The forest, which represents one-third of the Earth surface, has always been in close interaction with human societies. Forests provide many environmental services: soil and water resources protection, reduction of impact of gas emissions, biodiversity reservoir and conservation. Concerns about global changes add to social functions such as recreational activities or wood production and about forest management and silviculture practices. The need for information about the forest resource has never been greater to ensure a sustainable management. The description of the forest stands (location, extent, composition, structure .) and their dendrometric characterization (dominant height, number of trees per hectare, mean quadratic circumference, basal area and volume per hectare .) have become crucial prerequisites indispensable for planning. Remote sensing enables information acquisition over large areas and overcomes the capacity and accessibility limitations inherent in field data collection, which mobilizes significant human and financial resources. The Walloon forest is characterized by a great diversity of situations and preoccupations: type of owner, structure, composition, spatial distribution, stations, fragmentation, silvicultural practices. This diversity makes it particularly relevant to use remote sensing as an information acquisition tool. This thesis lies in this context. The main purpose was the implementation of different types of three-dimensional remote sensing data to determine how they could contribute properly to forest management in Wallonia. First, we considered the use of low-density and regional-scale Airborne Laser Scanning (ALS) data in combination with the data collected by the Walloon Regional Forest Inventory. This combination has shown its potential for quantifying coniferous forest attributes, coupled with regional allometry built on the inventory database. In parallel with the importance of coniferous forest, a major concern is the development of a close-to-nature forestry, promoting ...