NH028
Landslide Life Cycle: From Hazard Analysis to Risk Assessment
Session ID#: 248526
Session Description:
Landslide events have adverse and global consequences for human safety, infrastructure, economic activity, and natural resources. These hazards can accompany storms, earthquakes, volcanic eruptions, and wildfires, and may shift with climate and land-use change. Landslides can also cause cascading consequences like tsunami or river dams. New technologies and data analysis approaches have accelerated landslide mapping, monitoring, modeling, and outreach efforts, enabling improved characterization and communication of landslide processes and their societal impacts. This session brings together contributions that span the landslide life cycle, from understanding landslide hazards to communicating landslide science to reduce risk. We welcome a wide range of contributions on topics such as characterizing, mapping, and modeling landslide events; rock and soil characterization; susceptibility and risk modeling and communication; quantifying seismic, hydroclimatic, or other triggering mechanisms; ground-based and remote monitoring; and forecasting and warning. We invite studies on scales ranging from individual hillslopes to global perspectives.
Co-Sponsor(s):
Index Terms:
1810 Debris flow and landslides [HYDROLOGY]
1826 Geomorphology: hillslope [HYDROLOGY]
4306 Multihazards [NATURAL HAZARDS]
4333 Disaster risk analysis and assessment [NATURAL HAZARDS]
Primary Convener: Lisa Luna, U.S. Geological Survey, Geologic Hazards Science Center, Golden, United States
Conveners: Ben Adam Leshchinsky, Oregon State University, Department of Forest Engineering, Resources and Management, Corvallis, United States, Stratis Karantanellis, California State University Fullerton, Fullerton, United States and Eric L Bilderback, USGS Geologic Hazards Science Center, Golden, United States
Student/Early Career Convener: Tobias Halter, WSL Swiss Federal Institute for Forest, Snow and Landscape Research, Birmensdorf, Switzerland
From Sky to Slope: UAS and Airborne LiDAR Applications to Landslide Monitoring and Susceptibility Modeling in Yellowstone National Park (1845492)
Ashley Butterworth, Idaho State University, Geosciences, Pocatello, United States, Donna Delparte, Idaho State University, Geosciences, Pocatello, ID, United States, Benjamin T Crosby, Idaho State University, Department of Geosciences, Pocatello, United States, James Mahar, Idaho State University, Civil and Environmental Engineering, Pocatello, United States and Matthew Belt, Idaho State University, Pocatello, United States
Living on the Edge: A 40-Year History of Ground Motion in Lettomanoppello (Central Italy) from Satellite InSAR Observations (1851923)
Matteo Albano1, Marco Polcari2, Marco Moro1, Michele Saroli3, Giovanni Ciccone4, Matteo Fiorucci3, Valerio Ruocco1 and Fawzi Doumaz5, (1)INGV National Institute of Geophysics and Volcanology, Rome, Italy, (2)Istituto Nazionale di Geofisica e Vulcanologia, Palermo, Italy, (3)Università degli Studi di Cassino e del Lazio meridionale, Cassino, Italy, (4)Comune di Lettomanoppello, Lettomanopello, Italy, (5)Istituto Nazionale di Geofisica e Vulcanologia, Rome, Italy
Impact of Riverine Toe Erosion on Slope Stability in the Himalayas: Insights from the Kali Gandaki Corridor (1852181)
Raksha Subedi, Pulchowk Campus, Institute of Engineering, Tribhuvan University, Pulchowk, lalitpur, Bagmati, NEPAL, Pratik Gyawali, Pulchowk Campus, Institute of Engineering, Tribhuvan University, Civil Engineering Department, Pulchowk, lalitpur, Nepal and Basanta Raj Adhikari, Sichuan University, Institute for Disaster Management and Reconstruction, Chengdu, China
Variable Velocity-Acceleration Scaling in Accelerating Creep (1856122)
Chengrui Chang1, Hiroyuki Noda2, Dongliang Huang2, Chao Huang3, Qiang Xu4 and Tetsuo Yamaguchi5, (1)University of Tokyo, Bunkyo-ku, Japan, (2)Kyoto University, Disaster Prevention Research Institute, Kyoto, Japan, (3)Kyoto University, Division of Earth and Planetary Sciences, Kyoto, Japan, (4)Chengdu University of Technology, State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu, China, (5)The University of Tokyo, Department of Biomaterial Sciences, Graduate School of Agricultural and Life Sciences, Tokyo, Japan
Regional detection and characterization of hundreds of slow-moving bedrock landslides in southern Alaska (1856594)
Lauren N Schaefer, USGS Geologic Hazards Science Center, Golden, CO, United States, Jinwoo Kim, Southern Methodist University, Department of Earth Sciences, Dallas, United States, Dennis M Staley, U.S. Geologic Survey, Volcano Science Center, Alaska Volcano Observatory, Anchorage, United States, Katherine R Barnhart, USGS Geologic Hazards Science Center, Golden, United States and Zhong Lu, Southern Methodist University, Roy M Huffington Department of Earth Sciences, Dallas, United States
Towards operational landslide hazard forecasting system in Gandaki Basin, Nepal using machine learning, remote sensing and multi-source data (1858484)
Pukar Man Amatya1, Mr. Thomas Stanley2, Sudan Bikash Maharjan3, Sabin Bhattarai3, Birendra Bajracharya4 and Timothy M Lahmers5, (1)University of Maryland Baltimore County, GESTAR-II, Baltimore, MD, United States, (2)University of Maryland Baltimore County, GESTAR-II, Baltimore, United States, (3)International Centre for Mountain Development (ICIMOD), Kathmandu, Nepal, (4)International Centre for Integrated Mountain Development (ICIMOD), Kathmandu, Nepal, (5)NASA Goddard Space Flight Center, Greenbelt, United States
Machine Learning-Based Landslide Susceptibility and Risk Assessment for Disaster Risk Reduction in Kyrgyzstan (1860644)
Eldiiar Duulatov, National Academy of Sciences of the Kyrgyz Republic, Institute of Geology, Bishkek, Kyrgyzstan and Geoffrey M Henebry, Michigan State University, Department of Geography, Environment, and Spatial Sciences & Center for Global Change and Earth Observations, East Lansing, United States
Bedrock ledges, colluvial wedges, and ridgetop water towers: Geomorphic and atmospheric controls on the initiation and runout of the 2023 Wrangell landslide, SE Alaska, USA (1868720)
Josh J Roering, University of Oregon, Department of Earth Sciences, Eugene, United States, Margaret M. Darrow, University of Alaska, Fairbanks, Civil, Geological, and Environmental Engineering, Fairbanks, United States, Annette Irene Patton, Oregon State University, Corvallis, United States and Aaron Benjamin Jacobs, NOAA, NWS Juneau Forecast Office, Juneau, United States
Analysis of Landslide Displacement and Kinematics through Near-Real Time Surface Monitoring with RTK-GNSS Arrays (1868968)
Ben Adam Leshchinsky, Organization Not Listed, Washington, DC, United States; Oregon State University, Department of Forest Engineering, Resources and Management, Corvallis, United States and Erik Fulmer, Oregon State University, Department of Civil and Construction Engineering, Corvallis, OR, United States
The Need for Simple Landslide and Debris-Flow Runout Maps: Techniques for Applying Grfin Tools for Regional Landslide Susceptibility (1869454)
Isaac Leb1, Mark E Reid2, Dianne L Brien2 and Corina Cerovski-Darriau3, (1)USGS, Natural Hazards Mission Area, Golden, United States, (2)USGS, Volcano Science Center, Moffett Field, United States, (3)USGS Geologic Hazards Science Center, Golden, United States
Bayesian Landslide Frequency Estimates to Inform County Level Risk Reduction Across the United States (1869763)
Lisa Luna1, Jacob Woodard2, Janice L Bytheway3, Gina Belair4 and Benjamin B Mirus1, (1)U.S. Geological Survey, Geologic Hazards Science Center, Golden, United States, (2)USGS Geologic Hazards Science Center, Golden, United States, (3)NOAA Physical Sciences Laboratory, Boulder, United States, (4)USGS Geologic Hazards Science Center, Golden, CO, United States
Connecting the Dots Between Storms and Landslides: Using Model Climate to Improve Improve Situational Awareness of Atmospheric River Related Hazards in Southeast Alaska (1873637)
Deanna Nash1, Jonathan Rutz2, Aaron Benjamin Jacobs3 and Brian Kawzenuk2, (1)Center for Western Weather and Water Extremes, Scripps Institution of Oceanography, University of California San Diego, La Jolla, United States, (2)Center for Western Weather and Water Extremes (CW3E), Scripps Institution of Oceanography, UC San Diego, La Jolla, United States, (3)NOAA, NWS Juneau Forecast Office, Juneau, United States
Unveiling the 2023 Acceleration of the Portuguese Bend Landslide Complex: Insights from Long-Term 4D InSAR-GPS Monitoring (1875130)
Aoqing Guo, Central South University, Changsha, China; University of California, Berkeley, Berkeley, United States, Roland Bürgmann, University of California Berkeley, Earth and Planetary Science, Berkeley, United States, Yuankun Xu, University of California Berkeley, Department of Earth and Planetary Science, Berkeley, United States, Liwei Hu, University of Bologna, Bologna, Italy, Alexander L Handwerger, UCLA, JIFRESSE; Jet Propulsion Lab, Los Angeles, United States and Eric Jameson Fielding, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States
Spatial-temporal Landslide Susceptibility modeling in Data-Scarce Areas: utilizing Recurrent Neural Networks and Transfer Learning (1876865)
Zhengshan Tian1, Yong Zhang2, Yi Wang3, Zhice Fang4 and Shuhui Zheng1, (1)China University of Geosciences Wuhan, Wuhan, China, (2)Changjiang Water Resources Commission, Wuhan, China, (3)China University of Geosciences, Wuhan, China, (4)Henan Academy of Sciences, Henan, China
Risks from coseismic landslides due to the M=4.8 earthquake of April 2025, on the southeast slope of the Nevado de Colima, Jalisco, Mexico. (1877089)
Carlos Suarez-Plascencia, University of Guadalajara, DGOT-SISVOC, Guadalajara, Mexico, Gabriel Reyes Alfaro, University of Guadalajara, Guadalajara, Mexico, Elizabeth Trejo-Gomez, SisVOc, Puerto Vallarta, JA, Mexico and Sergio Ramirez-Lopez, Chief of Civil Protection and Firefighters of the State of Jalisco, Proteccion Civil, Guadalajara, JA, Mexico
Combining in-situ soil moisture data and precipitation in machine learning for national scale landslide early warning (1877400)
Tobias Halter1, Peter Lehmann2, Jordan Aaron3, Alexander Bast4 and Manfred Stähli1, (1)WSL Swiss Federal Institute for Forest, Snow and Landscape Research, Birmensdorf, Switzerland, (2)ETH Zurich, Departement of Environmental Systems Science, Zurich, Switzerland, (3)Department of Earth and Planetary Sciences, ETH Zurich, Zurich, Switzerland, (4)WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland
Leveraging transferrable predictors for enhanced rainfall-triggered landslide hazard assessments over regional scales (1879577)
Jacob Woodard, USGS Geologic Hazards Science Center, Golden, United States, Benjamin B Mirus, U.S. Geological Survey, Geologic Hazards Science Center, Golden, United States, Lisa Luna, University of Potsdam, Potsdam, Germany and Max Sutton, Stanford University, Stanford, CA, United States
Rethinking the Landslide Life Cycle (1882959)
Bretwood M Higman, Ground Truth Alaska, Seldovia, United States, Noah J Finnegan, University of California - Santa Cruz, Department of Earth and Planetary Sciences, Santa Cruz, CA, United States, Chunli Dai, University of Florida, Ft Walton Beach, FL, United States, Ben Adam Leshchinsky, Oregon State University, Department of Forest Engineering, Resources and Management, Corvallis, United States, Oliver Korup, University of Potsdam, Potsdam, Germany, Susan J Conway, Université de Nantes, Nantes, France and Katie Hughes, Victoria University of Wellington, Wellington, New Zealand
Landslide Conditioning Factors in the Hilly Regions of Bangladesh (1885154)
Bustanul Zannat, University of Kentucky, Geography, Lexington, KY, United States, Sinthia Silvi, Ohio University, Geography, Athens, United States and Khandakar Hasan Mahmud, Jahangirnagar University, Geography and Environment, Dhaka, Bangladesh
Sentinel-1 Consecutive Interferogram Stacking Approach (CIAS) for High-Resolution Landslide Monitoring: A Dynamic Method for Continuous Data Integration (1885200)
Sajid Hussain1, Bin Pan1 and Aqil Tariq2, (1)Wuhan University, School of Remote Sensing and Information Engineering, Wuhan, China, (2)Mississippi State University, Department of Wildlife, Fisheries and Aquaculture, Mississippi State, MS, United States
Assessing the Stability of Active Slow-moving Landslides through Integrated Geotechnical Modeling and InSAR Remote Sensing (1885916)
Xiang Li, Michigan Technological University, Houghton, MI, United States, Alexander L Handwerger, UCLA, JIFRESSE; Jet Propulsion Lab, Los Angeles, United States, Rob M Skarbek, Planetary Science Institute, Tucson, United States and Giuseppe Buscarnera, Northwestern University, Civil and Environmental Engineering, Evanston, IL, United States
Evaluation of a Downscaled Climate Model for Landslide Early Warning in Data-Poor Regions of Southeast Alaska (1888449)
Ries Plescher1, Josh J Roering1, Deanna Nash2 and Eliza Lawrence3, (1)University of Oregon, Department of Earth Sciences, Eugene, United States, (2)Scripps Institution of Oceanography, Univ. of California San Diego, Center for Western Weather and Water Extremes (CW3E), La Jolla, United States, (3)University of Oregon, Eugene, United States
Modelling landslide runout using Physics-Informed Neural Networks (1890613)
Ye Chen1,2, Lorenzo Nava3,4, Fawu Wang Prof1 and Maximillian Van Wyk De Vries2,3, (1)Tongji University, Department of Geotechnical Engineering, Shanghai, China, (2)Cambridge Complex and Multi-hazard Research Group, University of Cambridge, Cambridge, United Kingdom, (3)University of Cambridge, Department of Earth Sciences and Geography, Cambridge, United Kingdom, (4)University of Cambridge, Cambridge Complex and Multihazard Research Group, Cambridge, United Kingdom
Landslide Susceptibility Mapping Using Frequency Ratio in Chure Rural Municipality and Godawari Municipality in Kailali, Far Western of Nepal (1891852)
Tara Ale, Environment and Engineering Research Center Pvt.Ltd, Environment and GIS, Kathmandu, Nepal, Ajaya Shrestha, Environment and Engineering Research Center Pvt. Ltd, Managing Director, Climate Change and Disaster, Kathmandu, Nepal and Bijaya Rai, Environment and Engineering Research Center Pvt Ltd, Environment Assessments, Kathmandu, Nepal
Advancing Landslide-Generated Tsunami Modeling with a Three-Dimensional Rigid-Fluid Method: Toward Coupled Slide–Slump Simulations (1893551)
Mr. Yi-Xuan Huang, PhD1, Tso-Ren Wu2, Shun-Kai Hu2, Chia-Ren Chu3, Chung-Yue Wang3, Chao Zhou3 and Shun-Kai Hu : National Central University, Graduate Institute of Hydrological and Oceanic Sciences, (1)National Central University, Graduate Institute of Hydrological and Oceanic Sciences, Kanagawa, Japan, (2)National Central University, Graduate Institute of Hydrological and Oceanic Sciences, Taoyuan City, Taiwan, (3)National Central University, Department of Civil Engineering, Taoyuan City, Taiwan
Groundwater Fluctuations Drive Accelerated Failure of Rock Slopes (1912788)
Chang Xia, The Hong Kong Polytechnic University, Department of Civil and Environmental Engineering, Hong Kong, China, Kurt M Cuffey, University of California Berkeley, Department of Geography, Berkeley, United States and Qi Zhao, The Hong Kong Polytechnic University, Department of Civil and Environmental Engineering, Kowloon, Hong Kong
Landslide Susceptibility Mapping in Aizawl Municipal Corporation Area, Aizawl, Mizoram, India:A Comparative Study Using Machine Learning Models (1919696)
Saizuala Sailo1, Zosangliana Ralte1,2 and Lalruatpuia Tlau1,2, (1)Pachhunga University College, Department of Geophysics, Aizawl, India, (2)Mizoram University, Department of Geology, Aizawl, India
Locating Landslide Slip Surfaces Using Kinematic Elements: A Case Study for Slumgullion Landslide (1924545)
Liwei Hu1, Roland Bürgmann2, Yuankun Xu2, Xie Hu3, Davide Donati4, Germana Landi1, Fabiana Zama1 and Lisa Borgatti4, (1)University of Bologna, Department of Mathematics, Bologna, Italy, (2)University of California Berkeley, Earth and Planetary Science, Berkeley, United States, (3)Peking University, College of Urban and Environmental Sciences, Beijing, China, (4)University of Bologna, Department of Civil, Chemical, Environmental and Materials Engineering, Bologna, Italy
Regional Rainfall-Induced Landslide Hazard Assessment with CyberWater 2 (1926408)
Sherif Aly1, Ahmed Sheba2, Yao Liang3, Xu Liang1 and Jeen-Shang Lin1, (1)University of Pittsburgh, Department of Civil and Environmental Engineering, Pittsburgh, United States, (2)University of Pittsburgh, Department of Civil and Environmental Engineering, Pittsburgh, PA, United States, (3)Indiana University, Department of Computer Science, Indianapolis, United States
Multi-Scale Observations and Modeling of a Slow-Moving Landslide Controlled by Frictional Heterogeneity and Pore Fluid Pressure (1927892)
Minghan Yang1, Noah J Finnegan2, Valere Lambert3, Yuriko Iwasaki3 and Emily Brodsky4, (1)University of California Santa Cruz, Santa Cruz, CA, United States, (2)University of California - Santa Cruz, Department of Earth and Planetary Sciences, Santa Cruz, CA, United States, (3)University of California Santa Cruz, Santa Cruz, United States, (4)University of California Santa Cruz, Earth and Planetary Sciences, Santa Cruz, United States
Base-level Lowering Rates Control a Landslide Process Transition in California’s Franciscan Mélange (1929069)
Nessa Fakrai, University of California Santa Cruz, Santa Cruz, CA, United States, Jonathan P Perkins, U.S. Geological Survey, Geology Minerals Energy and Geophysics Science Center, Moffett Field, United States, Noah J Finnegan, University of California - Santa Cruz, Department of Earth and Planetary Sciences, Santa Cruz, CA, United States and Alexander L Handwerger, UCLA, JIFRESSE; Jet Propulsion Lab, Los Angeles, United States
Understanding Geo-Environmental Factors for Landslide Occurrences Using Geographically Explainable AI: A Case Study from the Northeastern United States (1930372)
Qianyi Liu1, Te Pei1, Naresh Devineni2 and Yingli Tian3, (1)Department of Civil Engineering, Stony Brook University, Department of Civil Engineering, New York, United States, (2)Department of Civil Engineering, The City College of the City University of New York, and CUNY-CREST, Department of Civil Engineering, New York, United States, (3)Department of Electrical Engineering, The City College of the City University of New York, and CUNY-CREST, Department of Electrical Engineering, New York, United States
Identifying Landslide Patterns and Precipitation Thresholds Using Machine Learning: A Case Study in Oregon (1936737)
Te Pei, Stony Brook University, Department of Civil Engineering, Stony Brook, United States, Mame Diarra Diokhane, The City College of the City University of New York, Department of Civil Engineering, New York, United States, Naresh Devineni, Department of Civil Engineering, The City College of the City University of New York, and CUNY-CREST, Department of Civil Engineering, New York, United States and Yingli Tian, Department of Electrical Engineering, The City College of the City University of New York, and CUNY-CREST, Department of Electrical Engineering, New York, United States
Unveiling the Underappreciated Consequences of Landslides across the United States with Generative AI (1938874)
Xin Wei1, Vaibhav Balloli2, Lauren Palermo3, Benjamin B Mirus3, Nathan J Wood4, Alice Pennaz5, Aleeza Wilkins5, Elizabeth Bondi-Kelly2 and Prof. Sabine Loos, PhD6, (1)University of Michigan Ann Arbor, Michigan Institute for Data and AI in Society, Ann Arbor, MI, United States, (2)University of Michigan Ann Arbor, Electrical Engineering and Computer Science, Ann Arbor, United States, (3)U.S. Geological Survey, Geologic Hazards Science Center, Golden, United States, (4)U.S. Geological Survey, Western Geographic Science Center, Portland, OR, United States, (5)U.S. Geological Survey, Office of Risk and Resilience, Reston, United States, (6)University of Michigan Ann Arbor, Civil and Environmental Engineering, Ann Arbor, United States
Multi-Source Remote Sensing Analysis of Landslide Lifecycle and Failure Processes: The June 2018 Kakrud Landslide in Northern Iran (1948601)
Jianan Li1, Mahdi Motagh2,3, Haonan Jiang4, Bahman Akbari5,6, Sigrid Roessner1, Mehdi Rezaei6 and Yuankun Xu7, (1)GFZ Helmholtz Center for Geosciences, SECTION 1.4, Potsdam, Germany, (2)GFZ Helmholtz Center for Geosciences, Potsdam, Germany, (3)Leibniz University of Hannover, Institute for Photogrammetry and Geoinformation, Hannover, Germany, (4)GFZ Helmholtz Centre for Geosciences, SECTION 1.4, Potsdam, Germany, (5)Department of Applied Geology, Faculty of Earth Sciences, Kharazmi University, Tehran, Iran, Tehran, Iran, (6)Natural Resources and Watershed Management Organization of Iran, Tehran, Iran, Tehran, Iran, (7)Department of Earth & Planetary Science, UC Berkeley, Berkeley, CA, USA, Berkeley, United States
Machine Learning-Based Landslide Susceptibility Mapping in the Blue Ridge of South-Central Virginia (1959731)
Landon Rollins, Washington and Lee University, Lexington, VA, United States, Raja Das, North Carolina State University, Raleigh, United States and Madhumita Chakraborty, Indian Institute of Technology Kharagpur, Geology and Geophysica, Kharagpur, India
Integrating Multi-Temporal LiDAR and AHP for Landslide Detection and Susceptibility Mapping in Prince George’s County, Maryland (1964124)
Micheal Okegbola1, Oludare Owolabi1, Yi Liu2, Zhuping Sheng3 and Department of Civil and Environmental Engineering, Morgan State University, (1)Morgan State University, Civil and Environmental Engineering, Baltimore, United States, (2)Morgan State University, Civil and Environmental Engineering, Baltimore, MD, United States, (3)Morgan State University, Civil and Environmental Department, Baltimore, United States
High-Frequency, Repeating Seismic Signals in a Creeping Landslide and What They Tell us About Friction (1964596)
Shaodong Li, University of California Santa Cruz, Santa Cruz, CA, United States, Noah J Finnegan, University of California - Santa Cruz, Department of Earth and Planetary Sciences, Santa Cruz, CA, United States and Susan Y Schwartz, University of California Santa Cruz, Santa Cruz, United States
Accounting for spatial dependence and heterogeneity in landslide susceptibility assessment (1978611)
Edier Aristizábal, Medellin, Antioquia, COLOMBIA, Luigi Lombardo, University of Twente, ITC, Enschede, Netherlands and Oliver Korup, University of Potsdam, Potsdam, Germany
Postfire Erosion Dynamics Revealed by Multiple High-Resolution LiDAR Surveys after 2025 Palisade Fire (1979916)
Benjamin Tan, Organization Not Listed, Washington, DC, United States, Tyler Horvath, Laboratory for Atmospheric and Space Physics, Aurora, United States, Alexander Koutsoukos, University of California, Los Angeles, Earth, Planetary, and Space Sciences, Los Angeles, United States, Seulgi Moon, University of California Los Angeles, Department of Earth, Planetary, and Space Sciences, Los Angeles, CA, United States, Louis Bouchard, University of California Los Angeles, Los Angeles, United States and David A Paige, University of California, Los Angeles, Department of Earth, Planetary, and Space Sciences, Los Angeles, United States
Modeling Rainfall-induced Landslide Hazard in Failure-prone Slopes in Midhill Region of Nepal Himalaya (1983175)
Hari P Kandel1, Harihar Khanal2, Bidur Devkota2, Keshav Bhattarai3 and Amine Nelubow4, (1)Lake Superior State University, Geology/Natural Resources, Sault Sainte Marie, United States, (2)Embry-Riddle Aeronautical University, Mathematics, Daytona Beach, United States, (3)University of Central Missouri, Physical Sciences, Warrensburg, United States, (4)University of Technology at Belfort and Montbéliard, Belfort Cedex, France
Towards a disturbance variable for post seismic landslides (1984173)
Mr. Aadityan Sridharan, PhD, Center for Wireless Networks and Applications (AWNA), Amrita Vishwa Vidyapeetham, Amritapuri, India, Kollam, India, Gayathri G Reshma, Department of Mathematics, Amrita Vishwa Vidyapeetham, Amritapuri, India, Kollam, India, Lekshmi B, Department of Physics, Amrita Vishwa Vidyapeetham, Amritapuri, India, Kollam, India, Georg Gutjahr, CREATE, Amrita Vishwa Vidyapeetham, Amritapuri, India, Kollam, India and Mr. Thomas Stanley, University of Maryland Baltimore County, GESTAR-II, Baltimore, United States
Spatiotemporal Landslide Hazard Analysis in Seoul using GIS and Machine Learning under Climate Change Scenarios (1985106)
Chaeyun Kim1, Minchul Jang2, Youngbin Ahn3, Kiwon Kim3, MyeongJu Kang3 and Baehyun Min3, (1)Ewha Womans University, Department of Climate and Energy Systems Engineering, Seoul, Korea, Republic of (South), (2)Ewha Womans University, Center for Climate/Environment Change Prediction Research, Seoul, South Korea, (3)Ewha Womans University, Department of Climate and Energy Systems Engineering, Seoul, South Korea
Investigating Hydro-Mechanical Drivers of an Expansive-Clay Highway Slope via SHAP-Enabled Machine Learning (1988121)
Shams E Shifat1, A Q M Zohuruzzaman2, Yifei Li1, Sadik Khan1 and Suprobha Darothy1, (1)Jackson State University, Civil and Environmental Engineering, Jackson, United States, (2)Jackson State University, Civil and Environmental Engineering, Jackson, MS, United States
IoT-AI System for Real-Time Landslide Monitoring and Risk Assessment in Slopes and Levees (1990674)
A Q M Zohuruzzaman, Jackson State University, Civil and Environmental Engineering, Jackson, MS, United States, Mahdi Zulfikar, Jackson State University, Department of Computer Science, Jackson, United States, Abdulraheem Alzghoul, Jackson State University, Civil and Environmental Engineering, Jackson, United States and Sadik Khan, Jackson State University, Department of Civil and Environmental Engineering, Jackson, United States
Quantifying Vetiver Grass Evapotranspiration Performance for Sustainable Slope Management in Expansive Soils (1998361)
Richa Pokhrel1, Rahul Biswas1, Md Asef Israk1, Rakesh Salunke2 and Sadik Khan1, (1)Jackson State University, Civil and Environmental Engineering, Jackson, United States, (2)Jackson State University, Civil and Environmental Engineering, Jackson, MS, United States
Evaluating UAV-LiDAR and Photogrammetry Techniques for Accurate Multi-Temporal Slope Deformation Monitoring (2000438)
Suprobha Darothy1, A Q M Zohuruzzaman1, Shams E Shifat1 and Sadik Khan2, (1)Jackson State University, Civil and Environmental Engineering, Jackson, United States, (2)Jackson State University, Department of Civil and Environmental Engineering, Jackson, United States
