NH023
The Landslide Life Cycle: From Hazard Analysis to Risk Assessments

Session ID#: 156855

Session Description:
Landslides are global events with adverse consequences for human health and safety, infrastructure, economic activity, and natural and cultural resources. Landslide hazards can accompany other phenomena such as hurricanes, earthquakes, volcanic eruptions, wildfires, and climate change, and can also cause their own cascading consequences such as tsunami or river dams. Landslide mapping and modeling have accelerated with the emergence of new measurement technologies and improved data analysis approaches, paving the way for improved characterization of landslide processes and their societal impacts. Characterizing the controls on landslide occurrence and recurrence rates, and reducing landslide losses, require collaboration and coordination between response, science, technology, and outreach efforts. This session seeks to bring together contributions that span the landslide life cycle, from defining landslide hazards to equitably producing, communicating, and applying landslide data and science. We welcome a wide range of contributions on topics including, but not limited to: characterizing, mapping, and modeling recent or historical landslide events; studies of individual hillslopes or regional-scale efforts; understanding seismic, hydroclimatic, or other triggering mechanisms; and ground-based and remote monitoring. Additionally, we would like to highlight novel approaches to inform and improve landslide inventories, susceptibility modeling, early warning systems, and risk assessments.
Index Terms:

4302 Geological [NATURAL HAZARDS]
4315 Monitoring, forecasting, prediction [NATURAL HAZARDS]
4316 Physical modeling [NATURAL HAZARDS]
4333 Disaster risk analysis and assessment [NATURAL HAZARDS]


Primary Convener:  Lauren N Schaefer, USGS Geologic Hazards Science Center, Golden, CO, United States
Conveners:  Ben Adam Leshchinsky, Oregon State University, Forest Engineering, Resources & Management, Corvallis, OR, United States, Nicolas Mathews, USGS Geologic Hazards Science Center, Golden, CO, United States and Yuankun Xu, University of California Berkeley, Department of Earth and Planetary Science, Berkeley, CA, United States
Student/Early Career Convener:  Nicolas Mathews, USGS Geologic Hazards Science Center, Golden, CO, United States
 
Analysis of factors influencing the construction of a check dam to reduce damage caused by debris flow (1041632)
Seungjun Lee, Chungnam National University, Daejeon, Korea, Republic of (South), Hyunuk An, Chungnam National University, Daejeon, South Korea and Minseok Kim, Korea Institute of Geoscience and Mineral Resources, Daejeon, South Korea
 
Landslide susceptibility mapping using Multilayer Perceptron model with different meta classifier (1041803)
Haoyuan Hong, University of Vienna, Department of Geography and Regional Research, Vienna, Austria
 
Monitoring of landslide displacements in Owakudani, Hakone volcano, Japan using SAR interferometry (1043208)
Ryosuke Doke1, Satoru Sanoki2, Shoji Iwanaga2, Masaru Sato2, Kenichi Hosono2 and Eiji Tominaga2, (1)Hot Springs Research Institute of Kanagawa Prefecture, Shizuoka, Japan, (2)Geoscience Research Laboratory, Yamato, Japan
 
Use of H2O(+) for Classification of Weathering Grades and Residual Soils of Hard Rocks. A Study from Sri Lanka for Landslide Mapping (1044916)
Upali De Silva Jayawardena, University of Peradeniya, Peradeniya, Sri Lanka
 
Are We Getting Closer to Predicting Landslides in Hurricane Prone Regions in Real-Time? (1054851)
Yuri Gorokhovich, CUNY Lehman College, Bronx, NY, United States
 
Evaluating the Regional-Scale Influence of Antecedent Soil Moisture on Seismically Induced Landsliding Using a Deterministic Landslide Initiation Framework (1060577)
Nicolas W Mathews1, Ben Adam Leshchinsky2, Benjamin B Mirus1, Michael J Olsen3 and Adam Michael Booth4, (1)USGS Geologic Hazards Science Center, Golden, United States, (2)Oregon State University, Forest Engineering, Resources & Management, Corvallis, OR, United States, (3)Oregon State University, School of Civil and Construction Engineering, Corvallis, OR, United States, (4)Portland State University, Department of Geology, Portland, OR, United States
 
An Empirical Magnitude Scale for Landslide-Inducing Storms (1064442)
Jonathan P Perkins, USGS, Geology Minerals Energy and Geophysics Science Center, Menlo Park, United States, Nina Oakley, Desert Research Institute, Reno, NV, United States, Brian D Collins, USGS Landslide Hazards Program, Moffett Field, CA, United States, W Paul Burgess, California Geological Survey, Los Angeles, United States and Skye Corbett, USGS, Menlo Park, CA, United States
 
The Urgent Need to Protect the World’s Poor from Landslides (1065512)
Ugur Öztürk1, Elisa Bozzolan2, Elizabeth Holcombe3, Roopam Shukla4, Francesca Pianosi5, Thorsten Wagener5 and Elisa Bozzolan, (1)Universität Potsdam, Potsdam, Brandenburg, GERMANY, (2)Università degli Studi di Padova, Department of Geosciences, Padova, Italy, (3)University of Bristol, Bristol, United Kingdom, (4)Potsdam Institute for Climate Impacts Research, Potsdam, Germany, (5)University of Bristol, Civil Engineering, Bristol, United Kingdom
 
Hydrologic monitoring to support landslide forecasting in Sitka, Alaska (Invited) (1069504)
Annette Irene Patton, Sitka Sound Science Center, Sitka, AK, United States, Benjamin B Mirus, USGS Geologic Hazards Science Center, Golden, United States, Josh J Roering, University of Oregon, Department of Earth Sciences, Eugene, OR, United States and Ron Heintz, NOAA NMFS, Alaska Fisheries Science Center, Juneau, AK, United States
 
Regional Detection of Landslide and Flash Flood Events in the East African Rift (1072418)
Axel Deijns1,2, Aline Deprez3, David Michéa3, Olivier Dewitte1, Francois Kervyn1 and Jean-Philippe Malet4, (1)Royal Museum for Central Africa, Department of Earth Sciences, Tervuren, Belgium, (2)Vrije Universiteit Brussel, Department of Hydrology and Hydraulic Engineering, Earth System Science, Elsene, Belgium, (3)École et Observatoire des Sciences de la Terre, Institut Terre et Environnement de Strasbourg, Centre National de la Recherche Scientifique, University of Strasbourg, Strasbourg, France, (4)University of Strasbourg and CNRS, Institut Terre et Environnement de Strasbourg, Strasbourg, France
 
Linking Landslide Occurrence with Atmospheric Rivers along the Northern Pacific Coast of North America (1073657)
Duncan Anderson1, Mark J Lara2 and Piotr Cienciala1, (1)University of Illinois at Urbana Champaign, Department of Geography and GIS, Urbana, United States, (2)University of Illinois at Urbana Champaign, Departments of Geography and GIS and Plant Biology, Urbana, United States
 
Advancing landslide hazard assessment around the world (1075365)
Thomas Stanley1,2, Dalia Kirschbaum3, Pukar Man Amatya4,5, Nishan Kumar Biswas1,5, Robert Emberson1,5, Elijah Orland1,6 and Rachel Soobitsky2,7, (1)University of Maryland Baltimore County, GESTAR-II, Baltimore, United States, (2)NASA Goddard Space Flight Center, Hydrological Sciences Laboratory, Greenbelt, United States, (3)NASA Goddard Space Flight Center, Earth Sciences Division, Greenbelt, United States, (4)University of Maryland Baltimore County, GESTAR-II, Baltimore, MD, United States, (5)NASA Goddard Space Flight Center, Hydrological Sciences Laboratory, Greenbelt, MD, United States, (6)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (7)Science Systems and Applications, Inc., Greenbelt, MD, United States
 
An efficient and parameter-free algorithm to delineate slope units for landslide susceptibility (1076040)
Jacob Woodard1, Benjamin B Mirus1, Ben Adam Leshchinsky2 and Matthew Crawford3, (1)USGS Geologic Hazards Science Center, Golden, United States, (2)Oregon State University, Forest Engineering, Resources & Management, Corvallis, OR, United States, (3)University of Kentucky, Kentucky Geological Survey, Lexington, KY, United States
 
Landslide Susceptibility Mapping Combining Geomechanical Classification and Reflectance Spectroscopy in Prince William Sound, Alaska (1076165)
Lauren N Schaefer1,2, Sean LaHusen3, Nikita Avdievitch4 and Jeffrey A. Coe4, (1)USGS Geologic Hazards Science Center, Golden, CO, United States, (2)U.S. Geologic Survey, Geologic Hazards Science Center, Golden, United States, (3)U.S. Geological Survey, Geology, Minerals, Energy, and Geophysics Science Center, Moffett Field, United States, (4)U.S. Geological Survey, Geologic Hazards Science Center, Golden, United States
 
Too big to fail without shaking: 3D slope stability modeling reveals coseismic landslides within uplifted marine terraces in Oregon (USA) (1078553)
Sean LaHusen1, Nikita Avdievitch2 and Jeffrey A. Coe2, (1)U.S. Geological Survey, Geology, Minerals, Energy, and Geophysics Science Center, Moffett Field, United States, (2)U.S. Geological Survey, Geologic Hazards Science Center, Golden, United States
 
Mass Movement Modeling with Unmanned Aerial Systems and Object Based Image Analysis Along Railroad Corridors in Idaho (1079362)
Dana Drinkall, Idaho State University, Idaho Falls, ID, United States, Donna Delparte, Idaho State University, Geosciences, Pocatello, ID, United States, Matthew Belt, Idaho State University, Pocatello, United States and Zachery Lifton, Idaho Geological Survey, Boise, United States
 
Analysing the geomorphological and geological characteristics of fatal-landslide events in the Rohingya refugee camps in Cox’s Bazar, Bangladesh (1080540)
Bayes Ahmed, University College London, London, United Kingdom, Dr. A.S.M. Maksud Kamal, University of Dhaka, Department of Disaster Science and Management (DSM), Dhaka, Bangladesh, Farhad Hossain, University of Dhaka, Department of Geology, Dhaka, Bangladesh and Peter R Sammonds, University College London (UCL), Institute for Risk and Disaster Reduction (IRDR), London, United Kingdom
 
The Generation of Landslides After Wildfire: A Case Study of 286 Occurrences After a Rainstorm in January 2019 in the San Gabriel Mountains, Southern California (1084568)
Silvana Castillo Guerra, University of California Santa Barbara, Santa Barbara, United States and Charles Jones, University of California Santa Barbara, Santa Barbara, CA, United States
 
Catastrophic Shallow Landslides on Gentle Slopes in Volcanic Areas of Japan (1085065)
Takashi Koi, Hokkaido University, Center for Natural Hazards Research, Sapporo, Japan, Mitsuhiro Yoshimoto, Mount Fuji Research Institute, Fujiyoshida, Japan, Yasuhiro Shuin, Kyushu University, Department of Agro-environmental Sciences, Fukuoka, Japan and Norifumi Hotta, The University of Tokyo, Graduate School of Agricultural and Life Sciences, Bunkyo, Japan
 
Unravelling the origin of large ancient landslides in low elevation Daunia Mountains, Italy (1085794)
Janusz Wasowski1, Vincenzo Del Gaudio2, Luca Pisano1, Nunzio Luciano Fazio1, Daniela de Lucia1, Angelo Ugenti1, Veronica Zumpano1, Francesco Filice1, Domenico Casarano1, Francesca Santaloia1, Salvatore Gallicchio2 and Piernicola Lollino2, (1)CNR-IRPI National Research Council, Bari, Italy, (2)University of Bari Aldo Moro, Bari, Italy
 
Accuracy Assessment of the Global Landslide Catalog (1089187)
Chelsea Dandridge, University of Virginia, Engineering Systems and Environment, Charlottesville, VA, United States, Thomas Stanley, University of Maryland Baltimore County, GESTAR-II, Baltimore, United States; NASA Goddard Space Flight Center, Hydrological Sciences Laboratory, Greenbelt, United States, Dalia Kirschbaum, NASA Goddard Space Flight Center, Earth Sciences Division, Greenbelt, United States and Venkataraman (Venkat) Lakshmi, University of Virginia, Engineering Systems and Environment, Charlottesville, United States
 
Preliminary Regional Engineering Geological assessment and Rock Mass Strength parameterization for Landslide Hazard: A case study in southwestern Puerto Rico (1090115)
Stratis Karantanellis1, Marin Kristen Clark1, Dimitrios Zekkos2, K. Stephen Hughes3, Weibing Gong4, Mirna Kaseem4 and Parker Blunts5, (1)University of Michigan Ann Arbor, Department of Earth & Environmental Sciences, Ann Arbor, MI, United States, (2)University of California, Berkeley, Department of Civil and Environmental Engineering, Berkeley, CA, United States, (3)University of Puerto Rico Mayaguez, Department of Geology, Mayaguez, PR, United States, (4)University of California, Berkeley, Department of Civil and Environmental Engineering, Berkeley, United States, (5)Univerrsity of California, Berkeley, Department of Civil and Environmental Engineering, Berkeley, United States
 
Opportunities of Remote Sensing in Landslide Research (Invited) (1091864)
Xie Hu1, Roland Burgmann2, Eric Jameson Fielding3, Alessandro Ferretti4, Zhong Lu5 and Yuqi Song1, (1)College of Urban and Environmental Sciences, Peking University, Beijing, China, (2)Department of Earth and Planetary Science, University of California Berkeley, Berkeley, United States, (3)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (4)Tele-Rilevamento Europa, Milan, Italy, (5)Department of Earth Science, Southern Methodist University, Dallas, United States
 
Influence of Rainfall and Reservoir Water Level Variation on Slope Stability and Evolution of Landslide-Tsunami: A Case Study of Bianjiazhai Landslide at Suofengying Reservoir in China. (1093984)
Laxman Kafle, Work Carried out at State Key Laboratory of Hydroscience and Hydraulic Engineering, Department of Hydraulic Engineering,Tsinghua University, Beijing, China; Sanjibani Consulting, Tulsipur, Nepal, Wen-Jie Xu, State Key Laboratory of Hydroscience and Hydraulic Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing, China and Thomas Nagel, Geotechnical Institute, Technische Universität Bergakademie Freiberg, Freiberg, Germany; MOE Key Laboratory of Soft Soils and Geoenvironmental Engineering, Hypergravity Research Center of Zhejiang University (HRC-ZJU), Zhejiang University, Hangzhou, China
 
Estimating landslide dam susceptibility along Oregon Coast Range rivers (1096153)
Paul Monroe Morgan1, Alison R Duvall1, William Struble2, Sean LaHusen3, Alex Grant4 and Joseph Wartman1, (1)University of Washington, Seattle, United States, (2)University of Arizona, Department of Geosciences, Tucson, United States, (3)U.S. Geological Survey, Geology, Minerals, Energy, and Geophysics Science Center, Moffett Field, United States, (4)USGS, ESC, Moffett Field, United States
 
The Impact of Land Cover Change on Landslide Susceptibility in Western Nepal (1097181)
McKenna Price-Patak, NASA-USAID SERVIR Science Coordination Office, Huntsville, United States, Robert Griffin, University of Alabama in Huntsville, Atmospheric and Earth Science, Huntsville, AL, United States and Timothy Mayer, University of Alabama in Huntsville, Huntsville, AL, United States
 
Forecasting landslide inundation from precursory motion: the 2021 Chunchi, Ecuador disaster (1099407)
Yuankun Xu, University of California Berkeley, Department of Earth and Planetary Science, Berkeley, CA, United States and Roland Burgmann, Department of Earth and Planetary Science, University of California Berkeley, Berkeley, United States
 
Analyzing multi-temporal series of optical and microwave satellite data for hydrogeological risk mitigation: the MITIGO Project experience. (1103416)
Valerio Tramutoli1, Carolina Filizzola2, Roberto Colonna1, Nicola Genzano3, Teodosio Lacava4 and Valeria Satriano1, (1)University of Basilicata, Potenza, Italy, (2)CNR Institute of Methodologies for Environmental Analysis, Potenza, Italy, (3)University of Basilicata, School of Engineering, Potenza, Italy, (4)IMAA/CNR, Tito Scalo (Pz), Italy
 
A Cloud-Based Landslide Identification Algorithm for Rainfall-Triggered Landslides (1104399)
Nirdesh Sharma and Manabendra Saharia, Indian Institute of Technology Delhi, Department of Civil Engineering, New Delhi, India
 
An Experimental Study of Clayey Soils on the Slow-to-fast Transition of Landslide Movements and the Rate- and State-dependent Frictional Behavior in It (1105619)
Chengrui Chang1, Hiroyuki Noda2, Gonghui Wang2 and Tetsuo Yamaguchi1, (1)The University of Tokyo, Department of Biomaterial Sciences, Graduate School of Agricultural and Life Sciences, Tokyo, Japan, (2)Kyoto University, Disaster Prevention Research Institute, Kyoto, Japan
 
Analysis of Failure Mode and Deformation Process of Lashagou Landslide Combined with InSAR and Numerical Simulation (1106878)
Qianyou Fan1, Shuangcheng Zhang Sr.1, Yufen Niu2 and Xiaolong Zeng Sr.1, (1)Chang'an University, College of Geologe Engineering and Geomatics, Xi'an, China, (2)Hebei University of Engineering, School of Mining and Geomatics Engineering, Handan, China
 
Rainfall Threshold Analysis Using Antecedent Rainfall for Shallow Translational Landslides (1107969)
Vishnu Chakrapani Lekha, Michigan Technological University, Houghton, MI, United States, Thomas Oommen, Michigan Technological University, Geological and Mining Engineering and Sciences, Houghton, United States, Snehamoy Chatterjee, Michigan Technological University, Geological and Mining Engineering and Sciences, Houghton, MI, United States and Sajinkumar K. S., Michigan Technological University, Department of Geological and Mining Engineering and Sciences, Houghton, United States
 
Remote Sensing Applications for Landslide Detection and Monitoring along Lake Michigan Eastern Coastline, Miami Park, MICHIGAN (1112259)
Guzalay Sataer1, Mohamed Sultan2, Mustafa Kemal Emil2, Monica Palaseanu3, Richard Becker4, John A Yellich5, Esayas Gebremichael6, Karem Abdelmohsen2 and Hadi Karimi2, (1)Western Michigan University, Department of Geological and Environmental Sciences, Kalamazoo, MI, United States, (2)Western Michigan University, Department of Geological and Environmental Sciences, Kalamazoo, United States, (3)USGS, Geology, Minerals, Energy, and Geophysics Science Center, Menlo Park, CA, United States, (4)University of Toledo, Environmental Sciences, Toledo, OH, United States, (5)Michigan Geological Survey, Kalamazoo, MI, United States, (6)Texas Christian University, Geological Sciences, Fort Worth, TX, United States
 
Identifying Opportunities and Needs for Further Landslide Mapping in the United States (1113220)
Sabrina Martinez, Jacob Woodard and Benjamin B Mirus, USGS Geologic Hazards Science Center, Golden, United States
 
Critical Zone Controls on Shallow Landslides: Insights from Numerical Simulations in a Steep, Forested Landscape (1122229)
Justin Higa1, Giuseppe Formetta2, Dino G. Bellugi3, William E Dietrich4,5, Brian A Ebel6, Riccardo Busti2 and Seulgi Moon1, (1)University of California Los Angeles, Department of Earth, Planetary, and Space Sciences, Los Angeles, CA, United States, (2)University of Trento, Department of Civil, Environmental and Mechanical Engineering, Trento, Italy, (3)University of California, Berkeley, Department of Geography, Berkeley, CA, United States, (4)University of California Berkeley, Department of Earth and Planetary Science, Berkeley, United States, (5)University of California, Berkeley, Department of Geography, Berkeley, United States, (6)Water Resources Mission Area, U.S. Geological Survey, Burlington, United States
 
The Tragedy of Morro do Centenário in Petrópolis – RJ, Brazil (February 15, 2022): Landslide complexity analyzed from a multidisciplinary perspective (1122883)
Cassiano Antonio Bortolozo1,2, Marcio Roberto Magalhães de Andrade2, Tatiana Sussel Gonçalves Mendes1, Harideva Marturano Egas3, Marcio Augusto Ernesto de Moraes3, Tristan Pryer4, Carla Correa Prieto3, Daniel Metodiev2, Silvio Jorge Coelho Simões5 and Rodolfo Moreda Mendes6, (1)São Paulo State University (Unesp), Institute of Science and Technology, São José dos Campos, São José dos Campos, Brazil, (2)National Center for Monitoring and Early Warning of Natural Disasters (Cemaden), São José dos Campos, Brazil, (3)National Center for Monitoring and Early Warning of Natural Disasters (Cemaden), Sao Jose dos Campos, Brazil, (4)University of Bath, Bath, United Kingdom, (5)São Paulo State University (Unesp), Institute of Science and Technology, São José dos Campos, Brazil, (6)National Center for Monitoring and Early Warning of Natural Disasters (Cemaden), Sao José dos Campos, Brazil
 
Three-dimensional spatial analysis in an urban hillside area using UAV data in the municipality of Santos, SP (1125658)
Tatiana Sussel Gonçalves Mendes1, Marcio Roberto Magalhães de Andrade2, Felicia França Pereira3, Cassiano Antonio Bortolozo1,2, Mário Luiz Lopes Reiss4, Melina Almeida Silva1, Jéssica Dal Col1, Talita Peixoto de Oliveira Sátiro3, Silvio Jorge Coelho Simões1 and Tristan Pryer5, (1)São Paulo State University (Unesp), Institute of Science and Technology, São José dos Campos, São José dos Campos, Brazil, (2)National Center for Monitoring and Early Warning of Natural Disasters (Cemaden), São José dos Campos, Brazil, (3)Graduate Program in Natural Disasters (Unesp/Cemaden), São José dos Campos, Brazil, (4)Federal University of Rio Grande do Sul (UFRGS), Institute of Geoscience, São José dos Campos, Brazil, (5)University of Bath, Bath, United Kingdom
 
Landslides and Slope Environment of Arctic Sedimentary Rock Area, North Greenland. (1128728)
Shintaro Yamasaki, Disaster Prevention Research Institute, Kyoto University, Kyoto, Japan and Tatsuya Watanabe, Kitami Institute of Technology, Kitami, Japan
 
Introducing Hillslope Connectivity in Landslide Susceptibility Mapping (1133479)
Shikshita Bhandari, Stanford University, Civil and Environmental Engineering, Stanford, CA, United States and Rafael J. P. Schmitt, Stanford University, Stanford, United States
 
Artificial Intelligence and Machine Learning Techniques for Submarine Landslide Detection and Susceptibility Mapping (1135675)
MacKenzie Mark-Moser, Alec Dyer2, Dakota Zaengle3, Rodrigo Duran2, Patrick Wingo3 and Jennifer Bauer2, (1)National Energy Technology Laboratory, Albany, OR, United States, (2)Leidos Research Support Team, Albany, OR, United States
 
Development of an Optimal Physical Vulnerability Curves for Each Structure by Debris Flow based on Numerical Analysis and Regression Model (1138673)
Jisung Lee, ChangHo Song and Yuntae Kim, Pukyong National University, Busan, South Korea
 
100 Giant Alaska Landslides (1140432)
Bretwood M Higman1, Jane Walden2, Noah J Finnegan3, Emilie Lemaire4, Costanza Morino5, Anna K Liljedahl6, Molly McCreary7, Anja Dufresne8, Mylene Jacquemart2, Gabriel J Wolken9, Breanyn T MacInnes10, Ronald P Daanen11, Denny Capps12, Florian Amann13, Susan J Conway14, Pooya Hamidi4, Jeffrey R Moore15, Marten Geertsema16, Chunli Dai17, Michele N Koppes18, Sonia A Nagorski19 and Aaron Benjamin Jacobs20, (1)Ground Truth Trekking, Seldovia, United States, (2)ETH Zurich, Zurich, Switzerland, (3)University of California - Santa Cruz, Department of Earth and Planetary Sciences, Santa Cruz, CA, United States, (4)RWTH Aachen University, Aachen, Germany, (5)University de Nantes, Nantes, France, (6)Woodwell Climate Research Center, Falmouth, United States, (7)University of Utah, Salt Lake City, United States, (8)RWTH-Aachen University, Ingenieurgeologie und Hydrogeologie, Aachen, Germany, (9)Dept. of Natural Resources, Fairbanks, AK, United States, (10)Central Washington University, Ellensburg, WA, United States, (11)DGGS, Fairbanks, AK, United States, (12)Denali National Park, Denali National Park, United States, (13)RWTH Aachen University, Engineering Geology and Hydrogeology, Aachen, Germany, (14)Université de Nantes, Nantes, France, (15)University of Utah, Geology and Geophysics, Salt Lake City, UT, United States, (16)FLNRO, Prince George, BC, Canada, (17)University of Florida, Gainesville, United States, (18)University of British Columbia, Geography, Vancouver, Canada, (19)Organization Not Listed, Washington, DC, United States, (20)NOAA, NWS Juneau Forecast Office, Juneau, AK, United States
 
Landslide detection and delineation using high resolution topography, geomorphometry and machine learning (1140930)
Mihai Niculita, Alexandru Ioan Cuza University of Iasi, Department of Geography, Iasi, Romania
 
Integration of the Trio LSDI (Land surface disturbance index; Landslide spatial Distribution Index; and Land Surface Direction Index) for Analysis of Multi-Landslide Initial Location (case study in Taiwan) (1141271)
Van Trung Chu1,2, Shou Hao Chiang2,3 and Tang-Huang Lin2, (1)Faculty of Resource Management, Thai Nguyen University of Agriculture and Forestry, Thai Nguyen, Vietnam, (2)Center for Space and Remote Sensing Research, National Central University, Taoyuan, Taiwan, (3)Department of Civil Engineering, National Central University, Taoyuan, Taiwan
 
The April 2019 Hoseynabad-e Kalpush Landslide Disaster in Iran: Results from Remote Sensing, GIS and field surveys (1142905)
Magdalena Stefanova Vassileva1, Mahdi Motagh2, Sigrid Roessner1 and Bahman Akbari3, (1)Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany, (2)Helmholtz Center Potsdam, GFZ, Potsdam, Germany, (3)Forest Range and Watershed Management Organization of Iran, Tehran, Iran
 
Characterizing Post-failure Kinematics of 17 June 2020 Aniangzhai Landslide in Danba County, China: Insights from SAR Interferometry, Pixel Offset Tracking, and Corner Reflectors (1146083)
Zhuge Xia1,2, Mahdi Motagh1,2, Tao Li3 and Mimi Peng1,4, (1)Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany, (2)Leibniz University of Hannover, Institute for Photogrammetry and Geoinformation, Hannover, Germany, (3)Wuhan University, GNSS Research Centre, Wuhan, China, (4)Chang'an University, School of Geological Engineering and Geomatics, Xi'an, China
 
A GIS-Based Landslide Hazard Mapping of Alaknanda River Basin in the Indian Himalayan Region Using Remote Sensing and AHP (1146487)
Sachchidanand Singh, Indian Institute of Technology Roorkee, Roorkee, India and Mitthan Lal Kansal, Indian Institute of Technology Roorkee, Water Resources Development & Management, Roorkee, India
 
Interactive Web-Based Approach for Spatial Modeling of Landslide Susceptibility with R-Shiny (1147005)
Peter Gorsevski, Bowling Green State University, Bowling Green, United States
 
Toward the Emergency Assessment of Post Fire Debris Flow Inundation Hazard (1151629)
Ryan P Jones, Katherine R Barnhart, Francis K Rengers and Jason W Kean, U.S. Geological Survey, Geologic Hazards Science Center, Golden, United States
 
Artificial Intelligence Empowers Knowledge Sharing in Landslide Prediction (1158203)
Haojie Wang1, Limin Zhang1,2 and Lin Wang1, (1)The Hong Kong University of Science and Technology, Department of Civil and Environmental Engineering, Kowloon, Hong Kong, (2)HKUST Shenzhen-Hong Kong Collaborative Innovation Research Institute, Shenzhen, China
 
Offshore California Submarine Landslide Inventory and Database for Tsunami Hazard Analysis (1158916)
Jacqueline Bott, California Geological Survey, San Mateo, CA, Jason R Patton, California Geological Survey Sacramento, Sacramento, CA, United States, Ron Rubin, California Geological Survey Menlo Park, Menlo Park, CA, United States, Patrick J Lynett, University of Southern California, Los Angeles, CA, United States, Rick I Wilson, California Geological Survey, Sacramento, CA, United States and Nicholas Adam Graehl, California Geological Survey Sacramento, Sacramento, United States
 
Evaluating the effect of different sampling ratio on landslide susceptibility mapping of Kangra District (1158926)
Ankit Singh, Niraj K.c, Nitesh . and Dericks P Shukla, Indian Institute of Technology Mandi, School of Civil and Environmental Engineering, Mandi, India
 
Developing hydrometeorological landslide thresholds in California using WRF-Hydro hindcast simulations and radar-constrained precipitation data (1160899)
Chuxuan Li1, Alexander L Handwerger2 and Daniel E Horton1, (1)Northwestern University, Earth & Planetary Science, Evanston, United States, (2)JIFRESSE UCLA and Jet Propulsion Lab, Los Angeles, United States
 
Comparison of Rock Mass Characteristics within and away from the Hinge Region of the Garhwal Syncline and its influence on Slope Stability (1163548)
Jaspreet Singh1, Sarada PRASAD Pradhan1 and Mahendra Singh2, (1)Indian Institute of Technology Roorkee, Department of Earth Sciences, Roorkee, India, (2)Indian Institute of Technology Roorkee, Department of Civil Engineering, Roorkee, India
 
Assessment of spatio-temporal variation in landslide susceptibility in the Central Vietnam using machine learning-based approach (1165151)
Raja Das, North Carolina State University, Raleigh, United States, Pham Van Tien, Institute of Geological Sciences, Vietnam Academy of Science and Technology, Hanoi, Vietnam and Karl W Wegmann, North Carolina State Univ., Raleigh, NC, United States
 
Preliminary instrumental system for the detection of landslides and landslide-triggered tsunami waves in Douglas Channel and Gardner Canal, British Columbia, Canada (1168687)
Fatemeh Nemati1, Gwyn Lintern2, Lucinda J Leonard1 and Richard Thomson3, (1)University of Victoria, School of Earth and Ocean Sciences, Victoria, BC, Canada, (2)Geological Survey of Canada, sidney, BC, Canada, (3)Inst Ocean Sciences, Sidney, BC, Canada
 
Soil Moisture and Displacement Data Forecast the Fate of Creeping Landslides via Multilayer Networks (1169651)
Vrinda Desai1, Chuxuan Li2, Daniel E Horton2, Alexander L Handwerger3 and Karen Daniels1, (1)North Carolina State University Raleigh, Raleigh, NC, United States, (2)Northwestern University, Earth & Planetary Science, Evanston, United States, (3)JIFRESSE UCLA and Jet Propulsion Lab, Los Angeles, United States
 
Landslide runout analysis using remote sensing for Lower and Upper Barun lakes (1169898)
Eric Ross Anderson, NASA Marshall Space Flight Center, Huntsville, United States, Dalia Kirschbaum, NASA Goddard Space Flight Center, Earth Sciences Division, Greenbelt, United States, Pukar Man Amatya, University of Maryland Baltimore County, GESTAR-II, Baltimore, MD, United States, Umesh K Haritashya, University of Dayton, Dayton, OH, United States, Daniel H Shugar, University of Victoria, Victoria, Canada, David E Shean, University of Washington, Department of Civil and Environmental Engineering, Seattle, United States and Jeffrey Kargel, Planetary Science Institute Tucson, Tucson, United States
 
Massive Submarine Landslides Imaged Offshore Southern Oregon (1171068)
Charles Babendreier, University of Texas, Institute for Geophysics, Austin, United States, Shuoshuo Han, University of Texas Institute for Geophysics, Austin, United States, Suzanne M Carbotte, Lamont-Doherty Earth Obs, Palisades, NY, United States, Brian Boston, Lamont-Doherty Earth Observatory of Columbia University, Palisades, NY, United States, Harold J Tobin, University of Washington Seattle, Department of Earth and Space Sciences, Seattle, WA, United States, Jeff W Beeson, NOAA, Corvallis, United States, Juan Pablo Canales, Woods Hole Oceanographic Inst, Geology and Geophysics, Woods Hole, MA, United States, Mladen R Nedimovic, Dalhousie University, Department of Earth and Environmental Sciences, Halifax, NS, Canada and MGL2104 Science Party, ION Geophysical Processing Team
 
Avalanche and landslide exposure in Hindu-Kush Karakoram Himalaya (1171875)
Saket Dubey1, Ashim Sattar2, Umesh K Haritashya1, Manish Kumar Goyal3, Simon Allen2, Holger Frey2 and Christian Huggel2, (1)University of Dayton, Dayton, OH, United States, (2)University of Zurich, Zurich, Switzerland, (3)Indian Institute of Technology Indore, Discipline of Civil Engineering, Indore, India
 
A Global Earthquake-Induced Landslide Fatality Catalog for Near-Real-Time Impact Assessment (1179397)
Eric Burton, USGS Geologic Hazards Science Center, Golden, United States and Kishor Jaiswal, Research Civil Engineer, U.S. Geological Survey, Denver, CO, United States
 
Detection of Landslide Movement in the Northern Japanese Alps based on DInSAR analysis and Airborne LiDAR analysis (1187680)
Ayano Aoki1, Chiyuki Narama1, Tsutomu Yamanokuchi2 and Takeo Tadono3, (1)Niigata University, Niigata, Japan, (2)Remote Sensing Technology Center of Japan, Tokyo, Japan, (3)Japan Aerospace Exploration Agency, Earth Observation Research Center, Tsukuba, Japan
 
Road salt interactions with soil and bedrock potentially influence hillslope stability (1189034)
Abiodun Ayo-Bali, University of Pittsburgh, Pittsburgh, PA, United States and Daniel Bain, University of Pittsburgh Pittsburgh Campus, Pittsburgh, United States
 
Investigating atmospheric temperature influences on landslide hazards in Japan (1190072)
Ying-Hsin Wu1, Eiichi Nakakita1 and Akihiko Yamaji2, (1)Disaster Prevention Research Institute, Kyoto University, Kyoto, Japan, (2)Disaster Prevention Research Institute, Kyoto University, Uji, Japan
 
Applying Coupled Physics-Machine Learning for Landslide Susceptibility Mapping (1190653)
Te Pei1, Tong Qiu1 and Chaopeng Shen2, (1)Pennsylvania State University Main Campus, Department of Civil and Environmental Engineering, University Park, PA, United States, (2)Pennsylvania State University Main Campus, Department of Civil and Environmental Engineering, University Park, United States
 
Spatiotemporal Pattern of Landslide Erosion in Taiwan over the Last Two Decades – Implications of Climate Change on Landslide Hazards (1192461)
Wei Luo, Northern Illinois University, Department of Earth, Atmosphere, and Environment, DeKalb, United States, Cheng-Chien Liu, NCKU National Cheng Kung University, Department of Earth Sciences, Tainan, Taiwan and Yi-Chin Chen, National Changhua University of Education, Department of Geography, Changhua, Taiwan
 
Risk assessment for rainfall induced slope failure considering spatial variability of soil (1202060)
Himanshu Rana, Student, Department of civil engineering, Bangalore, India and G L Sivakumar Babu, Indian institute of science, Bangalore, India
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