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| Titel |
The combination of DInSAR and facility damage data for the updating of slow-moving landslide inventory maps at medium scale |
| VerfasserIn |
L. Cascini, Dario Peduto, G. Pisciotta, L. Arena, S. Ferlisi, G. Fornaro |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1561-8633
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| Digitales Dokument |
URL |
| Erschienen |
In: Natural Hazards and Earth System Science ; 13, no. 6 ; Nr. 13, no. 6 (2013-06-18), S.1527-1549 |
| Datensatznummer |
250018499
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| Publikation (Nr.) |
 copernicus.org/nhess-13-1527-2013.pdf |
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| Zusammenfassung |
| Testing innovative procedures and techniques to update landslide inventory
maps is a timely topic widely discussed in the scientific literature. In
this regard remote sensing techniques – such as the Synthetic Aperture
Radar Differential Interferometry (DInSAR) – can provide a valuable
contribution to studies concerning slow-moving landslides in different
geological contexts all over the world. In this paper, DInSAR data are
firstly analysed via an innovative approach aimed at enhancing both the
exploitation and the interpretation of remote sensing information; then,
they are complemented with the results of an accurate analysis of
survey-recorded damage to facilities due to slow-moving landslides. In
particular, after being separately analysed to provide independent landslide
movement indicators, the two datasets are combined in a DInSAR-Damage matrix
which can be used to update the state of activity of slow-moving landslides.
Moreover, together with the information provided by geomorphological maps,
the two datasets are proven to be useful in detecting unmapped phenomena.
The potentialities of the adopted procedure are tested in an area of
southern Italy where slow-moving landslides are widespread and accurately
mapped by using geomorphological criteria. |
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