气候变化领域集成服务门户(CCPortal): A geospatial intelligence application to support post-disaster inspections based on local exposure information and on co-seismic DInSAR results: the case of the Durres (Albania) earthquake on November 26, 2019

CCPortal

DOI	10.1007/s11069-020-04120-7
	A geospatial intelligence application to support post-disaster inspections based on local exposure information and on co-seismic DInSAR results: the case of the Durres (Albania) earthquake on November 26, 2019
	Markogiannaki O.; Karavias A.; Bafi D.; Angelou D.; Parcharidis I.
发表日期	2020
ISSN	0921030X
起始页码	3085
结束页码	3100
卷号	103 期号:3
英文摘要	The current study analyzes how a geospatial intelligence application can turn into a useful operational tool in the immediate post-earthquake phase of infrastructure inspection that may have been affected by the co-seismic ground deformation due to very strong earthquake event. As a case study, the Durres (Central Albania) earthquake on November 26, 2019, has been investigated. In order to achieve this goal, free SAR images of the Sentinel-1 Copernicus satellite in both geometry of acquisition were used to create the differential interferograms and in the next step to convert them into deformation maps through phase unwrapping and convert phase to meters. Interferometric processing steps were carried out by the open and free ESA's SNAP software. Then, from open sources, data were used to identify and localize the exposure in the affected area. By combining (overlapping) the above two datasets of knowledge, a geospatial intelligence tool has been created in which for every element of the exposure that was identified, the ground deformation that the area had suffered due to the strong earthquake was also known. © 2020, Springer Nature B.V.
关键词	Albanian earthquake Exposure Geospatial intelligence Infrastructure SAR interferometry Sentinel-1
英文关键词	coseismic process; deformation; disaster management; earthquake event; Sentinel; spatial analysis; synthetic aperture radar; Albania; Durres
语种	英语
来源期刊	Natural Hazards
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/205821
作者单位	Dept. of Mechanical Engineering, University of Western Macedonia, Kozani, Greece; Dept. of Geography, Harokopio University, Athens, Greece
推荐引用方式 GB/T 7714	Markogiannaki O.,Karavias A.,Bafi D.,et al. A geospatial intelligence application to support post-disaster inspections based on local exposure information and on co-seismic DInSAR results: the case of the Durres (Albania) earthquake on November 26, 2019[J],2020,103(3).
APA	Markogiannaki O.,Karavias A.,Bafi D.,Angelou D.,&Parcharidis I..(2020).A geospatial intelligence application to support post-disaster inspections based on local exposure information and on co-seismic DInSAR results: the case of the Durres (Albania) earthquake on November 26, 2019.Natural Hazards,103(3).
MLA	Markogiannaki O.,et al."A geospatial intelligence application to support post-disaster inspections based on local exposure information and on co-seismic DInSAR results: the case of the Durres (Albania) earthquake on November 26, 2019".Natural Hazards 103.3(2020).