MODIS remote monitoring software for fire hazard data analysis, depending on weather that uses meteorological data and information on vegetation fires, is within the research. The software is designed to calculate the meteorological fire danger index according to Nesterov, set up dependency relation of meteorological parameters (daytime air temperature and dew-point, daily precipitation) and vegetation fire propagation. The software involves a relational database model, MySQL database management server, HeidySQL service requesters called clients and Orange data processing. The software was verified in the Russian Far East throughout the fire-hazardous season of 2016. To evaluate fires included in Voronoy diagram, according to MSE, MAE, RMSE and R2, it was determined that Random Forest is the most helpful training algorithm.


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    Titel :

    Multidimensional data analysis software for fire hazard characteristics according to weather


    Beteiligte:
    Glagolev, Vladimir (Autor:in) / Bazhenov, Ruslan (Autor:in) / Dzhaparova, Saltanat (Autor:in) / Gorbunova, Tatiana (Autor:in) / Dolmatova, Olga (Autor:in) / Arkhipova, Zoya (Autor:in) / Kovalev, Igor (Herausgeber:in) / Voroshilova, Anna (Herausgeber:in)

    Kongress:

    PROCEEDINGS OF THE V INTERNATIONAL SCIENTIFIC CONFERENCE ON ADVANCED TECHNOLOGIES IN AEROSPACE, MECHANICAL AND AUTOMATION ENGINEERING: (MIST: Aerospace-V 2023) ; 2023 ; Krasnoyarsk, Russian Federation


    Erschienen in:

    Erscheinungsdatum :

    27.03.2024


    Format / Umfang :

    5 pages





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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