Mapping of slow landslides on the Palos Verdes Peninsula using the California landslide inventory and persistent scatterer interferometry

Bouali, El Hachemi; Oommen, Thomas; Escobar-Wolf, R. P.

doi:10.1007/s10346-017-0882-z

Cited by 31 publications

(25 citation statements)

References 56 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In particular, some landslide activity might be underestimated in the PAI. We believe that satellite-based techniques represent a useful tool to update large landslides catalogs, as also suggested by other authors (e.g., Cascini, L. et al [63].…”

Section: Discussionsupporting

confidence: 49%

Landslides and Subsidence Assessment in the Crati Valley (Southern Italy) Using InSAR Data

et al. 2018

View full text Add to dashboard Cite

Abstract:In this work, we map surficial ground deformations that occurred during the years 2004-2010 in the Crati Valley (Southern Italy). The valley is in one of the most seismically active regions of the Italian peninsula, and presents slope instability and widespread landslide phenomena. We measured ground deformations by applying the small baseline subset (SBAS) technique, a multi-temporal synthetic aperture radar interferometry (InSAR) methodology that is used to process datasets of synthetic aperture radar (SAR) images. Ground displacements are only partially visible with the InSAR technique. Visibility depends on the geometry of the acquisition layout, such as the radar acquisition angle view, and the land use. These two factors determine the backscattering of the reflected signal. Most of the ground deformation detected by InSAR can be attributed to the gravitational mass movements of the hillslopes (i.e., landslides), and the subsidence of the quaternary deposits filling the valley. The movements observed along the valley slopes were compared with the available landslide catalog. We also identified another cause of movement in this area, i.e., ground subsidence due to the compaction of the quaternary deposits filling the valley. This compaction can be ascribed to various sources, such as urban population growth and sprawl, industrial water withdrawal, and tectonic activity.

show abstract

Section: Discussionsupporting

confidence: 49%

Landslides and Subsidence Assessment in the Crati Valley (Southern Italy) Using InSAR Data

et al. 2018

View full text Add to dashboard Cite

show abstract

“…A wide range of algorithms have been developed to produce InSAR time series of ground deformation and minimize errors associated with temporal decorrelation and topography (Osmanoğlu et al 2016). The time series InSAR method has been applied successfully in a range of landslide studies, not only to locate landslides, but also to identify spatial-temporal patterns of movement (Necsoiu et al 2014;Zhang et al 2016;Tomás et al 2016;Bouali et al 2017). Moreover, analysis of InSAR-generated displacement time series has the potential to identify periods of accelerated landslide deformation and to evaluate correlations with different triggers (rainfall, earthquakes).…”

Section: Introductionmentioning

confidence: 99%

Investigating slow-moving landslides in the Zhouqu region of China using InSAR time series

et al. 2018

View full text Add to dashboard Cite

In the Zhouqu region (Gansu, China), landslide distribution and activity exploits geological weaknesses in the faultcontrolled belt of low-grade metamorphic rocks of the Bailong valley and severely impacts lives and livelihoods in this region. Landslides reactivated by the Wenchuan 2008 earthquake and debris flows triggered by rainfall, such as the 2010 Zhouqu debris flow, have caused more than 1700 casualties and estimated economic losses of some US$0.4 billion. Earthflows presently cover some 79% of the total landslide area and have exerted a strong influence on landscape dynamics and evolution in this region. In this study, we use multi-temporal Advanced Land Observing Satellite and Phased Array type L-band Synthetic Aperture Radar (ALOS PALSAR) data and time series interferometric synthetic aperture radar to investigate slow-moving landslides in a mountainous region with steep topography for the period December 2007-August 2010 using the Small Baseline Subsets (SBAS) technique. This enabled the identification of 11 active earthflows, 19 active landslides with deformation rates exceeding 100 mm/year and 20 new instabilities added into the pre-existing landslide inventory map. The activity of these earthflows and landslides exhibits seasonal variations and accelerated deformation following the Wenchuan earthquake. Time series analysis of the Suoertou earthflow reveals that seasonal velocity changes are characterized by comparatively rapid acceleration and gradual deceleration with distinct kinematic zones with different mean velocities, although velocity changes appear to occur synchronously along the landslide body over seasonal timescales. The observations suggest that the post-seismic effects (acceleration period) on landslide deformation last some 6-7 months.

show abstract

“…The main elements of the bridge displacement detection include the following steps. InSAR PSI data, which covered the Palos Verdes Hills, and Oxnard area along the southwest coast of California was obtained from a study for the mapping of slow landslides on Palos Verdes Peninsula using persistent scatterer interferometry [19]. The next step included organizing and analyzing data from the ENVISAT satellite, using ArcGIS to seek out zones of max ground-displacement.…”

Section: Methodsmentioning

confidence: 99%

“…This study focuses on the use of ENVISAT C-band Synthetic Aperture Radar (SAR) data, which has been collected for the area encompassing Oxnard, California. The impetus behind this work was established from a study for the mapping of slow landslides on Palos Verdes Peninsula using PSI [19]. Satellite-based radar sensors provide millimeter-level displacement monitoring, and coverage over large areas, with the ability to collect data during all weather conditions, day or night [20].…”

Section: Introductionmentioning

confidence: 99%

Monitoring the Impact of Groundwater Pumping on Infrastructure Using Geographic Information System (GIS) and Persistent Scatterer Interferometry (PSI)

2018

Self Cite

View full text Add to dashboard Cite

Transportation infrastructure is critical for the advancement of society. Bridges are vital for an efficient transportation network. Bridges across the world undergo variable deformation/displacement due to the Earth’s dynamic processes. This displacement is caused by ground motion, which occurs from many natural and anthropogenic events. Events causing deformation include temperature fluctuation, subsidence, landslides, earthquakes, water/sea level variation, subsurface resource extraction, etc. Continual deformation may cause bridge failure, putting civilians at risk, if not managed properly. Monitoring bridge displacement, large and small, provides evidence of the state and health of the bridge. Traditionally, bridge monitoring has been executed through on-site surveys. Although this method of bridge monitoring is systematic and successful, it is not the most efficient and cost-effective. Through technological advances, satellite-based Persistent Scatterer Interferometry (PSI) and Geographic Information Systems (GIS) have provided a system for analyzing ground deformation over time. This method is applied to distinguish bridges that are more at risk than others by generating models that display the displacement at various locations along each bridge. A bridge’s health and its potential risk can be estimated upon analysis of measured displacement rates. In return, this process of monitoring bridges can be done at much faster rates; saving time, money and resources. PSI data covering Oxnard, California, revealed both bridge displacement and regional ground displacement. Although each bridge maintained different patterns of displacement, many of the bridges within the Oxnard area displayed an overall downward movement matching regional subsidence trends observed in the area. Patterns in displacement-time series plots provide evidence for two types of deformation mechanisms. Long-term downward movements correlate with the relatively large regional subsidence observed using PSI in Oxnard. Thermal dilation from seasonal temperature changes may cause short-term variabilities unique to each bridge. Overall, it may be said that linking geologic, weather, and groundwater patterns with bridge displacement has shown promise for monitoring transportation infrastructure and more importantly differentiating between regional subsidence and site-specific displacements.

show abstract

Mapping of slow landslides on the Palos Verdes Peninsula using the California landslide inventory and persistent scatterer interferometry

Cited by 31 publications

References 56 publications

Landslides and Subsidence Assessment in the Crati Valley (Southern Italy) Using InSAR Data

Landslides and Subsidence Assessment in the Crati Valley (Southern Italy) Using InSAR Data

Investigating slow-moving landslides in the Zhouqu region of China using InSAR time series

Monitoring the Impact of Groundwater Pumping on Infrastructure Using Geographic Information System (GIS) and Persistent Scatterer Interferometry (PSI)

Contact Info

Product

Resources

About