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Spatial explicit knowledge regarding the quantity and the spatial distribution of forest parameters is crucial for sustainable forestmanagement, as well as in fulfilling national reporting needs in the framework of international treaties (i.e. Kyoto Protocol, FAO,EFFIS etc). Especially, tree number which can be used for assessing forest tree density (tree number/ha), is among the mostimportant and laboursome parameters to be measured in the field. The aim of this study is to estimate tree number based on the useof nationwide, freely available, very high spatial resolution orthophotos acquired from Greek National Cadastre and MappingAgency during the 2007-2009 period. The study area is the University Forest of Taxiarchis, which is located in central Halkidiki,Northern Greece. The dominant species of the forest includes both broadleaves (oak, beech) and coniferous species (Black pine,Calabrian pine), which are found in both pure and mixed stands. Tree crown detection was tested on natural color orthophoto bandsin several plots. The principal components and intensity-hue-saturation transformations were also applied in order to enhance treedetection accuracy. Local maxima technique was utilized for tree crown detection. Accuracy results were evaluated based on fieldplot data available from the official forest management plan of the area completed in 2011. Overall, the detection accuracy exceeded50% which is deemed satisfactory considering also the heterogeneity of the Mediterranean landscape and the limited spectralresolution of the remote sensing data available

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

Tree number estimation with the use of VHR natural colour orthophotos over a heterogeneous landscape in northern Greece