THPA.PA.63

INVESTIGATING EARTHQUAKE RUPTURING HISTORY FROM FAULT SCARP MORPHOLOGY AT THE WULASHAN PIEDMONT FAULT (NORTHERN CHINA)

Haiyun Bi, Institute of Geology, China Earthquake Administration, China; Lin Shi, Wenjun Zheng, Sun Yat-Sen University, China; Jiangyuan Zeng, Aerospace Information Research Institute, Chinese Academy of Sciences, China
Session:
THPA.PA: Remote Sensing Methods and Applications in Topography and Geology II Poster
Track:
Land Applications
Location:
Poster Area 4: Trianti Balcony
Presentation Time:
Thu, 11 Jul, 10:40 - 11:40
Session Chair:
Phillip Brodrick, Jet Propulsion Laboratory, California Institute of Technology
Presentation
Discussion
Resources
No resources available.
Session THPA.PA
THPA.PA.63: INVESTIGATING EARTHQUAKE RUPTURING HISTORY FROM FAULT SCARP MORPHOLOGY AT THE WULASHAN PIEDMONT FAULT (NORTHERN CHINA)
Haiyun Bi, Institute of Geology, China Earthquake Administration, China; Lin Shi, Wenjun Zheng, Sun Yat-Sen University, China; Jiangyuan Zeng, Aerospace Information Research Institute, Chinese Academy of Sciences, China
THPA.PA.64: PREDICTIVE APPROACHES FOR GROUND SUBSIDENCE HAZARD USING MACHINE LEARNING
Sungyeol Lee, Jaemo Kang, Jinyoung Kim, Myeongsik Kong, Korea Institute of Civil Engineering and Building Technology, Korea (South)
THPA.PA.65: URBAN GROUND SUBSIDENCE VULNERABILITY ASSESSMENT THROUGH SPATIAL REGRESSION ANALYSIS
Jaemo Kang, Jinyoung Kim, Myeongsik Kong, Sungyeol Lee, Korea Institute of Civil Engineering and Building Technology, Korea (South)
THPA.PA.66: EXPLORING THE RELATIONSHIP BETWEEN LAND SUBSIDENCE AND PRECIPITATION IN THE LEBNA WATERSHED IN TUNISIA USING SBAS-INSAR ANALYSIS
Riadh Abdelfattah, University of Carthage, Tunisia
THPA.PA.67: ITERATIVE WATERSHED PARTITION: AN EFFICIENT METHOD FOR HIERARCHICAL RIVER-BASIN EXTRACTION ON DIGITAL ELEVATION MODELS
Sampriti Soor, Kalinga Institute of Industrial Technology, Bhubaneswar, India; B.S. Daya Sagar, Indian Statistical Institute, Bangalore, India
THPA.PA.68: Fast and accurate sub-pixel displacement estimation from optical satellite images using a new hyper-realistic earthquake database and U-Net architecture
Tristan Montagnon, James Hollingsworth, Erwan Pathier, Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, IRD, Univ. Gustave Eiffel, ISTerre, 38000 Grenoble, France, France; Mathilde Marchandon, Department of Earth and Environmental Sciences, Ludwig-Maximillians-Universität München, Germany, Germany; Mauro Dalla Mura, Univ. Grenoble Alpes, CNRS, Grenoble INP (Institute of Engineering Univ. Grenoble Alpes), GIPSA-lab, 38000 Grenoble, France, France; Sophie Giffard-Roisin, Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, IRD, Univ. Gustave Eiffel, ISTerre, 38000 Grenoble, France, France
THPA.PA.69: KNICKPOINT DISTRIBUTION WITHIN FLUVIAL NETWORKS OF INDIAN HIMALAYAN REGION
Shah Masud Ul Islam, Sahil Kaushal, Yunus Ali P., Indian Institute of Science Education & Research (IISER), India
Resources
No resources available.