Pan-European Forest / Non Forest Map with target year 2006, Data Source: Landsat ETM+ and Corine Land Cover 2006, Classes: forest, non-forest, clouds/snow, no data; Method: automatic classification performed with an in-house algorithm; spatial resolution: 25m...

Pan-European Forest / Non Forest Map with target year 2000, Data Source: Landsat ETM+ and Corine Land Cover 2000, Classes: forest, non-forest, clouds/snow, no data; Method: automatic classification performed with an in-house algorithm; spatial resolution: 25m

This is a pan-European map of living forest above-ground carbon. The map was implemented following IPCC Tier 1 method. Maps of forest biomass stock and carbon are relevant for quantifying terrestrial carbon storage and carbon sinks as well as for estimating po...

Pan-European Forest Type Map with target year 2006, Data Source: Landsat ETM+ and Corine Land Cover 2006 and MODIS composites. Classes: broadleaf, coniferous and mixed class, clouds/snow, no data; Method: automatic classification performed with an in-house al...

News related to forest fires in Europe. The news are derived from an automated process with human intervention. The automated process parse a series of RSS news feed, filtered out by keywords and geoparse them. The human intervention, obtained by the help of a...

The forest morphology is measured with a set of 4 indicators derived from the Morphological Spatial Pattern Application (MSPA) of the GUIDOS software (Soille and Vogt, 2009) with a width of 1 pixel: Core, Edge, Linear, Islet. The forest mosaic is measured with...

The morphological spatial pattern analysis derived from the Forest/Non-Forest Map 2006 (FMAP2006) using the MSPA algorithm at a spatial resolution of 25-m. Further details available in: Soille P, Vogt P, 2008. Morphological segmentation of ...

The morphological spatial pattern analysis derived from the Forest/Non-Forest Map 2000 (FMAP2000) using the MSPA algorithm at a spatial resolution of 25-m. Further details available in: Soille P, Vogt P, 2008. Morphological segmen...

Data on total harvest, salvage loggings and causes of salvage loggings in 17 Member States: Austria, Bulgaria, Croatia, Cyprus, Czech Republic, Estonia, France, Finland, Germany, Hungary, Latvia, Lithuania, Romania, Poland, Slovakia, Slovenia and Sweden.

This is a pan-European map of living forest above-ground biomass. The map was implemented following IPCC Tier 1 method. Maps of forest biomass stock and carbon are relevant for quantifying terrestrial carbon storage and carbon sinks as well as for estimating p...

Data produced by the EFFIS Damage Assessment module, aimed to provide assessment of the burnt areas in Europe at the end of each fire season. Maps of burnt areas are derived from the classification of satellite images, outlining forest fires with a final size ...

This is a pan-European map of living forest above-ground carbon. The map was implemented following IPCC Tier 1 method. Maps of forest biomass stock and carbon are relevant for quantifying terrestrial carbon storage and carbon sinks as well as for estimating po...