Coastal areas are among the most endangered places in the world, due to their exposure to both marine and terrestrial hazards. Coastal areas host more than two-thirds of the world’s population, and will become increasingly affected by global changes, in particular, rising sea levels. Monitoring and protecting the coastlines have impelled scientists to develop adequate tools and methods to spatially monitor morpho-sedimentary coastal areas. This paper presents the capabilities of the aerial drone, as an “all-in-one” technology, to drive accurate morpho-sedimentary investigations in 1D, 2D and 2.5D at very high resolution. Our results show that drone-related fine-resolution, high accuracies and point density outperform the state-of-the-science manned airborne passive and active methods for shoreline position tracking, digital elevation model as well as point cloud creation. We further discuss the reduced costs per acquisition campaign, the increased spatial and temporal resolution, and demonstrate the potentialities to carry out diachronic and volumetric analyses, bringing new perspectives for coastal scientists and managers.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Morpho–Sedimentary Monitoring in a Coastal Area, from 1D to 2.5D, Using Airborne Drone Imagery


    Beteiligte:
    Antoine Mury (Autor:in) / Antoine Collin (Autor:in) / Dorothée James (Autor:in)


    Erscheinungsdatum :

    2019




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt





    DRONE CONTROL THROUGH IMAGERY

    ANDERSON GLEN J | Europäisches Patentamt | 2017

    Freier Zugriff

    Airborne Imagery

    NTRS | 1983


    Coastal sediment sampling device using drone

    LEE JUN HO / WOO HAN JUN / JEONG KAP SIK | Europäisches Patentamt | 2017

    Freier Zugriff

    Multiscale Object Detection from Drone Imagery Using Ensemble Transfer Learning

    Rahee Walambe / Aboli Marathe / Ketan Kotecha | DOAJ | 2021

    Freier Zugriff