2) In addition, country-level statistics on forest area published by Forest Europe 2011 were applied for all countries covered by the map. Various sources of data were used to compile the map according to the availability of data: 1) Recent national forest inventory (NFI) statistics on forest area were used at the sub-national level for 19 European countries, including the European part of the Russian Federation (Table 1). Statistical data on forest area and its distribution for different forest classes are traditionally available through national forest inventory statistics and other national and international forest statistical sources. The combined forest cover map shows the %share of forest in each 1x1km-pixel, but differs from official statistics which was tackled in the next step. 2001, Figure 2) have been used to extend the map up to the Ural mountains, namely covering Belarus, Ukraine, Moldova, European part of the Russian Federation. NOAA-AVHRR forest share estimates at 1km resolution (Schuck et al. It was aggregated from 25m resolution to 1km by summing up the forest area for each 1x1km pixel (Figure 1). 2011) is based on IRS and SPOT data and covers the EU27 countries + Norway, Switzerland, Turkey and the Balkan area. The utilized forest/non-forest map of the EC Joint Research Centre (Kempeneers et al. Besides geographical Europe, the map covers also Turkey. 2001) have been combined with statistical data to produce a new pan-European forest map at 1km resolution that corresponds to the official forest inventory statistics at national and/or regional level. Two different earth-observation products (Kempeneers et al. Method Combination of different data sourcesĮarth Observation data are regarded as a cost-efficient means for locating different types of vegetation cover at the ground level. Figure 2: NOAA-AVHRR-based forest cover data for Eastern Europe at 1km resolution (Schuck et al.
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