IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v121y2025i13d10.1007_s11069-025-07411-z.html
   My bibliography  Save this article

LiDAR and photogrammetric study of the Acapulco bay after the October 2023 Otis hurricane in southern Mexico

Author

Listed:
  • Jaime Urrutia-Fucugauchi

    (Universidad Nacional Autónoma de México
    Instituto de Investigacion Cientifica y Estudios Avanzados Chicxulub, Parque Científico y Tecnológico de Yucatán)

  • Israel Fernández-Martínez

    (Universidad Nacional Autónoma de México)

  • Axel Lara-Omaña

    (Universidad Nacional Autónoma de México
    Instituto Politécnico Nacional)

  • Carlos Rosales-Armendariz

    (Universidad Nacional Autónoma de México
    Instituto Politécnico Nacional)

  • Tereza Cavazos

    (Centro de Investigación Científica y Educación Superior de Ensenada)

  • Ligia Pérez-Cruz

    (Universidad Nacional Autónoma de México
    Instituto de Investigacion Cientifica y Estudios Avanzados Chicxulub, Parque Científico y Tecnológico de Yucatán
    Universidad Nacional Autónoma de México)

  • Julián Zapotitla-Roman

    (Universidad Nacional Autónoma de México
    Instituto Politécnico Nacional)

Abstract

We present results of a LiDAR and photogrammetric study carried out following the strongest hurricane of the eastern Tropical Pacific Ocean, Otis on 24–25 October 2023 to characterize the hydrological network and analyze the precipitation effects in the Acapulco Bay. The tropical storm increased its intensity, reaching the coastline as a category 5 hurricane, with sustained winds around ~ 265–270 km/h and low pressures of ~ 923 hPa. Hurricane Otis caused severe damage to infrastructure and population, with the intense winds, rainfall, flooding and debris flows. The study characterizes the topographic relief, streams, channels, confluence and bend points and urban infrastructure. Classified high-resolution models for reflectivity, height point clouds and RGB data are generated, integrating the relief, slope, drainage network, vegetation cover and urban elements. Classified maps and flood simulation modeling constrain water flows, rates and distribution and extent of flooded areas, for different scenarios of spatial–temporal changes in precipitation and flow dynamics. The LiDAR and photogrammetry study provides an interactive baseline platform to analyze precipitation-induced scenarios and risk analysis.

Suggested Citation

  • Jaime Urrutia-Fucugauchi & Israel Fernández-Martínez & Axel Lara-Omaña & Carlos Rosales-Armendariz & Tereza Cavazos & Ligia Pérez-Cruz & Julián Zapotitla-Roman, 2025. "LiDAR and photogrammetric study of the Acapulco bay after the October 2023 Otis hurricane in southern Mexico," 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. 121(13), pages 15733-15750, July.
  • Handle: RePEc:spr:nathaz:v:121:y:2025:i:13:d:10.1007_s11069-025-07411-z
    DOI: 10.1007/s11069-025-07411-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-025-07411-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11069-025-07411-z?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

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    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:spr:nathaz:v:121:y:2025:i:13:d:10.1007_s11069-025-07411-z. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.