title: Automatic recognition of seismic intensity based on RS and GIS: a case study in Wenchuan Ms8.0 earthquake of China.
abstract: In recent years, earthquakes have frequently occurred all over the world, which caused huge casualties and economic losses. It is very necessary and urgent to obtain the seismic intensity map timely so as to master the distribution of the disaster and provide supports for quick earthquake relief. Compared with traditional methods of drawing seismic intensity map, which require many investigations in the field of earthquake area or are too dependent on the empirical formulas, spatial information technologies such as Remote Sensing (RS) and Geographical Information System (GIS) can provide fast and economical way to automatically recognize the seismic intensity. With the integrated application of RS and GIS, this paper proposes a RS/GIS-based approach for automatic recognition of seismic intensity, in which RS is used to retrieve and extract the information on damages caused by earthquake, and GIS is applied to manage and display the data of seismic intensity. The case study in Wenchuan Ms8.0 earthquake in China shows that the information on seismic intensity can be automatically extracted from remotely sensed images as quickly as possible after earthquake occurrence, and the Digital Intensity Model (DIM) can be used to visually query and display the distribution of seismic intensity.
authors.affiliation: Center for Digital Engineering and Simulation, Huazhong University of Science and Technology, 1037 Luoyu Road, Hongshan District, Wuhan 430074, China.
authors.forename: Qiuwen
authors.identifier: 0000-0002-7023-000X
authors.initials: Q
authors.lastname: Zhang
authors.affiliation: Center for Digital Engineering and Simulation, Huazhong University of Science and Technology, 1037 Luoyu Road, Hongshan District, Wuhan 430074, China.
authors.forename: Yan
authors.initials: Y
authors.lastname: Zhang
authors.affiliation: Center for Digital Engineering and Simulation, Huazhong University of Science and Technology, 1037 Luoyu Road, Hongshan District, Wuhan 430074, China.
authors.forename: Xiaohong
authors.identifier: 0000-0002-4706-9924
authors.initials: X
authors.lastname: Yang
authors.affiliation: Center for Digital Engineering and Simulation, Huazhong University of Science and Technology, 1037 Luoyu Road, Hongshan District, Wuhan 430074, China.
authors.forename: Bin
authors.initials: B
authors.lastname: Su
mesh_terms: D002681:China; D004190:Disasters; D055866:Earthquakes; D040362:Geographic Information Systems; D006801:Humans; D058998:Remote Sensing Technology; D063809:Satellite Imagery