Forest types in the Greater Region 2016

Although the classification is based on different methodologies in different regions, the final result is a consistent cross-border map. The accuracy of the classification is 88%.

Please note that the date of the "Aerial Imagery" background map data may differ from the Regiowood data depending on the sub-entity of the Greater Region.

Resources

regiowood-forest-types-2016-2088-forest-types-regiowood-2016-0.shp.zip

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