NH41B:
Landslide Vulnerability, Risk, and Cost Assessment I Posters

Session ID#: 4993

Thursday, 18 December 2014: 8:00 AM-12:20 PM
Poster Hall (Moscone_South)
Chairs:  Dalia Kirschbaum, NASA Goddard Space Flight Center, Greenbelt, MD, United States and Paola Salvati, CNR National Research Council, Rome, Italy
Primary Convener:  Dalia Bach Kirschbaum, NASA Goddard Space Flight Center, Greenbelt, MD, United States
Co-conveners:  Paola Reichenbach, CNR-IRPI, Perugia, Italy and Paola Salvati, National Research Council - Research Institute for Geo-Hydrological Protection (CNR-IRPI), Italy, Perugia, Italy
OSPA Liaison:  Dalia Kirschbaum, NASA Goddard Space Flight Center, Greenbelt, MD, United States
Co-Sponsor(s):
  • EP - Earth and Planetary Surface Processes
  • SI - Societal Impacts and Policy Sciences
Index Terms:

4328 Risk [NATURAL HAZARDS]
4330 Vulnerability [NATURAL HAZARDS]
4333 Disaster risk analysis and assessment [NATURAL HAZARDS]
4336 Economic impacts of disasters [NATURAL HAZARDS]
Virtual Option?: No

Abstracts Submitted to this Session:

 
Automated Techniques to Extract Shallow Landslide Data from LIDAR (13468)
Adam McClure1, Jonathan D Stock2 and Jeanne M Jones1, (1)USGS, Western Geographic Science Center, Menlo Park, CA, United States, (2)USGS, Geology, Minerals, Energy, and Geophysics Science Center, Moffett Field, United States
 
Evaluation of Landslide Mapping Techniques and LiDAR-based Conditioning Factors (21620)
Rubini Mahalingam, PhD graduate, Coimbatore, India and Michael J Olsen, Oregon State University, School of Civil and Construction Engineering, Corvallis, OR, United States
 
Automated Means of Identifying Landslide Deposits using LiDAR Data using the Contour Connection Method Algorithm (30776)
Ben Adam Leshchinsky, Oregon State University, Department of Forest Engineering, Resources and Management, Corvallis, United States, Michael J Olsen, Oregon State University, School of Civil and Construction Engineering, Corvallis, OR, United States and Burak F Tanyu, George Mason University Foundation Inc., Fairfax, VA, United States
 
Landslide Investigation by Repeat Airborne LiDAR and Ground Monitoring in the Western Suburb of Sapporo, Japan (21696)
Mio Kasai1, Tomomi Marutani1 and Hirotoshi Yoshida2, (1)Hokkaido University, Sapporo, Japan, (2)Hokkaido Regional Development Bureau, Ministry of Land, Infrastructure, Transport and Tourism, Sapporo, Japan
 
The types of the landslide by the heavy rain presumed from geographical and geological features in Japan (14561)
Shoji Doshida, National Research Institute of Fire and Disaster, Tokyo, Japan
 
Shallow Landslide Assessment using SINMAP in Laguna, Philippines (15371)
Audrei Anne Bonus Ybañez1, Maricar Labalan Rabonza2, Maneka Kristia Buna Alemania2, Ian Kaye Alejandrino2, Richard Lim Ybañez1 and Alfredo mahar Amante Lagmay2, (1)University of the Philippines Resilience Institute, Quezon City, Philippines, (2)National Institute of Geological Sciences, University of the Philippines, Quezon City, Philippines
 
Assessment of Debris Flow Hazards, North Mountain, Phoenix, AZ (28005)
Thad A Wasklewicz and Kathryn J Reavis, East Carolina University, Greenville, NC, United States
 
Assessing landslide susceptibility, hazards and sediment yield in the Río El Estado watershed, Pico de Orizaba volcano, Mexico (2435)
Gabriel Legorreta Paulin1, Marcus I Bursik2, José Lugo Hubp1 and José Fernando Aceves Quesada1, (1)UNAM National Autonomous University of Mexico, Mexico City, Mexico, (2)University at Buffalo, Department of Earth Sciences, Buffalo, NY, United States
 
Analysis of Landslide Hazard Impact Using the Landslide Database for Germany (5744)
Martin Klose1,2 and Bodo Damm2, (1)Organization Not Listed, Washington, DC, United States, (2)University of Vechta, ISPA - Applied Physical Geography, Vechta, Germany
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