http://www.cnr.it/ontology/cnr/individuo/prodotto/ID288028
The use of DInSAR data for the analysis of building damage induced by slow-moving landslides (Contributo in atti di convegno)
- Type
- Label
- The use of DInSAR data for the analysis of building damage induced by slow-moving landslides (Contributo in atti di convegno) (literal)
- Anno
- 2015-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1007/978-3-319-09057-3_12 (literal)
- Alternative label
Ferlisi S., Peduto D., Gullà G., Nicodemo G., Borrelli L., Fornaro G. (2015)
The use of DInSAR data for the analysis of building damage induced by slow-moving landslides
in Engineering Geology for Society and Territory
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Ferlisi S., Peduto D., Gullà G., Nicodemo G., Borrelli L., Fornaro G. (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
- Engineering Geology for Society and Territory (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- CNR-IRPI, CNR-IREA, Università di Salerno (literal)
- Titolo
- The use of DInSAR data for the analysis of building damage induced by slow-moving landslides (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
- G. Lollino et al. (eds.) (literal)
- Abstract
- The paper aims at checking the contribution that DInSAR data, processed via different
algorithms, can provide to the analysis of damages recorded to buildings located in slowmoving
landslide affected areas. For this purpose, an urban area in Calabria region, southern
Italy, was selected due to the availability of both DInSAR data since 1992 and historic
information concerning damage data recorded via municipal ordinances. The combination of
DInSAR data and the results of supplementary damage surveys allowed the preliminary
investigation of a cause (maximum velocity)--effect (damage) relationship which, once
validated, can be valuably used for damage analysis and forecasting. (literal)
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