International Snow Science Workshop Proceedings - Montana State University Library

Item: Remote sensing techniques for helping decision-making in the management of ski areas

• • Title: Remote sensing techniques for helping decision-making in the management of ski areas

    Proceedings: International Snow Science Workshop Proceedings 2018, Innsbruck, Austria

    Authors:

    • Pons, M.  [ Snow and Mountain Research Centre of Andorra, (CENMA-IEA), Sant Julià de Lòria, Andorra ]  [ Sustainability Observatory of Andorra (OBSA), Sant Julià de Lòria, Andorra ]
    • López, Moreno J.I.  [ Pyrenean Institute of Ecology (IPE-CSIC), Zaragoza, Spain ]
    • Revuelto, J.  [ Météo-France, CNRS, Centre d’Etudes de la Neige, Grenoble, France ]
    • Alonso, E.  [ Pyrenean Institute of Ecology (IPE-CSIC), Zaragoza, Spain ]
    • Vilella, M.  [ Sustainability Observatory of Andorra (OBSA), Sant Julià de Lòria, Andorra ]
    • Travesset, O.  [ Sustainability Observatory of Andorra (OBSA), Sant Julià de Lòria, Andorra ]
    • Apodaka, J.  [ Snow and Mountain Research Centre of Andorra, (CENMA-IEA), Sant Julià de Lòria, Andorra ]  [ University of Andorra, Sant Julià de Lòria, Andorra. ]
    • Pesado, C.  [ Sustainability Observatory of Andorra (OBSA), Sant Julià de Lòria, Andorra ]  [ University of Andorra, Sant Julià de Lòria, Andorra. ]
    • Margalef., A.  [ Snow and Mountain Research Centre of Andorra, (CENMA-IEA), Sant Julià de Lòria, Andorra ]
    • Iravani, P.  [ Mechanical Engineering Department, Robotics, Lab, University of Bath, Bath, United Kingdom ]

    Date: 2018-10-07

    Abstract: In recent years different remote sensing techniques have been proved to be very useful for snow measurement and monitoring in alpine environments. Terrestrial Laser Scanner has been tested in different environments and conditions and presented a remarkable performance and accuracy to measure spatial and temporal distribution of snow depth at different scales and levels of precision. Recently, dronebased solutions mainly based on photogrammetry have been tested with less accuracy and resolution but showing great a potential of improvement and development. In parallel recent research has been conducted in the application and usefulness of different remote sensing techniques for snow monitoring in ski resorts. This study presents the first findings of using Terrestrial Laser Scanner and on-board drone LIDAR technologies to measure and monitor the snow depth distribution and explore the potential applications of these techniques to help in the decision-making of slopes and avalanche risk management in ski resorts.

    Object ID: ISSW2018_P06.4.pdf

    Language of Article: English

    Presenter(s):

    Keywords: Remote sensing, LIDAR, terrestrial laser scanner, UAV, snow management

    Page Number(s): 548-552

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