Regiowood: Forest types 2016

Description

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.

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Latest update

February 17, 2022

License

Creative Commons Attribution 4.0

Metadata quality
44.0%

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ID

620e1231bdfa16c6cc2d9907

Temporality

Creation

February 17, 2022

Frequency

Unknown

Latest update

February 17, 2022

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