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Multiscalar analysis of subsidence phenomena via DInSAR data

Authors: PEDUTO, DARIO; CASCINI, Leonardo; Arena, Livia; FERLISI, Settimio; Fornaro, Gianfranco; Reale, Diego;

Multiscalar analysis of subsidence phenomena via DInSAR data

Abstract

In the last decade the use of data deriving from the differential interferometric processing of images acquired by spaceborne Synthetic Aperture Radar (DInSAR) was successfully tested for the analysis of ground displacements induced by subsidence phenomena. The present paper shows how the appropriate use of DInSAR data acquired by sensors with different ground resolutions can provide valuable contributions in analyzing at different scales structures and infrastructures affected by settlements. The continuous enhancements of both sensor acquisition characteristics and image processing algorithms hold the promise for a standardized use in common practice of land planning and management.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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