http://www.cnr.it/ontology/cnr/individuo/prodotto/ID272832
The combination of DInSAR and facility damage data for the updating of slow-moving landslide inventory maps at medium scale (Articolo in rivista)
- Type
- Label
- The combination of DInSAR and facility damage data for the updating of slow-moving landslide inventory maps at medium scale (Articolo in rivista) (literal)
- Anno
- 2013-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.5194/nhess-13-1527-2013 (literal)
- Alternative label
Cascini L., Peduto D., Pisciotta G., Arena L., Ferlisi S., Fornaro G. (2013)
The combination of DInSAR and facility damage data for the updating of slow-moving landslide inventory maps at medium scale
in Natural hazards and earth system sciences (Print)
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Cascini L., Peduto D., Pisciotta G., Arena L., Ferlisi S., Fornaro G. (literal)
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- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Univ Salerno, Dept Civil Engn, I-84084 Salerno, Italy; Inst Electromagnet Sensing Environm IREA CNR, I-80124 Naples, Italy (literal)
- Titolo
- The combination of DInSAR and facility damage data for the updating of slow-moving landslide inventory maps at medium scale (literal)
- Abstract
- 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. (literal)
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