Conference: Slope Dynamics (Mechanisms, Deterioration, Triggers, and Failure).
List of speakers and event schedule (October/2024): Click here.
Organizer: LandScient.
Organizing Team:
– Chair: Roberto J. Marin.
– Members (committee): Julián Camilo Marín, Abbas Yousif Abbas Ali, Mohamed El Hilali.
Speakers and presentation: Michael Long, Massimiliano Bordoni, Gianvito Scaringi, Ivan Marchesini, Jie Dou, Stefano Luigi Gariano, Alexander Strom, Davide Tiranti, Olivier Dewitte, Olga Mavrouli, Željko Arbanas, Graziella Devoli, Luca Piciullo, Sandeep Panchal, Rosa M. Palau, Roberto Valentino, Benedetta Dini, Suvam Das, Lorenzo Borselli, Marco Loche, Susana Pereira, Fabien Ravet, Saeid Moussavi Tayyebi, Dario Peduto, Sangeeta, Roberto J. Marin.
Tuesday 15/Oct/2024
LandScient: Welcome (Opening of the Event), Be LandScient: A Research Journey to Save Lives – The Story of Roberto J. Marin and LandScient
Alexander Strom: Trimlines – indicator of the abrupt change of the mechanical properties of rock avalanche debris during its motion
Saeid Moussavi Tayyebi: A Two-Phase Two-Layer Depth-Integrated Landslide Propagation Modeling
Ivan Marchesini: National-scale assessment of railways exposure to rapid flow-like landslides
Roberto Valentino : Modeling the vegetation effect on shallow landslides’ initiation using CRITERIA-1D
Jie Dou: Advancing Reservoir Landslide Stability Assessment Through Multi-SAR and Airborne LiDAR Observations-Based Numerical Simulation
Graziella Devoli: The Norwegian landslide EWS and proposed procedures for quality control of historical landslides, to be used in threshold analyses
Roberto J. Marin: 2D and 3D numerical modelling for preliminary assessment of long-term deterioration in Irish glacial till geotechnical slopes
Olga Mavrouli : Structural performance of masonry walls for rock boulder impacts
Wednesday 16/Oct/2024
Luca Piciullo: An operational real-time slope stability forecast using a digital twin
Suvam Das: Stability and Hazard Assessment of the Progressive Zero Landslide in the Kalimpong Region of Darjeeling Himalaya, India
Rosa M Palau: Implementation of hydrometeorological thresholds for regional landslide warning in Catalonia (NE Spain)
Susana Pereira: A landslide risk index for municipal land use planning in Portugal
Gianvito Scaringi: The chemistry of slow clay landslides
Marco Loche: Temperature and shear-rate effects in two pure clays: Possible implications for clay landslides
Olivier Dewitte: Natural and human-induced landslides in a changing environment in tropical Africa
Lorenzo Borselli: SSAP 6.0, Full Freeware Software for Slope Stability Analysis: Case Studies in Mexico and Italy
Benedetta Dini: InSAR-based landslide precursors: case study of the Achoma landslide, Peru
Thursday 17/Oct/2024
Sandeep Panchal: A Comparative Study of Frequency Ratio, Shannon’s Entropy and Analytic Hierarchy Process (AHP) Models for Landslide Susceptibility Assessment
Massimiliano Bordoni: Impact of mechanical and hydrological reinforcement effects of cultivated plants on shallow landslides
Sangeeta: Influence of anthropogenic activities on landslide susceptibility: A case study in Solan district, Himachal Pradesh, India
Stefano Luigi Gariano: Predicting rainfall-induced landslides in a changing climate: data, tools, and challenges from a regional-scale perspective
Zeljko Arbanas: Landslide initiation in small-scale slopes exposed to artificial rain
Fabien Ravet: Sensing technologies for landslide monitoring: static and dynamic strain measurements with optical fibers and MEMS based wireless sensors
Darío Peduto: Multi-source data-based risk assessment of a road interacting with a slow-moving landslide-affected area.
Mike Long: Long term geotechnical performance of earthworks slopes in Irish glacial tills
More info: conference@landscient.com
Memories of the Landslide Scientific Assessment Conference (2022)
Here are the highlights and memories from our previous event.
Landslide Scientific Assessment Conference (2022):
Landslide hazard
LandScient invites researchers, professionals, government officials, and people from around the world to be with us in our mission to save lives: Be LandScient: save lives! Do not miss any of the wonderful presentations that we enjoyed at the conference. You can watch the presentations on our YouTube channel:
Find relevant information and stay in touch at:
Linkedin page (LandScient), Facebook page (LandScient), Twitter account (@LandScient), Instagram account (@LandScient1),
Event schedule (list of speakers and research articles presented in October/2022):
Program (2022 event)
We had the participation of top scientific authors from (or residing in): Belgium, USA, Mexico, Italy, Spain, Canada, France, Colombia, Iran, Singapore, China, Brazil, Ethiopia, India, Norway, Argentina, Austria, Czech Republic, United Kingdom, and Australia.
The event schedule (authors and research articles presented) was available during the previous event (Check the program here!).
Here is the short list of authors and papers from the previous event:
Plenary conference (title): Rockfall susceptibility and seismically induced rockfall susceptibility at regional and national scale
Rockfall susceptibility and network-ranked susceptibility along the Italian railway
https://doi.org/10.1016/j.enggeo.2021.106301
Three-dimensional simulations of rockfalls in Ischia, Southern Italy, and preliminary susceptibility zonation
https://doi.org/10.1080/19475705.2022.2131472
By: Massimiliano Alvioli
Plenary conference (title): Prediction of rainfall-induced shallow landslides: from field to satellite
Development of a data-driven model for spatial and temporal shallow landslide probability of occurrence at catchment scale
https://doi.org/10.1007/s10346-020-01592-3
Observations on soil-atmosphere interactions after long-term monitoring at two sample sites subjected to shallow landslides
https://doi.org/10.1007/s10064-021-02334-y
By: Massimiliano Bordoni
Plenary conference
Improvement of landslide hazard assessments for regulatory zoning in France: STATE–OF–THE-ART perspectives and considerations
https://doi.org/10.1016/j.ijdrr.2020.101562
By: Yannick Thiery
Developing a prototype landslide early warning system for Darjeeling Himalayas using SIGMA model and real-time field monitoring
https://doi.org/10.1007/s12303-021-0026-2
By: Minu Treesa Abraham
Recent innovations in the LaRiMiT risk mitigation tool: implementing a novel methodology for expert scoring and extending the database to include nature-based solutions
https://doi.org/10.1007/s10346-022-01855-1
By: Vittoria Capobianco
Implications of slope aspect for landslide risk assessment: A case study of Hurricane Maria in Puerto Rico in 2017
https://doi.org/10.1016/j.geomorph.2021.107874
By: Yuri Gorokhovich
Landslide susceptibility evaluation and hazard zonation techniques – a review
https://doi.org/10.1186/s40677-020-00152-0
By: Leulalem Shano
Assessing shallow landslide hazards using the TRIGRS and SHALSTAB models, Serra do Mar, Brazil
https://doi.org/10.1007/s12665-018-7436-0
By: Tiago Damas Martins
A GIS-based tool for probabilistic physical modelling and prediction of landslides: GIS-FORM landslide susceptibility analysis in seismic areas
https://doi.org/10.1007/s10346-022-01885-9
By: Jian Ji
Probabilistic analysis of an 80,000 m2 landslide in Shiraz, Iran
https://doi.org/10.1007/s10346-021-01792-5
By: Amir Hossein Shafiee
Practical evaluation of single-frequency dGNSS for monitoring slow-moving landslides
https://doi.org/10.1007/s10346-021-01737-y
By: Rodriguez J
Effects of soil heterogeneity on susceptibility of shallow landslides
https://doi.org/10.1007/s10346-021-01738-x
By: Emir Ahmet Oguz
Assessing landslide volume using two generic models: application to landslides in Whatcom County, Washington, USA
https://doi.org/10.1007/s10346-021-01825-z
Gabriel Legorreta Paulin
Assessing two methods of defining rainfall intensity and duration thresholds for shallow landslides in data-scarce catchments of the Colombian Andean Mountains
https://doi.org/10.1016/j.catena.2021.105563
By: Roberto J. Marin
A review of recent studies on landslide hazard in Latin America
https://doi.org/10.1080/02723646.2021.1978372
Multitemporal landslide inventory analysis of an intertropical mountain in west-central Mexico — Basis for hazard management
https://doi.org/10.1007/s11629-021-7223-3
By: Alejandro César Valdés Carrera
Continuous assessment of landslides by measuring their basal temperature
https://doi.org/10.1007/s10346-021-01762-x
By: Carolina Seguí
Quantifying the Effect of Precipitation on Landslide Hazard in Urbanized and Non-Urbanized Areas
https://doi.org/10.1029/2021GL094038
By: Elizabeth C. Johnston
Dynamic numerical modelling of co-seismic landslides using the 3D distinct element method: Insights from the Balta rockslide (Romania)
https://doi.org/10.1016/j.enggeo.2022.106774
Multiple geophysical investigations to characterize massive slope failure deposits: application to the Balta rockslide, Carpathians
https://doi.org/10.1093/gji/ggab028
By: Anne-Sophie Mreyen
Coupling Depth-Averaged and 3D numerical models for the simulation of granular flows
https://doi.org/10.1016/j.compgeo.2022.104879
By: Andrea Pasqua
Hydrothermally induced edifice destabilisation: The mechanical behaviour of rock mass surrounding a shallow intrusion in andesitic lavas, Pinnacle Ridge, Ruapehu, New Zealand
https://doi.org/10.1016/j.enggeo.2022.106696
By: Stanley P. Mordensky (S.P. Mordensky)
Probabilistic hazard assessment of landslide-induced river damming
https://doi.org/10.1016/j.enggeo.2022.106678
By: Peng Zeng
Hazard Analysis of Hydrometeorological Concatenated Processes in the Colombian Andes
https://doi.org/10.1007/978-3-030-34397-2_2
By: Edier Aristizábal
Landslide hazard assessment using analytic hierarchy process (AHP): A case study of National Highway 5 in India
https://doi.org/10.1016/j.asej.2021.10.021
By: Sandeep Panchal.
Quantitative risk assessment of landslides triggered by earthquakes and rainfall based on direct costs of urban buildings
https://doi.org/10.1016/j.geomorph.2016.07.032
By: Johnny Alexander Vega.
Numerical modeling and hazard implications of landslides at the Ardillas Volcanic Dome (Tacaná Volcanic Complex, Mexico-Guatemala)
https://doi.org/10.1007/s11069-022-05348-1
By: R. Vázquez
Implementation of the TRIGRS model with reliability analysis for hazard assessment of shallow rainfall-triggered landslides
https://doi.org/10.22430/22565337.1037
By: Edwin F. García-Aristizábal
A Landslide Numerical Factor Derived from CHIRPS for Shallow Rainfall Triggered Landslides in Colombia
https://doi.org/10.3390/rs14092239
By: Cheila Avalon Cullen
Linear discriminant analysis to describe the relationship between rainfall and landslides in Bogotá, Colombia
https://doi.org/10.1007/s10346-015-0593-2
By: Alfonso Mariano Ramos-Cañón
Probabilistic landslide risk assessment in water supply basins: La Liboriana River Basin (Salgar-Colombia)
https://doi.org/10.1007/s11069-021-04836-0
By: Cesar Augusto Hidalgo
Debris flows occurrence in the semiarid central Andes under climate change scenario
https://doi.org/10.3390/geosciences11020043
By: Stella Moreiras
Predicting and Understanding Landslide Events With Explainable AI
https://doi.org/10.1109/ACCESS.2022.3158328
By: Paolo Nesi
An overview of debris-flow mathematical modelling
https://doi.org/10.1016/j.earscirev.2022.104135
By: Mario Germán Trujillo-Vela
Mass movement susceptibility assessment of alpine infrastructure in the Salzkammergut area, Austria
https://doi.org/10.1016/j.ijdrr.2022.103009
By: Lorena Abad
A thermo-hydro-mechanical approach to soil slope stability under climate change
https://doi.org/10.1016/j.geomorph.2022.108108
By: Gianvito Scaringi
A near-real-time global landslide incident reporting tool demonstrator using social media and artificial intelligence
https://doi.org/10.1016/j.ijdrr.2022.103089
By: Catherine V.L. Pennington
Date: January 17, 2023. Method to estimate the initial landslide failure surface and volumes using grid points and spline curves in MATLAB https://doi.org/10.1007/s10346-022-01940-5 By: Gautam Prajapati