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Evaluating the quality of landslide inventory maps: comparison between archive and surveyed inventories for the Daunia region (Apulia, Southern Italy)

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Abstract

A landslide inventory map, which shows the location of landslide phenomena and contains information about movement type, activity, etc., is a basic element for landslide susceptibility and risk assessment. For this reason, the evaluation of the quality, in terms of accuracy and completeness, of landslide inventory maps is an important issue. In this paper, two landslide inventory maps are compared, in order to determine the corresponding quality, through a direct comparison, aimed to evaluate the degree of cartographic matching between the maps, and the determination of the statistical properties of landslide areas and the comparison between the frequency-area statistics of landslides contained in the two inventories. The two landslide inventory maps at 1:25,000 scale, used for these analyses, have been produced for Daunia region (Apulia, Southern Italy), by the Apulia River Basin Authority; the first, “archive inventory”, by unifying the existing archive inventories; the second, “surveyed inventory”, through aerial-photo interpretation and field investigations.

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References

  • Akgün A, Dag S, Bulut F (2008) Landslide susceptibility mapping for a landslide-prone area (Findikli, NE of Turkey) by likelihood-frequency ratio and weighted linear combination models. Environ Geol 54:1127–1143

    Article  Google Scholar 

  • Alemdağ S, Akgün A, Kaya A, Gökçeoğlu C (2014) A large and rapid planar failure: causes, mechanism and consequences (Mordut, Gumushane, Turkey). Arab J of Geosci 7(3):1205–1221

    Article  Google Scholar 

  • Alkevli T, Ercanoglu M (2011) Assessment of ASTER satellite images in landslide inventory mapping: Yenice-Gökçebey (Western Black Sea Region, Turkey). Bull Eng Geol Environ. doi:10.1007/s10064-011-0353-z

    Google Scholar 

  • Brardinoni F, Slaymaker O, Hassan MA (2003) Landslide inventory in a rugged forested watershed: a comparison between air-photo and field survey data. Geomorphology 54(3–4):179–196

    Article  Google Scholar 

  • Brunsden D (1985) Landslide types, mechanisms, recognition, identification. In: Morgan CS (ed) Landslides in the South Wales Coalfield proceedings symposium. The Polytechnic of Wales, Wales, pp 19–28

    Google Scholar 

  • Carrara A, Cardinali M, Guzzetti F (1992) Uncertainty in assessing landslide hazard and risk. ITC J 2:172–183

    Google Scholar 

  • Cascini L, Fornaro G, Peduto D (2010) Advanced low-and full-resolution DInSAR map generation for slow-moving landslide analysis at different scales. Eng Geol 112:29–42

    Article  Google Scholar 

  • Cheng KS, Wei C, Chang SC (2004) Locating landslides using multi-temporal satellite images. Adv Space Res 33(3):96–301

    Article  Google Scholar 

  • Corominas J, Van Westen CJ, Frattini P, Cascini L, Malet JP, Fotopoulou S, Catani F, Van Den Eeckhaut M, Mavrouli O, Agliardi F, Pitilakis K, Winter MG, Pastor M, Ferlisi S, Tofani V, Hervàa J, Smith JT (2013) Recommendation for the quantitative analysis of landslide risk. Bull Eng Geol Environ. doi:10.1007/s10064-013-0538-8

    Google Scholar 

  • Cruden DM, Varnes DJ (1996) Landslide types and processes. In: Turner AK, Schuster RL (eds) Landslides, investigation and mitigation, special report 247. Transportation Research Board, Washington, DC, pp 36–75

    Google Scholar 

  • Dikau R, Brunsden D, Schrott L, Ibsen ML (1996) Landslide Recognition. Identification, Movements and Causes. Wiley, Chichester

    Google Scholar 

  • Duman TY, Çan T, Emre Ö, Keçer M, Doğan A, Şerafettin A, Serap D (2005) Landslide inventory of northwestern Anatolia. Turk Eng Geol 77(1–2):99–114

    Article  Google Scholar 

  • Fell R, Corominas J, Bonnard C, Cascini L, Leroi E, Savage WZ (2008) Guidelines for landslide susceptibility, hazard and risk zoning for land use planning. Eng Geol 102:85–98

    Article  Google Scholar 

  • Galli M, Ardizzone F, Cardinali M, Guzzetti F, Reichenbach P (2008) Comparing landslide inventory maps. Geomorphology 94:268–289

    Article  Google Scholar 

  • Glade T (1998) Establishing the frequency and magnitude of landslide-triggering rainstorm events in New Zealand. Environ Geol 35(2–3):160–174

    Article  Google Scholar 

  • Gokceoglu C, Sezer E (2009) A statistical assessment on international landslide literature (1945–2008). Landslides 6:345–351

    Article  Google Scholar 

  • Gokceoglu C, Sönmez H, Nefeslioglu HA, Duman TY, Can T (2005) The March 17, 2005 Kuzulu landslide (Sivas, Turkey) and landslide susceptibility map of its near vicinity. Eng Geol 81(1):65–83

    Article  Google Scholar 

  • Guzzetti F, Cardinali M, Reichenbach P (1994) The AVI project: a bibliographical and archive inventory of landslides and floods in Italy. Environ Manag 18(4):623–633

    Article  Google Scholar 

  • Guzzetti F, Carrara A, Cardinali M, Reichenbach P (1999) Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy. Geomorphology 31:181–216

    Article  Google Scholar 

  • Guzzetti F, Cardinali M, Reichenbach P, Carrara A (2000) Comparing landslide maps: a case study in the upper Tiber River Basin, Central Italy. Environ Manag 25(3):247–363

    Article  Google Scholar 

  • Guzzetti F, Malamud BD, Turcotte DL, Reichenbach P (2002) Power-law correlations of landslide areas in central Italy. Earth Planet Sci Lett 195:169–183

    Article  Google Scholar 

  • Guzzetti F, Galli M, Reichenbach P, Ardizzone F, Cardinali M (2006a) Landslide hazard assessment in the Collazzone area, Umbria, central Italy. Nat Hazards Earth Syst Sci 6:115–131

    Article  Google Scholar 

  • Guzzetti F, Reichenbach P, Ardizzone F, Cardinali M, Galli M (2006b) Estimating the quality of landslide susceptibility models. Geomorphology 81:166–184

    Article  Google Scholar 

  • Guzzetti F, Mondini AC, Cardinali M, Fiorucci F, Santangelo M, Chang KT (2012) Landslide inventory maps: new tools for an old problem. Earth Sci Rev 112:42–66

    Article  Google Scholar 

  • IAEG Commission on Landslides (1990) Suggested nomenclature for landslides. Bull Int Assoc Eng Geol. 41:13–16

    Article  Google Scholar 

  • IUGS WG/L (1995) A suggested method for describing the rate of movement of a landslide. Bull Int Assoc Eng Geol 52:75–78

    Article  Google Scholar 

  • Law 3 August 1998, n. 267 “Conversione in legge, con modificazioni, del decreto-legge 11 giugno 1998, n. 180, recante misure urgenti per la prevenzione del rischio idrogeologico ed a favore delle zone colpite da disastri franosi nella regione Campania”

  • Lee S, Lee M-J (2006) Detecting landslide location using KOMPSAT 1 and its application to landslide-susceptibility mapping at the Gangneung area Korea. Adv Space Res 38(10):2261–2271

    Article  Google Scholar 

  • Malamud BD, Turcotte DL, Guzzetti F, Reichenbach P (2004) Landslide inventories and their statistical properties. Earth Surf Proc Land 29(6):687–711

    Article  Google Scholar 

  • Nichol EJ, Shaker A, Wong M-S (2006) Application of high-resolution stereo satellite images to detailed landslide hazard assessment. Geomorphology 76:68–75

    Article  Google Scholar 

  • Ocakoglu F, Gokceoglu C, Ercanoglu M (2002) Dynamics of a complex mass movement triggered by heavy rainfall: a case study from NW Turkey. Geomorphology 42(3–4):329–341

    Article  Google Scholar 

  • Ocakoglu F, Acikalin S, Gokceoglu C, Karabacak V, Cherkinsky A (2009) A multistory gigantic subaerial debris flow in an active fault scarp from NW Anatolia: anatomy, mechanism and timing. Holocene 19(6):955–965

    Article  Google Scholar 

  • Pellicani R, Frattini P, Spilotro G (2013a) Landslide susceptibility assessment in Apulian Southern Apennine: heuristic vs statistical methods. Environ Earth Sci. doi:10.1007/s12665-013-3026-3

    Google Scholar 

  • Pellicani R, Van Westen CJ, Spilotro G (2013b) Assessing landslide exposure in areas with limited landslide information. Landslides. doi:10.1007/s10346-013-0386-4

    Google Scholar 

  • Pennetta L (2006) Rapporto sulle frane in Italia—Analisi del dissesto da frana in Puglia. Progetto IFFI 21:547–576

    Google Scholar 

  • POR PUGLIA 2000-2006 (2009) Sistema informativo delle aree soggette a fenomeni di instabilità nella Regione Puglia e individuazione sperimentale di alcune aree campione a rischio di instabilità. AdB Puglia, Bari, Italy

  • Pourghasemi HR, Pradhan B, Gokceoglu C (2012) Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed, Iran. Nat Hazards 63(2):965–996

    Article  Google Scholar 

  • Pradhan B, Akcapinar Sezer E, Gokceoglu C, Buchroithner MF (2010) Landslide susceptibility mapping by neuro-fuzzy approach in a landslide prone area (Cameron Highland, Malaysia). IEEE Trans Geosci Remote Sens 48(12):4164–4177

    Article  Google Scholar 

  • Reichenbach P, Galli M, Cardinali M, Guzzetti F, Ardizzone F (2005) Geomorphologic mapping to assess landslide risk: concepts, methods and applications in the Umbria Region of central Italy. In: Glade T, Anderson MG, Crozier MJ (eds) Landslide risk assessment. Wiley, Chichester, pp 429–468

    Google Scholar 

  • Rib HT, Liang T (1978) Recognition and identification. In: Schuster RL, Krizek RJ (eds) Landslide analysis and control: transportation research board special report, 176. National Academy of Sciences, Washington, pp 34–80

    Google Scholar 

  • Soeters R, van Westen CJ (1996) Slope instability recognition, analysis, and zonation. In: Turner AK, Schuster RL (eds) Landslides investigation and mitigation. National Academy Press, Washington, DC, pp 129–177. ISBN 0-309-06151-2

    Google Scholar 

  • Stark CP, Hovious N (2001) The characterization of landslide size distributions. Geophys Res Lett 28:1091–1094

    Article  Google Scholar 

  • Trigila A, Iadanza C, Spizzichino D (2010) Quality assessment of the Italian landslide inventory using GIS processing. Landslides 7:455–470. doi:10.1007/s10346-010-0213-0

    Article  Google Scholar 

  • Van Den Eeckhaut M, Hervás J (2011) State of the art of national landslide databases in Europe and their potential for assessing landslide susceptibility, hazard and risk. Geomorphology. doi:10.1016/j.geomorph.2011.12.006

    Google Scholar 

  • Van Westen CJ, Castellanos Abella EA, Sekhar LK (2008) Spatial data for landslide susceptibility, hazards and vulnerability assessment: an overview. Eng Geol 102:112–131

    Article  Google Scholar 

  • Varnes DJ, The IAEG Commission on Landslides and other Mass-Movements (1984) Landslide hazard zonation: a review of principles and practice. The UNESCO Press, Paris

    Google Scholar 

  • Wieczorek GF (1984) Preparing a detailed landslide-inventory map for hazard evaluation and reduction. Bull Assoc Eng Geol 21(3):337–342

    Google Scholar 

  • Witt A, Malamud BD, Rossi M, Guzzetti F (1998) Peruccacci S (2010) temporal correlation and clustering of landslides. Earth Surf Proc Land 35(10):1138–1156. doi:10.1002/esp

    Article  Google Scholar 

  • WP/WLI—International Geotechnical Societies’ UNESCO Working Party on World Landslide Inventory (1990) A suggested method for reporting a landslide. Int Assoc Eng Geol Bull 41:5–12

    Article  Google Scholar 

Download references

Acknowledgments

The work presented herein is part of the PhD research of Roberta Pellicani carried out within the project PRIN08, coordinated by Prof. Giuseppe Spilotro. The authors wish to express their gratitude to the River Basin Authority of Apulia for providing them the two landslide inventory maps, produced during the project POR PUGLIA 2000–2006 (2009), and also to thank the anonymous reviewers for their constructive remarks and suggestions.

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  1. Department of European and Mediterranean Cultures, University of Basilicata, Matera, Italy

    Roberta Pellicani & Giuseppe Spilotro

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  1. Roberta Pellicani
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  2. Giuseppe Spilotro
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Correspondence to Roberta Pellicani.

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Pellicani, R., Spilotro, G. Evaluating the quality of landslide inventory maps: comparison between archive and surveyed inventories for the Daunia region (Apulia, Southern Italy). Bull Eng Geol Environ 74, 357–367 (2015). https://doi.org/10.1007/s10064-014-0639-z

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