Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloRegional susceptibility assessments with heterogeneous landslide information: Slope unit- vs. pixel-based approach
Anno di pubblicazione2020
Formato
  • Elettronico
  • Cartaceo
Autore/iL. Jacobs(a), M. Kervyn(b), P. Reichenbach(c), M. Rossi(c), I. Marchesini(c), M. Alvioli(c), O. Dewitte(d)
Affiliazioni autori(a) KU Leuven, Division of Geography and Tourism, Celestijnenlaan 200E, 3001 Leuven, Belgium (b) Vrije Universiteit Brussel, Department of Geography, Earth System Science, Pleinlaan 2, 1050 Brussels, Belgium (c) Consiglio Nazionale delle Ricerche, Istituto di Ricerca per la Protezione Idrogeologica, via Madonna Alta 126, 06128 Perugia, Italy (d) Royal Museum for Central Africa, Department of Earth Sciences, Leuvensesteenweg 13, 3080 Tervuren, Belgium
Autori CNR e affiliazioni
  • PAOLA REICHENBACH
  • MAURO ROSSI
  • IVAN MARCHESINI
  • MASSIMILIANO ALVIOLI
Lingua/e
  • inglese
AbstractRegional landslide inventories are often prepared by several different experts, using a variety of data sources. This can result in a combination of polygon and point landslide data, characterized by different meanings, uncertainties and levels of reliability. The propagation of uncertainties due to such heterogeneous data is a relevant issue in statistical landslide susceptibility zonation at supra-local scale. In the inhabited highlands of the Rwenzori Mountains, we compare different approaches and mapping units to provide a robust methodology for susceptibility mapping using a combination of landslide point and polygon data. First, the effect of the uncertainty related to a point representation of landslides is assessed comparing slope unit-based and pixel-based analyses, using digital elevation models with different resolutions. Secondly, with regard to landslide polygon inventories, we compare the use of thresholds versus a presence/absence of the depletion centroid or a randomly selected point in the landslide polygon in order to identify slope units with landslides. Based on these results, we prepare regional slope unit-based susceptibility maps using a logistic regression model calibrated with the landslide polygon inventory and validated with the point inventory. Although pixel-based mapping remains the most common approach for statistical landslide susceptibility zonation, our analysis clearly favours the use of slope units as a powerful tool to prepare regional susceptibility maps and, in particular, to exploit heterogeneous information in a consistent way.
Lingua abstractinglese
Altro abstract-
Lingua altro abstract-
Pagine da1
Pagine a20
Pagine totali20
RivistaGeomorphology (Amst.)
Attiva dal 1987
Editore: Elsevier - Oxford ;
Paese di pubblicazione: Paesi Bassi
Lingua: inglese
ISSN: 0169-555X
Titolo chiave: Geomorphology (Amst.)
Titolo proprio: Geomorphology. (Amst.)
Titolo abbreviato: Geomorphology (Amst.)
Numero volume della rivista356
Fascicolo della rivista-
DOI10.1016/j.geomorph.2020.107084
Verificato da refereeSì: Internazionale
Stato della pubblicazionePostprint
Indicizzazione (in banche dati controllate)
  • Scopus (Codice:2-s2.0-85079405540)
Parole chiaveLandslide susceptibility, Data heterogeneity, Slope units, Positional inaccuracy
Link (URL, URI)https://doi.org/10.1016/j.geomorph.2020.107084
Titolo parallelo-
Data di accettazione04/02/2020
Note/Altre informazioniArticolo n. 107084
Strutture CNR
  • IRPI — Istituto di ricerca per la protezione idrogeologica
Moduli/Attività/Sottoprogetti CNR-
Progetti Europei-
Allegati
Regional susceptibility assessments with heterogeneous landslide information: slope unit- vs. pixel-based approach (documento privato )
Descrizione: post-print
Tipo documento: application/pdf