IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v13y2024i11p1873-d1517366.html
   My bibliography  Save this article

Rockfall Mapping and Monitoring Across the Kalymnos Sport Rock Climbing Sites, Based on Ultra-High-Resolution Remote Sensing Data and Integrated Simulations

Author

Listed:
  • Emmanuel Vassilakis

    (Department of Geology and Geoenvironment, School of Science, National and Kapodistrian University of Athens, 15784 Athens, Greece)

  • Aliki Konsolaki

    (Department of Geology and Geoenvironment, School of Science, National and Kapodistrian University of Athens, 15784 Athens, Greece)

  • Konstantinos Soukis

    (Department of Geology and Geoenvironment, School of Science, National and Kapodistrian University of Athens, 15784 Athens, Greece)

  • Sofia Laskari

    (Department of Geology and Geoenvironment, School of Science, National and Kapodistrian University of Athens, 15784 Athens, Greece)

  • Evelina Kotsi

    (Department of Geology and Geoenvironment, School of Science, National and Kapodistrian University of Athens, 15784 Athens, Greece)

  • John Lialiaris

    (Geodesign PPC, 12134 Peristeri, Greece)

  • Efthymios Lekkas

    (Department of Geology and Geoenvironment, School of Science, National and Kapodistrian University of Athens, 15784 Athens, Greece)

Abstract

This manuscript presents a multidisciplinary study that proposes a methodology for delineating and categorizing vulnerability at rockfall risk areas to avoid human injuries and infrastructure damage caused by rockfalls. The presented workflow includes (i) classical geological mapping, (ii) the interpretation of high-resolution satellite data for observing the spatial distribution of fallen boulders, (iii) analytical hierarchy processing of spatial information within a Geographical Information System (GIS) platform, (iv) close-range remote sensing campaigns with Unmanned Aerial Systems (UASs), and (v) integrated simulation of rockfall events. This methodology was applied to Kalymnos Island, which belongs to the Dodecanese Islands complex of the southeastern Aegean Sea in Greece. It is characterized by unique geomorphological features, including extensive vertical limestone cliffs that span the island. These cliffs make it one of the world’s most densely concentrated areas for sport climbing. The results highlighted the areas that the local authorities need to focus on and suggested measures for increasing the safety of climbers and infrastructure.

Suggested Citation

  • Emmanuel Vassilakis & Aliki Konsolaki & Konstantinos Soukis & Sofia Laskari & Evelina Kotsi & John Lialiaris & Efthymios Lekkas, 2024. "Rockfall Mapping and Monitoring Across the Kalymnos Sport Rock Climbing Sites, Based on Ultra-High-Resolution Remote Sensing Data and Integrated Simulations," Land, MDPI, vol. 13(11), pages 1-20, November.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:11:p:1873-:d:1517366
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/13/11/1873/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/13/11/1873/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sergii Skakun & Nataliia Kussul & Andrii Shelestov & Olga Kussul, 2014. "Flood Hazard and Flood Risk Assessment Using a Time Series of Satellite Images: A Case Study in Namibia," Risk Analysis, John Wiley & Sons, vol. 34(8), pages 1521-1537, August.
    2. Nikolaos Tavoularis & George Papathanassiou & Athanassios Ganas & Panagiotis Argyrakis, 2021. "Development of the Landslide Susceptibility Map of Attica Region, Greece, Based on the Method of Rock Engineering System," Land, MDPI, vol. 10(2), pages 1-31, February.
    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. Qian Wang & Qi-peng Zhang & Yang-yang Liu & Lin-jing Tong & Yan-zhen Zhang & Xiao-yu Li & Jian-long Li, 2020. "Characterizing the spatial distribution of typical natural disaster vulnerability in China from 2010 to 2017," 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. 100(1), pages 3-15, January.
    2. Enrico Miccadei & Cristiano Carabella & Giorgio Paglia, 2022. "Landslide Hazard and Environment Risk Assessment," Land, MDPI, vol. 11(3), pages 1-5, March.
    3. Ali Jamshidi & Shahrzad Faghih‐Roohi & Siamak Hajizadeh & Alfredo Núñez & Robert Babuska & Rolf Dollevoet & Zili Li & Bart De Schutter, 2017. "A Big Data Analysis Approach for Rail Failure Risk Assessment," Risk Analysis, John Wiley & Sons, vol. 37(8), pages 1495-1507, August.
    4. Ruiling Sun & Ge Gao & Zaiwu Gong & Jie Wu, 2020. "A review of risk analysis methods for natural disasters," 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. 100(2), pages 571-593, January.
    5. Maurizio Tiepolo & Maurizio Bacci & Sarah Braccio & Stefano Bechis, 2019. "Multi-Hazard Risk Assessment at Community Level Integrating Local and Scientific Knowledge in the Hodh Chargui, Mauritania," Sustainability, MDPI, vol. 11(18), pages 1-23, September.
    6. Peng Chen & Wei Zhai & Xiankui Yang, 2023. "Enhancing resilience and mobility services for vulnerable groups facing extreme weather: lessons learned from Snowstorm Uri in Harris County, Texas," 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. 118(2), pages 1573-1594, September.

    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:jlands:v:13:y:2024:i:11:p:1873-:d:1517366. 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.