This paper describes a data quality aware framework for developing a repeatable flight mission design for fugitive methane sniffing missions using fixed wing small unmanned aerial systems (sUAS) in rural areas. The design outlines general aircraft requirements & performance characteristics as well as overviews required sensors and their performance & data quality considerations. Using Gaussian plume models, atmospheric stability and detection experiments from previous works - we outline a mission design that focuses on detection of downwind plume using a two flux plane flight path. This mission design aims to aid future efforts in improving flux quantification accuracy, uncertainty and comparison between individual experiments.


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    Titel :

    Data Quality Aware Flight Mission Design for Fugitive Methane Sniffing using Fixed Wing sUAS


    Beteiligte:


    Erscheinungsdatum :

    2019-06-01


    Format / Umfang :

    4325385 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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