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Silva Fennica 1926-1997
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Acta Forestalia Fennica
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Articles by Mari Myllymäki

Category : Research article

article id 22026, category Research article
Annika Kangas, Mari Myllymäki, Lauri Mehtätalo. (2023). Understanding uncertainty in forest resources maps. Silva Fennica vol. 57 no. 2 article id 22026. https://doi.org/10.14214/sf.22026
Keywords: autocorrelation; ensemble modelling; kriging; quantile; random forest; sequential Gaussian simulation
Highlights: Forest resources maps without uncertainty assessment may lead to false impression of precision; Suitable tools for visualization of map products are lacking; Kriging method provided accurate uncertainty assessment for pixel-level predictions; Quantile random forest algorithm slightly underestimated the pixel-level uncertainties; With simulation it is possible to assess the uncertainty also for landscape-level characteristics.
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