Yushu earthquake Co-seismic deformation field extraction based on ALOS/PALSAR data

2011 ◽  
Author(s):  
Shiyong Yan ◽  
Huadong Guo ◽  
Guang Liu ◽  
Zhixing Ruan
Keyword(s):  
Deformation Field ◽  
Alos Palsar ◽  
Yushu Earthquake ◽  
Seismic Deformation

Inter-seismic deformation field of the Ganzi-Yushu fault before the 2010 Mw 6.9 Yushu earthquake

2013 ◽  
Vol 584 ◽  
pp. 138-143 ◽  
Author(s):  
Yanzhao Wang ◽  
Min Wang ◽  
Zheng-Kang Shen ◽  
Weipeng Ge ◽  
Kang Wang ◽  
...  
Keyword(s):  
Deformation Field ◽  
Yushu Earthquake ◽  
Seismic Deformation

Co-seismic Deformation Field and Parameters Inversion of the Yushu Earthquake from InSAR

2011 ◽  
Vol 13 (3) ◽  
pp. 418-423 ◽  
Author(s):  
Huifang ZHOU ◽  
Jingfa ZHANG ◽  
Leyin HU ◽  
Yi LUO
Keyword(s):  
Deformation Field ◽  
Yushu Earthquake ◽  
Parameters Inversion ◽  
Seismic Deformation

scholarly journals Co-seismic and post-seismic deformation, field observations and fault model of the 30 October 2020 Mw = 7.0 Samos earthquake, Aegean Sea

2021 ◽  
Author(s):  
Athanassios Ganas ◽  
Panagiotis Elias ◽  
Pierre Briole ◽  
Sotiris Valkaniotis ◽  
Javier Escartin ◽  
...  
Keyword(s):  
Aegean Sea ◽  
Fault Model ◽  
Deformation Field ◽  
Field Observations ◽  
Seismic Deformation

scholarly journals Building Damage Detection Based on OPCE Matching Algorithm Using a Single Post-Event PolSAR Data

2021 ◽  
Vol 13 (6) ◽  
pp. 1146
Author(s):  
Yuliang Nie ◽  
Qiming Zeng ◽  
Haizhen Zhang ◽  
Qing Wang
Keyword(s):  
Damage Detection ◽  
Texture Features ◽  
Classification Performance ◽  
Building Damage ◽  
Alos Palsar ◽  
Yushu Earthquake ◽  
Matching Algorithm ◽  
2011 Tohoku Tsunami ◽  
Collapsed Buildings ◽  
Study Sites

Synthetic aperture radar (SAR) is an effective tool in detecting building damage. At present, more and more studies detect building damage using a single post-event fully polarimetric SAR (PolSAR) image, because it permits faster and more convenient damage detection work. However, the existence of non-buildings and obliquely-oriented buildings in disaster areas presents a challenge for obtaining accurate detection results using only post-event PolSAR data. To solve these problems, a new method is proposed in this work to detect completely collapsed buildings using a single post-event full polarization SAR image. The proposed method makes two improvements to building damage detection. First, it provides a more effective solution for non-building area removal in post-event PolSAR images. By selecting and combining three competitive polarization features, the proposed solution can remove most non-building areas effectively, including mountain vegetation and farmland areas, which are easily confused with collapsed buildings. Second, it significantly improves the classification performance of collapsed and standing buildings. A new polarization feature was created specifically for the classification of obliquely-oriented and collapsed buildings via development of the optimization of polarimetric contrast enhancement (OPCE) matching algorithm. Using this developed feature combined with texture features, the proposed method effectively distinguished collapsed and obliquely-oriented buildings, while simultaneously also identifying the affected collapsed buildings in error-prone areas. Experiments were implemented on three PolSAR datasets obtained in fully polarimetric mode: Radarsat-2 PolSAR data from the 2010 Yushu earthquake in China (resolution: 12 m, scale of the study area: ); ALOS PALSAR PolSAR data from the 2011 Tohoku tsunami in Japan (resolution: 23.14 m, scale of the study area: ); and ALOS-2 PolSAR data from the 2016 Kumamoto earthquake in Japan (resolution: 5.1 m, scale of the study area: ). Through the experiments, the proposed method was proven to obtain more than 90% accuracy for built-up area extraction in post-event PolSAR data. The achieved detection accuracies of building damage were 82.3%, 97.4%, and 78.5% in Yushu, Ishinomaki, and Mashiki town study sites, respectively.

scholarly journals An integrated study on the coseismic and post-seismic deformation of the 2010 Yushu earthquake based on InSAR analysis

2019 ◽  
Vol 128 (3) ◽  
Author(s):  
Qu Chunyan ◽  
Shan Xinjian ◽  
Zuo Ronghu ◽  
Zhang Guohong ◽  
Liu Yunhua
Keyword(s):  
Yushu Earthquake ◽  
Seismic Deformation ◽  
Integrated Study

Source characteristics of the Yutian earthquake in 2008 from inversion of the co-seismic deformation field mapped by InSAR

2011 ◽  
Vol 40 (4) ◽  
pp. 935-942 ◽  
Author(s):  
Xinjian Shan ◽  
Guohong Zhang ◽  
Chisheng Wang ◽  
Chunyan Qu ◽  
Xiaogang Song ◽  
...  
Keyword(s):  
Deformation Field ◽  
Source Characteristics ◽  
Seismic Deformation
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