2006
DOI: 10.1016/j.enggeo.2006.09.015
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Application of multi-temporal differential interferometry to slope instability detection in urban/peri-urban areas

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Cited by 81 publications
(34 citation statements)
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“…The approach has been demonstrated to give good results in several instances, e.g. in the study of small-scale phenomena such as landslides in low-urbanization settings (Bovenga et al 2006). Here, we applied the same approach to increase the number of detected PS on the urban center of Lesina Marina, which has a size of about 1 km  1 km.…”
Section: Dataset Satellite Data and Processingmentioning
confidence: 99%
See 1 more Smart Citation
“…The approach has been demonstrated to give good results in several instances, e.g. in the study of small-scale phenomena such as landslides in low-urbanization settings (Bovenga et al 2006). Here, we applied the same approach to increase the number of detected PS on the urban center of Lesina Marina, which has a size of about 1 km  1 km.…”
Section: Dataset Satellite Data and Processingmentioning
confidence: 99%
“…4, as a function of the northings UTM coordinate. In the figure, PS velocities' error bars are derived from estimates of the phase dispersion (Bovenga et al 2006). Uncertainties on leveling mean velocities can only be inferred from nominal accuracy values of each of the two measurements, and are negligible compared to the former.…”
Section: Comparison With Leveling Datamentioning
confidence: 99%
“…This Persistent Scatterers Interferometry-like algorithm (cf., Ferretti et al [12]), originally developed for detection and monitoring of radar targets in non-or scarcely urbanized areas [3,4], has recently been updated to guarantee proper processing of high resolution X-band data from the new generation radar sensors such as CSK and to increase its application flexibility also in case of densely urbanized areas [5]. The quality of SPINUA processing products has already been tested and confirmed in different types of applications.…”
Section: Mti Processingmentioning
confidence: 99%
“…According to this statement, we used the heights computed by processing the Spotlight dataset as reference values for the following analysis, while the result coming from the Stripmap dataset was used to cross-validate the PSI processing. PSI processing was performed through the SPINUA (Stable Point INterferometry over Unurbanised Areas) algorithm [Bovenga et al, 2004;Bovenga et al, 2006]. The processing chain is the result of a joint effort of the Remote Sensing Group of the Department of Physics at Politecnico di Bari and the ISSIA-CNR institute of Bari.…”
Section: Multi-temporal Interferometric Analysis For Height Measurementsmentioning
confidence: 99%