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  • publication . Article . 2017
    Open Access Swedish
    Authors:
    Svetlana Saarela; Johannes Breidenbach; Pasi Raumonen; Anton Grafström; Göran Ståhl; Mark J. Ducey; Rasmus Astrup;
    Persistent Identifiers
    Country: Sweden
    Project: EC | DIABOLO (633464)

    This study presents an approach for predicting stand-level forest attributes utilizing mobile laser scanning data collected as a nonprobability sample. Firstly, recordings of stem density were made at point locations every 10th metre along a subjectively chosen mobile l...

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1 research outcomes, page 1 of 1