Landslides erosive scars are natural elements that contribute to tropical forest biodiversity, mainly due to the processes of ecological succession triggered inside and variations of micro-climatic conditions derived, such as brightness, shading, humidity and temperature. Shapes, sizes and location of landslides erosive scars influence the subsequent effects of revegetation and erosion. Thus the main question this study focuses on the use of satellite images with high resolution and Geographic Information Systems as a framework for technical help in the classification of mass movements and skills in this class computing environment. Given the events of April 2010 in Rio de Janeiro, this study aims at evaluating the investigative potential of high resolution images orthorectified IKONOS sensor, through the mapping and classification of mass movements. To this end it has been constructed a database containing georeferenced information geomorphology, soil, geotechnical and roofing past tenses of the Tijuca massif, in order to classify the conditions of coverage "mass movement". Variables will be adopted as the shape, geometry and position on slope, land cover and soil, which were subsequently validated in field research.