A good knowledge of the biomass location, its characteristics (quantity and quality) and its mobilization conditions (exploitability, service roads, mobilization costs) is essential to the development of the forest biomass industry. This knowledge is currently insufficient to provide at reasonable costs, the required guarantees on the wood supply and on its sustainability. The demand is however increasing due to a large number of new projects requiring increasingly large biomass volumes. Indeed, the only consistent data available today are those of the National Forest Inventory (NFI), which are nationwide statistics that do not lend themselves to mapping the resource at sub-regional levels such as a supply basin. Up to now, the use of remote sensing data did not meet the precision requirements to take into account stand structure, which is an essential parameter for the quantification and qualification of the forest resource. Recent developments in LiDAR technology (new sensors, GPS and inertial central), combined to other data sources already available (high resolution satellite images, aerial photographs), are now allowing a precise and fine forest description, in terms of both resource characterisation and mobilization conditions. Integrating this technology will provide an innovative response to the challenges of wood mobilization, including that of wood energy. The Foresee project aims to provide new tools for assessing the characteristics and dynamics of the forest resource biomass and the conditions of its mobilization at the supply basins level.