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Combined use of statistical and DInSAR data analyses to define the state of activity of slow-moving landslides
Full text linkAnalysis at medium scale of low-resolution DInSAR data in slow-moving landslide-affected areas.
No full textLandslide studies over large areas call for multidisciplinary analyses supported by accurate ground displacement measurements. At present, conventional techniques can be valuably complemented
by innovative satellite techniques such as Differential SAR Interferometry (DInSAR), furnishing huge amounts of data at competitively affordable costs. This work investigates the remote sensed data potential in landslide studies starting from the awareness of the present constraints of the technique. To this end,
with reference to a sample area – within the territory of the National Basin Authority of Liri-Garigliano and Volturno rivers (Central-Southern Italy) – for which detailed base and thematic maps are available, quantitative examples of DInSAR data coverage on both different land-uses and landslide-affected areas
are shown. Then, an original tool for ‘‘a priori DInSAR landslide visibility zoning’’ is proposed to address the choice of the most suitable image datasets. Finally, referring to the visible zones, the outcomes of DInSAR data for checking/updating landslide inventory maps at 1:25,000 scale highlight appealing perspectives,
also holding the promise of obtaining relevant information in the landslide hazard evaluatio
Utilizzo combinato di analisi statistiche e dati DInSAR per la zonazione dello stato di attività di frane a cinematica lenta
No full textAdvanced low- and full-resolution DInSAR map generation for slow-moving landslide analysis at different scales
No full textA proper analysis of slow-moving landslides calls for several efforts aiming at their characterization and mapping. Considering the uncertainties related to the landslide inventory maps the integration of conventional techniques with remote sensing data, such as differential SAR interferometry (DInSAR), can furnish a valuable contribution in a number of case studies. However, standardized procedures for the interpretation and the confident use of DInSAR data, according to landslide zoning developments, have not been fully investigated and validated, although algorithms for image processing have become more and more sophisticated. This work addresses a new methodology for the use of DInSAR data, at both full- and low-resolutions, in landslide analyses at different scales via the integration of remote sensing data with simple geomorphological models and geometric considerations. The methodology is tested inside a well documented area in Central–Southern Italy where an advanced dataset on base and thematic maps is available
L'importanza di un protocollo nell'impiego di tecniche satellitari DInSAR
No full textLa presente nota illustra gli aspetti di innovazione tecnologica che possono derivare nel campo dell’Ingegneria Geotecnica dall’impiego delle tecniche interferometriche differenziali con immagini satellitari acquisite da Radar ad Apertura Sintetica. Tale innovazione non può prescindere da un uso consapevole del dato che, per la interdisciplinarietà del campo di utilizzo, può conseguirsi solo attraverso un’approfondita conoscenza delle problematiche da studiare ed una fattiva sinergia con gli esperti dediti allo sviluppo degli algoritmi di processamento delle immagini
Empirical fragility curves for settlement-affected buildings: Analysis of different intensity parameters for seven hundred masonry buildings in The Netherlands
Full text linkThe analysis and prediction of damage to buildings resting on highly compressible fine-grained ‘‘soft soils” containing (organic) clay
and peat are key issues to be addressed for a proper management of subsidence-affected urban areas. Among the probabilistic approaches suggested in literature, those oriented to the generation of empirical fragility curves are particularly promising provided that a comprehensive dataset for both the subsidence-related intensity (SRI) parameters and the corresponding damage severity to buildings is available. Following this line of thought, in the present paper, a rich sample of more than seven hundred monitored (by remote sensing) and surveyed masonry buildings – mainly resting with their (shallow or piled) foundations on soft soils – is analysed in four urban areas of The Netherlands. Probabilistic functions in the form of fragility curves for building damage are retrieved for three different SRI parameters (i.e., differential settlement, rotation and deflection ratio) derived from the processing of Synthetic Aperture Radar (SAR) images by way of a differential interferometric (DInSAR) technique in combination with the severity levels of the damage recorded from the visual inspection of over 700 masonry buildings. As a novelty with respect to earlier similar studies, the work points out the methodological steps to be followed in order to identify the most appropriate SRI parameter among the selected ones. Thus, the objective of the paper is to improve the existing geotechnical forecasting tools for subsidence-affected urban areas, in order to target areas that require more detailed investigations/analyses and/or to select/prioritize foundation repairing/replacing measures
The contribution of DInSAR techniques for slow-moving landslide characterization
No full textThis work shows the potential of innovative procedures for the slow-moving landslide characterization at different
scales. Particularly, the procedures are based on the joint use of data obtained via Differential SAR Interferometry
(DInSAR) remote sensing techniques, at both full- and low-resolution, the kinematic of the landslides and the landslideinduced
damage to structures/infrastructures
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