IDEAS home Printed from https://ideas.repec.org/a/gam/jgeogr/v4y2024i2p20-362d1405143.html
   My bibliography  Save this article

Photogrammetry from UAV and Low-Cost Lidar for Sinkhole Hazard Mitigation in Urban Areas: Applications and Evaluations

Author

Listed:
  • Francesco Gentili

    (Department of Ecological and Biological Sciences, Tuscia University, Via San Camillo De Lellis snc, 01100 Viterbo, Italy)

  • Sergio Madonna

    (Department of Agriculture and Forest Sciences, Tuscia University, Via San Camillo De Lellis snc, 01100 Viterbo, Italy)

Abstract

The Italian national territory is characterised by the widespread presence of cavities dating back to different periods, especially in urban areas. The lack of knowledge of the position of the entrances, planimetric developments and state of preservation contributes to accentuating the unknowns related to sinkhole risk, which are directly related to potential cavity collapses with the opening of surface chasms. To deepen knowledge with a view to risk mitigation, a method has been developed to employ surveys obtained from Unmanned Aerial Vehicles (UAVs) to locate entrances even in hard-to-access urban areas. These surveys, properly supported with GNSS stations, were then integrated with cavity surveys obtained from low-cost lidar mounted on iPhones. Comparisons were made with traditional surveying techniques to better understand the reliability of the surveys made with low-cost lidar. The 3D models obtained, combined with geomechanical surveys of the rock masses hosting the cavities, allowed the application of simplified and empirical methods for an initial stability assessment. This method was tested on a portion of the municipality of Grotte di Castro (Province of Viterbo—Italy).

Suggested Citation

  • Francesco Gentili & Sergio Madonna, 2024. "Photogrammetry from UAV and Low-Cost Lidar for Sinkhole Hazard Mitigation in Urban Areas: Applications and Evaluations," Geographies, MDPI, vol. 4(2), pages 1-20, May.
    • Handle: RePEc:gam:jgeogr:v:4:y:2024:i:2:p:20-362:d:1405143
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2673-7086/4/2/20/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2673-7086/4/2/20/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. G. Ciotoli & E. Di Loreto & M.G. Finoia & L. Liperi & F. Meloni & S. Nisio & A. Sericola, 2016. "Sinkhole susceptibility, Lazio Region, central Italy," Journal of Maps, Taylor & Francis Journals, vol. 12(2), pages 287-294, March.
    2. Rita Tufano & Luigi Guerriero & Mariagiulia Annibali Corona & Giuseppe Bausilio & Diego Di Martire & Stefania Nisio & Domenico Calcaterra, 2022. "Anthropogenic sinkholes of the city of Naples, Italy: an update," 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. 112(3), pages 2577-2608, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Pooya Dastpak & Rita L. Sousa & Daniel Dias, 2023. "Soil Erosion Due to Defective Pipes: A Hidden Hazard Beneath Our Feet," Sustainability, MDPI, vol. 15(11), pages 1-23, June.
    2. Kiyeon Kim & Joonyoung Kim & Tae-Young Kwak & Choong-Ki Chung, 2018. "Logistic regression model for sinkhole susceptibility due to damaged sewer pipes," 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. 93(2), pages 765-785, September.
    3. Gabriele Medio & Giada Varra & Çağrı Alperen İnan & Luca Cozzolino & Renata Della Morte, 2024. "Sinkhole Risk-Based Sensor Placement for Leakage Localization in Water Distribution Networks with a Data-Driven Approach," Sustainability, MDPI, vol. 16(12), pages 1-20, June.
    4. Vahdettin Demir, 2022. "Trend analysis of lakes and sinkholes in the Konya Closed Basin, in Turkey," 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. 112(3), pages 2873-2912, July.

    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:gam:jgeogr:v:4:y:2024:i:2:p:20-362:d:1405143. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.