This research was carried out in the South of Brazil and had as its principal aim a qualitative and quantitative evaluations of the Araucaria angustifolia (Bert.) O. Ktze forests using Landsat imagery. Trough visual interpretation of monochromic images, Araucaria could always be identified by its 10w reflectance characteristic giving a dark tone wi.ch differentiated it from the surrounding forest. A methodology of analysis was developed using the technique of colour enhancement to define the types of forest and to separate the areas of Paraná Pine from the rest of the forested areas. Then diapositives were obtained from the television screen used in the 1-100 computer analysis system, showing different colour combinations wich enhanced certain analytical features. The analysis revealed that Araucaria absorbs a high level of solar energy giving a dark green characteristic wich differentiates it from other vegetation, principally deciduous forests. The following forest types were defined in the mapping; TYPE I - Araucaria angustifolia pure stands, with 80 to 100% density TYPE II - Araucaria angustifolia stands with 50 to 80% density TUPE III - Hardwood forests with a low density of Araucaria angustifolia TYPE IV - Plantations of Araucaria angustifolia TYPE V - Plantations of other species The areas in hectares of each of the Groups identified in the survey are as follows: Group Hectares Percentage I 120.776,56 0,76 II 444.642,20 2,79 III 2.353.307,86 14,78 IV 13.379,73 0,08 V 121.879,70 0,77 TOTAL 3.O53.985,90 19,18 The quantitative evaluation showed that 565,419ha of native forests of Araucaria angustifolia remain wich is 64% of the 1974 area and represents a deforestation rate of 79,294 hectares per year. The results of the study confirm that Landsat data can be sucessfuly used in forest surveys.