Finally all pixels exceeding a forest share of 100% after multiplication, are set back to a value of 100. All pixel values in the respective regions are then multiplied by this ratio. This is achieved by first determining the ratio between the forest area in the map and in the statistics for each region. The calibration iteratively adjusts the pixel values in a region to sum up with the statistics while keeping the forest share per pixel below the maximum possible limit of 100%. The satellite-based forest cover data was first calibrated to sum up to the forest area statistics within a given administrative region. Calibration of the map to official forest inventory statistics Table 1: Overview of applied national forest inventory statistics with data at sub-national level (administrative regions). National Inventory of Woodland and Trees, įederal Forestry Agency Moscow, official forest statistics for 2011 Skogsstatistisk årsbok 2009 (Swedish Statistical Yearbook of Forestry 2009), Skogsstyrelsen (Swedish Forest Agency), Jönköping 2009. Direccão-Geral das Florestas, Lisboa 2001. Inventário florestal nacional Portugal continental, 3. Skog & Landskap (Norwegian Forest and Landscape Institute): Forest inventory statistics, Expertisecentrum LNV, Ministerie van landbouw, natuur en voedselkwaliteit, Ede. Dirkse, G.M., Daamen, W.P., Schoonderwoerd, H., Paasman, J.M., 2003. Metsätilastollinen vuosikirja (Finnish Statistical Yearbook of Forestry). Tercer Inventario Forestal Nacional 1997-2007. Zweite Deutsche Bundeswaldinventur (BWI 2). Results of the national forest inventory in the Czech Republic 2001 - 2004, WSL, Schweizerisches Landesforestinventar, LFI 3, 2004/2006 (Third Swiss forest inventory), De bosinventarisatie van het vlaamse gewest : resultaten van de eerste inventarisatie 1997-1999. Wallony: Walloon Forest Inventory 1994-2004, įlanders: Waterinckx, M. Ergebnisse der Österreichischen Waldinventur 2000-2002. Figure 3 demonstrates the spatial level of detail for the applied statistics.įigure 3: Regional detail of applied national forest inventory statistics.īundesforschungs- und Ausbildungszentrum fuer Wald, Naturgefahren und Landschaft. 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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