气候变化领域集成服务门户(CCPortal): Forecasting the magnitude of potential landslides based on InSAR techniques

CCPortal

DOI	10.1016/j.rse.2020.111738
	Forecasting the magnitude of potential landslides based on InSAR techniques
	Zhang Y.; Meng X.M.; Dijkstra T.A.; Jordan C.J.; Chen G.; Zeng R.Q.; Novellino A.
发表日期	2020
ISSN	00344257
卷号	241
英文摘要	A new method, combining empirical modeling with time series Interferometric Synthetic Aperture Radar (InSAR) data, is proposed to provide an assessment of potential landslide volume and area. The method was developed to evaluate potential landslides in the Heitai river terrace of the Yellow River in central Gansu Province, China. The elevated terrace has a substantial loess cover and along the terrace edges many landslides have been triggered by gradually rising groundwater levels following continuous irrigation since 1968. These landslides can have significant impact on communities, affecting lives and livelihoods. Developing effective landslide risk management requires better understanding of potential landslide magnitude. Fifty mapped landslides were used to construct an empirical power-law relationship linking landslide area (AL) to volume (VL) (VL = 0.333 × AL 1.399). InSAR-derived ground displacement ranges from −64 mm/y to 24 mm/y along line of sight (LOS). Further interpretation of patterns based on remote sensing (InSAR & optical image) and field survey enabled the identification of an additional 54 potential landslides (1.9 × 102 m2 ≤ AL ≤ 8.1 × 104 m2). In turn this enabled construction of a map that shows the magnitude of potential landslide activity. This research provides significant further scientific insights to inform landslide hazard and risk management, in a context of ongoing landscape evolution. It also provides further evidence that this methodology can be used to quantify the magnitude of potential landslides and thus contribute essential information towards landslide risk management. © 2020 Elsevier Inc.
英文关键词	Empirical model; Landslide forecasting; Landslide volume; Risk; Time series InSAR
语种	英语
scopus关键词	Geometrical optics; Groundwater; Remote sensing; Risk management; Risks; Synthetic aperture radar; Time series; Empirical model; Ground displacement; Interferometric synthetic aperture radars; Landscape evolutions; Landslide hazard and risks; Landslide magnitudes; Landslide risk managements; Power law relationship; Landslides; empirical analysis; forecasting method; landslide; numerical model; risk assessment; synthetic aperture radar; time series analysis
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179381
作者单位	MOE Key Laboratory of Western China's Environmental Systems, School of Earth Sciences, Lanzhou University, Lanzhou, 730000, China; Technology & Innovation Centre for Environmental Geology and Geohazards Prevention, School of Earth Sciences, Lanzhou University, Lanzhou, 730000, China; School of Architecture, Building and Civil Engineering, Loughborough University, Loughborough, LE11 3TU, United Kingdom; British Geological Survey, Nottingham, NG12 5GG, United Kingdom
推荐引用方式 GB/T 7714	Zhang Y.,Meng X.M.,Dijkstra T.A.,et al. Forecasting the magnitude of potential landslides based on InSAR techniques[J],2020,241.
APA	Zhang Y..,Meng X.M..,Dijkstra T.A..,Jordan C.J..,Chen G..,...&Novellino A..(2020).Forecasting the magnitude of potential landslides based on InSAR techniques.Remote Sensing of Environment,241.
MLA	Zhang Y.,et al."Forecasting the magnitude of potential landslides based on InSAR techniques".Remote Sensing of Environment 241(2020).