IDEAS home Printed from https://ideas.repec.org/a/taf/tjomxx/v12y2016i5p852-859.html
   My bibliography  Save this article

Regional-scale landslide inventory, central-western sector of the Basilicata region (Southern Apennines, Italy)

Author

Listed:
  • Maurizio Lazzari
  • Dario Gioia

Abstract

A detailed landslide inventory map has been drawn for a large sector of the axial-outer zone of the Southern Italian Apennines using photo-aerial interpretation and field survey. Our results reveal a landscape greatly affected by landslide phenomena, which involve about 7% of the entire area. DEM analysis allowed us to assess the influence of landslide processes on the geomorphological evolution and investigate the main predisposing factors, which promote the initiation and evolution of mass movements. In order to understand the influence of lithological and topographic factors on slope processes, an evaluation of the landslide susceptibility has been carried out using the SINMAP model. A statistical comparison between the stability index map and landslides highlights a good prediction ability of the susceptibility assessment. Apart from the implications for mass movement processes and relief evolution, the acquired data can represent a basic contribution to land management and hazard assessment as well as the gathering of basic information on landslide susceptibility of this sector of the southern Apennine chain.

Suggested Citation

  • Maurizio Lazzari & Dario Gioia, 2016. "Regional-scale landslide inventory, central-western sector of the Basilicata region (Southern Apennines, Italy)," Journal of Maps, Taylor & Francis Journals, vol. 12(5), pages 852-859, October.
    • Handle: RePEc:taf:tjomxx:v:12:y:2016:i:5:p:852-859
    DOI: 10.1080/17445647.2015.1091749
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/17445647.2015.1091749
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/17445647.2015.1091749?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sheng Ma & Jian Chen & Saier Wu & Yurou Li, 2023. "Landslide Susceptibility Prediction Using Machine Learning Methods: A Case Study of Landslides in the Yinghu Lake Basin in Shaanxi," Sustainability, MDPI, vol. 15(22), pages 1-26, November.
    2. Luigi Spalluto & Antonio Fiore & Maria Nilla Miccoli & Mario Parise, 2021. "Activity maps of multi-source mudslides from the Daunia Apennines (Apulia, southern Italy)," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 106(1), pages 277-301, March.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:tjomxx:v:12:y:2016:i:5:p:852-859. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tjom20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.