GB-InSAR monitoring and observational method for landslide emergency management: the Montaguto earthflow (AV, Italy)

Ferrigno, Federica; Gigli, Giovanni; Fanti, Riccardo; Intrieri, Emanuele

doi:10.5194/nhess-17-845-2017

Cited by 38 publications

(22 citation statements)

References 30 publications

(36 reference statements)

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“…The first advantage is related to the remote-sensing nature of GBSAR, which can be accomplished without installing sensors or targets on the structure at hands, while operating at a significant distance from it (up to 1–2 km). This can be useful to guarantee the safety of the monitoring activities, especially in the case of emergency situations [ 99 ]. The second remarkable advantage is that GBSAR may be operated day and night and in all weather conditions.…”

Section: Remote Sensors For Areal Deformation Measurement (Adm)mentioning

confidence: 99%

Geodetic and Remote-Sensing Sensors for Dam Deformation Monitoring

Scaioni

Marsella

Crosetto

et al. 2018

Sensors

126

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In recent years, the measurement of dam displacements has benefited from a great improvement of existing technology, which has allowed a higher degree of automation. This has led to data collection with an improved temporal and spatial resolution. Robotic total stations and GNSS (Global Navigation Satellite System) techniques, often in an integrated manner, may provide efficient solutions for measuring 3D displacements on precise locations on the outer surfaces of dams. On the other hand, remote-sensing techniques, such as terrestrial laser scanning, ground-based SAR (synthetic aperture radar) and satellite differential interferometric SAR offer the chance to extend the observed region to a large portion of a structure and its surrounding areas, integrating the information that is usually provided in a limited number of in-situ control points. The design and implementation of integrated monitoring systems have been revealed as a strategic solution to analyze different situations in a spatial and temporal context. Research devoted to the optimization of data processing tools has evolved with the aim of improving the accuracy and reliability of the measured deformations. The analysis of the observed data for the interpretation and prediction of dam deformations under external loads has been largely investigated on the basis of purely statistical or deterministic methods. The latter may integrate observation from geodetic, remote-sensing and geotechnical/structural sensors with mechanical models of the dam structure. In this paper, a review of the available technologies for dam deformation monitoring is provided, including those sensors that are already applied in routinary operations and some experimental solutions. The aim was to support people who are working in this field to have a complete view of existing solutions, as well as to understand future directions and trends.

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Section: Remote Sensors For Areal Deformation Measurement (Adm)mentioning

confidence: 99%

Geodetic and Remote-Sensing Sensors for Dam Deformation Monitoring

Scaioni

Marsella

Crosetto

et al. 2018

Sensors

126

View full text Add to dashboard Cite

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“…In this way, it has been possible to draw the boundary (polygon feature) in GIS environment. Based on the morphological characteristics, the Montaguto landslide can be divided into three main sector (Ferrigno et al, 2017): the upper sector represents the source area, the middle sector is the propagation area and the lower sector is the accumulation area (landslide toe). In each section, the eroded and accumulated volumes have been calculated.…”

Section: Analyses Of the Volume Changing: Dem Comparisonmentioning

confidence: 99%

UNCERTAINTY IN LANDSLIDES VOLUME ESTIMATION USING DEMs GENERATED BY AIRBORNE LASER SCANNER AND PHOTOGRAMMETRY DATA

Parente

Pepe

2018

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

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<p><strong>Abstract.</strong> The purpose of this paper is to identify an approach able to estimate the uncertainty related to the measure of terrain volume generated after a landslide. The survey of the area interested of landslide can be performed by Photogrammetry &amp; Remote Sensing (PaRS) techniques. Indeed, depending on the method and technology used for the survey, a different level of accuracy is achievable. The estimate of the quantity of the terrain implicated in the landslide influences the type of geological and geotechnical approach, the civil engineering project on the area and of consequence, the costs to sustain for a community. According to the experiences and recommendations reported in the ASPRS guidelines, an example of the approach used to estimate volumetric accuracy concerning one of the most important landslide in Europe is shown in this paper. In this case study, the dataset is constituted by a Digital Elevation Model (DEM) obtained by photogrammetric (stereo-images) method (pre-landslide) and another by Airborne Laser Scanner (after-landslide). By the comparisons of Airborne Laser Scanner (ALS) and photogrammetry DEMs obtained from successive surveys, it has been possible to produce maps of differences and of consequence, to calculate the volume of the terrain (eroded or accumulated). In order to calculate the uncertainty of volume, a procedure that takes in account even the different accuracy achievable in the vegetation area is explained and discussed.</p>

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“…Understanding the physical processes of landslide and transport interactions. Examples of methods include remote sensing (Giordan et al, 2018), spatial analysis of landslide inventories and road networks (Donnini et al, 2017), landslide susceptibility mapping (Brenning et al, 2015;Meneses et al, 2019), landslide models (Santangelo et al, 2019), and measurement of landslide flows (Sidle et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

“…Mitigation of transportation network landslide hazard, exposure, vulnerability and overall risk. Methods span both physical and planning measures and include minimising exposure by monitoring/early warning coupled with road closure systems (Graziella et al, 2015;Ferrigno et al, 2017), minimising hazard by slope engi-Published by Copernicus Publications on behalf of the European Geosciences Union.…”

Section: Introductionmentioning

confidence: 99%