THEMOLiDAR project propose the application of advance technologies and methods aimed at increasing efficiency, productivity and reliability of forest exploitation to ensure sustainable forest management. Traditionally, forest management has been performed based on forest inventory measured in the field using hand-held equipment. These methodologies are expensive and have very low efficiency. In a global change scenario context, current forest inventories should include further information related with the status of the health and the dynamic trends of the forest. The detection of predictive physiological variables such us water stress link to accurate structural information must be considered as key solution for the assessment, management and exploitation of forest. The use of new technologies to estimate physiological and structural data is critical to optimize the costs related to traditional forest inventories. The integrated estimation of structural and physiological variables in European forest inventories can provide a substantial leap forward in the way we assess forest condition and as a guide to inform decisions. In this area, the combined use of remote sensing tools with field methods will enhance the quality and the extent of our knowledge about our forest resources.The main objective of THEMOLiDAR is the combination of airborne LiDAR with THERMAL data sets to determine structural information of tree, canopy organization and physiological variables obtained at the scale of individual trees in order to implement monitoring capabilities over large areas. This approach is essential in a context of climate change to evaluate and support forest management practices as described in forest predictive models. The THERMOLiDAR project will aim at the development of software capable of processing both LiDAR and THERMAL imagery as an operational tool for the SMEs participants.