The forest sciences as well as other areas of knowledge benefit from technological advances to develop increasingly their working methods and increase their knowledge of their specific field of study. Are continually developed new equipment and methods to support these applications and, among the equipment and systems developed in recent years, systems for laser scanning and profiling have been consolidated as one of the most effective technologies for geospatial data acquisition. Thus the main objective of this paper is to present a method for data acquisition of lidar-based intensity for forest targets in order to support future correlations between intensity and physicochemical characteristics. The Terrestrial Laser Scanner Ilris 3D OPTECH is based on the time of flight and its electromagnetic spectrum ranges into the mid-infrared, 1535nm. The data acquisition of intensity in forest targets were evaluated from different distances (1m, 2m, 3m e 5m) and radiometric resolutions (8 e 16 bits). After processing, data were analyzed with an in-house software based on the k-means algorithm in order to identify branches and leaves from their intensity values. Although the edge effect occurred in all experiments, the results show that this method is efficient for the identification de leaves and branches from distances up to 5 meters and resolution of 8 bits.Pages: 6121-612
