Sökning: "Marc Nelson"

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  1. 1. Evaluating Multitemporal Sentinel-2 data for Forest Mapping using Random Forest

    Master-uppsats, Stockholms universitet/Institutionen för naturgeografi

    Författare :Marc Nelson; [2017]
    Nyckelord :Forest classification; multitemporal; sentinel-2; sentinel 2; classification; forest; random forest; machine learning; cadasterENV; sweden; remote sensing; GIS; geomatics; land cover;

    Sammanfattning : The mapping of land cover using remotely sensed data is most effective when a robust classification method is employed. Random forest is a modern machine learning algorithm that has recently gained interest in the field of remote sensing due to its non-parametric nature, which may be better suited to handle complex, high-dimensional data than conventional techniques. LÄS MER