DOI: 10.1016/j.jag.2015.02.007
Scopus记录号: 2-s2.0-84943549810
论文题名: Subsidence monitoring in coal area using time-series InSAR combining persistent scatterers and distributed scatterers
作者: Zhang Z ; , Wang C ; , Tang Y ; , Fu Q ; , Zhang H
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2015
卷: 39 起始页码: 49
结束页码: 55
语种: 英语
英文关键词: Coal mining
; Distributed scatterer (DS)
; InSAR
; Persistent scatterer (PS)
; Two-scale network
Scopus关键词: coal mining
; deformation
; interferometry
; monitoring
; RADARSAT
; subsidence
; synthetic aperture radar
; Anhui
; China
; Huainan
英文摘要: In coal mining areas, ground subsidence persistently happens, which produces serious environmental issues and affects the development of cities. To monitor the ground deformation due to coal mining, a modified time-series InSAR technique combining persistent scatterers (PSs) and distributed scatterers (DSs) is presented in this paper. In particular, DSs are efficiently identified using classified information and statistical characteristics. Furthermore, a two-scale network is introduced into traditional PSI to deal with PSs and DSs in a multi-layer framework by taking the advantage of the robust of PSs and the widely distribution of DSs. The proposed method is performed to investigate the subsidence of Huainan City, Anhui province (China), during 2012-2013 using 14 scenes of Radarsat-2 images. Experimental results show that the proposed method can ease the estimation complexity and significantly increase the spatial density of measurement points, which can provide more detailed deformation information. Result shows that there are obvious subsidence areas detected in the test site with subsidence velocity larger than 5 cm/year. The proposed method brings practical applications for non-urban area deformation monitoring. © 2015 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79548
Appears in Collections: 气候变化事实与影响
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作者单位: Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, CAS, Beijing, China; University of Chinese Academy of Sciences, Beijing, China; China Centre for Resources Satellite Data and Application, Beijing, China
Recommended Citation:
Zhang Z,, Wang C,, Tang Y,et al. Subsidence monitoring in coal area using time-series InSAR combining persistent scatterers and distributed scatterers[J]. International Journal of Applied Earth Observation and Geoinformation,2015-01-01,39