Intermittent small baseline subset (ISBAS) InSAR analysis to monitor landslides in Costa Della Gaveta, Southern Italy

Novellino, Alessandro; Cigna, Francesca; Sowter, Andrew; Syafiudin, Moh. Fifik; Martire, Diego Di; Ramondini, Massimo; Calcaterra, Domenico

doi:10.1109/igarss.2015.7326584

Cited by 12 publications

(12 citation statements)

References 12 publications

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“…The echo signal is mixed with the signal from oscillator 1 (f 1 ). Then, the LPF output contains sinusoidal echo signal and direct current (DC) component, it can be written as (3).…”

Section: Proposed Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Dual Frequency Continuous Wave Radar for Small Displacement Detection

Palupi¹,

Pramudita²,

Arseno³

et al. 2018

EECSI

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In several field such as structure health monitoring, landslide monitoring and medical measurement, small displacement is used as the indicator of any problem that may rise in such fields. High resolution radar system is required for small displacement detection in millimeter of centimeter scale. Continuous wave (CW) radar with its narrow bandwidth feature, has a simpler system comparing with other radar system. However, the modification is needed to present the ability of CW radar in detecting small displacement. In this paper, dual frequency CW radar was investigated and proposed for small displacement detection. Computer simulation has been conducted to study the capability of the proposed radar system. The result shows that the dual frequency CW radar at 10.525 GHz is capable to detect a small displacement in millimeter scale. The frequency difference of the radar signal needs to be adjusted to avoid the ambiguity in the detection result.

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“…The echo signal is mixed with the signal from oscillator 1 (f 1 ). Then, the LPF output contains sinusoidal echo signal and direct current (DC) component, it can be written as (3).…”

Section: Proposed Methodsmentioning

confidence: 99%

“…Radar system was studied to be implemented in detecting small displacement. Some studies have been developing the Synthetic Aperture Radar (SAR) system that applied to detect a landslide [1][2][3]. SAR technology uses pulse waveform that having ultra-wideband (UWB) characteristic [4].…”

Section: Introductionmentioning

confidence: 99%

Dual Frequency Continuous Wave Radar for Small Displacement Detection

Palupi¹,

Pramudita²,

Arseno³

et al. 2018

EECSI

View full text Add to dashboard Cite

show abstract

“…Xue et al (2016) used C-band ASAR images obtained from July 2003 to March 2010 to slope monitoring in the over 3.5 million inhabitants Lanzhou city area (China). Sun et al (2015) used ALOS L-band images acquired between January 2007 and May 2010 to conclude that Zhouqu giant landslide that caused over than 1700 fatalities in 2010, shown instabilities before the event and Novellino et al (2015) present a MT-InSAR analysis to monitor landslide in Costa Della Gaveta (Italy) using TerraSAR-X images acquired between February 2010 and April 2011. Macciotta et al (2016) proposed an early warning system for a very slow landslide displacement monitoring by integrating MT-InSAR techniques with a set of in situ deployed techniques/equipment.…”

Section: Sar Interferometry For Landslide Identificationmentioning

confidence: 99%

Potential of Sentinel-1a for Nation-Wide Routine Updates of Active Landslide Maps

Lázecký

Comut

Nikolaeva

et al. 2016

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

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Slope deformation is one of the typical geohazards that causes an extensive economic damage in mountainous regions. As such, they are usually intensively monitored by means of modern expertise commonly by national geological or emergency services. Resulting landslide susceptibility maps, or landslide inventories, offer an overview of areas affected by previously activated landslides as well as slopes known to be unstable currently. Current slope instabilities easily transform into a landslide after various triggering factors, such as an intensive rainfall or a melting snow cover. In these inventories, the majority of the existing landslide-affected slopes are marked as either stable or active, after a continuous investigative work of the experts in geology. In this paper we demonstrate the applicability of Sentinel-1A satellite SAR interferometry (InSAR) to assist by identifying slope movement activity and use the information to update national landslide inventories. This can be done reliably in cases of semi-arid regions or low vegetated slopes. We perform several analyses based on multitemporal InSAR techniques of Sentinel-1A data over selected areas prone to landslides.

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“…In recent years, remote sensing methodologies for Earth observation have gained more and more attention and appreciation, also consolidated by good results, so far achieved as tools for the monitoring of a wide range of deformation phenomena occurring on Earth's surface [7][8][9][10][11][12][13][14][15][16][17]. Remote sensing tools, indeed, have become rapidly one of the most important and valuable methods for the prevention and investigation of instabilities, thanks to their rapidity of acquisition, the easy management of the data and for the relative low costs as well.…”

Section: Introductionmentioning

confidence: 99%

Integrated Procedure for Monitoring and Assessment of Linear Infrastructures Safety (I-Pro MONALISA) Affected by Slope Instability

Infante¹,

Martire

Calcaterra

et al. 2019

Applied Sciences

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The occurrence of geological events such as landslides is one of the main causes of damage along linear infrastructures: Damage to transport infrastructures, as roads, bridges, and railways, can restrict their optimal functions and contribute to traffic accidents. The frequent and accurate monitoring of slope instability phenomena and of their interaction with existing man-made infrastructures plays a key role in risk prevention and mitigation activities. In this way, the use of high-resolution X-band synthetic aperture radar (SAR) data, characterized by short revisiting times, has demonstrated to be a powerful tool for a periodical noninvasive monitoring of ground motion and superstructure stability, aimed at improving the efficiency of inspection, repairing, and rehabilitation efforts. In the present work, we suggest a semiautomatic GIS approach, which, by using satellite radar interferometry data and results of geomorphological field survey integrated in a qualitative vulnerability matrix, allows to identify sections with different levels of damage susceptibility, where detailed conventional in situ measurements are required for further analysis. The procedure has been tested to investigate landslide-induced effects on a linear infrastructure in Campania Region (Italy), the Provincial Road “P.R. 264”, which is affected, along its linear development, by several slope instabilities. COSMO-SkyMed interferometric products, as indicator of ground kinematics, and results of in situ damage survey, as indicator of consequences, have been merged in a qualitative 4 × 4 matrix, thus obtaining a vulnerability zoning map along a linear infrastructure in January 2015. Furthermore, an updating of landslide inventory map is provided: In addition to 24 official landslides pre-mapped in 2012, 30 new events have been identified, and corresponding intensity and state of activity has been detected.

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Intermittent small baseline subset (ISBAS) InSAR analysis to monitor landslides in Costa Della Gaveta, Southern Italy

Cited by 12 publications

References 12 publications

Dual Frequency Continuous Wave Radar for Small Displacement Detection

Dual Frequency Continuous Wave Radar for Small Displacement Detection

Potential of Sentinel-1a for Nation-Wide Routine Updates of Active Landslide Maps

Integrated Procedure for Monitoring and Assessment of Linear Infrastructures Safety (I-Pro MONALISA) Affected by Slope Instability

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