DOI: 10.1016/j.jag.2014.05.011
Scopus记录号: 2-s2.0-84904403601
论文题名: Analysis of building deformation in landslide area using multisensor PSInSARTM technique
作者: Ciampalini A ; , Bardi F ; , Bianchini S ; , Frodella W ; , del Ventisette C ; , Moretti S ; , Casagli N
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2014
卷: 33, 期: 1 起始页码: 166
结束页码: 180
语种: 英语
英文关键词: Buildings
; Damages
; Landslide
; Psinsar
; Radar
Scopus关键词: building
; COSMO-SkyMed
; damage
; deformation
; landslide
; radar interferometry
; spatial distribution
; synthetic aperture radar
; temporal distribution
; TerraSAR-X
; Italy
; Sicily
英文摘要: Buildings are sensitive to movements caused by ground deformation. The mapping both of spatialand temporal distribution, and of the degree of building damages represents a useful tool in order tounderstand the landslide evolution, magnitude and stress distribution. The high spatial resolution ofspace-borne SAR interferometry can be used to monitor displacements related to building deformations.In particular, PSInSAR technique is used to map and monitor ground deformation with millimeter accu-racy. The usefulness of the above mentioned methods was evaluated in San Fratello municipality (Sicily,Italy), which was historically affected by landslides: the most recent one occurred on 14th February 2010.PSInSAR data collected by ERS 1/2, ENVISAT, RADARSAT-1 were used to study the building deformationvelocities before the 2010 landslide. The X-band sensors COSMO-SkyMed and TerraSAR-X were used inorder to monitor the building deformation after this event. During 2013, after accurate field inspectionon buildings and structures, damage assessment map of San Fratello were created and then comparedto the building deformation velocity maps. The most interesting results were obtained by the compari-son between the building deformation velocity map obtained through COSMO-SkyMed and the damageassessment map. This approach can be profitably used by local and Civil Protection Authorities to managethe post-event phase and evaluate the residual risks. © 2014 The Authors. Published by Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79655
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Earth Sciences, University of Firenze, Via La Pira 4, 50121 Firenze, Italy
Recommended Citation:
Ciampalini A,, Bardi F,, Bianchini S,et al. Analysis of building deformation in landslide area using multisensor PSInSARTM technique[J]. International Journal of Applied Earth Observation and Geoinformation,2014-01-01,33(1)