2012) and terrestrial perspectives ( Bienert et al. Moreover, many advantages of the use of ALS have been highlighted in the inventory process aimed at the sustainable forest management, both from aerial ( Wulder et al. From the aerial perspective, Airborne Laser Scanning (ALS) provided interesting results in terms of biomass prediction ( Nyström et al. The main feature of this method is the acquisition of data both from above and under the trees, thanks to the signal used and the waveform analysis.

The utility of forestry laser scanner has been established over time both from terrestrial and aerial perspectives ( Pirotti 2011, Maltamo et al. In the last years, LiDAR (Light Detection And Ranging) techniques have gained scientific and operational attention in forest management. In particular, comprehensive knowledge of the territory is required, for example by adopting geomatics techniques and yielding innovative cartographic products. To this end, the development of practical tools for managing forest resources is needed ( Arnold 1993). The aim of various National and European projects ( CROPS 2010, FIRESMART 2010, NEWFOR 2011) is to contribute to the future sustainable development of the environment and land use. In this scenario, the EU Gothenburg priorities ( ) focus on the effective management of forest ecosystems and risk prevention, as well as the protection and preservation of forest ecosystems. 2006), as well as collect forest inventory data for biomass analysis and soil model ( Fattorini et al. 2015) to increase the efficiency of wood harvesting and transport ( Spinelli et al. A key issue in sustainable forest management is to improve access to mountain forest ( Sylvain et al.

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