Abstract
This thesis is structured in three chapters.In the first one, aerial LiDAR scanning (ALS) data were combine to field measurement of the aboveground biomass to allow a quantification of it at the landscapes scale. Two successive ALS survey were used to quantify AGB stocks and their dynamics.In the second chapter thestructure and dynamics of a liana-infested forest is studied. Permanent plot data, soil survey and seedling survey were combined to remote sensing (ALS and Landsat). Together, these data suggest the liana-infested forest to be in an arrested succession.In the third chapter ALS data were used to model light availability, temperature and relative humidity in forest understory. We show this data can be used to predict ecological relevant climatic variable at the landscape scale.