Emerging wildfire operations aim to improve safety and performance through the integration of technologies including UAS and UTM. Recent advances in natural language processing (NLP) techniques, as well as the availability of wildfire incident reports, has made possible a large-scale analysis of wildfire hazards and trends. Identifying longitudinal trends will help us target risk mitigation and safety management activities. Note: This presentation does not include sound please disregard icon.


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    Titel :

    Wildfire Emergency Response Hazard Extraction and Analysis of Trends (HEAT) through Natural Language Processing and Time Series


    Beteiligte:

    Kongress:

    40th Digital Avionics System Conference ; 2021 ; San Antonio, TX, US


    Medientyp :

    Sonstige


    Format :

    Keine Angabe


    Sprache :

    Englisch