Analysis at medium scale of low-resolution DInSAR data in slow-moving landslide-affected areas (Articolo in rivista)

Type
Label
  • Analysis at medium scale of low-resolution DInSAR data in slow-moving landslide-affected areas (Articolo in rivista) (literal)
Anno
  • 2009-01-01T00:00:00+01:00 (literal)
Alternative label
  • Cascini L, Fornaro G, Peduto D (2009)
    Analysis at medium scale of low-resolution DInSAR data in slow-moving landslide-affected areas
    in ISPRS journal of photogrammetry and remote sensing
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Cascini L, Fornaro G, Peduto D (literal)
Pagina inizio
  • 598 (literal)
Pagina fine
  • 611 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 64 (literal)
Rivista
Note
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Univ Salerno, Dept Civil Engn, I-84084 Salerno, Italy CNR, IREA, Inst Electromagnet Sensing Environm, I-80124 Naples, Italy (literal)
Titolo
  • Analysis at medium scale of low-resolution DInSAR data in slow-moving landslide-affected areas (literal)
Abstract
  • Landslide studies over large areas call for multidisciplinary analyses supported by accurate ground displacement measurements. At present, conventional techniques can be valuably complemented by innovative satellite techniques such as Differential SAR Interferometry (DInSAR), furnishing huge amounts of data at competitively affordable costs. This work investigates the remote sensed data potential in landslide studies starting from the awareness of the present constraints of the technique. To this end, with reference to a sample area - within the territory of the National Basin Authority of Liri-Garigliano and Volturno rivers (Central-Southern Italy) - for which detailed base and thematic maps are available, quantitative examples of DInSAR data coverage on both different land-uses and landslide-affected areas are shown. Then, an original tool for \"a priori DInSAR landslide visibility zoning\" is proposed to address the choice of the most suitable image datasets. Finally, referring to the visible zones, the outcomes of DInSAR data for checking/updating landslide inventory maps at 1:25,000 scale highlight appealing perspectives, also holding the promise of obtaining relevant information in the landslide hazard evaluation. (literal)
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