![]() ![]() ![]() Original resolution resampled to 25m (proposed INSPIRE Grid Standard)ĬORINE Land Cover 2006 (seamless Vector layer converted to 25m raster)įor producing the Forest/Non-Forest map 2006 we developed and applied a fully automatic image processing methodology. IRS-P6 LISS-III, SPOT4 (HRVIR) and SPOT5 HRG) The map covers the EU27 countries plus BA, HR, MK, LI, RS, ME, AL, NO, CH, TR, IS. The map was produced exploiting an automatic classification technique based on a Neural Network clustrering algorithm. It includes the classes: forest, non-forest, clouds/snow and no data. The Forest Cover Map 2006 map is 25m spatial resolution raster Pan-European Forest / Non Forest Map with target year 2006 derived from LISS III and SPOT 4/5 imagery and Corine Land Cover 2006 data. (Additional information regarding the global appraoch of the FRA2010 Remote Sensing Survey can be found here) The 2000 Cover Map was used to assess forest cover change in Europe in the framework of the Remote Sensing Survey of the Global Forest Resources Assessment 2010 (FRA2010). ISPRS Journal of Photogrammetry and Remote Sensing 64: 171-183. Pan-European forest/non-forest mapping with Landsat ETM+ and CORINE Land Cover 2000 data. Temporarily unstocked areas will not be classified as forest.įurthermore, due to the similarity of spectral signatures, the following land use classes are difficult to separate and may in certain cases also be classified as forest, as a function of tree density and background reflectance:.Woodlands with trees smaller than 5 m height.Forest nurseries and regeneration area (with canopy closure less than 30%).The following land use categories are therefore not classified as forests in the Forest Cover Map 2000 map: The areas cloassified as forest are therefore the ones occupied by forest and woodlands with a vegetation pattern composed of native or exotic coniferous and/or broad-leaved trees, at the moment of the Landsat images acquisition. The forest class of the Forest Cover 2000 map should be considered as a forest cover class rather than a forest use class. The Forest Cover Map 2000 can be downloaded from here. For further info, see the reported references. For further info, see the reported references.įlow chart of the algorithm used for producing the Forest Cover 2000 Map Results The basic workflow of the algorithm is shown below. In order to avoid problems linked to phenological differences between images and related problems such as equalising the radiometric content of all images, the processing was based on a scene by scene approach. SRTM (Shuttle Radar Topography Mission) Digital Elevation Modelįor producing the Forest/Non-Forest map 2000 we developed and applied a fully automatic image processing methodology. Original 30m resolution resampled to 25m (proposed INSPIRE Grid Standard)ĮTRS89 Lambert Azimuthal Equal Area (ETRS-LAEA)ĬORINE Land Cover 2000 (seamless Vector layer converted to 25m raster) The map covers the EU25 countries, plus BA, BG, HR and MK. The map was produced exploiting an automatic classification technique based on an in-house developed clustering algorithm. The Forest Cover Map 2000 map is 25m spatial resolution raster Pan-European Forest / Non Forest Map with target year 2000 derived from Landsat ETM+ imagery and Corine Land Cover 2000 data. Higher level of geometric (able to detect small patches or non-forest openings and corridors) Higher level of spatial detail than previously available (e.g.Therefore, their use for international comparison for various scientific, policy and reporting purposes is complex. Pan European Forest maps were derived with the following main features: The regional efforts vary also in level of detail, sources of information, forest definition and target groups. There are several efforts of mapping forests at regional to pan-European scales. Information of the spatial distribution of European forests is needed for forest protection and conservation, forest resource analysis, climate change research and other forest related applications. ![]()
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