NH21C:
Landslide Remote Sensing, InSAR-Based Monitoring, Modeling, and Early Warning Posters


Submit an Abstract to this Session


Session ID#: 53977

Session Description:
The consequences of landslides are severe across the world, impacting human life, infrastructure, and natural environment. This session will cover a broad range of landslide science, exploring the multi-faceted topic of landslide monitoring using InSAR method and time series analysis technique, landslide modeling and hazard assessment through physical, statistical, and empirical approaches, and landslide early-warning addressing triggering and controlling parameters including hydrologic, geotechnical, and seismic factors. These topics will be explored through the use of current or future remote sensing missions, field-based, and in-situ investigations.
Primary Convener:  Dalia Kirschbaum, NASA Goddard Space Flight Center, Earth Sciences Division, Greenbelt, MD, United States
Conveners:  Thomas Oommen, University of Mississippi, Geology and Geological Engineering, Oxford, United States, Zhong Lu, Southern Methodist University, Roy M Huffington Department of Earth Sciences, Dallas, United States and Ning Lu, Colorado School Mines, Golden, United States
Primary Liaison:  Thomas Oommen, University of Mississippi, Geology and Geological Engineering, Oxford, United States
Chairs:  Zhong Lu, Southern Methodist University, Roy M Huffington Department of Earth Sciences, Dallas, United States, Thomas Oommen, University of Mississippi, Geology and Geological Engineering, Oxford, United States and Ning Lu, Colorado School Mines, Golden, United States
OSPA Liaison:  Dalia Kirschbaum, NASA Goddard Space Flight Center, Earth Sciences Division, Greenbelt, MD, United States

Cross-Listed:
  • H - Hydrology
  • IN - Earth and Space Science Informatics
Index Terms:

0540 Image processing [COMPUTATIONAL GEOPHYSICS]
4315 Monitoring, forecasting, prediction [NATURAL HAZARDS]
4333 Disaster risk analysis and assessment [NATURAL HAZARDS]
4339 Disaster mitigation [NATURAL HAZARDS]

Abstracts Submitted to this Session:

Statistical and Geospatial Analysis of InSAR data for Characterization of Processes Controlling Motion of the Slow-moving Berkeley Landslides (356357)
Erin Girven, University at Buffalo, Buffalo, NY, United States and Estelle Chaussard, FM, Research Division, Norwood, United States
Characterization of slow-moving, deep-seated landslides using geodetic InSAR observations (347072)
Xie Hu, University of Houston, Department of Civil and Environmental Engineering, Houston, TX, United States; Peking University, College of Urban and Environmental Sciences, Beijing, China, Roland Burgmann, University of California Berkeley, Department of Earth and Planetary Science, Berkeley, United States, Zhong Lu, Southern Methodist University, Roy M. Huffington Department of Earth Sciences, Dallas, TX, United States, Alexander L Handwerger, NASA Jet Propulsion Laboratory, Pasadena, United States, Teng Wang, Earth Observatory of Singapore, Nanyang Technological University, Singapore, Singapore and Runze Miao, University of California Berkeley, Berkeley, CA, United States
Landform variation during the Typhoon Morakot deduced from the amplitude of ALOS (389261)
Yu-Ting Kuo, Institute of Earth Sciences, Academia Sinica, Taipei, Taiwan, Chih-Heng Lu, Graduate Institute of Applied Geology, National Central University, Graduate Institute of Applied Geology, Taoyuan, Taiwan, Wei-An Chao, Department of Civil Engineering, National Chiao Tung University, Department of Civil Engineering, Hsinchu, Taiwan, Jui-Ming Chang, Department of Geoscience, National Taiwan University, Department of Geosciences, Taipei, Taiwan and Chi-Hsuan Chen, Geological Survey and Mining Management Agency, MOEA, Taipei, Taiwan
Analysis of the 25th February 2018 Mw7.5 Papua New Guinea Southern Highland Fold-and-Thrust Belt Earthquake using ALOS2 and GNSS Observations (431564)
Negin Fouladi Moghaddam1, Yu Morishita2, Matthew C Garthwaite3, Richard F. Stanaway4 and Simon McClusky1, (1)Australian National University, Canberra, ACT, Australia, (2)Geography and Crustal Dynamics Research Center, Geospatial Information Authority of Japan, Tsukuba, Japan, (3)Geoscience Australia, Canberra, ACT, Australia, (4)QuickClose, Sydney, NSW, Australia
Classification of Landslide Activity on a Regional Scale using Advanced DInSAR Techniques in an OBIA Framework (367541)
Andre Cahyadi Kalia, BGR Federal Institute for Geosciences and Natural Resources, Hannover, Germany
Multitemporal Loess Landslide Inventory Mapping with C-,X- and L-band SAR Datasets- A Case Study of Heifangtai Loess Landslide in China (407165)
Xiaojie Liu1, Chaoying Zhao1, Qin Zhang1 and Zhong Lu2, (1)Chang'an University, Xi'an, China, (2)Southern Methodist University, Roy M Huffington Department of Earth Sciences, Dallas, United States
Detection of landslide surface deformation using PALSAR and PALSAR-2 InSAR in Jure landslide, Sunkoshi River watershed, Nepal (434557)
Hiroshi P Sato, Nihon University, College of Humanities and Sciences, Tokyo, Japan and Hiroshi Yagi, Yamagata Univ, Yamagata, Japan
Detection and Monitoring of Very Slow Landslides in Vicinity of an Artificial Reservoir using Advanced Differential SAR Interferometry: A Case Study of Tehri Region, India (446694)
Vishal Mishra, Indian Institute of Technology Roorkee, Department of Civil Engineering,, Roorkee, India; Indian Institute of Technology Roorkee, Roorkee, India and Kamal Jain, Indian Institute of Technology Roorkee, Department of Civil Engineering, Roorkee, India
Ground Water Monitoring utilizing time series SAR interferometric PsInSAR Technique combining ascending and descending pass datasets (465306)
Shubham Awasthi, PhD Research Scholar, Department of Civil Engineering, Indian Institute of Technology Roorkee, Indian Institute of Technology Roorkee,, India, Vishal Mishra, Indian Institute of Technology Roorkee, Department of Civil Engineering,, Roorkee, India and Kamal Jain, Indian Institute of Technology Roorkee, Department of Civil Engineering, Roorkee, India; Indian Institute of Technology Roorkee, Civil Engineering, Haridwar, India
Comparing GAMMA portable radar interferometer with satellite DInSAR from Sentinel 1A at Slumgullion landslide, Colorado, USA. (398183)
Joseph Allan Brown, Community College of Denver, Mathematics, Denver, CO, United States, Mylene Fabienne Jacquemart, University of Colorado, Boulder, Cooperative Institute for Research in Environmental Sciences and Department of Geological Sciences, Boulder, United States; Cooperative Institute for Research in Environmental Sciences, Department of Geological Sciences, Boulder, United States, Kristy French Tiampo, University of Colorado Boulder, Cooperative Institute for Research in Environmental Sciences and Dept. of Geological Sciences, Boulder, United States; Cooperative Institute for Research in Environmental Sciences, Boulder, United States and Magali Barba-Sevilla, University of Colorado at Boulder, Cooperative Institute for Research in Environmental Sciences and Dept. of Geological Sciences, Boulder, CO, United States; Cooperative Institute for Research in Environmental Sciences, Department of Geological Sciences, Boulder, CO, United States
Heifangtai Loess Landslide Failure Modes Analysis With Ascending And Descending Spot-mode TerraSAR-X Datasets (394461)
Chaoying Zhao1, Xiaojie Liu1, Qin Zhang1 and Zhong Lu2, (1)Chang'an University, Xi'an, China, (2)Southern Methodist University, Roy M Huffington Department of Earth Sciences, Dallas, United States
MAOXIAN LANDSLIDE PRE-SLIDE DEFORMATION ACCURATELY RETRIEVED BY INSAR TECHNOLOGY (403722)
Ya Kang1, Chaoying Zhao1,2, Qin Zhang1,2 and Zhong Lu3, (1)Chang'an University, Xi'an, China, (2)State Key Laboratory of Geo-Information Engineering, Xi'an, China, (3)Southern Methodist University, Roy M Huffington Department of Earth Sciences, Dallas, United States
Change Detection Based on Object-based Features from Multi-temporal, Multi-source Orthoimages and Digital Surface Models (389028)
Yu-Ching Lin, Chen Weide and Ming-Da Tsai, Chung Cheng Institute of Technology, Taoyuan, Taiwan
Landslide mapping along the Karnali highway, Nepal using high resolution imagery (355977)
Pukar Man Amatya, University of Maryland Baltimore County, GESTAR-II, Baltimore, MD, United States; NASA Goddard Space Flight Center, Hydrological Sciences Laboratory, Greenbelt, United States, Dalia Kirschbaum, NASA Goddard Space Flight Center, Earth Sciences Division, Greenbelt, MD, United States and Thomas Stanley, Universities Space Research Association Greenbelt, Greenbelt, MD, United States
Landslide Susceptibility Mapping in the Youfang area (China) using Dagging- Random Forest model (357329)
Haoyuan Hong, Nanjing Normal University, Jiangsu Center for Collaborative Innovation in Geographic Information Resource Development and Application, Nanjing, China
Developing Hydro-Meteorological Thresholds for Shallow Landslide Initiation and Early Warning (370789)
Michael David Morphew, Colorado School of Mines, Golden, CO, United States, Benjamin B Mirus, USGS Geologic Hazards Science Center, Golden, United States and Joel Smith, U.S. Geological Survey, Denver, CO, United States
SLOPE INSTABILITY SUSCEPTIBILITY ANALYSYS AT REGION OF VOLCAN DE FUEGO DE COLIMA , MEXICO (400520)
Juan J Ramirez-Ruiz, University of Colima, Colima, Mexico and Mauricio Breton Gonzalez
Landslide Susceptibility Analysis of Riverbank by Using Logistic Regression method (405299)
Yiwen Huang and Hsun-Chuan Chan, National Chung Hsing University, Taichung, Taiwan
Analysis and Prediction of Geological Disasters Caused by Typhoon Rainstorm (426998)
Xiaomeng Li, Sun Yat-Sen University, School of Atmospheric Sciences, Zhuhai, China, Linna Zhao, CAMS Chinese Academy of Meteorological Sciences, State Key Laboratory of Severe Weather, Beijing, China, Huan Wu, Sun Yat-Sen University, School of Atmospheric Sciences, Guangzhou, China and Yueli Chen, Chinese Academy of Meteorological Sciences, Beijing, China

See more of: Natural Hazards