A landslide forecasting model using ground based SAR data: The Portalet case study

Herrera, Gerardo; Merodo, J. A. Fernández; Mulas, J.; Pastor, M.; Luzi, G.; Monserrat, Oriol

doi:10.1016/j.enggeo.2009.02.009

Cited by 121 publications

(72 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As an active remote sensing technology, Synthetic Aperture Radar (SAR) can work under any weather and illumination conditions [4]. It has been widely used in many different applications, such as topography inversion [5,6], forest investigation [7,8], ocean observation [9] and geohazards monitoring [10][11][12][13][14]. For landslide monitoring, the differential interferometric SAR (D-InSAR) technology and the offset tracking method with SAR images have been widely used.…”

Section: Introductionmentioning

confidence: 99%

An Adaptive Offset Tracking Method with SAR Images for Landslide Displacement Monitoring

et al. 2017

View full text Add to dashboard Cite

Abstract:With the development of high-resolution Synthetic Aperture Radar (SAR) systems, researchers are increasingly paying attention to the application of SAR offset tracking methods in ground deformation estimation. The traditional normalized cross correlation (NCC) tracking method is based on regular matching windows. For areas with different moving characteristics, especially the landslide boundary areas, the NCC method will produce incorrect results. This is because in landslide boundary areas, the pixels of the regular matching window include two or more types of moving characteristics: some pixels with large displacement, and others with small or no displacement. These two kinds of pixels are uncorrelated, which result in inaccurate estimations. This paper proposes a new offset tracking method with SAR images based on the adaptive matching window to improve the accuracy of landslide displacement estimation. The proposed method generates an adaptive matching window that only contains pixels with similar moving characteristics. Three SAR images acquired by the Jet Propulsion Laboratory's Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) system are selected to estimate the surface deformation of the Slumgullion landslide located in the southwestern Colorado, USA. The results show that the proposed method has higher accuracy than the traditional NCC method, especially in landslide boundary areas. Furthermore, it can obtain more detailed displacement information in landslide boundary areas.

show abstract

Section: Introductionmentioning

confidence: 99%

An Adaptive Offset Tracking Method with SAR Images for Landslide Displacement Monitoring

et al. 2017

View full text Add to dashboard Cite

show abstract

“…With the flexibility, GB-SAR can acquire deformations from as large as several meters per hour to as small as few millimeters per year by adjusting the observation model and period. So it can be applied in open pit slope stability monitoring (Casagli et al, Farina et al, 2011;Farina et al, 2012;Mecatti et Al., 2010;and Severin et al, 2011), landslides monitoring (Tarchi et al, 2003b;Luzi et al, 2006;Herrera et al, 2009;Corsini et al, 2013;Barla et al, 2010;Schulz et al, 2012), urban monitoring (Pieraccini et al, 2004;Tapete et al, 2013;Pipia et al, 2013), structure monitoring (Tarchi et al, 1997), dam monitoring (Tarchi et al,1999;Alba et al, 2008;Luzi et al, 2010a), and glacier monitoring (Luzi et al, 2007, Noferini et al, 2009Hyangsun and Hoonyol, 2011). GB-SAR data can be acquired using two types modes: the continuous (C-GBSAR) and the dis-continuous (D-GBSAR).…”

Section: Introductionmentioning

confidence: 99%

A Rail Central Displacement Method About Gb-Sar

Peng

Cai

Yang

2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

ABSTRACT:This paper presents a new method to correct rail errors of Ground Based Synthetic Aperture Radar (GB-SAR) in the discontinue mode. Generally, "light positioning" is performed to mark the GB-SAR position in the dis-continuous observation mode. Usually we assume there is no difference between the marked position and the real installation position. But in fact, it is hard to keep the GB-SAR positions of two campaigns the same, so repositioning errors can't be neglected. In order to solve this problem, we propose an algorithm to correct the rail error after analyzing the GB-SAR rail error geometry. Results of the simulation experiment and the real experiment of a landslide in Lvliang, Shanxi, China, show the proposed method achieves an mm-level precision, enabling the D-GBSAR mode to be used in engineering projects.

show abstract

“…In recent years, the Ground-Based Interferometric Synthetic Aperture Radar (GB-InSAR) technique has been widely used to monitor ground displacements in research on landslides (Tarchi et al, 2003;Herrera et al 2009;Barla et al 2010;Schulz et al 2012;Corsini et al 2013;Bardi et al 2014), volcanoes (Bozzano et al 2011;Nolesini et al, 2013;Di Traglia et al 2014) and sinkholes (Intrieri et al 2015). Terrestrial laser scanning (TLS) has become a widely applied technique for the detection and characterization of several types of mass movements as it allows the rapid collection of detailed and highly accurate 3D ground representations (Abellan et al 2006;Oppikofer et al 2008;Jaboyedoff et al 2009;Fanti et al 2012;Gigli et al 2014).…”

Section: Introductionmentioning

confidence: 99%

The Calatabiano landslide (southern Italy): preliminary GB-InSAR monitoring data and remote 3D mapping

et al. 2016

View full text Add to dashboard Cite

On 24 October 2015, following a period of heavy rainfall, a landslide occurred in the Calatabiano Municipality (Sicily Island, Southern Italy), causing the rupture of a water pipeline supplying water to the city of Messina. Following this event, approximately 250,000 inhabitants of the city suffered critical water shortages for several days. Consequently, on 6 November 2015, a state of emergency was declared (O.C.D.P. 295/2015) by the National Italian Department of Civil Protection (DPC). During the emergency management phase, a provisional by-pass, consisting of three 350-m long pipes passing through the landslide area, was constructed to restore water to the city. Furthermore, on 11 November 2015, a landslide remote-sensing monitoring system was installed with the following purposes: (i) analyse the landslide geomorphological and kinematic features in order to assess the residual landslide risk and (ii) support the early warning procedures needed to ensure the safety of the personnel involved in the by-pass construction and the landslide stabilization works. The monitoring system was based on the combined use of Ground-Based Interferometric Synthetic Aperture Radar (GB-InSAR) and terrestrial laser scanning (TLS). In this work, the preliminary results of the monitoring activities and a remote 3D map of the landslide area are presented

show abstract

A landslide forecasting model using ground based SAR data: The Portalet case study

Cited by 121 publications

References 24 publications

An Adaptive Offset Tracking Method with SAR Images for Landslide Displacement Monitoring

An Adaptive Offset Tracking Method with SAR Images for Landslide Displacement Monitoring

A Rail Central Displacement Method About Gb-Sar

The Calatabiano landslide (southern Italy): preliminary GB-InSAR monitoring data and remote 3D mapping

Contact Info

Product

Resources

About