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Silva Fennica 1926-1997
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Acta Forestalia Fennica
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Articles containing the keyword 'maps'

Category : Article

article id 7362, category Article
Olavi Linnamies. (1942). Metsätalouskartaston soveltaminen sotilastarkoituksiin. Acta Forestalia Fennica vol. 50 no. 9 article id 7362. https://doi.org/10.14214/aff.7362
English title: Use of forest maps in military purposes in Finland.
Original keywords: Metsähallitus; Suomi; kartastot; sotilaskartat; metsätalouskartat
English keywords: forestry; Finland; Forest Service; maps; cartographic material; military maps; forestry maps
Abstract | View details | Full text in PDF | Author Info
article id 7505, category Article
Rauno Väisänen, Kari Heliövaara. (1994). Assessment of insect occurrence in boreal forests based on satellite imagery and field measurements. Acta Forestalia Fennica no. 243 article id 7505. https://doi.org/10.14214/aff.7505
Keywords: biodiversity; remote sensing; insect pests; geological maps; Scolytids; logistic regression models
Abstract | View details | Full text in PDF | Author Info

Category : Research article

article id 975, category Research article
Renats Trubins, Ola Sallnäs. (2014). Categorical mapping from estimates of continuous forest attributes – classification and accuracy. Silva Fennica vol. 48 no. 2 article id 975. https://doi.org/10.14214/sf.975
Keywords: Sweden; land cover maps; forest type maps; map accuracy assessment; class membership probability; Bayesian network; k-NN estimates
Highlights: The paper presents an approach to classification and accuracy assessment of ad-hoc categorical maps based on existing spatial datasets with estimates of continuous forest variables; Pixel level class membership probabilities are estimated using a Bayesian network model.
Abstract | Full text in HTML | Full text in PDF | Author Info
article id 458, category Research article
Sakari Tuominen, Kalle Eerikäinen, Anett Schibalski, Markus Haakana, Aleksi Lehtonen. (2010). Mapping biomass variables with a multi-source forest inventory technique. Silva Fennica vol. 44 no. 1 article id 458. https://doi.org/10.14214/sf.458
Keywords: National Forest Inventory; remote sensing; biomass models; biomass maps
Abstract | View details | Full text in PDF | Author Info

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