Sökning: "Jung-ching Kan"

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  1. 1. Predicting Drought Hazard In Sweden Using Google Earth Engine And Machine Learning Approach

    Master-uppsats, KTH/Hållbar utveckling, miljövetenskap och teknik

    Författare :Jung-ching Kan; [2022]
    Nyckelord :drought forecast; google earth engine; machine learning; Sweden; torkaprognos; google earth engine; maskininlärning; Sverige;

    Sammanfattning : Drought, being one the most complex natural hazards, has a significant impact on society. To mitigate the impact and risk, it is crucial to be able to forecast drought, which is a challenging task. Nowadays, with technology innovations, large amounts of remote sensing data is available on the cloud. LÄS MER